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In this Clip from Journo Insight, Dan is joined by Liverpool Echo journalist Paul Gorst to discuss Liverpool being on the verge of signing Bradley Barcola for £100M + £20M in potential add-ons and whether they can sign one more winger this summer. Hosted on Acast. See acast.com/privacy for more information.

Most churches don’t start thinking about leadership development until a key person resigns. By then, the only real option is to post the role and hope someone qualified applies. In this special compilation episode, we’ve pulled together four conversations with leaders who have built the habit of developing people long before the seat opens up. The churches growing fastest right now are rarely the ones with the best job postings. They’re the ones who already know who’s next. Don’t miss the four critical lessons every church should consider as they head into fall hiring and budget planning. From the leadership model that quietly keeps benches empty to a mindset shift about where leaders actually come from to a challenge you could give your team on Monday to the structure that produces people you can genuinely put on payroll, each conversation offers a practical step forward. The Model Nobody Names Out Loud Tim Foot explains what he calls hero-driven leadership: the habit of relying too heavily on standout individuals to carry the mission. It produces short-term results, but it creates burnout, unrealistic hiring expectations, and fragile systems. What makes it so hard to escape is that it feels good. It feels productive to be the person who solves the problems and holds the answers. Foot also names the “shiny object trap,” where churches chase talent from larger organizations only to discover that the leader arrives with a playbook that doesn’t fit and no systems to support them. Key Takeaway // Hero dependence is a staffing strategy, whether or not anyone chose it on purpose. Healthy teams are built when leaders get comfortable saying they don’t know what to do next, because that’s what opens the room for collaboration. Listen to the Full Episode // Hero Dependence Is a Terrible Growth Strategy with Tim Foot (June 18, 2026) The Leaders Are Already in Your Building Spence Shelton draws a parallel most church leaders have never made. We all agree that growing a church by reaching lost people beats growing it by transfer from other churches. Then, when it comes to leaders, we reverse the logic and look for someone who’s already trained elsewhere. Shelton makes the case for the shoulder tap: intentionally asking someone whether God might be calling them into ministry. At Mercy Church, both executive pastors and two of three campus pastors came out of the marketplace, from banking, plant management, and physical therapy. None of them would have applied. Somebody had to ask. Key Takeaway // Many future ministry leaders never consider vocational ministry because no one ever raised the possibility with them. Developing from within takes longer than hiring from outside, and it produces leaders shaped by your church’s culture rather than someone else’s. Listen to the Full Episode // Stop Plucking Talent, Start Developing It with Spence Shelton (August 6, 2026) The Challenge That Costs Nothing Chris Vaught faced the constraint every growing church knows well. Connection Point was growing fast, but budget always arrives last, and southeastern Missouri isn’t a place people relocate to for a ministry position. So the church started looking at its own congregation and treating volunteers as unpaid staff with real roles and responsibilities. The starting point was a single challenge to every staff member: go find your Timothy. One person you invest in deeply enough that if you were out on a Sunday, the ministry would still run. Key Takeaway // A leadership pipeline doesn’t have to begin with a budget line. It can begin with one question asked of every staff member about who could carry their ministry if they weren’t there next weekend. Listen to the Full Episode // From 300 to 2,500: Building a Leadership Pipeline That Fuels Growth with Chris Vaught (September 25, 2025) Training Is Not Development Dave Miller draws a distinction that reframes what most churches call leadership development. Churches are excellent at training: the sermon, the class, the book of the month, the small group discussion. All of it is content delivery, and content has never been more available. Development is something else. Miller’s team identifies seven ingredients: training, spiritual formation, soft skills, ownership, mental wellness, and developmental conversations. He also challenges leaders on where accountability sits. When a sports team wins, we talk about the players. When it loses, we replace the manager. Church leaders should apply the same standard to the people they’re developing. Key Takeaway // If content were the key ingredient, leadership development would already be solved. What emerging leaders need is proximity, ownership, and someone willing to slow down and have the conversation. Listen to the Full Episode // Who’s the Next You? Building a Gen Z Residency Pipeline with Dave Miller (September 11, 2025) These four conversations form a ladder, and you don’t have to start at the top. Most churches never start at all because they assume the only real option is a residency program they can’t yet afford. Tim named the model keeping your bench empty. Spence gave the mindset shift and the shoulder tap. Chris gave the first move that costs nothing. Dave gave the structure that produces people you can hire. As you head into this fall, the question worth bringing to your next staff meeting is simple: who on our team has never been tapped on the shoulder, and what would it take to have that conversation this month? Thank You for Tuning In! There are a lot of podcasts you could be tuning into today, but you chose unSeminary, and I'm grateful for that. If you enjoyed today's show, please share it by using the social media buttons you see at the left hand side of this page. Also, kindly consider taking the 60-seconds it takes to leave an honest review and rating for the podcast on iTunes, they're extremely helpful when it comes to the ranking of the show and you can bet that I read every single one of them personally! Thank You to This Episode’s Sponsor: TouchPoint As your church reaches more people, one of the biggest challenges is making sure no one slips through the cracks along the way.TouchPoint Church Management Software is an all-in-one ecosystem built for churches that want to elevate discipleship by providing clear data, strong engagement tools, and dependable workflows that scale as you grow. TouchPoint is trusted by some of the fastest-growing and largest churches in the country because it helps teams stay aligned, understand who they're reaching, and make confident ministry decisions week after week. If you've been wondering whether your current system can carry your next season of growth, it may be time to explore what TouchPoint can do for you. You can evaluate TouchPoint during a free, no-pressure one-hour demo at TouchPointSoftware.com/demo. Episode Transcript Rich Birch — At the beginning of 2026, we surveyed executive pastors like you and nearly one in four named that staff health and structure, how we get our teams to work together was your top fear going into 2026. You know and I know it, you probably have an open role at your church that you’re trying to fill, or you’re maybe about to have an open role. When a key person leaves your team and your instinct is just to post it, what can we do?Rich Birch — Finding, releasing, equipping leadership is critically important. Welcome to the last compilation episode of summer 2026 here on the unSeminary podcast. Super excited about today’s conversation, all about developing leaders within our organizations.Rich Birch — I know that in many churches, we think of this as a season where new staff are hiring or we’re hiring them into new roles. We’re working on budget planning for next year. There’s all the fall ramp up.Rich Birch — All four of these conversations are going to be helpful for you. The first one, we’ve got Tim Foot. He is the CEO of Slingshot, has nearly 30 years in ministry leadership, and his team has literally worked with thousands of churches on staffing.Rich Birch — Listen to this kickoff to today’s conversation, really setting up the tension that we find ourselves in. He names the leadership model that most of us have absorbed without anyone talking about it out loud, and it could be derailing your church and my church. Let’s listen in to what Tim has to say about developing leaders. [Clip 1 Begins]Tim Foot — Yeah, I mean, the model we see is hero-driven leadership. It’s when we rely too much on individuals to actually carry the mission. And I think the cracks have happened.Tim Foot — I mean, we’ve seen it, Rich. You and I are similar ages. I think the cracks are happening generationally.Tim Foot — The builders and boomers were wired differently for a different time and culture. And us Gen Xers, we can code switch. I mean, we see that happening all the time.Tim Foot — And as we stepped into leadership, the cracks started to appear. I mean, we see it every week, another leader burning out, doing stupid things because of too much pressure. Then Millennials and Gen Z are now leading in a new way that we need to embrace.Tim Foot — And so I think we’re seeing those cracks around that hero dependence, and we’re starting to see the need more than ever to have a team awareness, a holistic approach, or we’re just going to have leaders continue to burn out. And we see it around unrealistic hiring expectations, lack of support for great leaders when they’re hired, a lack of development. Hero dependence is a terrible staffing and growth strategy and becomes a massive trap when it comes to a number of the key focus areas or patterns we’ve seen that healthy teams focus on a move mission forward.Rich Birch — Yeah, see, this is the thing when you I heard you say that once and it literally I sat up and I was like, oh, man, I’ve seen that in my own, you know, my own hiring. I’ve seen that in the way I’ve talked with, you know, I see the leaders around me. You see these people who they’ve kind of built the entire ministry around themselves and they’ve built it’s like it doesn’t work if they don’t. It’s like they’re such a unique individual. They have to lift it all. Rich Birch — Like, why do we keep coming back to that? Why? Even if we know like intellectually in our heads, yeah, that’s not a good idea.Rich Birch — But what makes that model so sticky? It feels like we just keep coming back to this same thing time. In fact, we actually reward it. We’ll be like, wow, isn’t that great? This person’s amazing. And we just kind of keep moving on. Why is that?Tim Foot — It’s the shiny object trap. I mean, the shiny object, aka the talented leader that we think is going to catapult the ministry. Often we see it in hiring conversations when a particular organization wants to go after somebody that’s been in a much bigger organization than them.Tim Foot — And often that person, if they can attract them, will come in with a playbook that isn’t uniquely suited to the organization they’re stepping into. Or there aren’t systems to support that new leader and the growth that’s going to happen. And burnout happens at every level.Tim Foot — But we both know, Rich, busy work makes us feel productive. But is it the right work? And we know that we can be ourselves the shiny object. It feels good to be the hero. It feels good to be the one that’s solving problems. It feels good to be the one that has all the answers.Tim Foot — And I think that’s one of the biggest threats in healthy leadership today, is feeling like you have to have all the answers. Because I think one of the most powerful statements from healthy leaders and healthy teams is, Hey, we don’t know what to do next. Because it actually opens up the room for new thought. It opens up the room for collaboration. And it opens up the room for teamwork. Tim Foot — But it’s easier to move quick. It’s easier to move quick and be surrounded by people who agree and play it safe. And then down the road, we realize that we weren’t growing in every sense of that word. And the mission was stalled out.Tim Foot — We know we often have to slow down, re-strategize, look at who’s around the table, work out how we work together to move faster in the long term. We have to be vulnerable to make a team work. And sometimes it requires us to actually help others win than focus on heroes.Tim Foot — I mean, you think about a winning sports team. It’s not about just one person out there doing all the work. We’ve got to work together as a team.Tim Foot — You know, it’s how do we work together and have less dependence on that shiny object, those standout leaders or those heroes. [Clip 1 Ends]Rich Birch — Oh, so good. You know, Tim named something there. Man, it feels good to be the person with all the answers.Rich Birch — Can I have a little confessional time with you, friends? Earlier parts of my ministry career, I have really struggled with that. I wanted to be the person who had all the answers, but it’s a trap. And most of us find ourselves in it. Rich Birch — We’ve got to move beyond hero dependence, either wanting to be the hero or to find heroes. It’s not a character flaw. It’s a system that ultimately rewards the wrong thing. Rich Birch — So the question that I have is what is the alternative? Where do we go if we’re not just trying to hire the next shiny object?Rich Birch — The thing that will, the person that will, you know, plug in like a thing, where do leaders actually come from? I love this conversation coming up with Spence Shelton as the lead pastor of Mercy Church in Charlotte, planted in 2015, now three campuses online, plus launching a family of churches. I want you to listen for a few things.Rich Birch — First of all, Spence parallels, makes a parallel that I really have not heard many people say between how we think about reaching people who are far from God and how we think about finding leaders and how these two are connected. Listen carefully for the shoulder tap that he talks about. You know, oftentimes one of the things I find most revealing about podcast interviews is people say things just in the sides that really do under that, that give you a sense of what’s actually going on under the hood and pay attention to where his executive pastor campus pastors come from.Rich Birch — Let’s listen in to what Spence Shelton has to say. [Clip 2 Begins]Spence Shelton — I think that mentality starts all the way down to the idea of reaching people that don’t know Christ versus just sheep swapping from one church to the other church, right? So you can grow your church by transfer growth, which I actually am one who, hey man, if somebody’s on the sideline in one church and then they plug into your church, I’m all for it. And if the same thing happens with Mercy, all for it.Spence Shelton — But our aim, what we all know as pastors and ministry leaders is our aim is, man, let’s reach lost people and then disciple them, right? The same thing I think should be true with leadership development. For some reason, when it comes then to developing leaders, we tend to go a different direction and think, well, let’s just go find where some leaders are and get them to plug in.Spence Shelton — It’s like, we don’t do that even with discipleship. Why are we switching our mindset? And so I want to just kind of, I have to, I was convicted and wanted to call our church and I would call others to the same mindset that you have with discipleship.Spence Shelton — Let that carry over into your leadership and your leadership development as well. And I think that’s how we’re going to grow, just as how we’re going to grow the kingdom by reaching lost people, how we’re going to grow the leaders in the kingdom, the number of leaders we have, it’s going to be developing them in our church. And I just, I don’t know that we’re even thinking that way and asking the question, is the guy who’s a 27-year-old physical therapist in my church, has anybody ever bothered to tap him on the shoulder and ask, Hey man, could God be calling you into ministry because I watch you?Spence Shelton — And no, we’re not doing the shoulder tap, man. And so, um, our right now, I just, I love it. I’m just a little bit of the story of our church. Our exec, both of our executive pastors and two of our three campus pastors were all in the marketplace. Spence Shelton — One of our executive pastors was in banking. Another was a plant manager. We have two campus pastors who were both, I use physical therapists cause they’re both former physical therapists. And you know, we’re sitting there having these conversations. You know, what makes a great pastor is someone who has sat with person after person, told them, Hey, you should do this to feel better.Spence Shelton — And then they come back to you later and say, Hey, I don’t feel better. And you say, did you do the thing I told you to do? And they say, no. And you say, well, you should have done that. Spence Shelton — And a patient long suffering physical therapist turns out to be a great pastor, but somebody has got to tap him on the shoulder and say, Hey man, I think God might be calling you into this. Spence Shelton — And so my, my encouragement to anybody who’s in ministry right now, kind of in that leadership development role. And you’re like, I don’t know, we’re going to have to go outside to find some talent. I promise it’s going to take longer the way I’m talking about. But if you will seek the Lord, ask the Lord, and then start shoulder tapping and giving some opportunities for guys to lead for men and women to lead there in your ministry and whatever the leadership roles might be. I think there might be more people in there than you realize, because I believe that God provides for the church that he’s growing, that he’s called you to lead. And so I think that’s true with leaders as well. [Clip 2 Ends]Rich Birch — Hey, friends, 9 out of 10 campus pastors, they do come from within. So if you are launching new locations in the future, man, we got to start developing campus pastors today. Rich Birch — But I know some of you are saying, listen, listen, listen. Yeah, yeah, yeah. That all sounds good. Shoulder tapping. Great, great, great. Rich Birch — But how, how do I do it? How do I train my team to do it? How do we motivate, stay focused on this? Rich Birch — The gap that my, what I have found, it’s not desire. It’s not even understand that people don’t understand that that’s how we do it. It’s not a resistance to those things. It’s none of that. It’s just that nobody owns it because you see development is everyone’s job, which means that it’s nobody’s job.Rich Birch — It’s easy for this to fall through the cracks. Aren’t we all supposed to be developing leaders? So if we’re all developing leaders, my experience has been that means that really none of us are or we’re not doing it in a systematic way.Rich Birch — Super excited to have Chris Vaught with us. He is the lead pastor of Connection Point Church in Missouri. Listen, it grew from 300 people in 2011 to 2,500 today across multiple campuses.Rich Birch — And he outlines one challenge that Chris gave every staff member. And I really want you to listen carefully for this, because to be honest, this is pure unSeminary magic. This is like what I love about our podcast.Rich Birch — You could take this out of this interview today and put it into your next team meeting on Monday. Apply it to your church. Let’s listen in for what Chris wants to say to you about how we train people to shoulder tap, find leaders and release them. [Clip 3 Begins]Chris Vaught — You can only hire out so much, right? Because even though our church has grown fast, budget always comes up last. But you have to look at other avenues other than just, oh, I’ll hire another position.Chris Vaught — So we started looking at congregation. We began to develop our own leadership pathway or pipeline to develop not only volunteers, but our future staff. We knew we grew really fast. We need to hire from within, but we still couldn’t hire every position. Chris Vaught — So we started looking at our volunteers as almost as non-paid staff positions. And so we have an atmosphere of expectation of roles and responsibilities and also the value of what they’re doing.Chris Vaught — That the kingdom is dependent upon all of us using our gifts and talents. And so we started this pathway. And at first it was simply a challenge to every staff member. You go find your Timothy. You go find one other person that you can invest yourself into, a volunteer. Chris Vaught — So that if on Saturday night, and here was kind of the criteria for us: if on Saturday night, something were to happen and you catch COVID. Okay. We’re at that time. Could this ministry run the next day because of the person you have personally equipped… Rich Birch — I love that clarity. Chris Vaught — …to hold the ministry.Rich Birch — Yeah, that’s so good.Rich Birch — We began to put those pieces together. That’s right. You go ahead. I cut you off there. Chris Vaught — No, no. I was just saying that’s what we began. We began this pipeline and that was really the basic level at first. Every staff member finding that one Timothy, if you will, if you want to use that terminology, that could run that ministry if you were out. [Clip 3 Ends]Rich Birch — See what I told you? The Saturday night test is literally the cheapest leadership development tool in this entire episode. If you do nothing else out of today’s episode, do that.Rich Birch — But I know, listen, there can be a gap on that, a ceiling. Finding your Timothy fills gaps, but it does not produce people necessarily kind of week-in, week-out that you could put on print a payroll. You need to also do some development. You need to have some intentional leadership development.Rich Birch — Most churches, again, think that they’re developing leaders, but they’re really just handing out books or running a monthly team meeting, that sort of thing. I want to introduce you, reintroduce you to my friend Dave Miller. He’s a former worship and creative arts pastor in Las Vegas, in Kentucky, in Michigan, and he and his team have worked with over 150 churches and over 160 residents.Rich Birch — What do we mean by residents? These are people that are in the pipeline for thinking clearly in their lives about joining your staff team or staff teams of another church somewhere across the country. He defines seven ingredients.Rich Birch — Listen, I had the honor of writing the foreword to Dave’s book, Who’s the Next You? I would highly recommend you pick up a copy of that and think through that. But let’s listen in a little bit of what Dave has to say today. [Clip 4 Begins]Dave Miller — Well, we would say there’s seven ingredients. There’s a chapter in the book, seven ingredients. You can get it on our website right now.Dave Miller — Seven ingredients of what we would say is leadership development. So what you’re talking about, really, a sermon is training, if you think about it, like in a, in a market sense, I’m going to talk at you for 35 minutes. There’s four points. It’s very good. It’s inspired. It’s like Ted, Ted, long Ted Talk every 52 times a year, plus Christmas Eve and whatever.Dave Miller — And I would just say, we call that training. Churches for a long time have done really, really well with training, right? It’s either it’s the sermon or it’s Sunday school. It’s even the AI delivered small group questions I get from my men’s group, right? Dave Miller — It is staff. When I say, do y’all do leadership development? Yeah. Tell me about that.Dave Miller — And they start talking about your book or Carey's book or Craig Groeschel's book. It’s a book of the month. It’s conversation. Even now, now we’ve taken training and we’re still delivering the content, but we’re discussing it and we’re filling in blanks. Right. And we do that. Dave Miller — And, or spiritual formation. I had a well-known keynote kind of person. We just need to disciple these kids and get out of their way. And I was like, Oh, neat. Actually we don’t. Dave Miller — We did that once. It’s called the Jesus movement. I think that was the Jesus movement or the Jesus people in the early seventies, which kind of mirrors what’s going on on college campuses, you think. Dave Miller — We don’t need to just disciple them and get… We got to go with them. So, so training, spiritual formation, soft skills, which is the pain point of all the bosses, the emotional lack of intelligence of things. Those would be the three core ones.Dave Miller — And then we have to provide best practices. We have to, we have to provide ownership, which is a big thing for us in our small business, small church world at the 12 month mark. When we’re saying, well, she just doesn’t get it. She didn’t get, Oh, what doesn’t she get? Dave Miller — He just doesn’t understand what… We talk about our downline people as if they’re executive leaders with 20 years of experience. It would be totally fine for someone to accuse me of something like that.Dave Miller — But like when we think of sports, we don’t talk about individual players. We talk about the coaches. When the team’s losing, whose fault is it? As a lifetime Cincinnati Reds fan we change the manager. We don’t talk about number 78 and 14. Dave Miller — When the team’s doing amazing, it’s about the player.He’s killing it. She’s killing it. He’s killing it. When the team is losing, we have to own it similarly.Dave Miller — This is on us. Rich Birch — Wow. Wow. Dave Miller — Mental wellness. One of the seven things, mental wellness. If you can’t prove to me that you know, I’m not, I’m not here giving you even a theological construct. Cause we work with all sorts of churches that believe all sorts of things, right? But mental health, if you can’t prove to me that you have a plan, at least, or you’ve thought about it, that’s gonna be a problem. We’re checking it on. Dave Miller — And then finally developmental conversations. This is not delivered only through training to your point. [Clip 4 Ends]Rich Birch — What a fantastic group of conversations. Just a thin slice of so many of the conversations we’ve had over the last year in this whole area. Rich Birch — Tim, he named the model that can keep your and my bench empty. Spence gave us the mindset shift and the shoulder tap. Chris gave us the simplest form of the really first move that costs you absolutely nothing. And Dave finally gave you the formal structure that produces people you could hire, put on your team long-term.Rich Birch — Listen, you do not need to start at the top. Most churches never start at all because they only think the real option is just going out and hiring people externally. Listen, really the question I want to leave you with is where Tim started us at the beginning.Rich Birch — Maybe dear listener, you are listening in today and you have the hero mindset. Maybe you need to start with you and figure out what you can do in your area to pass it all along. Listen, we’ve got links for all these four episodes in the show notes here at unSeminary.Rich Birch — We’re on a mission to help 100 churches grow by a thousand people. We do that through these free podcasts, courses, coaching, cohorts. We do a lot to try to get in your corner.Rich Birch — We’ve got so much coming up this fall. Stay tuned. Some great stuff coming your way to see your church be more effective.Rich Birch — Thanks so much, friends. Take care.

How do you stop employees from constantly relying on you for the answers and start building a team of independent problem solvers? The secret is adopting a mentor mindset and treating leadership as coaching instead of answer-giving. In this episode of Boss Better Now, Joe Mull concludes a special four-part series adapted from his live workshops on accountability in leadership. He reveals the hidden cost of giving employees the answers and the exact coaching questions to ask instead, so you build critical thinking skills and stop creating employee dependency. Too many managers prioritize speed and end up doing the thinking for their team. Joe shares the coaching tips and scripts that reverse this, including one question that shifts how employees think, owns problems, and activates their capability. He also breaks down a simple, science-backed way to give feedback to employees that makes them dramatically more receptive to constructive criticism, using high standards paired with a statement of belief in their potential. What to Expect in This Episode: The Conclusion of the Accountability Tightrope: Two mentor mindset techniques you can use today. Why Giving Answers Creates Employee Dependency: How constantly solving problems robs your team of the chance to feel capable. The Ultimate Leadership Coaching Question: Why asking "What options do you see?" shifts the brain and activates ownership. The Real Definition of Workplace Coaching: Helping people sort through what they already know instead of telling them the right way to do it. The 19-Word Feedback Script: A science-backed technique that makes employees more receptive to constructive criticism. Applying Wise Feedback at Work: Real stories of leaders pairing high standards with belief statements to fix performance issues without defensiveness.Tune in to master the mentor mindset, get your time back, and build a team that thrives on ownership. If you want to become a better leader, this episode gives you the exact scripts to start with. To subscribe to Joe Mull's BossBetter Email newsletter, visit https://BossBetterNow.com For more info on working with Joe Mull, visit https://joemull.com For more info on Boss Hero School, visit https://bossheroschool.com To email the podcast, use bossbetternow@gmail.com #leadership #management #toxicworkculture #teambuilding #workplaceculture #conflictmanagement #employeeengagement #motivation Joe Mull is on a mission to help leaders and business owners create the conditions where commitment takes root and the entire workplace thrives. A dynamic and deeply relatable speaker, Joe combines compelling research, magnetic storytelling, and practical strategies to show exactly how to cultivate loyalty, ignite effort, and build people-first workplaces where both performance and morale flourish. His message is clear: when commitment is activated, engagement rises, teams gel, retention improves, and business outcomes soar. Joe is the founder of Boss Hero School™ and the creator of the acclaimed Employalty™ framework, a roadmap for creating thriving workplaces in a new era of work. He's the author of three books, including Employalty, named a top business book of the year by Publisher's Weekly, and his popular podcast, Boss Better Now, ranks in the top 1% of management shows globally. A former head of learning and development at one of the largest healthcare systems in the U.S., Joe has spent nearly two decades equipping leaders—from Fortune 500 companies like State Farm, Siemens, and Choice Hotels to hospitals, agencies, and small firms—with the tools to lead better, inspire commitment, and build more humane workplace cultures. His insights have been featured in The Wall Street Journal, Forbes, Harvard Business Review, and more. In 2025, Joe was inducted into the Professional Speakers Hall of Fame (CPAE). This is the speaking profession's highest honor, a distinction granted to less than 1% of professional speakers worldwide. It's awarded to speakers who demonstrate exceptional talent, integrity, and influence in the speaking profession. For more information visit joemull.com. Timestamps 0:00 Don't Give the Answer 1:44 Part Four of the Accountability Tightrope 2:09 The First Technique: Coaching 2:57 A Clip from Boss Hero School 4:20 What to Do When an Employee Asks for the Answer 6:53 The True Definition of Coaching 9:12 A Real-World Coaching Success Story 10:20 The Second Technique: Supercharging Feedback 10:36 The Middle School Feedback Experiment 12:54 What is Wise Feedback? 13:20 Adam Grant and Jennifer Garner on Wise Feedback 14:52 How to Apply Wise Feedback at Work 17:12 The One Caveat for Wise Feedback

You can earn your own money, pay the bills and have access to the joint account - and still be economically abused.  Economic abuse is about far more than stopping someone from accessing money. It can involve restriction, exploitation and sabotage - and it can be so deeply woven into coercive control that victims may not recognise what is happening to them.  Laura is joined by Dr Nicola Sharp-Jeffs OBE, CF internationally recognised expert on economic abuse, author and founder of Surviving Economic Abuse, for a deeper examination of how perpetrators weaponise money and economic resources to establish and maintain power and control.  Nicola shares findings from her pioneering research, which found economic abuse in 89% of the domestic abuse cases studied, and explains how perpetrators restrict resources, exploit a partner's income and credit, generate debt, sabotage employment and manipulate household finances.   Laura and Nicola discuss new trends they are seeing and challenge the assumption that having a job, earning your own money or managing a joint bank account means you have financial independence. They discuss survivors who believed they controlled the household finances, only to later recognise that their partner was concealing income, exploiting their earnings or manipulating debt behind the scenes.   They also explore why economic abuse can continue - and sometimes intensify - long after separation, through property, debt, child-related costs and repeated use of the family and civil courts.   Laura and Dr Nicola Sharp-Jeffs also recently had a deeply insightful discussion in the Crime Analyst Squad unpacking the hidden patterns and devastating impact of economic abuse, financial control and coercive control. You can listen here.   In this episode Laura and Nicola discuss:  The difference between restriction, exploitation and sabotage.   The subtle behaviours that can signal economic abuse.   How perpetrators undermine a woman's confidence in managing money.   Why earning money doesn't necessarily mean having control over it.   Hidden accounts, coerced debt and financial exploitation.   How pregnancy, motherhood and leaving the workforce can create economic vulnerability.   The intersection between economic abuse and other forms of coercive control.   How perpetrators adapt their tactics when women are financially independent.   Post-separation economic abuse and the use of property, children and the courts to maintain control.   Why economic abuse can become a major barrier to leaving — and a reason victims return.   The work being done with banks and creditors to recognise coerced debt and, in some cases, have it written off.   Why protecting access to and control over your own economic resources matters before, during and after a relationship.   Money is not simply money in an abusive relationship. It can mean independence, choice, safety and the ability to leave.   #DrNicolaSharpJeffs #EconomicAbuse #FinancialAbuse #CoerciveControl #DomesticAbuse #DomesticViolence #PowerAndControl #FinancialControl #EconomicJustice #CrimeAnalyst #LauraRichards #BehaviouralAnalysis #TrueCrime #TrueCrimePodcast #Podcast  More from Dr Nicola Sharp-Jeffs OBE: Website: All things economic abuse  Book: Understanding and Responding to Economic Abuse (Feminist Developments in Violence and Abuse) : Sharp-Jeffs, Nicola: Amazon.co.uk: Books  Podcast: Economic Justice Monitor | Podcast on Spotify  LinkedIn: Dr Nicola Sharp-Jeffs OBE, CF | LinkedIn  Instagram: @nicolajanesharpallthingsea     Clip       https://youtu.be/HtL0w8rZbzc?is=Gv18-hvRpJA64baj    Support Crime Analyst     If you value these conversations, please follow, rate, and review Crime Analyst wherever you listen to podcasts. Sharing episodes helps us educate more people about coercive control, stalking, domestic abuse and homicide prevention.     For exclusive episodes, live events and behind-the-scenes content, join the Crime Analyst Squad on Patreon.     Laura's Resources and Training information:    www.dashriskchecklist.com    www.thelaurarichards.com        Crime Analyst YouTube, Socials and Website        YouTube @crimeanalyst         Facebook Crime Analyst Podcast        Instagram @crimeanalyst @laurarichards999        Threads @crimeanalyst        X @thecrimeanalyst @laurarichards999         TikTok @crimeanalystpod        Website www.crime-analyst.com         Leave a 5* Review https://www.crime-analyst.com/reviews/new/  Learn more about your ad choices. Visit podcastchoices.com/adchoices

Imagine waiting 530 days waiting for the trial of the man who groomed, controlled, strangled and assaulted you only to walk into court on day one and be told there would be no trial. Behind closed doors a plea deal was negotiated dramatically altering the outcome of the case, resulting in Robert Hastings walking free – no prison time.  Strangulation and coercive control are high risk behaviours correlating significantly with serious harm and femicide – yet far too often abusers are rarely charged. This case was rare because it did and yet there was still no justice.  Listen as Laura and Paris explore Paris's own experience, including how her children were targeted, how perpetrators exploit systems to maintain power and control long after a relationship has ended, and why recognising these behaviours is critical to preventing serious harm and homicide.  Paris also shares how surviving abuse has transformed her into an advocate for change through Paris's Law, her campaign to reform the criminal justice system so that victims are no longer re-traumatised by late guilty pleas in domestic abuse cases.  In this episode Laura and Paris discuss:  Why non-fatal strangulation is one of the strongest predictors of femicide;   The 530-day wait for trial and the impact of late guilty pleas on victims;   Image management and how perpetrators present themselves to others;   Grooming, manipulation and behavioural patterns used to establish power and control;  Stalking and post-separation abuse as continuing patterns of coercive control;  Why high-risk behaviours must never be viewed in isolation;  The emotional toll of navigating the criminal justice system;   Paris's Law and why legislative reform is urgently needed.   More from Paris Shears   Paris's Event   Paris's Law Campaign  https://www.parislaw.co.uk    Parliament Petition  https://petition.parliament.uk/petitions/764553   #ParisShears #ParissLaw #CoerciveControl #DomesticAbuse #DomesticViolence #NonFatalStrangulation #BehaviouralAnalysis #Victimology #CrimeAnalyst #LauraRichards #ViolenceAgainstWomen #MaleViolence #HomicidePrevention #TrueCrime #Podcast     Clip    https://youtu.be/nSzElsRv538?si=9fG8nozG2c--qmiy     Thank You to the Crime Analyst Sponsor Who Make the Show Possible. Support The Show Through the Sponsors:      Support Crime Analyst    If you value these conversations, please follow, rate, and review Crime Analyst wherever you listen to podcasts. Sharing episodes helps us educate more people about coercive control, stalking, domestic abuse and homicide prevention.    For exclusive episodes, live events and behind-the-scenes content, join the Crime Analyst Squad on Patreon.    Laura's Resources and Training information:   www.dashriskchecklist.com    www.thelaurarichards.com       Crime Analyst YouTube, Socials and Website       YouTube @crimeanalyst        Facebook Crime Analyst Podcast       Instagram @crimeanalyst @laurarichards999       Threads @crimeanalyst       X @thecrimeanalyst @laurarichards999        TikTok @crimeanalystpod       Website www.crime-analyst.com        Leave a 5* Review https://www.crime-analyst.com/reviews/new/  Learn more about your ad choices. Visit podcastchoices.com/adchoices

Dr. Feldman on THE OSTRICH EFFECT [Dr. Feldman's Book]Home phototherapy rocks! - with Dr. Kristina Duffin! [article]Clip show: Episodes 181-190! [episodes]Want to expand your dermatology knowledge? Check out Summit Derm here!⁠https://medicine.utah.edu/dermatology/education/cme-opportunities/summit⁠Learn more about the U of U Dermatology ECHO model! ⁠physicians.utah.edu/echo/dermatology-primarycare⁠ Want to donate to the cause? Do so here!Donate to the podcast: ⁠⁠uofuhealth.org/dermasphere⁠⁠Check out our video content on YouTube:⁠⁠www.youtube.com/@dermaspherepodcast⁠⁠and VuMedi!: ⁠⁠www.vumedi.com/channel/dermasphere/⁠⁠The University of Utah's DermatologyECHO: ⁠⁠⁠physicians.utah.edu/echo/dermatology-primarycare⁠⁠ Connect with us!- Web: ⁠⁠⁠dermaspherepodcast.com/⁠⁠⁠ - Twitter: @⁠DermaspherePC⁠- Instagram: dermaspherepodcast- Facebook: ⁠⁠www.facebook.com/DermaspherePodcast/⁠⁠- Check out Luke and Michelle's other podcast,SkinCast! ⁠⁠⁠healthcare.utah.edu/dermatology/skincast/⁠⁠⁠ Luke and Michelle report no significant conflicts of interest… BUT check out our friends at:- ⁠Kikoxp.com ⁠(a social platform for doctors to share knowledge)- ⁠⁠⁠www.levelex.com/games/top-derm⁠⁠⁠ (A free dermatology game to learn more dermatology!

De la musique tirée de la voûte anglophone de CISM.

Les meilleures tounes franco alternatives enchaînées pour bien démarrer la journée !

Symbiose, l'émission des musiques expérimentales

La Croche Oreille explore l'univers insoupçonné de l'art sonore avec l'appui de CKRL qui est fière d'offrir à son auditoire l'occasion de découvrir la démarche de créateurs qui exploitent le son comme matière première de leurs œuvres. Au menu chaque dimanche, présentation d'œuvres sonores du Québec et de l'étranger, entrevues avec des artistes et des artisans professionnels, émissions thématiques et présentations d'œuvres sonores expérimentales : musiques inclassables, field recording, documentaires audio, explorations radiophoniques, dispositifs, environnements scéniques et marches sonores... Réalisée et animée par Gaëtan Gosselin, l'émission cherche à faire connaître la trajectoire et les œuvres d'artistes passionnés par la création sonore sous toutes ses formes. Courriel: crocheoreille@gmail.com

Mon but dans cette émission est de faire découvrir des artistes que l'on dit « émergents » et des nouveaux albums. J'aime beaucoup aussi parler des collaborations entre les artistes (musiciens, auteur, choriste, réalisation etc). Bien évidemment, je ne néglige pas non plus les artistes établis et leur nouveau matériel. Je demeure principalement ancré dans l'actuel et majoritairement du côté de la francophonie. Suzanne Castonguay

Les Matins éphémères, c'est une émission à caractère poétique, artistique, ludique, politique, écologique, mais pas trop économique. Elle se veut un reflet de la communauté et des gens qui l'habite, une place publique où différentes voix peuvent se faire entendre. Entrevues, chroniques, billets d'humeur, musique… Tout pour bien éclairer sa journée, et faire des découvertes intéressantes. En semaine, de 7h00 à 9h00, animé par Caroline Stephenson.

Du jazz tout azimut en compagnie d'une série d'animateurs aux univers variés mais parallèles. Du lundi au vendredi, Denys Lelièvre, Gilles Chaumel, Jacques Bégin, Hubert Tremblay et Paul Trépanier se succèdent pour le pur plaisir de vos oreilles, de 12h à 14h. Pour avoir accès à la liste des chansons diffusées lors de Midi jazz, consultez le blogue de l'émission: midijazz.wordpress.com et abonnez-vous à la page Facebook.

Rock médium, 2 heures de rock des années 70 à aujourd'hui en passant par le blues, le prog et le métal. De la bonne musique et beaucoup de fun grâce à des invités tous plus originaux les uns que les autres. Une émission déjantée avec un animateur qui ne se prend pas au sérieux. Nouvelles insolites, chroniques variées et invités de toutes sortes au menu.

À chaque semaine, David Rocketship et ses collaborateurs en rotation t'invitent à faire un tour du monde à vitesse lumière afin d'explorer les scènes musicales underground de partout sur la planète! Cap sur les artistes Garage, Surf, Punk et Rock'n'Roll les plus divertissants de l'univers!

In this episode Andrea Samadi explores Phase 3 of the Brain's Operating System—movement, learning, and cognition—focusing on the recovery and adaptation side of the "movement loop." She revisits Dr. Kristen Holmes' insights on measuring strain, sleep, and recovery to show how movement provides the stimulus while recovery enables lasting adaptation and greater capacity. The episode offers practical steps: identify your stimulus, track recovery, find your weakest link, and use feedback to train smarter—not just harder—so measurement becomes a tool for meaningful change. IN EPISODE 405, WE WILL COVER: ✔ Why recovery is not the absence of work—it is where adaptation occurs → How recovery allows the brain and body to absorb stress and build greater capacity. ✔ Where Dr. Kristen Holmes fits into the Movement Loop → Movement creates the stimulus; recovery determines how effectively we adapt. ✔ Why measuring your data matters → What gets measured can be adjusted, repeated, and improved. ✔ How to identify your personal recovery patterns → Using sleep, HRV, resting heart rate, strain, stress, and daily behaviors to uncover what helps—or limits—your performance. ✔ Why your recovery formula is uniquely yours → The habits that improve one person's readiness may not produce the same results for someone else. ✔ How recovery helps create more predictable performance → When you understand your patterns, you can make better daily decisions instead of leaving your results to chance. ✔ How repeated behaviors become adaptation → Measure → Adjust → Repeat → Recover → Adapt → Build Capacity. ✔ Where the larger journey is taking us → A preview of The Journey of the Mind Workbook and its five-step process: Understand → Reflect → Apply → Measure → Become ✔ What comes next in the Movement Loop → A Bonus Episode applying recovery science to real-world data, followed by Dr. John Medina on how an activated brain turns experience into attention, learning, and lasting change. EP 405 — From Recovery to Adaptation: Revisiting Dr. Kristen Holmes in Phase 3 WELCOME BACK Welcome back to the Neuroscience Meets Social and Emotional Learning Podcast, where we bridge neuroscience, social and emotional learning, and human performance so we can create measurable improvements in our well-being, achievement, leadership, productivity, and results. I'm Andrea Samadi, and if you've been following along through Season 16, you'll know that we've been building what I call The Brain's Operating System for Human Performance—a neuroscience-based framework designed to help us understand how the different systems of the brain and body work together to influence how we learn, adapt, connect, lead, and perform. Our roadmap has five phases: Phase 1 — Regulation & Safety Where we built the foundation by asking: Is the nervous system regulated enough to learn and grow? Phase 2 — Neurochemistry & Motivation Where we explored the systems that drive us to act, persist, and pursue meaningful goals. And now, we are here—Phase 3: Movement, Learning & Cognition. This is where movement becomes the catalyst for learning, adaptation, and performance. The central idea of Phase 3 is that the brain does not change through information alone. It changes through experience. Through movement. Through challenge. Through recovery. And through the repeated process of adapting to what we ask our brain and body to do. I called the framework we are building in this phase: The Movement Loop: Movement (the stimulus) → Brain Activation (the brain responds) → Attention (the brain becomes engaged and ready to learn) → Learning (new information and experience begin changing neural pathways) → Recovery (the brain consolidates and restores) → Adaptation (the brain and body adjust to the repeated challenge) → Performance (the adaptation shows up in what we can do) → Greater Capacity (we become capable of more) Movement is the stimulus. Brain activation is the response. Attention opens the door to learning. Learning creates change. Recovery helps that change stick. Adaptation builds the system. Performance reveals the result. Greater capacity is what we gain. And then we repeat the cycle. In our last episode, EP 404, we revisited the groundbreaking work of Dr. John Ratey, who helped us understand the front end of this loop. Dr. Ratey showed us that: Movement changes the brain. Exercise activates the brain. It supports attention. It prepares us for learning. And it creates the biological conditions that allow the brain to change. But that leaves us with an important question. What happens after we create the stimulus? Because movement alone isn't enough. Training alone isn't enough. And more strain does not automatically equal more improvement. At some point, the brain and body have to recover from what we've asked them to do And that's where today's episode begins with the back end of the movement loop. WHERE THIS JOURNEY IS GOING Before we move into today's episode, I want to zoom out for a moment and share where I believe this entire journey is taking us. Because as we've been building The Brain's Operating System for Human Performance—making sense of the interviews we've gathered over the past seven years and organizing them into five phases we can all understand and apply—I realized we are doing something much bigger than simply reviewing past episodes. I had to stop for a moment and look at what we've built so far. And that's when something became clear: We are mapping a journey. We aren't finished yet—we are only in Phase 3—but as we continue into Phases 4 and 5, I think you'll begin to see the bigger picture. This is about more than learning how the brain works or connecting social and emotional learning skills to our daily lives. It's about asking: What will we actually do with everything we've learned once we've traveled through all five phases? That's what led me to what I'm calling The Journey of the Mind. We could just as easily call it The Journey of the Brain because we now understand how deeply connected the mind and brain are.[i] But for me, Journey of the Mind has a much older meaning. That phrase takes me all the way back to the late 1990s, when I had the opportunity to watch an unpublished video program with that title, created by my mentor, Bob Proctor. I had no idea where that experience would lead me. But it planted a seed. It encouraged me to stop looking outside of myself for every answer... and to begin looking inward. To become curious about my thoughts. My beliefs. My habits. My potential. And ultimately, the relationship between what happens inside of us and the results we create outside of us. That idea influenced my early writing and eventually became part of the path that led me here. And now, all these years later, I can see that the podcast has evolved into its own Journey of the Mind. Only now, we have neuroscience to help us understand what is happening along the way. We have hundreds of experts. Years of research. Stories. Experiments. Data. And our own lived experience. The five phases give us a way to bring all of that together. We began with Regulation and Safety, because before we can grow, the nervous system needs a stable foundation. Then we moved into Neurochemistry and Motivation, where we explored what drives our behavior. Now, in Phase 3, we are looking at Movement, Learning and Cognition—how experience changes the brain and how recovery and adaptation help us build greater capacity. Next, we'll move into Connection, Emotion and Social Intelligence, because none of us develops in isolation. And finally, we'll reach Integration, Meaning and Human Performance, where these systems begin to come together. And when we reach the end of Phase 5, I want to bring the entire journey into something practical. THE JOURNEY OF THE MIND WORKBOOK I'm currently developing a companion workbook for these five phases. The Journey of the Mind Workbook will help us take what we've learned and apply it to our own lives through a simple process: Understand. Reflect. Apply. Measure. Become. Understand the science. Reflect on our own patterns. Apply what we are learning. Measure what changes. And then ask the bigger question: Who are we becoming? Because the goal isn't simply to know more about neuroscience. It's to use what we know. To identify our gaps. Recognize what is working. Build a clearer understanding of how we learn, recover, connect, perform, and grow. And become more intentional about the future we are creating. The workbook is still taking shape, but it's coming. And my hope is that when we reach the end of these five phases, we won't just have more information. We'll have a map. A clearer understanding of our brain. A deeper understanding of ourselves. A way to measure our growth. And a framework for becoming who we are capable of being. Now, let's return to where we are today... Phase 3: Movement, Learning and Cognition. Before we go further, I want to give you a quick roadmap for today's episode. We're going to explore Kristen Holmes' work through 15 short parts, each one helping us move step-by-step through the recovery and adaptation side of the Movement Loop. (The left side of the loop). We'll begin by clarifying the difference between readiness and adaptation. Then we'll look at the stimulus–recovery–adaptation cycle, revisit Kristen's original idea that what gets measured gets improved, and connect that to what I've learned from tracking my own data over the past five years. From there, we'll explore the difference between training harder and training smarter, why movement is information, why the goal is not maximum strain, and how these same principles apply to learning and performance far beyond exercise. We'll also return to one of my favorite ideas from Kristen's original interview: Your competitive advantage is often built in your downtime. And finally, we'll bring everything back to the Movement Loop and ask the question that really matters: Is what I'm doing building more strain—or building greater capacity? So think of these 10 parts as a guided walk through the second half of the loop... from recovery... to adaptation... to performance... and ultimately to greater capacity. PART 1 — WHY ARE WE RETURNING TO DR. KRISTEN HOLMES? When we first interviewed Dr. Kristen Holmes in 2021 for EP 134[ii], she was Vice President of Performance Science at WHOOP. At the time, I had recently turned 50. I purchased WHOOP because I wanted to improve what I knew was my weakest link: sleep. And in that original conversation, Dr. Holmes introduced ideas that I've now carried with me for more than five years. One of them was this: “What gets measured gets improved.” Another was the idea that what we do in our downtime may actually give us our greatest competitive advantage. At the time, I understood this at one level. Sleep matters. Recovery matters. Strain matters. Your habits outside of the workout matter. But after five years of looking at my own data, I understand her message differently. And I think this is one of the most important things about revisiting experts over time. We hear something at one stage of our development... and then years later, we hear the same idea again with an entirely different level of understanding. We revisited this same 2021 interview earlier in this season during Phase 1: Regulation & Safety on EP 390.[iii] So why are we covering this topic again? Because I realized that Dr. Holmes' work sits at a critical intersection inside our Brain's Operating System. In Phase 1, her work helped us understand regulation and readiness. Her message was: Can your system handle what you are asking it to do today? But in Phase 3, the question changes. Now we're asking: Is what I'm doing today actually helping my system adapt? That's very different. In Phase 1, recovery helped us understand whether the system was ready. In Phase 3, recovery helps us understand whether the system is changing. And that's why we're returning to Dr. Kristen Holmes. Not to repeat what we learned. But to take it one level deeper. Just a note here: while I've been using WHOOP to measure my movement, sleep, strain, and recovery, WHOOP is only one tool. There are many other ways to track these patterns—from other wearable devices and apps to simple measures like sleep duration, resting heart rate, exercise intensity, energy levels, and how recovered you feel. The important point isn't the device you use. It's learning to pay attention to your own patterns and using that feedback to make better decisions. PART 2 — READINESS VS. ADAPTATION Now let's return to the Movement Loop we opened this episode with: Movement → Brain Activation → Attention → Learning → Recovery → Adaptation → Performance → Greater Capacity In our last episode, Dr. John Ratey helped us understand the front end of this loop—how movement activates the brain, supports attention, and creates the conditions for learning. Today, Dr. Kristen Holmes helps us move into the recovery and adaptation side of the loop—what happens after we create the stimulus. This is where we ask a different kind of question. In Phase 1, we looked at Kristen's work through the lens of readiness: What is my capacity today? How much strain can I tolerate? How well did I sleep? What does my HRV tell me? How recovered am I? Do I have the capacity to push? Or would backing off today serve me better? That was the Phase 1 question: Am I ready? But now, in Phase 3, we move one step further around the loop. Now we are asking: Am I adapting? Is the movement I'm doing helping me become stronger? More resilient? More efficient? Better able to recover? More capable than I was before? That is the shift from readiness to adaptation. And this is where Dr. Kristen Holmes' work becomes essential to Phase 3. Because movement may provide the stimulus... but recovery is what gives the brain and body the opportunity to respond to that stimulus, adapt, and ultimately build greater capacity. Or would backing off today serve me better? That was our Phase 1 lens. And it was foundational. Because if the nervous system is depleted, overstressed, or under-recovered, everything downstream is affected. But Phase 3 takes us another step forward. Now we are not only asking: Am I ready? We are asking: Am I adapting? ADAPTATION asks: What is changing because of what I repeatedly do? Am I becoming stronger? More resilient? More efficient? Better able to tolerate stress? Better able to recover? More capable than I was before? And this is where I think recovery is frequently misunderstood. Recovery isn't simply what happens when we stop working. Recovery is not the opposite of performance. Recovery is part of the process that creates future performance. That distinction changes everything. Because the goal is not simply to recover enough to get through today. The goal is to recover in a way that allows the brain and body to become better prepared for tomorrow. So I want to give you one sentence to keep in mind throughout this entire episode: Movement provides the stimulus. Recovery allows the adaptation. That's where Kristen Holmes' work enters Phase 3. Dr. Ratey helped us understand why movement activates the brain and creates the stimulus for change. Dr. Holmes helps us to understand what has to happen afterward if that stimulus is going to become something useful. Something the body can integrate. Something the brain can learn from. Something that eventually becomes greater capacity. PART 3 — THE STIMULUS–RECOVERY–ADAPTATION CYCLE Think about exercise for a moment. When you challenge your body, you create stress. That's not necessarily a bad thing. In fact, some level of challenge is exactly what we need. It's called hormesis, right? The challenge is the signal. It tells the system: Something is being asked of me. But the signal alone isn't what we are looking for. What matters is what your body does afterward. You place a demand on the system. Then the body needs time and resources to respond to that demand. We can think of it very simply: STIMULUS → RECOVERY → ADAPTATION → GREATER CAPACITY The stimulus is the challenge. Recovery is the response period. Adaptation is the change. And greater capacity is the result. The purpose of training isn't simply to create more strain. (Which is what I did for years). The purpose is to create a strain that your system can successfully recover from and adapt to. And that idea changed the way I began looking at my own movement. For years, I thought: Harder must be better. Longer must be better. More must be better. If I could hike for three hours, that had to be better than walking for one. If I could push harder, I assumed I would get better results. If I felt exhausted after a workout, I often assumed that meant I had accomplished more. But the data started showing me something different. Sometimes more strain simply created... more strain. And if I wasn't sleeping enough...(because I was repeating the same thing without enough rest) if I wasn't recovering... if I was stacking high strain on top of stress... then I wasn't necessarily building greater capacity. I could actually be interrupting the very adaptation I was trying to create. This is why one of the most important questions in Phase 3 becomes: How much challenge can my system absorb, recover from, and adapt to? Not: How much can I force myself to do? And this takes us directly back to the lesson Kristen Holmes gave us five years ago. Because if we want to know whether the stimulus we're creating is actually working... we need feedback. We need to see the patterns. We need to understand the relationship between what we do and how our system responds. Which brings us to Part 4: PART 4 — WHAT GETS MEASURED GETS IMPROVED In our Phase 1 episode with Dr. Holmes, I shared something that has become very important to me over the past five years. Once you begin measuring your sleep, your recovery, your strain, and your habits... you stop guessing. And when you stop guessing, patterns begin to emerge. For me, some of those patterns took years to understand. I began seeing that: Too much strain + not enough sleep = poor recovery. Over and over again. I knew intuitively that I was pushing too hard. But knowing something and changing behavior are two very different things. The data eventually forced me to look at the pattern honestly. There were times when I was training hard... waking early... cutting sleep short... and then wondering why my recovery didn't improve. I was giving my system a stimulus. But I wasn't giving it enough opportunity to adapt. That distinction matters. Because the goal is not simply: How much can I do? The better question is: How much can I do, recover from, and adapt to? That is a completely different way of approaching human performance. PART 5 — MY UNDERSTANDING OF RECOVERY HAS CHANGED When I first bought WHOOP in 2021, my weakest link was sleep. I knew I needed to improve it. And I did. Not perfectly. But significantly. What I find interesting now is that as one weakness improves, another one becomes easier to see. That's the value of measurement. Your weakest link can change. In 2021, mine was sleep. Today, I can see other areas much more clearly. Strength training is one. Balancing different kinds of movement is another. And this is where I began looking beyond total exercise time. Instead, I started asking: How much time am I spending in lower intensity movement? How much time am I spending at higher intensity? What happens to my recovery when I increase strain? How much sleep do I need after harder training? How quickly do I recover? What habits seem to help me recover faster? What habits tank my recovery? That's a completely different mindset than: Did I work hard today? PART 6 — TRAIN HARDER VS. TRAIN SMARTER One of the biggest lessons I pulled from Kristen Holmes' work was the difference between training harder and training smarter. In our Phase 1 review, I shared one example that really challenged my assumptions. I went on a walk along the canal near my house. Nothing extreme. I was walking my dogs and wearing a weighted vest. And during this much more moderate activity, I was able to reach Zones 4 and 5 for short periods. That surprised me, because those higher-intensity zones could sometimes be difficult for me to reach even during much longer hikes. I noticed the same thing when I started comparing different trails here in Arizona. When I first moved to AZ, Camelback Mountain—especially the Echo Canyon Trail—was my go-to hike. I used to hike it after work and again on the weekends. It was short, steep, and intense—about a 2.5-mile round trip on Echo Canyon, with the Cholla side a bit longer. So when I later moved to another part of the Valley and started hiking Telegraph Pass at South Mountain, I initially thought: This isn't going to give me the same workout. Telegraph Pass felt less intense. It didn't have that same steep, all-out challenge I was used to on Camelback. But once I started measuring my hikes, or learning new trails that were longer, I saw something I didn't expect. The longer, lower-intensity hikes were sometimes producing more overall strain than the shorter, harder hikes. That honestly shocked me. Because I had always assumed that if something felt harder, it must be giving me better results. But the data showed me that wasn't always true. A longer period of sustained effort—even at a lower intensity—could place a greater total load on my system than a shorter burst of very difficult exercise. And that taught me something important: How hard something feels in the moment is not always the same thing as the total load it places on your body. That was one of the moments when measurement changed the way I thought about exercise. I stopped asking only: How hard did that feel? And started asking: How did my body actually respond? And this is where data becomes useful. Not because the number knows everything. But because the number can reveal something we might otherwise miss. It can become feedback. And feedback helps us learn. PART 7 — MOVEMENT IS INFORMATION Movement is not just calories burned. I hardly ever think about calories anymore. There was a time when I could tell you almost exactly how much effort it took to burn off certain foods. But I think about movement very differently today. Movement is not punishment for what we ate. Movement is not simply exercise. Movement is information. Every time we move, we send signals to the brain and body about the demands being placed on the system. How much strength do I need? How much endurance? How much balance, coordination, speed, or cardiovascular capacity? And when we repeatedly expose ourselves to manageable challenge, the system begins to learn from those signals. It responds. It adjusts. And, with adequate recovery, it adapts. So movement isn't just something we do to burn energy. Movement is one of the ways we teach the brain and body what we want them to become capable of doing.   PART 8 — THE GOAL IS NOT MAXIMUM STRAIN This brings me to what may be the biggest takeaway from today's episode. The goal is not maximum strain. The goal is the right amount of strain for your current capacity. Because too little challenge may not create enough stimulus. But too much challenge without adequate recovery can work against the very adaptation we're trying to create. And this is where Kristen Holmes' message about strain and recovery becomes so powerful. In Phase 1, we used recovery to ask: Should I push today? In Phase 3, we can use recovery to ask: Is my current training producing the adaptation I want? That is a much bigger question. And it applies far beyond exercise. PART 9 — THE SAME PRINCIPLE APPLIES TO LEARNING Think about learning. We don't learn best by forcing information into the brain endlessly without rest. We need exposure. Attention. Practice. Then space. Sleep. Recovery. Integration. And then we return to the material again. Spaced Repetition. The brain changes through repeated cycles of challenge and recovery. So while we're talking today about Kristen Holmes, recovery, movement, and strain... the same architecture appears in learning. It appears in work. It appears in leadership. It appears in stress management. It appears almost anywhere humans are trying to grow. Challenge alone doesn't guarantee growth. Challenge + recovery + repetition creates the conditions for adaptation. PART 10 — YOUR COMPETITIVE ADVANTAGE IS STILL BUILT IN YOUR DOWNTIME One of my favorite ideas from my original conversation with Kristen was something we revisited in Phase 1. Listen to Dr. Holmes' CLIP here. She talked about the importance of what we do in our downtime. That what happens outside of the performance itself may give us our competitive advantage. Five years later, I think I finally understand how deep that idea goes. Your workout may last an hour. Your hike may last two hours. Your presentation may last 45 minutes. Your game may last an afternoon. But adaptation is happening across the rest of the day. What are you doing with the other hours? Are you sleeping? Hydrating? Fueling? Managing stress? Allowing the nervous system to come back down? Giving the body what it needs to repair? That downtime isn't empty time. It's part of the training. PART 11 — RECOVERY IS AN ACTIVE PROCESS This is another mindset shift that helped me. I used to think of recovery as: Doing nothing. Resting. Taking a day off. But recovery can actually be very intentional. For me, over the past several years, that has included things like: prioritizing sleep hydration meditation breathing spending time outside lower-intensity movement infrared sauna red light therapy And again, the point isn't that everyone should copy my routine. The important question is: What actually helps your system recover? That takes us back to one of the central ideas of our recent Bonus Episodes. PART 12 — FIND YOUR GAP In Bonus Episode 2[iv], we introduced the idea of finding your gap. Instead of copying someone else's recipe for high performance, identify the variable that is currently limiting you. Maybe your gap is sleep. Maybe it's hydration. Maybe it's high stress. Maybe it's too much intensity. Maybe it's not enough movement. Maybe it's inconsistent recovery habits. Maybe it's strength. The point is that your gap is personal. And it can change. This is one of the most useful things measurement can give us. It can show us: Where is the breakdown in my loop? Let's return to the Movement Loop. Movement → Brain Activation → Attention → Learning → Recovery → Adaptation → Performance → Greater Capacity Where is your gap? Are you not moving enough? Are you moving but not recovering? Are you recovering but not challenging yourself enough to create adaptation? Are you pushing constantly without allowing your system to consolidate the gains? If you can locate your gap, you know where to begin. PART 13 — THE MOVEMENT LOOP THROUGH DR. KRISTEN HOLMES Let's walk through the entire loop now through the lens of Dr. Ratey and Dr. Holmes' work. MOVEMENT We create a stimulus. We challenge the brain and body. BRAIN ACTIVATION Movement changes our physiological and neurological state. This is where Dr. Ratey's work helps us understand why movement prepares the brain. ATTENTION An activated brain is better positioned to engage. LEARNING The brain receives information and experience. But learning isn't finished simply because we experienced something. RECOVERY Now the system needs space. This is where Kristen Holmes enters the loop. How well did we sleep? How much stress are we carrying? What was our total strain? How prepared is the system to absorb what we've done? ADAPTATION This is where the system changes. Over time, repeated cycles of challenge and recovery create new capacity. PERFORMANCE We begin to see the result. We move differently. Think differently. Learn more efficiently. Handle greater demands. Recover faster. GREATER CAPACITY And this is what makes the loop a loop. Because now tomorrow's starting point may be different from yesterday's. The system has adapted. So we can begin again. The WHOOP wearable device may have started with elite athletes, but optimizing performance isn't only for elite athletes. Any of us can measure our patterns, learn from the feedback, and use that information to build greater capacity. PART 14 — THIS CHANGES HOW I THINK ABOUT PERFORMANCE For most of my life, I thought performance was primarily about effort. Work harder. Try harder. Push harder. And effort still matters. But effort without adaptation can become a dead end. What I'm learning through this phase is that performance is much more dynamic. You need the stimulus. You need the challenge. You need the work. But you also need recovery. Because recovery is what allows the system to absorb the work. And that leads me to an important sentence I want us to remember: The goal isn't to prove how much stress you can tolerate. The goal is to become capable of more over time. That's adaptation. PART 15 — FIVE YEARS LATER, DR. HOLMES'  MESSAGE MEANS SOMETHING DIFFERENT When we first interviewed Kristen Holmes in 2021, the idea that what gets measured gets improved resonated with me immediately. That idea is partly why I bought a wearable device in the first place. I wanted data. I wanted answers. I wanted to improve sleep. But five years later, I think the lesson is bigger than measurement. Measurement itself isn't the goal. The goal is feedback. And feedback only becomes useful when we do something with it. Measure. Write it down somewhere. Observe what's happening month to month and year to year. Adjust. Recover. Adapt. Repeat. Measurement closes the learning/performance loop. That's why Dr. Holmes' work was worth revisiting here in Phase 3. Not simply because she studies recovery. But because measurement gives us information about whether the behaviors we repeat are actually creating the changes we want. PRACTICAL APPLICATION — HOW TO USE THIS THIS WEEK So let's make this practical. You do not need WHOOP. You do not need a wearable. You don't need complicated equipment. You simply need to start paying attention. Identify your current stimulus. What are you asking your body and brain to adapt to right now? Maybe it's: exercise strength training a new learning goal a demanding work schedule stress adapting to intensive heat in your new sauna Know what you're asking the system to do. Identify your recovery. Ask: How am I sleeping? How am I managing stress? Am I giving myself enough downtime? How do I feel the day after harder efforts? What patterns do I notice? Watch the relationship between effort and recovery. Does more effort always give you better results? Or is there a point where more becomes counterproductive? Find your gap. What is your weakest link right now? Don't try to fix everything. Start there. Look for evidence of adaptation. Ask yourself: Am I becoming more capable? Can I handle something today that used to be difficult? Am I recovering faster? Am I stronger? More focused? More resilient? If the answer is yes, your loop is working. REVIEW AND CONCLUSION To review and conclude this week's episode 405,  let's bring this episode together. We brought Dr. Kristen Holmes back into our roadmap intentionally. In Phase 1: Regulation and Safety, Dr. Holmes helped us understand recovery as readiness. Sleep. HRV. Strain. Stress. Recovery. The question was: Is the system prepared for today? Today, in Phase 3: Movement, Learning and Cognition, we've looked at those same ideas through a different lens. Now the question is: Is the system adapting for tomorrow? That's the progression. Dr. John Ratey helped us understand that movement provides the brain with a powerful stimulus. Kristen Holmes helps us understand that the story doesn't end with the stimulus. We need recovery. Because: Movement provides the stimulus. Recovery allows the adaptation. Adaptation improves performance. Performance builds greater capacity. And then the loop begins again. ONE QUESTION TO TAKE WITH YOU Before you move on with your day, I want you to ask yourself one question: Am I creating more strain…or am I creating more capacity? They are not the same thing. You can push harder without improving. You can work longer without adapting. You can accumulate strain without building capacity. The goal is not simply to do more. The goal is to create a system where you can become more. FINAL TAKEAWAY And this brings us right back to Kristen Holmes's message from 2021: What gets measured gets improved. But today, I would add something to it: What gets measured can be adjusted. What gets adjusted can be repeated (in this new way) And what gets repeated—paired with the right amount of recovery—can become adaptation. That is how capacity grows. And that is where Kristen Holmes fits into Phase 3—not simply as an expert on recovery, but as a critical part of the science of change. And this idea—turning what we measure into meaningful change—is also shaping the larger vision for this podcast. At the start of this episode, we mentioned I'm developing a companion workbook called Journey of the Mind—a practical guide designed to help us move beyond simply listening to these ideas and begin applying them in our own lives. The workbook will guide us through five steps to apply what we have covered on this podcast. Understand. Reflect. Apply. Measure. Become More. With each episode we've covered. And this workbook began with an unexpected spark of inspiration. So, I want to offer one quiet acknowledgment: To the person who quietly helped illuminate this path for me—thank you. Sometimes, the people who influence the direction of our lives may never fully realize what their presence helped awaken. My vision from that the spark of inspiration I received will travel through this work and reach you listening—inspiring you to move forward on your own path and create a life that is more intentional, meaningful, and fulfilling than the one you knew before. Because inspiration doesn't end with the person who first awakens it. It moves through us. And when we act on it, one spark can grow into something that serves many others—far beyond what either person could have created individually. We'll explore the transformative power of human connection more deeply in Phase 4. Then, in Phase 5, we'll examine how connection, meaning, and contribution can become something that continues growing beyond us. But until then, we'll continue building this journey—one insight, one application, and one measurable change at a time. COMING NEXT Before we move on to Dr. John Medina and the next part of the Movement Loop, we'll cover our next Bonus Episode and show you what adaptation can actually look like in real life. In Bonus EP 3, I'm going to take you inside one of the clearest changes I've seen in my own data over the past several years: my resting heart rate. We'll look at where it started, how it changed, what may have contributed to that change, and why resting heart rate can become a useful window into how the body is adapting over time. Because this is really what Phase 3 is about. Not simply moving more. Not simply collecting data. But asking: Is what I'm doing actually changing my capacity? Then, for EP 406 we'll return to the research of Dr. John Medina and explore the next critical link in the Movement Loop: Attention. Because movement can activate the brain—but activation alone doesn't guarantee learning. The brain must first notice what matters. It must direct its attention. Hold that attention long enough to encode new information. And return to that information if it is going to become something we can remember and use. Dr. Ratey helped us understand how movement prepares the brain. Dr. Kristen Holmes helped us understand how recovery allows the brain and body to adapt. And Dr. Medina will help us understand what happens between those two points: How does an activated brain turn experience into learning? Because movement may open the door— but attention determines what enters and stays behind that door. And we'll reinforce one of the central ideas of this journey: What we repeatedly do shapes who we become. The question is: Are those repeated actions expanding our capacity and moving us toward our highest level of performance—or quietly holding us back? That's where we'll turn next as we continue building the Movement Loop. I'll see you next time. EP 405 — KEY TAKEAWAYS ✔ Why Kristen Holmes belongs in both Phase 1 and Phase 3 ✔ The difference between recovery for readiness and recovery for adaptation ✔ Why movement alone does not create improvement ✔ The relationship between stimulus → recovery → adaptation → greater capacity ✔ Why the goal is not maximum strain, but the right dose of strain ✔ How recovery completes the Movement Loop ✔ Why your weakest link can change as you improve ✔ How measurement provides feedback for better decisions ✔ Why downtime is part of the performance process ✔ The difference between accumulating strain and building capacity THE MOVEMENT LOOP Movement → Brain Activation → Attention → Learning → Recovery → Adaptation → Performance → Greater Capacity → Repeat Remember: Movement provides the stimulus. Recovery allows the adaptation. The goal isn't maximum strain. The goal is greater capacity. RESOURCES: Watch the full interview from 2021 here https://www.youtube.com/watch?v=TOgivjYhhW8 CLIP 1 Dr. Kristen Holmes https://www.youtube.com/shorts/Lg7FiWJKZc4 Phase 1: Regulation & Safety The Foundation Core Question: Is the nervous system safe enough to learn? Everything begins with regulation. Before we can focus, learn, lead, or perform, the brain first asks one fundamental question: Am I safe? Throughout Phase 1, our guests showed us that regulation isn't simply about reducing stress—it's about creating the biological conditions that allow the brain to learn, adapt, and thrive. Together we explored: Baland Jalal – how sleep, curiosity, imagination, and creativity prepare the brain for learning. https://andreasamadi.podbean.com/e/hypnagogic-genius-capture-your-best-ideas-at-the-edge-of-sleep/ Dr. Bruce Perry – why regulation, rhythm, and relationships form the foundation of every healthy nervous system.  https://andreasamadi.podbean.com/e/safety-first-why-a-regulated-brain-is-the-key-to-learning/ Dr. Sui Wong – how lifestyle medicine and autonomic balance build lifelong brain resilience. https://andreasamadi.podbean.com/e/your-eyes-the-brain-s-early-warning-system/ Rohan Dixit – how heart rate variability gives us real-time feedback on our ability to regulate stress. https://andreasamadi.podbean.com/e/breathe-to-reset-how-hrv-tech-reveals-hidden-stress/ Dr. Kristen Holmes – how recovery metrics reveal our physiological readiness to perform. https://andreasamadi.podbean.com/e/kristen-holmes-from-whoopcom-on-unlocking-a-better-you-measuring-sleep-recovery-and-strain/ Dr. Antonio Zadra – how sleep and dreaming consolidate memories, regulate emotions, and generate insight. https://andreasamadi.podbean.com/e/when-brains-dream-how-sleep-integrates-emotion-insight-and-creativity/ Together these conversations taught us that sleep and stress regulation aren't optional—they're the operating system that allows every higher brain function to work. Phase 2: Motivation & Neurochemistry The Direction Core Question: What moves us into action? Once the brain feels safe, it becomes ready to pursue goals. In Phase 2, we explored the internal chemistry that transforms intention into action. Our experts helped us understand that sustainable motivation isn't about willpower—it's about aligning our beliefs, thoughts, attention, energy, and movement. Together we discovered: Bob Proctor — our beliefs determine the direction of our lives. https://andreasamadi.podbean.com/e/belief-first-the-neuroscience-of-motivation/ Dr. Carolyn Leaf — our thinking literally changes our brain chemistry. https://andreasamadi.podbean.com/e/thoughts-as-biology-how-your-mind-shapes-neurochemistry/ Dr. John Medina — attention determines what the brain encodes and remembers. https://andreasamadi.podbean.com/e/theory-of-mind-the-missing-link-between-attention-reward-and-motivation Dr. Anna Lembke- Dopamine, Motivation and Why the Brain Repeats Behavior https://andreasamadi.podbean.com/e/dopamine-nation-the-pleasure%e2%80%93pain-balance-that-drives-motivation/ Dr. Friederike Fabritius — managing our energy allows high performance to become sustainable. https://andreasamadi.podbean.com/e/fun-fear-focus-closing-the-motivation-loop/ Dr. Chuck Hillman & Paul Zientarski — movement activates the brain, preparing it to learn. https://andreasamadi.podbean.com/e/move-to-learn-how-movement-activates-the-brain-and-fuels-motivation/ By the end of Phase 2, we introduced what became The Motivation Loop, showing how beliefs influence thoughts, thoughts influence actions, actions create results, and results reinforce future beliefs. Phase 3: Movement, Learning & Human Performance The Transformation Core Question: How does movement change the brain—and how does recovery transform that change into performance? Now we're taking the next step. Phase 3 builds on everything we've learned so far. If Phase 1 created a regulated nervous system... If Phase 2 created motivation and direction... Phase 3 explains how the brain and body actually become stronger. Together we've explored this process through conversations with: Dr. Chuck Hillman & Paul Zientarski — why movement activates the brain before learning. https://andreasamadi.podbean.com/e/movement-first-how-a-20%e2%80%91minute-walk-lights-up-the-brain/ Dr. John Ratey — how exercise builds a healthier, younger brain. https://andreasamadi.podbean.com/e/movement-matters-how-every-move-rewires-the-brain/ Dr. Kristen Holmes — why recovery determines adaptation and readiness. Dr. John Medina — how attention transforms movement into lasting learning. Jason Whitrock — how metabolism and cellular energy fuel long-term performance. WHERE WE ARE GOING NEXT Phase 4 — Connection, Emotion & Social Intelligence The Human System Core Question: How do we thrive with other people? The brain didn't evolve in isolation—it evolved through relationships. In Phase 4, we'll explore emotional intelligence, empathy, communication, trust, leadership, and psychological safety to understand how our relationships shape learning, well-being, and performance. Phase 5 — Integration & Human Performance The Complete System Core Question: How do all the systems work together? In our final phase, we'll bring everything together—regulation, motivation, movement, emotion, relationships, learning, and recovery—into one integrated framework. We'll discover how these systems work together to create measurable improvements in our well-being, achievement, leadership, productivity, and results. REFERENCES: [i] A Neurologist Looks at Mind and Brain, published October 1, 2003, by Phirose Hansotia.   [ii] Neuroscience Meets Social and Emotional Learning Podcast EPISODE 134 with Dr. Kristen Holmes “Unlocking a Better You: Measuring Sleep, Recovery and Strain.”  https://andreasamadi.podbean.com/e/kristen-holmes-from-whoopcom-on-unlocking-a-better-you-measuring-sleep-recovery-and-strain/   [iii] Neuroscience Meets Social and Emotional Learning Podcast EPISODE 390 https://andreasamadi.podbean.com/e/what-gets-measured-gets-improved-sleep-recovery-peak-performance/   [iv]Neuroscience Meets Social and Emotional Learning Podcast BONUS EP 2 https://andreasamadi.podbean.com/e/find-the-gap-how-recovery-unlocks-predictable-performance                      

Rock, progressif et psychédélique des années 1960-1970 Stéphane Villeneuve autoroute891@hotmail.com Nostalgique des années 60 et 70, L'Autoroute est l'émission par excellence pour vous. En ondes depuis plus de 20 ans, elle se dédie à la musique rock, progressive et psychédélique de toutes les nationalités. L'Autoroute est diffusée de 23h à 3h, dans la nuit du samedi au dimanche et elle est animée pas Stéphane Villeneuve depuis 1995. Vos demandes spéciales et petits messages sont les bienvenus.

Émission consacrée au rock progressif d'aujourd'hui avec Michel Bilodeau et Marc Chaunet. Pour nous rejoindre/écrire un message par courriel: TerraIncognita_CKRL@hotmail.com . Pour consulter les contenus d'émissions: https://www.terraincognita.quebec/radio

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Kamille Parks demonstrates how to use the Model Context Protocol (MCP) to manage Airtable automations via Claude. She walks through updating an existing automation by adding placeholder email addresses to a notification step, showing how the AI can modify specific parameters while preserving existing context. The demo also covers management tasks like deleting an automation and using the "undo" feature to revert actions. By leveraging action IDs tracked through the MCP, the AI can effectively restore what was previously deleted. Finally, the segment explores creating new scheduled automations from scratch and exporting all base automations as JSON for auditing and configuration reviews. ⏱ In this cut: 01:58 — Updating an existing automation 06:52 — Deleting and undoing actions 08:36 — Creating new scheduled automations 16:11 — Exporting automations as JSON

Alli Alosa demonstrates how to use the 'Insert as JSON' feature in Airtable automations to reliably handle incoming data from external webhooks, such as Fillout. She explains why this method is more robust than traditional field mapping, especially when dealing with inconsistent data. The discussion covers a practical use case involving event feedback collection. By passing the entire payload as a JSON object, you can prevent automations from failing when certain form fields are left empty or missing from the payload. Finally, the team explores how to use this JSON data within a script action. Instead of manually mapping every individual field as an input, you can pass the entire object into a script, allowing for much more scalable and maintainable automation logic. ⏱ In this cut: 01:03 — Using feedback collection as a use case 12:38 — The benefits of using Insert as JSON 13:37 — Solving errors caused by empty field values 17:00 — Passing JSON data into a script action 25:09 — Conditional filters and advanced integrations

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A priest will often award forgiveness after a confession, repentance, and restitution.This is an important triple concept even outside of religion, and it is not discussed enough. The philosophy applies to individuals, groups, businesses, and even government authorities guarding the marketplace.Clip from:The Breakup BounceYou Can't Just Forgive Someone! | The Complexity of Forgiveness (Jordan Peterson)Follow Us:YouTubeXFacebookBlueskyAll audio & videos edited by: Jay Prescott Videography

SUBSCRIBE TO THE DAY AFTER ⬇️ https://youtube.com/@thedayaftertnb#news #currentaffairs #sports #blackbritain #live #music *TIMESTAMPS: TDA - E993*00:00 - TDA IS LIVE

Paris Shears never imagined that the man she fell in love with would groom, physically harm and control her. What began as a seemingly loving relationship became a pattern of coercive control, intimidation and violence that left her fearing for her life.  When Paris's former partner was charged with offences including intentional strangulation and assault, he initially pleaded not guilty. After more than a year with the trial looming over her head, Paris went to court for the first day of the trial, and there was a closed meeting where he changed his plea and took a deal. The consequences have been devastating for Paris which is why she  launched a petition calling for Paris's Law, and urgent reform so perpetrators cannot control victims once charged and benefit from changing their plea at the last minute in cases involving domestic abuse and coercive control.   In this episode Laura and Paris discuss:  Paris's relationship and the gradual progression of coercive control.   Grooming behaviours and how predators identify and exploit vulnerability.   The impact of people-pleasing, trauma and self-abandonment.   Red flags and behavioural patterns that should never be ignored.   Why coercive control is often misunderstood by family, friends and professionals.   The criminal charges brought against Paris's former partner and the outcome of the case.   The impact of late guilty pleas on victims and the justice process.   Paris's Law campaign and the reforms Paris hopes to achieve.   Why behavioural analysis and pattern recognition are critical to preventing violence against women and girls.   More from Paris Shears  Paris's Law Campaign https://www.parislaw.co.uk   Parliament Petition https://petition.parliament.uk/petitions/764553  #ParisShears #ParissLaw #CoerciveControl #DomesticAbuse #DomesticViolence #NonFatalStrangulation #BehaviouralAnalysis #Victimology #CrimeAnalyst #LauraRichards #ViolenceAgainstWomen #MaleViolence #HomicidePrevention #TrueCrime #Podcast   Clip   https://fb.watch/IOcYRotX2B/    Thank You to the Crime Analyst Sponsor Who Make the Show Possible. Support The Show Through the Sponsors:   Visit TAKELEAN.com and enter CRIMEANALYST for your discount.   Ready to reach your goals? Visit forhers.com/crime to get personalized, affordable care that gets you.  Support Crime Analyst   If you value these conversations, please follow, rate, and review Crime Analyst wherever you listen to podcasts. Sharing episodes helps us educate more people about coercive control, stalking, domestic abuse and homicide prevention.   For exclusive episodes, live events and behind-the-scenes content, join the Crime Analyst Squad on Patreon.   Laura's Resources and Training information:  www.dashriskchecklist.com    www.thelaurarichards.com      Crime Analyst YouTube, Socials and Website      YouTube @crimeanalyst       Facebook Crime Analyst Podcast      Instagram @crimeanalyst @laurarichards999      Threads @crimeanalyst      X @thecrimeanalyst @laurarichards999       TikTok @crimeanalystpod      Website www.crime-analyst.com       Leave a 5* Review https://www.crime-analyst.com/reviews/new/  Learn more about your ad choices. Visit podcastchoices.com/adchoices

SUBSCRIBE TO THE DAY AFTER ⬇️ https://youtube.com/@thedayaftertnb#news #currentaffairs #sports #blackbritain #live #music *TIMESTAMPS: TDA - E991*00:00 - TDA IS LIVE

0:00 - Intro04:00 - Windows 1109:10 - Myles Updates15:00 - AJ updates16:20 - VRGS38:43 - The Big Walk43:50 - Spiderman Movie46:45 - Zen Pinball52:00 - Sunday Multiplayer54:00 - System Critical 357:45 - Ironforged1:15:00 - Tips 1:47:40 - Clip of the week

Clip of the Week-"Do the First Things, First" Brother Patrick Collins Please listen to brother Patrick Collins bring the Word about the importance of having our priorities in the right order. Oftentimes we think we have our lives all planned out the way they should go, but unless that plan is what the Lord has set in place it will surely fail. The brother admonishes us to first seek the Kingdom of God, and then He will begin to work His will in our lives. Brother Andrew Norman

Willa and Eric are starting a band! Willa would like to be cast in the next Yellowstone spin off and Eric launches 'Spoilerman' plans. The lads warn off the trolls giving Irish model Sarah Morrissey heat online for her inner city accent. They're backing legendary actor Ed Harris to be allowed sing in the next season of Dutton Ranch and they are very open to him joining the band...Yellowstone Spoiler Alert for anyone who hasn't yet watched it so don't @ us! New episodes Mondays and Thursdays.'DM me hun' on Instagram (@houseoffunpod) | TikTok (@houseoffunpod) Voice notes very welcome.Email Eric and Willa at HouseOfFun@goloudnow.comContains strong language and adult humour.Clip credits: (Sarah Morrissey) - Newstalk's Lunchtime Live with Andrea Gilligan (Ed Harris) Variety Editor Marc Malkin via Instagram.

Deze week in de podcast: Ziggo wordt een overkoepelende kabelaanbieder voor heel de Benelux. We testen de CLIP die iedere fiets elektrisch moet maken, maar die heeft toch veel haken en ogen. En de Fitbit Air van Google lijkt nu echt de beste smart band voor iPhones. Daarnaast was je niet de enige waarvan WhatsApp ineens het account blokkeerde.Disney+ streamt weer 4K, maar HDR laat op zich wachten. En Google annuleert een app waar bijna een miljoen mensen op zitten te wachten. Sponsor: Misschien niet de eerste plek waar je kijkt als IT’er, maar wel één waar je je sneller thuis voelt dan je denkt. Ontdek waarom op rabobank.jobs/IT Tips uit deze aflevering: Serie: Ted Lasso is terug. Moet gezegd worden, want Floris en Erwin zijn fan. De serie leek al afgesloten, maar heeft toch weer een nieuw seizoen gekregen. Dit keer moet de Ted Lasso een vrouwenelftal vol karikaturen begeleiden, samen met een norse hulp-coach. We hebben de review live staan op Bright en elke week verschijnt er een nieuwe aflevering op Apple TV. App: Polycam is een app waarmee je 3D-scans maakt door fotogrammetrie en/of LiDAR. Het wordt veel gebruikt door 3D-kunstenaars, maar ik gebruik het om mijn huis vast te leggen zoals het nu is. Dat verandert over de jaren heen en in plaats van stilstaande foto's, kun je dan later door je huis heen bewegen. Resultaten zijn niet altijd even scherp, dus heb vooral heel veel geduld. Wearable: vorige keer in de podcast had Wolter het over de Oura Ring 4 die in de korting was, maar nu heeft hij de Oura Ring 5. Hij is echt blij verrast met de grootte van de Ring. Hij is veel minder aanwezig dan Ring 4 en hij kan hem van harte aanbevelen. Hij heeft ongeveer een week batterij. Hij is wel wat duurder, 429 euro betaal je ervoor, dus dan de tip om voor de Oura Ring 4 te gaan. Qua design is de Ring 5 veel discreter. Wolters volledige review volgt snel! See omnystudio.com/listener for privacy information.

VOV1 - Một đoạn video dài vài chục giây. Một buổi phát trực tiếp kéo dài vài phút. Một câu nói được thốt ra trong lúc cao hứng. Thế nhưng, cái giá phải trả có thể là danh dự, là cơ hội nghề nghiệp, thậm chí là cả tương lai của một con người.Đó là những đoạn video cợt nhả về hành trình tìm kiếm, quy tập hài cốt liệt sĩ; là những phát ngôn thiếu chuẩn mực của một số sinh viên ngành y; là những màn phát trực tiếp với lời lẽ phiến diện, cực đoan và xúc phạm người khác. Đằng sau tất cả những vụ việc ấy là một câu nói quen thuộc: “Em chỉ đùa thôi”. Nhưng liệu mọi thứ đều có thể mang ra để đùa hay không? Phải chăng, ranh giới giữa hài hước và phản cảm đang ngày càng trở nên mong manh? Điều gì khiến một bộ phận người trẻ bất chấp chuẩn mực để đổi lấy sự chú ý trên không gian mạng? Đó cũng là nội dung chúng tôi bàn luận trong chương trình hôm nay cùng TS xã hội học Nguyễn Tuấn Anh, giảng viên Trường ĐH Công đoàn.Clip phản cảm nhanh chóng thu hút sự chú ý trên mạng xã hội, kéo theo nhiều ý kiến chỉ trích. Ảnh: Chụp màn hình

In April 2024 25-year-old Kennedi Westcarr-Sabaroche was a social media marketer and mother from East London who was found dead in her car being having been strangled and attacked.  Days before her death, Kennedi told a friend she was “on a break” from her relationship with Gogoa Lois Tape. But Tape lured her to meet him under false pretences and strangled her in the driver's seat of her own car—for eight minutes.   Tape was charged with murder, but prosecutors ultimately accepted a guilty plea to the lesser offence of manslaughter by diminished responsibility. He was sentenced to a hospital order under Section 37 of the Mental Health Act with a restriction order under Section 41. This means he will not serve a day in prison.   In this episode, Laura applies her expertise in behavioural analysis to determine whether there were coercive and controlling behaviours prior to Kennedi's death and examines Tepe's post offence behaviour where he confesses to murder.  Did he have clarity of mind and a consciousness of guilt? Did the court get it right? Just five months after sentencing, there was a move to apply for escorted leave for Tape. Linda is aggrieved and shares and why this is not justice.  In this episode Laura and Linda discuss:  Victimology: Kennedi's life and the person she was beyond the headlines;  The antecedents to Kennedi's death;   Behavioural patterns and warning signs that should never be ignored;   The impact of coercive control and escalating abuse;  The family's experience of the investigation and court process;   The intersection of violent offending, mental illness and public safety;  Why victims and families deserve to be heard;  What needs to change to better protect women and prevent future homicides.   #KennediWestcarrSabaroche #CrimeAnalyst #LauraRichards #DomesticAbuse #CoerciveControl #MaleViolence #Femicide #Expert #Analysis #Victimology #HomicidePrevention #TrueCrime #Podcast   Clip   https://www.tiktok.com/@yeamasaphar3/video/7607190671186726166?is_from_webapp=1&sender_device=pc   Support Crime Analyst   If you value these conversations, please follow, rate, and review Crime Analyst wherever you listen to podcasts. Sharing episodes helps us educate more people about coercive control, stalking, domestic abuse and homicide prevention.   For exclusive episodes, live events and behind-the-scenes content, join the Crime Analyst Squad on Patreon.   Laura's Resources and Training information:  www.dashriskchecklist.com    www.thelaurarichards.com      Crime Analyst YouTube, Socials and Website      YouTube @crimeanalyst       Facebook Crime Analyst Podcast      Instagram @crimeanalyst @laurarichards999      Threads @crimeanalyst      X @thecrimeanalyst @laurarichards999       TikTok @crimeanalystpod      Website www.crime-analyst.com       Leave a 5* Review https://www.crime-analyst.com/reviews/new/  Learn more about your ad choices. Visit podcastchoices.com/adchoices

Watch the full episode on YouTube:We first covered Baseten last year when DeepSeek mania was at peak hype. Now they have raised a monster $13B round and become one of the new cohort of AI Infra decacorns that are (with Nvidia, Intel, and the semis complex) chief beneficiaries of the Inference Inflection. We return to Baseten at the peak of the 2026 edition of Open Weights debate. Ali has published a viral breakdown of Kimi K3:And since you last saw him, Philip has spoken at AI Engineer and written the definitive book on Inference Engineering spotted all over SF:Three years ago, inference engineering barely existed as a category.Today, it is one of the most critical disciplines in AI. Inference engineering inherently tackles a different question than standard model training: “How do you turn those weights from training into a product that is fast, reliable, and affordable at scale?” Focusing on these creates an entirely new optimization problem.In one recent GLM-5.2 experiment, quantizing more of the model actually preserved its benchmark quality while increasing throughput by 20%, because the errors introduced in different layers could cancel each other out.Inference is no longer just the final step after training. It is becoming its own engineering discipline, with its own research problems, infrastructure, and increasingly specialized roles.In this episode, Baseten's Philip Kiely and Ali Taha join swyx and Vibhu to explain what actually happens after a new open model is released and what it takes to turn “we generated a token” into a fast, reliable, production-ready API.We go deep on cache-aware routing, disaggregated prefill and decode, quantization, speculative decoding, KV-cache movement, model parallelism, GPU kernels, and the race to make frontier models up to 10× faster. Philip and Ali explain why inference optimizations can still produce gains of 20%, 100%, or even 200%; how quantization errors can cancel one another out; why identical weights can behave differently across clusters; and how Baseten grafted a Kimi vision encoder onto GLM-5.2 without changing the underlying language model.The conversation then expands beyond LLMs into NVIDIA Dynamo, mega kernels, Rubin, AI-specific chips, local inference, video generation, diffusion versus autoregressive models, and the enormous compute barrier to generating coherent long-form video. Finally, we explore the convergence of training and inference, continual learning through persistent KV cache, and the emerging loop where models help optimize the infrastructure that runs them.We discuss:* What happens when a 200,000-token request enters an inference system* Cache-aware routing and reusing previously computed KV cache* Why prefill and decode are increasingly handled by different GPUs* When dedicated deployments become cheaper and more reliable than shared APIs* How speculative decoding uses a smaller model to accelerate a larger one* Tool calling, structured outputs, and what LLMs actually do* What it takes to support a new open model on day zero* Grafting Kimi's vision encoder onto GLM-5.2* Retrofitting inefficient model layers with components from other architectures* Why models sometimes collapse into repeating the same token* How hardware, kernels, and race conditions create nondeterministic failures* Preserving model fidelity while making inference faster* How quantization errors can cancel each other out* Why inference optimizations still deliver gains of 20%, 100%, and 200%* How optimized serving can make a model up to 10× faster* NVIDIA Dynamo, KV-aware routing, and distributed model serving* Speculative decoding the speculative decoder* Why local AI is about making models less dumb while data-center AI is about making them less slow* Tensor, expert, and pipeline parallelism across GPUs* Hardware-aware model design, auto-tuning, and the case against mega kernels* Rubin and why inference is becoming a systems problem* Whether modern GPUs are evolving into programmable AI ASICs* Why enormous models like Kimi K3 require GB300-class hardware* Why open-source video generation still trails Veo, Kling, and other closed models* The quadratic attention bottleneck behind long-form AI video* Autoregressive video, real-time generation, and compounding quality drift* Why future video systems may combine autoregressive and diffusion architectures* Training for inference and inference for training* Continuous post-training, deployment, evaluation, and improvement loops* How GLM-5.2 helped optimize the kernels serving GLM-5.2 itself* Why faster networking could unlock dramatically faster decoding* Continual learning, KV-cache compaction, and persistent model memoryShow Notes* How to build a day-0 API for Kimi K3* 22580: From GPT2 to Kimi3, ExplainedPhilip Kiely* LinkedIn: https://www.linkedin.com/in/philipkiely* X: https://x.com/philipkiely* Inference Engineering: https://www.baseten.co/inference-engineering/Ali Taha* LinkedIn: https://www.linkedin.com/in/aliestaha/* X: https://x.com/waterloointernTimestamps00:00:00 Introduction and the 200K-Token Prompt00:03:18 Dedicated Deployments, Speculative Decoding, and Tool Calling00:11:26 Launching Production-Ready Open Models00:19:06 Model Retrofits, Failure Modes, and Nondeterminism00:28:22 Quantization and Canceling Errors00:32:15 The Race to 10× Faster Inference00:40:48 Dynamo, Speculation, and Local vs. Data-Center AI00:50:18 Model Parallelism, Auto-Tuning, and Mega Kernels01:00:55 Rubin, GPUs vs. ASICs, and Custom AI Chips01:10:03 Giant Models and the Limits of GPU Memory01:12:42 AI Video, Quadratic Attention, and Autoregressive Generation01:21:47 Audio, Images, and Diffusion Models01:27:32 Training, Self-Optimizing Models, and Continual Learning01:40:06 Closing ThoughtsTranscriptIntroduction: Baseten, Waterloo Intern, and Inference EngineeringSwyx [00:00:00]: Okay, we're here in the studio with Philip, old friend from Inference Engineering, the book, as well as Baseten and everything that you've done, you and I have done before, as well as Ali. Welcome.Ali [00:00:15]: Pleasure to meet you.Swyx [00:00:15]: Waterloo intern.Ali [00:00:16]: Waterloo intern, always.Swyx [00:00:17]: When did you get “Waterloo intern” as a handle?Ali [00:00:19]: As a handle? Oh.Ali [00:00:20]: I think the rebranding happened mid-March. When I saw it was open, I was like, “I have to take it. Up for grabs.”Philip [00:00:26]: The problem is that Ali is really good at his job and is not gonna be an intern much longer.Philip [00:00:30]: So we have to figure out who's gonna get the handle.Ali [00:00:33]: Well, I'll pass the torch over to the next intern.Swyx [00:00:34]: Oh, okay. It can be, like, you just pass it to another Waterloo grad.Ali [00:00:37]: To another Waterloo intern. No, bruh.Philip [00:00:39]: Yeah.Ali [00:00:39]: Intern.Swyx [00:00:40]: Intern, yeah.Ali [00:00:40]: And no.Philip [00:00:41]: You gotta get an intern from Waterloo.Ali [00:00:42]: Yeah, I've gotta get an intern from Waterloo.Swyx [00:00:44]: Right.Ali [00:00:44]: But they have to follow the path.Swyx [00:00:45]: Oh, it could, but it could come from Baseten, so it's like whoever Baseten gets from Waterloo.Ali [00:00:48]: Right.Swyx [00:00:49]: Has the title of Waterloo.Ali [00:00:50]: It stays in the ecosystem.Philip [00:00:51]: Exactly.Ali [00:00:52]: Halfway through the internship, you either get it or you're out.Philip [00:00:55]: You should also do, like, a big graduation ceremony where you change the handle.Ali [00:00:59]: Just say it.Philip [00:00:59]: For everybody.Swyx [00:01:00]: You guys are good at ceremonies, clearly. We had a nice launch of the book, very successful. But before we get into all that, I wanna start off with a fun question for you. Okay, you're an expert inference engineer. What happens when I send a long query, say two hundred thousand tokens into Baseten's inference? What's the process of query through GPU model routing, balancing, all that? What is all the stuff that we don't think about?Long Context Requests, KV Cache, and Cache-Aware RoutingPhilip [00:01:26]: With a long query specifically, the first thing that I'm gonna ask is, “Have you sent me this query before, or at least part of it?” and I really hope you have, because it's gonna be a lot easier for me and a lot cheaper for you. So the first thing that we're gonna look at is some cache-aware routing, where we're going to see, we probably have a number of instances, a number of replicas up serving whatever model you're hitting. We want to send this one to something with, number one, available prefill workers, and number two, ideally some cached input already there so that we can skip prefill on at least part of these two hundred thousand tokens. If you're doing two hundred thousand tokens, it's probably coding or a multi-turn agent or something where you would expect to have that cached. If you don't, we're gonna have to send it to a prefill worker. We've at least on certain models disaggregated prefill and decode, so you're going to have one set of GPUs that's solely going to process the input, create the KV cache, and get you your first token, and then that's going to be passed over to a separate set of GPUs, which is going to run decode. We're going to iteratively make those tokens. We're probably going to have some speculator model in front of that. I'm going to assume that you're doing coding, and because of that, our speculator model, which assumes you're doing coding, is gonna have a high draft token acceptance rate. If I'm wrong and you're asking me to summarize every Harry Potter book, it's gonna be slower. And then we stream that output to you and account for it, charge you, a couple of pennies and say, “Hey, would you like to send another one?”Swyx [00:03:04]: Except Baseten doesn't charge by pennies.Philip [00:03:07]: Well, yeah, we charge. I'm assuming that we're talking about the public model APIs. If you are setting up a dedicated deployment, then yeah, it's not pennies.Public APIs vs. Dedicated DeploymentsSwyx [00:03:18]: Yeah, one of the key differentiators when I was talking with Baseten initially was that people who want very high volume just need to rent by the box, ‘cause then it's up to you to figure out how to saturate the box.Ali [00:03:31]: And more often than not, it's, like, way cheaper if you're pushing, like, millions of tokens per hour, if you just pay per hour instead of pay per token.Philip [00:03:37]: Yeah, they do. I think that we've increasingly seen a lot of demand for the pay per token APIs, just because everyone wants to try open models, and then once they find a use case that's really sticky, then they move over to dedicated.Swyx [00:03:51]: Is there a best practice on when it's time to swap over?Philip [00:03:54]: Couple reasons. Yeah, reliability, that's a big one, right?Ali [00:03:57]: Like, if they have a very specific use case, they want you to train something specifically for them, like they want their own spec dec, for instance, for their own traffic.Swyx [00:04:04]: Spec dec is speculative decoding.Speculative Decoding and Custom SpeculatorsAli [00:04:05]: Speculative decoding, yeah.Swyx [00:04:07]: You have to explain.Ali [00:04:07]: Sorry. Like, speculative decoding is like, if you have a huge model, right? And so the model is going to be generating one token at a time every single turn, every single forward pass. So we attach, like, this little, like, parasite, like this layer that goes on top of the model, and this model just has to predict. It does three very fast autoregressive forward passes, and it will predict, like, three certain tokens, and then you do one forward stage over the entire original model in order to see if those predictions were correct or not, and then you accept them or you reject them. Now, this draft model is traffic specific, so if you, like, Philip said, if you're summarizing Harry Potter books, I can train exclusively that draft model on Harry Potter books, and I can guarantee you that I'm gonna accept the three tokens every single time. And so with that case, I increase your decode speed. I wouldn't be able to provide this to you if you're a shared endpointSwyx [00:04:53]: YeahAli [00:04:53]: ‘cause I have no idea if you're doing Harry Potter, if you're doing coding, if you're doing English. We don't know. Also, there was a thing in the book that mentioned that if they really cared about a specific threshold, chapter four, I think. Do you remember that?Philip [00:05:06]: Yeah. The things that you can do is you can set a specific, like, batch sizing, a specific, like, parallelism strategy if you're trying to optimize for, like, throughput versus latency. You can. Maybe a NVFP4 quant doesn't pass your benchmarks and you wanna run a model at higher precision, you could do that. There's just a bunch of reasons why you might wanna have your own endpoint and the biggest one, of course, just being, like, you don't have to deal with someone else doing a hundred million tokens of benchmarking traffic at the endpoint when you happen to be trying to serve your users.Swyx [00:05:40]: Yeah. I think one thing that is. That is a classic journey. Like, it's people is asking the, what happens when you type Google into the browser. Tool calling, is that just, you're generating JSON or is there more complication beyond that?Tool Calling, JSON, and Structured OutputsAli [00:05:58]: Certain customers that we have, they have their own post-trained models, and so they demand a tool calling that's not just, like parse a file or go find the weather. It's something that's very specific and you have to do post-training on this. And if the post-training on the model is not good or if the quantization after the post-training to get the inference to be fast, the model will struggle reading the JSON file and reading the tool calling. But it doesn't require its own like sandbox. It's not like it's going to use that tool calling to like escape a sandbox or like it doesn't have to be contained. It can just be a normal dedicated deployment. The challenge with tool calling more and more seems to be that the companies want certain tool calling which is a very sensitive thing to train. And because you're dealing with all of the JSON outputs, if it doesn't like close the end of the request in a very certain manner, you end up with a model that did the tool calling and like the thinking and so as a result of that, it didn't see the result and just hallucinated the result as it decoded. That seems to be the most challenging thing with tool calling, not really the sandboxes model.Philip [00:06:56]: Yeah, that's a challenge on the training side and then on the inference side, there's work that you can do to scope the possible output. So we published this at this point close to two years ago, the solution to this problem which is you make a state machine and you use that to constrain the output to a specific format. So this is the structured output problem. If you remember backSwyx [00:07:27]: Yeah, the specific grammar is,Philip [00:07:29]: Yeah, exactlySwyx [00:07:30]: GML had this thing.Philip [00:07:31]: Yeah. So it's like the old-school “make sure this is only JSON”, return only JSON orSwyx [00:07:38]: YeahPhilip [00:07:38]: Grandma's gonna die type of prompts.Swyx [00:07:39]: Is it BNF grammar? At some point OpenAI had released a thing that was like, yeah, if you want to constrain your output, write BNF grammar, back as NOR.Philip [00:07:47]: In our inference system, it's just a specified output format. And you get the guarantee that your output's gonna be structured along that format. And so applying that to tool calls can like help cut down on. You can still call the wrong tool or call no tool. It doesn't solve the certainty problem but it at least solves the output structuring problemSwyx [00:08:10]: YeahPhilip [00:08:10]: Within tool calls.Swyx [00:08:12]: And MCP is just another form of tool, right.Philip [00:08:14]: Yeah, exactly.Swyx [00:08:15]: As far as there's no special thing there.Philip [00:08:16]: The thing I'm always like explaining to people is the LLM is not capable of doing anything. It's only capable of making suggestions of what to do and then if those suggestions are formatted in a certain way and applied to a system that knows what to do with them, then an action occurs.Swyx [00:08:32]: Yeah. Part of the fun stuff is, this is solved outside of tool calling too. Like in an agent loop if the output is not correct or you're right, like reasoning, tool calling was done in the reasoning trace, just be like, “Oh, I don't know what to do. Let me just try again.” And it might get there after a few tries. And on your point of training, sometimes this is harder in smaller models, so you don't have the same exact quality outputAli [00:08:56]: Right.Swyx [00:08:57]: When you just swap from a big model, right?Ali [00:08:59]: Yeah. I will say that, before, I think we need to go back to inference engineering proper.Ali [00:09:04]: But, I had expected that something would replace JSON because it's hard to stream JSON ‘cause JSON must be complete and you must have open and close brackets and everything. So it's hard to parse something or validate something while it's being streamed. So people invented all sorts of things that are like, I forget the name of some of these alternatives, but it's something like TOML, something like YAML. But JSON seems to be dominant still.Philip [00:09:30]: The JSON outputs aren't that long, right? Like you could have a long-- ‘cause tool calls also contain the arguments in them and perhaps for a certain tool you might pass like a very long argument. But my impression of the median tool call is that it's a relatively small number of tokens, right? So I would expect that speculators are generally fairly good at something as formatted as JSON. And so you would have like a pretty fast decode step there and that the streaming wouldn't be as valuable, but maybe I'm wrong about that.Ali [00:10:02]: I think you're also bounded by the software or that the model is gonna integrate with if the software is built with JSON for the tool calls or if the company that you'- if your customer says that this is how our software works and our tools are interfaced with JSON, you can ask them to like, change their software and say like, “Yeah, this is gonna be better for the model.” but like with the right training shouldn't be that much of a difference. Also more profitable if it outputs more tokens probably.Swyx [00:10:25]: Depends on your business model.Swyx [00:10:27]: It really depends. But I will say that, as a writer with like experience a lot with generated output, I do try to move from text to JSON text which is very long JSON, right? Like there's paragraphs in every field because I'm trying to structure it, right?Philip [00:10:44]: Right.Swyx [00:10:44]: I want you to first make factual statements, then make opinions then make bullet point summaries, have dates, have entity references have your sources for references, all these things. Anyway, so these are things that like I think people who really experiment with structural output have to really care about. But, let's, let's recurse up the stack a little bit. Before we started recording, you mentioned something really cool, which is that there's a lot of engineering that-- inference engineering that goes on when a new model provider releases a new model, right? So let's call it GLM-5.2, Kimi K3. I had previously assumed, especially if it's like, well, GLM 5 to 5.1 to GLM-5.2, like that you've supported them before. Is it that much work?What It Takes to Support a New Open ModelAli [00:11:26]: It's a lot of work.Swyx [00:11:28]: Yeah. Okay. So like, a lot of people, all you guys, right whenever a new model launch like, people rush to say like, “Oh, Hugging Face supports this, Fireworks supports this, Spacetime supports this,” and I'm like, “Yeah, of course we support it.” But what goes into that? What goes intoPhilip [00:11:40]: I think it's more than just support it too, right? It benefits the consumer a lot. Like I think it was with Kimi K2.5 or GLM-5.2 the latest, there was an inference war, right? X provider is at 90 tokens a second. The next day we're at 150. The nextSwyx [00:11:55]: I kinda kicked that off with the GLM-5.2.Swyx [00:11:58]: I wrote a Twitter article about. It got like half a million views,Ali [00:12:02]: Based on being numberSwyx [00:12:03]: YeahAli [00:12:04]: Or it's for something else.Swyx [00:12:05]: Yeah. Which,Ali [00:12:06]: Oh my GodSwyx [00:12:07]: Which then got everyone really excited about, hey, how can we, bend tracks a little bit further and,Philip [00:12:14]: There's a difference between support the model, as in I can make a token out of this model, and support a model, as in I have a production-ready API from this model.Philip [00:12:26]: Getting to the point of I can make a token out of this model is not that hard because generally the, open source inference engines, vLLM, SGLang of the world oftentimes even receive weights ahead of time, maintainers do, or the people making the model merge PRs to ensure support. So you generally can, just get it working on the standard open source stack without too much pain in most cases. The challenge is, every inference company is gonna have own proprietary stack. Some open source components, some in-house stuff. And for any arbitrary model, there's going to be some new stuff. Sometimes you get lucky, like K, two five to two six was, like, pretty similar.Quantization, Speculators, and Production ReadinessAli [00:13:16]: Yeah. It was pure continued post-trainingPhilip [00:13:18]: YeahAli [00:13:18]: If I remember correctly.Philip [00:13:19]: Even in those cases, there's still stuff you have to do. You have to redo the quantization work. You're taking the model from. Generally, these models are not released in NVFP4, and we want them to be in NVFP4 for maximum Blackwell compatibility. So we have to perform that quantization, and, calibrate the quantization to make sure that we're not causing any regression in the model's intelligence. And then we also have to train the speculator, as we've talked about. Generally, we have. We have ZDR, zero data retention on our model APIs, so we don't know exactly the traffic that people are sending us, but we know what's popular. We know that coding use cases are popular. We know that agents, agentic use cases are popular. So we can get public data sets that are representative of that traffic and train general speculators. Now, with speculators today, you need to train the speculator using the base model itself because you're getting hidden states out of the model from running inference on these specific prompts, and that is the training data you use to create the speculator. So there's that process which you need the real model weights for. And then there's of course just the process of, standing up all the infrastructure behind it, loading all this stuff, testing it. And then when there's a new model with a newer architecture, I think that, like, the DeepSeek models tend to be the most challenging as they have, like, the most novel architectural stuff going on, model after model. But every new model has something. Kimi K2 had. Oh, sorry, GLM-5.2 hadAli [00:14:53]: Sparse attention.Philip [00:14:54]: Yeah,Ali [00:14:54]: YeahPhilip [00:14:54]: the DSA.Ali [00:14:55]: Right. Which is brought from DeepSeek.Philip [00:14:57]: Yeah. AndAli [00:14:59]: So you can copy-paste then?Philip [00:15:01]: It kindAli [00:15:01]: I don't know how this works.Philip [00:15:02]: So, like we had to, like, build support for that into our runtime. And you're right, like it is really interesting the way that all of these open source labs borrow from each other. For example, like GLM-5.2 doesn't have vision. So something that, Haley, a guy on our team, if we could take a look at this, he, like, grafted the Kimi vision encoder onto GLM-5.2.Retrofitting Vision into GLM-5.2Ali [00:15:27]: We'll be training the projector.Philip [00:15:28]: Exactly. So if you think about, like, the encoder, there's the encoder, which is the part that looks at the image and turns it into latent information, and then there's the projector which likeAli [00:15:38]: You can say latent space. It's okay.Philip [00:15:41]: And then there's the projector that maps it onto, the model itself, and then there's the model weights. You don't wanna mess with the model weights because you run a chance of making the model dumber at something else for the purpose of giving it vision. So instead, Haley started with just a projector, which is only a handful of millions of parameters.Ali [00:16:02]: That would be, yeah.Philip [00:16:02]: Yeah.Ali [00:16:03]: Can you show the training one?Ali [00:16:04]: Like the way it groksPhilip [00:16:05]: YeahAli [00:16:06]: Very interesting.Philip [00:16:06]: And maybeAli [00:16:07]: That right therePhilip [00:16:07]: Maybe Ali, you should take it from here. You've got a betterAli [00:16:10]: Ooh, double the sandPhilip [00:16:11]: Understanding of this than I do.Ali [00:16:11]: Yeah. You can see, like, he. The way he trained this is really cool. At the beginning, he was training it using just like, “Here's a picture of a mountain. Can you describe what's in this mountain?” And that caused it just like the first, learning walls. Like here you can see this all we're trying to teach it is to translate the encoded. Like it's already taken the encoder from Kimi K. It's taken the image. It'Philip [00:16:31]: Yeah. FrozenAli [00:16:31]: FrozenPhilip [00:16:32]: With adapter.Ali [00:16:32]: Exactly.Philip [00:16:33]: Yeah.Ali [00:16:33]: So the brain is frozen and the eyes are frozen. It's just we're tryingPhilip [00:16:37]: AlignAli [00:16:38]: Interconnect between the eye and the brain, right? So the projector. And so you take the tokens and then he's like, “Oh, can you describe what's in this image?” And he's like, “Oh, it's a mountain,” or it's a person or it's a human, whatever the case is. But that didn't cause complete understanding. So he changed it such that every image was associated with a data set of questions. Like, does this image have a white male? Does this image have birds in the top corner? Does this image have a scientist in it? All of that stuff. And it would have to answer questions correctly. And using not just training on describing an image, but being able to answer question, another question, answer over time. Like you can see the grokking, which is like genuinely insane, that retrofitting vision into a large LLM can learn to that extent. And even for images that it doesn't perform well on, for instance, if you ask it a picture of like Stephen Hawking, “Who is this?” Maybe it doesn't get it, but it will say something like, “This is Albert Einstein.” Like it still understandsPhilip [00:17:25]: Close enoughAli [00:17:26]: That this is a scientist who is a man who has, some significant achievements, all that stuff. So that's like really cool.Philip [00:17:32]: Yeah. So, we've covered Hao Tian before, who the author of the LLaVA paper that did this, a while ago. And I think that's very foundational work for anyone who hasn't done vision work before.Ali [00:17:41]: Same with the CLIP and MetaCLIP, where you go from just captioning to building out questionsPhilip [00:17:47]: RightAli [00:17:47]: Off the image and how much better you can get performance.Philip [00:17:50]: Right. Right. Right. Yeah. But what's, what's so exciting about this is if you look at a model like this. Now, this is a little bit more of a research project. It's not. It got to 56% on MMLU Pro, I think. So not quite frontier. But if you're running this model, you haven't suffered any loss on your GLM-5.2 quality. If you don't have an image, it'll just behave exactly the way it used to. And ultimatelyAli [00:18:14]: Which in the inference code you literally do not include the other part, right?Philip [00:18:18]: Yeah. You would just skip the encoder if you don't have an image input.Ali [00:18:22]: Okay.Philip [00:18:22]: Just confirming.Philip [00:18:23]: YeahAli [00:18:23]: Does it affect a lot on the overall inference side? Like you're not adding much, you're adding a very small vision encoder. These are typically likePhilip [00:18:30]: They're super fineAli [00:18:31]: Less than a billion parameters, right?Philip [00:18:32]: Yeah. It's, - There's a little bit less standardization among vision encodersSwyx [00:18:37]: YeahPhilip [00:18:37]: So the support matrix can be a little bit, sparser. But overall, yeah, it's a pretty, it's a pretty minor component of the overall system. And ultimately what you get out of the system is all of a sudden you have Kimi Vision, GLM weights, and DeepSeek attention all in one model.Open Source Model Grafting and Franken-MergesPhilip [00:18:56]: And that's, I think, a lot of the power and beauty of open source, is that you can take all of these different components and combine them together into a system that's better than anyoneSwyx [00:19:05]: YeahPhilip [00:19:05]: Can be individually.Swyx [00:19:06]: People used to say that you would also do Franken-merges where you would take likePhilip [00:19:10]: YeahSwyx [00:19:10]: Layers from each model.Swyx [00:19:11]: Does anyone do that anymore?Ali [00:19:13]: Well, to your point previously when you were mentioning like, the work that goes into supporting a model when it first comes out, like GLM-5.2 or MiniMax M3 or whatever the case is. Sometimes you do have to like, you do have to switch out some things. Like, for instance, the MiniMax M3 head uses full attention, and with full attention you end up with this like insane bottleneck in spec dec ‘cause you're doing auto-regressive token generation for three tokens, and you're doing this like N squared over all of the tokens that are in your sequence. Your KV cache is like very large because it's not sparse, it's not top K. So we find it better to like, okay, we're gonna replace this, we're gonna replace this layer with a layer from another model that's using like GQA, for instance. And then just with the right training, you can get it to have the same acceptance rate. So it is very possible to retrofit layers from other models and very much needed. If a layer is like inefficient, the training just becomes the challenge, like how do you ensure that you train it properly? Which again to your earlier point is like the mesh between training and inference. As in like you need very good training in order to do fast inference. That's like, I feel like more and more becoming true.Swyx [00:20:21]: Yeah. Anything else on the support side when you say like get it to fully production ready?Loop Detection, Race Conditions, and Non-DeterminismPhilip [00:20:26]: Yeah. I think that there's also a question of just, we can test a model to a pretty extensive degree, but we're trying to get it out quickly and then you see a bunch of other people test it and you get interesting results. There was an issue with, GLM briefly where we had some like mode collapses where it would just output the same token over and over again for certain prompts on certain temperatures. Like once you expose an endpoint to the real world, there's going to be, so many more varieties of things given to it that you're able to, discover and patch things. So it's not just a, day zero process, it's then like for the first week, for the first month, if a model remains popular, like how do you both fix bugs and then continue to push the envelope on performance?Ali [00:21:21]: What do you mean you don't want your model outputting S?Swyx [00:21:24]: Is there loop detection on that stuff, by the way? It still happens like quite a lot, which is surprising.Ali [00:21:30]: We have like we, in our endpoint, like if a model was to output the same token like four plus times, we just cut the generation. We say like, “Oh, sorry, this-- Like try again,” or like we will reprocess the request. ‘Cause we know then, like if it, like if, yeah, it's four times the same token, it's probably collapsed.Swyx [00:21:45]: Yeah. Is there a way to opt out in case I really want that?Ali [00:21:48]: You want that?Ali [00:21:50]: I think there's a way that we have to handle it. I'm not exactly certain, but I feel like in certain models, like when they output something like you can imagine, like a table for instance, and so they want, they wanna draw like 12 dashes and 12 dashes. Yeah, I think there's a way for that to happen. I think we only do it on certain tokens. Like we exclude certain special characters.Swyx [00:22:07]: Yeah.Ali [00:22:07]: So we only do it on like certain like S is the most common almost. GLM-5.2Swyx [00:22:11]: OhAli [00:22:11]: And I think it was DSV 4 as well. Like you'd just have like looping issues where like you literallySwyx [00:22:17]: ItAli [00:22:17]: Just have like S.Swyx [00:22:18]: Yeah. Is there a special, something special about S? No, just randomlyAli [00:22:21]: It just seems to be the one token involved.Swyx [00:22:23]: Yeah. And it'Philip [00:22:24]: Is thereSwyx [00:22:24]: And it's only temperature 0Ali [00:22:27]: NoSwyx [00:22:27]: Even at other temperaturesAli [00:22:27]: Even at like 0.9 or whatever, it will still, it will still collapse.Swyx [00:22:30]: That's weird, right?Ali [00:22:30]: It's, it is an inference problem to be honest, like a software problem. Like oftentimes, the image you run will-- like NVIDIA will release an image for instance, and if we will upstream the changes from their latest TensorRT-LLM image into our stack, we'll find that it fixes it. Or oftentimes this will only happen in an inference engine that you're using like SGLang. But if you were to switch to vLLM, that isn't the case. So it seems to be like an extremely like deterministic software issue and not really a model issue. It's not like a weights problem. Like I'- we'll say like, “Oh, it's a problem with the quant. We did PTQ wrong,” right? But that isn't, that doesn't make sense because the same weights used with a different inference engine does not repeat the problem. And sometimes it's, the kernels that are being used in the backend have like these very subtle sometimes race conditions, where if you were to use this model hosted on one cluster, you will never get this problem.Swyx [00:23:19]: Oh my God.Ali [00:23:19]: But if you host it on a different cluster, you will. And the reason is the KV cache transfer from a node to node in that one cluster is using a slower interconnect than the node to node in another cluster. So that exposes the race, whereas in another cluster it doesn't. So then you end up just like, okay, this model is not gonna be hosted on this cluster. We're gonna host it on, another cluster because that cluster exposed that problem. But then it ends up with like, okay, is it the software? Is it the model weights or is it the hardware?Swyx [00:23:42]: There is a thing about this with temperature 0 still not being deterministic, right?Ali [00:23:46]: Right.Swyx [00:23:46]: Mostly because of hardware. Even at temperature 0 same model, you won't always get the same output.Swyx [00:23:52]: Even-- But I'm surprised by the race condition one because, I thought PyTorch was a graph that like guarantees that you at least, execute things in the right order.Ali [00:24:02]: Well, yeah, true. Like I'm not, I'm not saying that there is. Like well, you have things like PTL optimizations where like you can start a kernel before the end of the previous kernel, and that's like ‘cause you want to do that because there'sSwyx [00:24:12]: It's like pipeliningAli [00:24:12]: Expense. Exactly.Swyx [00:24:13]: Yeah.Ali [00:24:13]: But it'- But you don't do it cleanly. Like you overlap a little bit of the execution. No, it is very possible that the kernel itself, like that one block that is supposed to be running in this instance of time, that kernel itself has a race condition. For instance, like a missing barrier. Like often if you're designing a kernel and you want it to make it to be very fast, if you don't test it extensively, you'll, you'll have certain threads access data points from registers before they've been written to by other threadsSwyx [00:24:36]: YeahAli [00:24:36]: For example, because like your barrier is wrong or your synchronization was wrong. But yeah, like the testing itself is very difficult in those like, andSwyx [00:24:42]: And there's no like borrow checkerAli [00:24:45]: What does that mean?Swyx [00:24:46]: Like Rust. Like the. If you're trying to have like memory safety It sounds like a comparable problem.Ali [00:24:52]: Well, yes, but you're working in CUDA, right, NVIDIA GPUs. Like- You just need a higher level language like modular Maybe that's what modular is supposed to do. I don't know.Quantization Quality and Vendor FidelityVibhu [00:25:00]: How do you see keeping quality of the model? So you talked about all these steps of, okay, you gotta do quantization, train your own speculative decoderAli [00:25:07]: RightVibhu [00:25:07]: Run on different hardware. Looking at other model providers, okay, you kicked off a inference speed race on the consumer end. What goes into keeping quality the same across them, right? Sure, you can run benchmarksAli [00:25:22]: YeahVibhu [00:25:22]: But, like, how do you determine how much quantization are there standards? What goes intoPhilip [00:25:27]: There's a few things on quality. Most inference optimizations are lossless. KV caching, for example. You are just recomputing or preventing recomputing the same values. Speculation, of course, if a draft token is wrong, it gets rejected. The main lossy optimization is quantization. And that really comes down to, number one, data format, number two, which parts of the model you choose to quantize, which layers, and number three, like doing a lot of calibration on the quantized weights, to ensure that you're preserving all the outliers. There's other tricks that you can do, though. A big one is long context, ‘cause one thing you asked at, right at the beginning is, “Oh, what's gonna happen if I send a 200,000 token request in?” So with a long input sequence, you need to, store a lot more information. You need to process a lot more tokens. And so even if a model has a context of a certain length, you might, as an inference provider, choose to build an API with a shorter context length, and of course a full length one as well. Because if someone doesn't need the full million token context, for example, you can get them better performance. I don't know if that's exactly like quality of the model. The way that I think about quality is to what degree are we faithfully serving the original model? If you think of a golden implementation of a model that performs exactly the way the model is designed to perform, I think of quality as how close are we getting to that, 100% fidelity of the model.Philip [00:27:13]: You can also, of course, think about quality from the training side and how do you push yourself past 100%. But when I think about purely inference optimizations, it's getting faster while staying as close to that 100% fidelity mark as possible. And certainly our standard internally is that, like you should not be able to tell the difference between our API and a, official API. I think Kimi in particular does a good job of vendor benchmarking hereAli [00:27:41]: YesPhilip [00:27:41]: Where they haveAli [00:27:42]: They released an actual vendor benchmark.Philip [00:27:43]: Exactly, yeah.Ali [00:27:44]: ‘Cause they accused, some people, Amazon? There was some provider that was not doing very well on Kimi's benchmark.Philip [00:27:50]: Yeah.Philip [00:27:51]: So, with Reflect we probablyVibhu [00:27:52]: This was a long time ago, right?Philip [00:27:54]: No.Ali [00:27:54]: Yeah, like threeVibhu [00:27:55]: They alsoAli [00:27:55]: Four, five months agoVibhu [00:27:57]: This also happened with, I don't remember which model, but they pulled out quite a few, and then they started a whole chart about this. It might have beenPhilip [00:28:03]: Kimi Vendor Verifier.Ali [00:28:04]: Yeah.Philip [00:28:05]: Yeah.Ali [00:28:05]: Yeah, ‘cause you, ‘cause you'd be pissed, right? Like if you'Philip [00:28:07]: Yeah.Ali [00:28:07]: If like if I'm a consumer and I'm using like Amazon's endpoint for instance, and I've used Kimi and I'm like, “Oh my God, like this is bad,” I'm not gonna say, “Oh, Amazon quantized the model in a bad way.” I'm gonna say, “Oh, Kimi sucks.” Right?Philip [00:28:17]: Yeah.Ali [00:28:17]: So it seems like that makes sense.Philip [00:28:19]: Yeah, they care. They care.Vibhu [00:28:21]: Justifiably.Ali [00:28:21]: Yeah, justifiably.Vibhu [00:28:22]: This is probably a stupid question, but just checking, has anything improved from main quantization?Philip [00:28:28]: Yeah.Vibhu [00:28:28]: Like, is quantization always strictly worse?Ali [00:28:30]: Well technicallyVibhu [00:28:32]: NoAli [00:28:32]: It's a lossy. QuantizationPhilip [00:28:33]: YeahAli [00:28:33]: Is a lossy, it's a lossy implementation.Philip [00:28:36]: Speed improvesVibhu [00:28:36]: Speed improves.Ali [00:28:37]: It the number, likeVibhu [00:28:38]: No, I' always look for inverse scaling laws.Philip [00:28:40]: Yeah.Ali [00:28:40]: Yeah.Vibhu [00:28:40]: This is something I learned from Noam Brown, where like things that normally act in one direction sometimes do.Philip [00:28:45]: Well, technically when you run a benchmark, because these models are deterministic, sometimes your,Ali [00:28:52]: YeahPhilip [00:28:52]: NVFP4 quant is like, two basis points higher than yourAli [00:28:56]: No, it's noise. It's noise.Philip [00:28:57]: Yeah, exactly. I'm like, yeah, it's, it's within. That's why I always say within margin of error.Philip [00:29:01]: And I stopped saying that because everyone assumes that what is, well, within some margin of error, we're barely inside of that to the worst, so we're saying. But yeah, sometimes it's just like, gives you a higher output score. But like Ali said, that's noise. To my knowledge, you're not necessarily making the results better. You're just trying to, again, like keep your fidelity as close to 100% to the original model.Layer Selection, KL Divergence, and Better QuantizationAli [00:29:27]: There is, to your point, research that we did on MP. I don't know if you are able to pullPhilip [00:29:31]: YeahAli [00:29:32]: A tweet we did. One of our research interns, Joshua, I think it's a tweet on how we have 20% better quantized GLM-5.2 than NVIDIA. Essentially what we found throughout like this month research is, okay, quantization is a lossy. It's. You're compressing the data from, occupying 16 bits to occupying, four bits, for instance. And so you're losing some information, and you're trying to minimize that. And so when I say that I'm gonna quantize the model, my job becomes how do I find the layers that I can quantize, and how to find the layers to not. For instance, with image models, I don't quantize modulation layers, and I don't quantize out projections because those two are. Like out projection is what you see as the user. Modulation is what the model sees or understands. Right, exactly. And so to his paper, do you have the. It doesn't have the. Yeah. It's a long paper. I don't know if I can findVibhu [00:30:25]: If there's a part to search or it's probably in the thread.Ali [00:30:28]: It's probably in the thread.Vibhu [00:30:29]: Yeah.Ali [00:30:29]: But the long and the short is it is very possible that quantizing more of the model makes the results. Like if I have a model that I quantize layers one, five, and 10, and another model where I only quantize layers one and It is possible that the model in which I quantized more information is going to perform better because the quantization errors have canceled out. And so what Joshua showed in his mathematical proof where he had like a verifier in, is that you can predict which layers are going to have quantization errors that will cancel out with each other, and you choose to quantize those layers. And so the result of doing this mathematical quantization is you end up with a model that's 20% more quantized than another provider, so you get 20% more throughput of it because there's more layers than running an NVFP4, and your quality is better than that other quant because the layers that you chose to quantize have their errors cancel out, like one layer skewed to the right one layer skewed to the left, one layer skewed to the right. Your final logits distribution is more similar to the original distribution of the model, so you have better fidelity. And so the way we proved this was with KL divergence. So instead of just scoring on the benchmarks, we scored the KL divergence between the logit distribution of the quantized model and the logit distribution of the original full precision model, and we showed that with this technique we get. If your probability distribution on the logits which token it wants to select is more of the same as the original model, you're probably gonna end up staying true to the original model. So yeah, so it seems like previously before this, it seemed like the industry was, well, the more you quantize, the worse it's gonna be, ‘cause the more loss you introduce. That's not exactly, not necessarily true. So yeah, doesn't improve it, but can cancel out.Philip [00:31:57]: I think it might be this, but reminds me a good bit about pruning where you can prune off certain layers.Philip [00:32:03]: But very interesting. Didn't know this was a whole paper you guys put out.Ali [00:32:06]: It's. Fun fact, it was originally 72 pages, this paper, and then we decidedPhilip [00:32:11]: WowAli [00:32:11]: We can't tell. We couldn't release it. So it's now 45.Swyx [00:32:15]: Still 39 pages, so very substantive. We talked about evals and all these things and, like what's possible in terms of speedup? Like it's like probably like the numberInference Speedups and BenchmarkingSwyx [00:32:25]: Thing that people do wanna care about, and it's something that you wrote about in your post. Like official API is 70 tokens per second, and you push it up to 90. Is that like a normal thing?Philip [00:32:36]: So what's cool about working in inference, the reason that I think inference is going to be a useful place to do engineering for a long time, is that if you look at highly optimized domains like, say, finance, if you're in finance, you measure how much better you got in basis points. It's like, “Oh, I got five basis points better, like twentieth of 1% better,” that's huge news because everything is so optimized. When we publish optimizations, it's 20%, it's 100% it's 200%. So there's still probably like a lot further to go, honestly. Like you'll, you'll know that inference is pretty much solved when researchers start publishing about how they got 1% faster at something.Swyx [00:33:19]: Which by the way, because I am from the finance background, in the ‘70s, that was the margin at the time. When you did quantitative finance research, you would findAli [00:33:27]: And like 20%, tens of percent.Swyx [00:33:29]: That's. Yes.Philip [00:33:29]: Yeah.Swyx [00:33:30]: And now it'Philip [00:33:31]: Tiny fractionsSwyx [00:33:32]: For those people interested, look up Andrew Lo's paper. He had a really interesting illustration of quant, stat arb, distribution, narrowing down from like those kinds of 20% differences in the ‘70s, down to nothing today, which is very cool.Philip [00:33:48]: Exactly, and we're at the beginning of the same type of thing. Now benchmarking is hard. I think anyone will tell you that, and benchmarking provider speeds is hard because there's so many variables that go into it. What hardware are you using? How much load do you have on the system? What's the exact nature of the prompts and input and output sequence lengths? All that stuff. But overall, when you start stacking these improvements, you're looking at multiples. You can look at it. The most common form, of course, is TPS, tokens per second, which is bad naming by us in the industry, ‘cause there's two tokens per second. There's tokens per second, the throughput number, and the latency number.Ali [00:34:31]: TTMT, yeah.Philip [00:34:32]: Like total tokens per second out of the, out of the GPU as a throughput number. Most people only care about tokens per second as the latency number, which we should call ITL, intertoken latency, but we don't.Philip [00:34:44]: Anyway, so you can imagine a standard API without many optimizations for a 1 trillion parameter model operating somewhere in the 30 to 50 tokens per second range for reasonable traffic profile. And we generally see the goal of, pushing to 10X that. But, not necessarily day zero, but by stacking enough optimizations, if you have, say like four optimizations, each of which doubles performance. Or sorry, three optimizations, each of which doubles performance, then you stack that up, that's an 8X gain. That's the order of magnitude that we're working with in this space. We're trying to make things substantially faster, not just go from like 70 to 90.Swyx [00:35:38]: Are you saying you've. You have done that?Philip [00:35:40]: So let's say you have as a reasonable baseline, 30 or 40 tokens per second. You can achieve 10X that. So like on GLM-5.2, if you run it unquantized, perhaps on H100s even, and you're just using an off-the-shelf inference engine with no particular optimizations, no speculator, nothing extra around like KV routing, no disaggregation, you're, you're probably, yeah, looking at that like 30 to 40. You think that's like a reasonable baseline?Swyx [00:36:12]: Right. Right.Philip [00:36:12]: To get to something like 10X, there's a lot of trade-offs that you're making. If we're running at more like a 300, 400 tokens per second range, you are using the best hardware possible. You have a optimized speculator. You have done all of your quantization work. You are Seeing a pretty high cache hit rate. You are running with a reasonably small batch size and a parallelism configuration that is tuned for latency versus throughput, but it is possible. So the spreads that you see if you, like, go on artificial analysis or you go on OpenRouter and you look at, the worst provider to the best provider, oftentimes can hit that range. 10X is of course very aggressive. It's oftentimes maybe more of a four to six times improvement. But that's the performance that makes us really excited, is when we can get these huge gains, not just go from 70 to 90 tokens.Stacking Optimizations: NVFP4, Speculation, and DisaggregationAli [00:37:19]: It's also, like, hardware dependent. Like, ifPhilip [00:37:20]: YeahAli [00:37:20]: If you have a thing where you're serving it on just, like, a node of H100s and then you throw, like, you shard the model across, like, four nodes of B200s. Like, you can definitely increase the speed with just throwing more hardware at it. Like, normalizing for the same exact hardware and the same number of GPUs.Philip [00:37:35]: Yeah. Then you're looking at, like, a two to 4X improvementAli [00:37:38]: Right. RightPhilip [00:37:38]: Depending on the inference optimizations. So yeah, it's. Some of it's, what's the call, and some of it's who's the driver.Vibhu [00:37:46]: If you break down the two to 4X, say the example is run GLM-5.2Ali [00:37:51]: YeahVibhu [00:37:51]: On B200sAli [00:37:53]: YeahVibhu [00:37:53]: Single node, right? What's, like, the cost trade-off for effort to get, like, the last bit of juice out versus what should people just think of, right?Ali [00:38:01]: Spectre quantization. Yeah.Vibhu [00:38:03]: Spectre quantization.Ali [00:38:04]: That's, that's, that's like 95%. LikeVibhu [00:38:06]: And how far does that get you? And how easy is that for the average person to do? So say right I wanna throw the weights of GLM-5.2 on a node of B200s, how easy is it to find speculative decoder- decoder model or already quantized model? How much work goes into it?Philip [00:38:23]: If you're doing it up front, it's quite a lot of work. If you're doing it today, there's going to be people who have published things that you can just, you can just grab some NVFP4 weights. You can grab a speculator. Yeah, if we're thinking about, like, what are the 2Xs we're stacking, going from, BF16 to NVFP4 is, it's not quite a 2X, right? It's like. I think it's about, like, 30 to 40%, from 16 to 8, and then another 30 to 40% multiplied from, 8 to 4. So that doesn't quite get you a 2X, but, like, roughly a 2X. Speculator, roughly a 2X. Disagg on top of that if you're able to get enough hardware and put enough traffic through it, another roughly a 2X. And then you add in some, double-digit percent increase from having just a better runtime with, the latest kernels and stuff behind it. And that's how it stacks up.Ali [00:39:21]: YeahPhilip [00:39:21]: So building each of those, like, building the, quantized weights is, for someone who really knows what they're doing, hours to days of work. Building the speculator, again, like, hours to days of work. And the, disagg setup, hours to days. Well okay, but like once you haveAli [00:39:39]: Once set up. Once set up. YeahPhilip [00:39:40]: Yeah, getting disagg working for the first time, I'm saying, of course, is very difficult.Philip [00:39:44]: The marginal implementationAli [00:39:48]: Like, if you're just grabbing, like if you are a person, like just a normal consumer who has access to, like, a node of B200s and you're wondering, “How can I just host it myself?” You don't need to quantize the model yourself. There's always gonna be, like, an open source quantized checkpoint. NVIDIA's gonna push one out if no one else does. You. Usually, the providers will have their own spec dec that they've trained as well. You don't need to train your own spec dec. You can just use that as well.Philip [00:40:09]: Yeah. Like, GLM-5.2 has its own MTP.Ali [00:40:13]: Right. Right.Vibhu [00:40:14]: What's multi token prediction?Philip [00:40:15]: Yes.Ali [00:40:16]: I'm justVibhu [00:40:16]: Can you explain that?Ali [00:40:16]: I'm just an expert.Ali [00:40:18]: I can do it for you in case I get it wrong?Vibhu [00:40:20]: No.Vibhu [00:40:21]: Yeah, you should correct if we're wrong, but their multi-token prediction can be used for self-speculative decoding.Ali [00:40:27]: I'm not sure. I'm not gonna correct that.Vibhu [00:40:28]: Okay. I'm semi-confident in thatAli [00:40:30]: Okay. YeahVibhu [00:40:30]: But someone can check. But it's useful to paint the story of, okay, not just the average person, but say a company wants to switch from serverless inference I wanna throw this up on. I wanna rent some GPUs, throw it up. These are the steps you take to do significantly faster than just put it behind vLLM.Ali [00:40:48]: Right.Vibhu [00:40:49]: I was waiting for a mention of Dynamo.Vibhu [00:40:51]: I feel like, that's supposed to be the baseline that you measure against.Dynamo, KV Routing, and Disaggregation ToolkitsPhilip [00:40:55]: I would think of Dynamo as less of a box system and more of a toolkit for building with. So when we talk about doing aware routing, when we talk about doing KV offloading, when we talk about doing, PD disaggregation, Dynamo fundamentally is. By the way, Dynamo is an open source library from NVIDIA.Ali [00:41:17]: We've done a pod with KylePhilip [00:41:18]: OkayAli [00:41:19]: Kyle Cranin.Philip [00:41:19]: Cool. So then your listeners know then that it supports all the different inference frameworks. And it is multi hardware, which is interesting.Ali [00:41:28]: But it's just a router, it's not like an optimizer layer.Philip [00:41:30]: Yeah. All it does, like, what Dynamo is good at, it is a library for moving information around your cluster, around your hardware. So if you have, KV cache on one place and you need it to be somewhere else, Dynamo coordinates NIXL for you to move that around.Philip [00:41:49]: That doesn't mean that, like, out of the box, you just say, “Pip install Dynamo,” and then you get, like, a massive performance speed up. It's more of a developer toolkit.Ali [00:42:01]: Yeah. I would have said it would. It comes with a set of defaults that you can then swap out.Philip [00:42:06]: It does. If the industry at large, I think, was, like, rolling out all of these deployments, standard, then I think it would be, like, a credible baseline. But, we've got to, we've got to benchmark against, like, what we're seeing in the wild.Speculative Decoding Methods: Medusa, EAGLE, n-Gram, and Spec-SpecVibhu [00:42:23]: I did wanna talk a little bit more about PD disagg, because that is probably, like, number three after quantized and speculative decoding. In your book though, I was just gonna pull out the book.Philip [00:42:31]: Yeah.Vibhu [00:42:32]: Like section 522 on Medusa, 523 on EAGLEPhilip [00:42:35]: YeahVibhu [00:42:36]: 524 on gram.Philip [00:42:37]: It's 55, would be disaggregationAli [00:42:42]: Yeah. Well, no, I just wanted to dwell a little bitPhilip [00:42:44]: YeahAli [00:42:44]: The other. Like, so what do you choose to include? What do you choose to not to include? Because there was all these other techniques.Philip [00:42:51]: Yeah.Ali [00:42:51]: Are these still relevant? Because I think they came out, like, a year and a half ago maybe.Vibhu [00:42:55]: Medusa is quite old.Philip [00:42:56]: Yeah, Medusa's old.Ali [00:42:58]: It was old.Vibhu [00:42:58]: But is it in the book as a good, here'sPhilip [00:43:01]: BaselineVibhu [00:43:01]: Baseline vanilla understand it?Philip [00:43:02]: Like you should know this.Vibhu [00:43:03]: Like I read the paper, I'm like, “ it makes so much sense.”Philip [00:43:05]: Yeah.Philip [00:43:05]: So with the book, I had a couple goals. One was to give people just a working vocabulary for the space as a whole, and the other was to give them some intuition about how each of these techniques works. As I mentioned in my AI Engineer talk, which is the first public addendum to this, the speculation space has moved much faster than everything else. So yeah, even at the time that I wrote the book Medusa, I very much included as a way for people to understand how the space evolved rather than what the most modern technique is. And now of course, there's DFlash, dSpark. There's, there's newer techniques even than EAGLE, although EAGLE is still very commonly used.Ali [00:43:51]: SpecSpecta.Philip [00:43:52]: Yes. Speculative decoding.Vibhu [00:43:54]: What canAli [00:43:56]: Oh, it's a paper by Tri Dao and it's like, it's doing speculative decodingVibhu [00:44:00]: HuhAli [00:44:01]: For the speculative decoder.Philip [00:44:02]: Oh, in spec- oh my God.Ali [00:44:02]: It's literally just an another. It's like, yeah, that's the most simple way to explain it, and it seems like he got trivial speed ups there. But it seems that the complexity with training, it's almost like in our mind at least, it's almost as complex as training GANs. Like it's like a very delicate balance and oftentimes you, it's just but yeah, it's literally speculative decoding on speculative decoding.Vibhu [00:44:21]: Speculative.Ali [00:44:22]: Yeah. We saw this paper.Vibhu [00:44:24]: It's interesting, right?Ali [00:44:24]: Yeah.Vibhu [00:44:24]: I wouldn't even expect it to be very particular to train, I wouldAli [00:44:29]: Right.Vibhu [00:44:29]: The naive part of me is like, okay, train speculative decoder.Ali [00:44:32]: But like, and it makes sense, like the whole idea of speculative decoding is you. It's like, it's like almost like the iPhone auto predict version but for a normal model, right? Like you're just, you're just, generating three tokens and you're like, okay, I'll do prefill on them. And so you save those three turns for your original model. Now your speculative decoder is doing three turns of auto regression, so why not just have an even smaller model?Ali [00:44:53]: The other question there is what are the size of speculators? So say forPhilip [00:44:58]: Right. It's like a billion parameters.Ali [00:45:01]: Like for MiniMax, it's. Yeah. It's like one layer. It's like one 60th of the original model usually.Philip [00:45:06]: Yeah. I think we should do a paper when we get back to the office.Philip [00:45:10]: SpeculativeAli [00:45:11]: SpeculativePhilip [00:45:11]: Decoding.Ali [00:45:13]: No, it's, it does seem like how, when do you stop? But then it also seems like if you're able to train spec-spec decode for instance, right? Like if you're able to have a small model that is accurately predicts what the intermediate speculator is gonna predict, that is able to predict what the original target model's gonna predict, then why not just use that smallest model directly, right?Vibhu [00:45:34]: Yeah. This isAli [00:45:35]: Like it seems likeVibhu [00:45:35]: Adjacent to the routing problem.Ali [00:45:36]: Right.Vibhu [00:45:36]: Yeah.Ali [00:45:36]: Right.Philip [00:45:37]: The thing with speculators is one of the practical constraints on using them is that you do have to run a small model on the same hardware that you're running the big model on. There is a orchestration and resource competition problem inherent in that, and that is one of the constraints on speculation in general, is that draft tokens cost resources to create and cost software complexity to manage. And so if you have like infinitely recursive speculators, you add in quite a bit of that complexity on the actual implementation within the inference engine as well, not just in the training process.Vibhu [00:46:17]: I was gonna say, I would wonder if you could do similar, like distillation and pruning of, it's the same thing, it's just a model. Can we not just distill a lot of the weights, quantize the speculator, out of my domain? The question that also comes up is, this is all for big server workloads, right? How much of this applies to, say I have this MacBook, I wanna run Gemma really efficiently. Similar problems, not the same?Local AI vs. Data Center InferencePhilip [00:46:45]: Pretty different. I talked to Selo, about this on his podcast a couple weeks ago. The difference between inference engineering for the data center and for production workloads versus inference engineering for local AI, is that we start with fundamentally like different constraints and different goals. With local AI, it's how do I fit this model onto my hardware and then make it less dumb? And with data center influence, it's how do I load this model and then make it less slow? And we care about less dumb, and they care about less slow. But the local AI inference engineering ecosystem, I think has a lot for us to learn from in the data center space. They are experts in various forms of quantization, including dynamic quantization that we just don't touch, in the pruning, in the distillation, in the, layer removal. There'Ali [00:47:42]: Layer removal matters less.Philip [00:47:43]: Yeah. There'Ali [00:47:44]: No one loves pruning really.Philip [00:47:45]: Yeah. Well, but the, but they doVibhu [00:47:46]: Which is surprising, right? But that's, that's a whole different thingPhilip [00:47:48]: Just to fit something on the laptop.Ali [00:47:50]: Right.Philip [00:47:50]: So yeah, it's a, it's an interesting, it's an interesting space. Not necessarily that like their techniques make sense for us to do in the data center, because we have different resources and different goals, but more that the process as well as the openness of that field is something to, admire.Ali [00:48:12]: Yeah. Like to your point, like, certain optimizations that would. Like for instance, Turbo Quantum Sharper, like it made such huge hype on that and we did like a whole deep dive on Twitter and like said, what is it? How does it work? Why is it good or not? And it took off and it was implemented on local devices because your memory bandwidth is so slow on like a MacBook, for instance. But try putting the same thing on like an NVIDIA GPU on a B200 Turbo quant would not be. Like, it would not be used. Like, NVIDIA - Like, NVIDIA made it clear that this is not a good optimization, and we've seen it firsthand where the overhead of doing dequantization, quantization of, in the kernel itself with turbo quant kernel, each end is much slower than the time that you save from doing the bandwidth. ‘Cause on the B200s, you have like 3.5 terabytes per second. You don't need decrease the storage that much. You don't need to do, FP4 KV cache. You don't need to use a requant. There's, there's, there's better optimizations to be made. But on Edge devices, it's extremely important, it's extremely useful. So, seems to be, like, different optimizations there, but then they're all uniquely combined with like all you wanna quantize the model, you wanna do speculative decoding, like certain common prefixes with bothPhilip [00:49:18]: Principles.Ali [00:49:19]: Yeah, exactly. Exactly. Exactly.Philip [00:49:20]: They also do a lot of work on, model parallelism, especially over, heterogeneous topology, where you have, some sparks and they are wired together with, Ethernet, DGX sparks.Ali [00:49:35]: Yeah, this is the Exo Labs guys.Philip [00:49:36]: Yeah. You have, a nu

In this episode Andrea Samadi explores Phase Three of the Brain's Operating System — how movement acts as the essential input that activates the brain, sharpens attention, boosts learning, and improves social and emotional readiness. Drawing on Dr. John Ratey's insights and related neuroscience research, she explains the chain reaction from exercise to brain activation, learning, and adaptation. The episode also emphasizes the vital role of recovery in consolidating gains so movement leads to lasting performance improvements, and invites listeners to adopt movement as a daily catalyst for clearer thinking, better learning, and greater resilience. Dr. John Ratey and The Movement Loop On this episode 404, we will: Explore where Dr. John Ratey's groundbreaking research fits within the Movement Loop. Understand how movement activates the brain and prepares us to learn. Discover why attention is the gateway to learning and performance. Connect Dr. Ratey's work with Dr. Chuck Hillman, Dr. John Medina, Kristen Holmes, and Jason Whitrock to see the bigger picture. Learn how movement becomes lasting human performance by building our capacity over time. How Movement Becomes Human Performance Welcome back to the Neuroscience Meets Social and Emotional Learning Podcast. I'm Andrea Samadi, and on this podcast, we bridge the science behind social and emotional learning, emotional intelligence, and practical neuroscience so we can create measurable improvements in well-being, achievement, productivity, and results. If you've been following along through Season 16, you'll know we've been building what I call The Brain's Operating System for Human Performance—a neuroscience-based framework that explains how movement, recovery, and adaptation work together to improve our health, learning, leadership, and performance. Over the past seven years and more than 400 episodes, I've had the privilege of interviewing neuroscientists, physicians, psychologists, educators, and high performers from around the world. As I looked across those conversations, I realized they weren't isolated ideas—they were pieces of a much larger system. I've organized that system into five interconnected phases that mirror how we grow and develop throughout life. And as we work through each of these phases, we are sharpening our saw for productivity, learning and high performance, really, with the brain and body in mind. Phase 1 is Regulation and Safety, we launched on EP 384[i] with Dr. Baland Jalal on Sleep, Safety and Curiosity. This phase is where we build the foundation by understanding the nervous system, stress, emotions, and the importance of creating internal and external safety before learning or productivity can take place. Phase 2 is Neurochemistry and Motivation, where we explore how dopamine, reward, purpose, and emotional regulation influence our choices, habits, and sustained effort. Today, we're in Phase 3: Movement, Learning, and Cognition. This is where movement becomes the catalyst that prepares the brain to pay attention, learn, adapt, and ultimately perform at a higher level. In Phase 4, we'll discover how perception and social intelligence shape the way we understand ourselves, communicate, build trust, and strengthen relationships. And finally, in Phase 5, we'll bring everything together through integration and meaning—understanding how our experiences become wisdom, resilience, purpose, and lifelong growth. Each phase builds on the one before it, because meaningful human performance isn't created in a single breakthrough—it's built one system at a time. Together, they create what I believe is the brain's operating system for human performance. If we want to improve the entire big picture of our results, we can dive deeper into these 5 phases to see what areas we could sharpen a bit. I've put the individual episodes of each phase in the show notes for a deeper dive. Today's episode is one of those foundational pieces of Phase 3. Because before we can improve performance, we first need to understand how movement changes the brain. In Episode 402[ii], we introduced The Movement Loop, built around one simple idea: Movement is the input—it's what we do. Recovery enables adaptation—it's how the brain and body grow stronger. Performance is the outcome—the results we can see, feel, and measure. Every cycle expands our capacity to learn, lead, and perform. Every movement we make sends a signal to the brain and body. That signal activates the brain— increasing blood flow, neurotransmitters, and neuroplasticity—preparing us to pay attention and learn. When movement is followed by adequate recovery, the brain and body adapt. Those adaptations become the foundation for better performance—whether that's learning more effectively, thinking more clearly, leading with greater confidence, or improving our physical health. Then, in Episode 403[iii], Dr. Chuck Hillman helped us understand why movement changes the brain. We learned that every step increases blood flow, stimulates the release of Brain-Derived Neurotrophic Factor—BDNF, often called fertilizer for the brain—and prepares the neural networks responsible for attention, learning, memory, and executive function. But understanding why movement changes the brain is only part of the story. Today's episode answers a different question: What does that actually look like in real life? How does movement change our brain? To answer that question, we're returning to one of my favorite interviews from March of 2021 with Harvard psychiatrist and bestselling author Dr. John Ratey, whose groundbreaking book Spark helped change the way millions of people think about exercise and the brain. Now, you might be wondering... "Andrea, didn't we already review Dr. Ratey's work in Episodes 375[iv] and 376[v]?" We did. But today isn't simply another review. Today we're looking at Dr. Ratey's work through an entirely new lens. When we first interviewed Dr. Ratey in 2021, I knew movement was important. But after spending the past several years interviewing experts like Dr. Chuck Hillman, Dr. John Medina, Dr. Kristen Holmes, Jason Whitrock, and hundreds of others—and measuring my own health and performance data that we'll explore throughout this season's bonus episodes—I now understand exactly where Dr. Ratey's research fits inside the Movement Loop. As I looked across all of those conversations, I realized they weren't isolated ideas. They were pieces of one much larger system. Today we're in Phase 3: Movement, Learning, and Cognition—the phase where movement becomes the catalyst for attention, learning, adaptation, and ultimately, human performance. In the coming phases, we'll discover how perception shapes our relationships, and finally how everything integrates into meaning, purpose, and lifelong growth. Today's conversation with Dr. Ratey is one of the foundational building blocks of Phase 3. Why This Matters If you've listened to this podcast for a while, you've probably heard me talk about movement as one of the few true non-negotiables in my day. Before my workday begins, I've already made time to move—not because I'm training for a race or trying to burn calories, but because I know how profoundly movement changes the way my brain performs. The research is clear. Movement prepares the brain to pay attention, learn more effectively, regulate emotions, solve problems, and perform at a higher level. I've experienced these benefits firsthand. On the days I move first, I think more clearly, I'm more productive, and I'm better equipped to handle whatever challenges the day brings. And I imagine many of you listening have experienced the same thing. Once you begin noticing how movement changes your thinking, it becomes much easier to make it a consistent part of your life. Why This Season Exists That's why my hope for Season 16 isn't simply to convince you that exercise is good for you. My goal is much bigger than that. It's to demonstrate why movement is the first step in The movement loop—and to show how every movement you make begins a chain reaction that improves learning, health, leadership, and performance. With every cycle, we don't just improve today's performance. We expand our capacity for tomorrow. As we continue exploring the Movement Loop, I hope you'll begin to see movement differently—not as another item on your to-do list, but as the input that starts an entire system of growth. Because movement isn't the goal. Movement is the beginning of everything that follows. CLIP 1: Movement Primes the Brain for Learning CLIP 1: Social Connection Reflection: Where This Fits in the Movement Loop Let's review Clip 1 with Dr. Ratey. When we listen to his clip through that lens, every sentence he shares fits into a specific step of the process. Reviewing Dr. Ratey, through the lens of The Movement Loop. Step 1: Movement — The Input Everything begins with movement. Movement is the signal we send to the brain and body that says: "It's time to wake up. It's time to adapt." Without movement, nothing else in the loop begins. As Dr. Ratey says, movement is what "turns on the thinking parts of the brain." Step 2: Brain Activation — The Brain Wakes Up This is exactly what we learned from Dr. Chuck Hillman in Episode 403[vi]. Movement immediately increases blood flow to the brain. It activates neurotransmitters. It stimulates Brain-Derived Neurotrophic Factor, or BDNF, helping create the ideal environment for learning. Dr. Hillman explained what is happening biologically. Dr. Ratey in this clip explains what we experience. You suddenly feel more alert. More awake. More ready to think. These are two perspectives describing the same process. Step 3: Attention — The Gateway to Learning This is where Dr. Ratey's words become especially powerful. He says movement helps us: stay with an idea, focus longer, evaluate information, scan our memory, and even simply stay seated long enough to think through something difficult. That isn't just better concentration. That's improved attention, and attention is the gateway to learning. Without attention, very little learning takes place. Movement prepares the brain to pay attention. At this point in the interview, he was referencing the fact that I had told him that I couldn't write podcast episodes on this topic without moving my body first. In the early days of this podcast, I found the science very difficult to understand. A couple of times I did think that this topic was over my head, and almost considered giving up. Almost, but very grateful for where the learning took me that I stuck it through. Step 4: Learning — Building New Neural Connections Once attention improves, learning becomes possible. Now the brain can: process information, make connections, strengthen memories, and solve problems more effectively. This is why Dr. Ratey says movement helps us become better learners, better thinkers, better workers, and better students. Movement isn't improving muscles first. It's improving the brain's ability to learn. Step 5: Social and Emotional Readiness One part of this interview that has become even more meaningful over time is Dr. Ratey's explanation of social connection. Exercise doesn't only improve cognition. It also changes our emotional state. We're more motivated. We regulate our emotions more effectively. We become more socially connected. Dr. Ratey explains that movement increases oxytocin—the hormone associated with bonding and trust—making us more open to connecting with others. That's important because learning has always been social. Whether we're in a classroom, at work, or with our families, our ability to connect with other people influences how well we learn, communicate, and perform. Movement prepares us socially as well as cognitively. Step 6: Recovery and Adaptation — Where Lasting Change Happens Now here's the part I didn't fully appreciate back in 2021. Everything Dr. Ratey has described prepares the brain for learning. But those immediate benefits only become lasting improvements if they're followed by recovery. Recovery is when the brain consolidates learning. It's when new neural connections are strengthened. It's when adaptation occurs. This is where Kristen Holmes' work on recovery fits perfectly into the Movement Loop. We recently reviewed our 2021 interview with Kristen Holmes on EP 390[vii] “What Gets Measured Improves: Sleep, Recovery and Strain” and it was Dr. Holmes who was (not the first person to notice I could improve my recovery scores) but was stern enough with me about how important that it was, and how I was leaving a lot off the table by not getting enough sleep/recovery to match the strain I was pushing towards each day. Movement starts the process. Recovery completes it. And together (this won't happen if one is missing) they create adaptation—the biological changes that make us stronger, healthier, and more resilient over time. The Big Takeaway When I first interviewed Dr. John Ratey in 2021, I thought he was teaching us why exercise is good for the brain. Today, after years of interviewing neuroscientists, physicians, performance experts, and educators, I see something much bigger. Dr. Ratey wasn't simply describing the benefits of exercise. He was describing the beginning of a biological process. Movement is the input. Movement activates the brain. The activated brain becomes ready to focus, learn, regulate emotions, and connect with others. Learning, when supported by recovery, leads to adaptation. Adaptation creates better performance. And every time we move through that cycle, we expand our capacity to meet tomorrow's challenges. That's the Movement Loop. It's not just a framework for understanding exercise. It's a framework for understanding how the brain changes, how we grow, and how human performance is built—one movement at a time. Review and Conclusion: The Movement Loop and Dr. Ratey To review and conclude what we've learned today. Dr. Ratey's interview wasn't simply about why exercise is good for the brain. It was about how movement begins a chain reaction that changes the way we learn, think, and perform. We discovered that: Movement is the input. Every movement sends a signal to the brain and body that it's time to change. Movement activates the brain. Blood flow increases. Neurotransmitters increase. BDNF begins preparing the brain for learning. The activated brain becomes ready. Attention improves. Executive function sharpens. Emotions become easier to regulate. We're even more prepared to connect with other people. That readiness makes learning possible. New neural pathways begin to form. The brain starts building stronger and more efficient networks. But learning doesn't end when the workout ends. Recovery allows the brain to consolidate what movement started. Recovery creates adaptation. Adaptation creates better performance. And every time we complete that cycle, we expand our capacity for whatever challenge comes next. That's the Movement Loop. This is something I've learned through years of interviewing experts, but also through measuring my own health and performance. The days I move first are always the days I think more clearly. I'm more creative with what I write as well as making connections that are important to me in my day to day life. More productive- with the entire day (family and work). More patient (with my kids and family) More present and clear. Movement doesn't solve every problem. But it prepares us to solve problems better, and increases our capacity and productivity. And that's a lesson I'll keep coming back to throughout this season. Coming Next… But there's still one important question we haven't answered. If movement activates the brain... why do some people consistently improve --while others seem to work just as hard without seeing the same results? Is it genetics? Motivation? Discipline? Or is there something happening between today's effort and tomorrow's performance? Next week, in Bonus Episode 2, we'll answer that question. We'll explore what I call The Predictable Performance System and look at years of my own recovery data to understand why recovery isn't simply the opposite of training—it's the bridge between today's habits and tomorrow's performance. Because the difference between predictable and unpredictable results... isn't luck. It's recovery. It's how we are balancing how much we push with how much we are able to rest/recover. Until next time... Keep moving. Protect your recovery. Build your capacity. And continue designing your brain's operating system for lifelong learning, health, leadership, and human performance. Thanks for joining me. I'll see you next week. RESOURCES: Clip 1 Movement and the Brain Dr. Ratey https://www.youtube.com/shorts/bbB4NzsnyQ0 Clip 1 Social Connection Dr. Ratey https://www.youtube.com/shorts/bbB4NzsnyQ0 Phase 1: Regulation & Safety The Foundation Core Question: Is the nervous system safe enough to learn? Everything begins with regulation. Before we can focus, learn, lead, or perform, the brain first asks one fundamental question: Am I safe? Throughout Phase 1, our guests showed us that regulation isn't simply about reducing stress—it's about creating the biological conditions that allow the brain to learn, adapt, and thrive. Together we explored: Baland Jalal – how sleep, curiosity, imagination, and creativity prepare the brain for learning. https://andreasamadi.podbean.com/e/hypnagogic-genius-capture-your-best-ideas-at-the-edge-of-sleep/ Dr. Bruce Perry – why regulation, rhythm, and relationships form the foundation of every healthy nervous system.  https://andreasamadi.podbean.com/e/safety-first-why-a-regulated-brain-is-the-key-to-learning/ Dr. Sui Wong – how lifestyle medicine and autonomic balance build lifelong brain resilience. https://andreasamadi.podbean.com/e/your-eyes-the-brain-s-early-warning-system/ Rohan Dixit – how heart rate variability gives us real-time feedback on our ability to regulate stress. https://andreasamadi.podbean.com/e/breathe-to-reset-how-hrv-tech-reveals-hidden-stress/ Dr. Kristen Holmes – how recovery metrics reveal our physiological readiness to perform. https://andreasamadi.podbean.com/e/kristen-holmes-from-whoopcom-on-unlocking-a-better-you-measuring-sleep-recovery-and-strain/ Dr. Antonio Zadra – how sleep and dreaming consolidate memories, regulate emotions, and generate insight. https://andreasamadi.podbean.com/e/when-brains-dream-how-sleep-integrates-emotion-insight-and-creativity/ Together these conversations taught us that sleep and stress regulation aren't optional—they're the operating system that allows every higher brain function to work. Phase 2: Motivation & Neurochemistry The Direction Core Question: What moves us into action? Once the brain feels safe, it becomes ready to pursue goals. In Phase 2, we explored the internal chemistry that transforms intention into action. Our experts helped us understand that sustainable motivation isn't about willpower—it's about aligning our beliefs, thoughts, attention, energy, and movement. Together we discovered: Bob Proctor — our beliefs determine the direction of our lives. https://andreasamadi.podbean.com/e/belief-first-the-neuroscience-of-motivation/ Dr. Carolyn Leaf — our thinking literally changes our brain chemistry. https://andreasamadi.podbean.com/e/thoughts-as-biology-how-your-mind-shapes-neurochemistry/ Dr. John Medina — attention determines what the brain encodes and remembers. https://andreasamadi.podbean.com/e/theory-of-mind-the-missing-link-between-attention-reward-and-motivation Dr. Anna Lembke- Dopamine, Motivation and Why the Brain Repeats Behavior https://andreasamadi.podbean.com/e/dopamine-nation-the-pleasure%e2%80%93pain-balance-that-drives-motivation/ Dr. Friederike Fabritius — managing our energy allows high performance to become sustainable. https://andreasamadi.podbean.com/e/fun-fear-focus-closing-the-motivation-loop/ Dr. Chuck Hillman & Paul Zientarski — movement activates the brain, preparing it to learn. https://andreasamadi.podbean.com/e/move-to-learn-how-movement-activates-the-brain-and-fuels-motivation/ By the end of Phase 2, we introduced what became The Motivation Loop, showing how beliefs influence thoughts, thoughts influence actions, actions create results, and results reinforce future beliefs. Phase 3: Movement, Learning & Human Performance The Transformation Core Question: How does movement change the brain—and how does recovery transform that change into performance? Now we're taking the next step. Phase 3 builds on everything we've learned so far. If Phase 1 created a regulated nervous system... If Phase 2 created motivation and direction... Phase 3 explains how the brain and body actually become stronger. Together we've explored this process through conversations with: Dr. Chuck Hillman & Paul Zientarski — why movement activates the brain before learning. https://andreasamadi.podbean.com/e/movement-first-how-a-20%e2%80%91minute-walk-lights-up-the-brain/ Dr. John Ratey — how exercise builds a healthier, younger brain. Dr. Kristen Holmes — why recovery determines adaptation and readiness. Dr. John Medina — how attention transforms movement into lasting learning. Jason Whitrock — how metabolism and cellular energy fuel long-term performance. WHERE WE ARE GOING NEXT Phase 4 — Connection, Emotion & Social Intelligence The Human System Core Question: How do we thrive with other people? The brain didn't evolve in isolation—it evolved through relationships. In Phase 4, we'll explore emotional intelligence, empathy, communication, trust, leadership, and psychological safety to understand how our relationships shape learning, well-being, and performance. Phase 5 — Integration & Human Performance The Complete System Core Question: How do all the systems work together? In our final phase, we'll bring everything together—regulation, motivation, movement, emotion, relationships, learning, and recovery—into one integrated framework. We'll discover how these systems work together to create measurable improvements in our well-being, achievement, leadership, productivity, and results. REFERENCES: [i] Neuroscience Meets Social and Emotional Learning Podcast EPISODE 384 https://andreasamadi.podbean.com/e/hypnagogic-genius-capture-your-best-ideas-at-the-edge-of-sleep/   [ii] Neuroscience Meets Social and Emotional Learning Podcast EPISODE 402 “Phase 3 Intro: How Movement Builds the Brain https://andreasamadi.podbean.com/e/movement-loop-how-everyday-action-rewires-your-brain-and-boosts-performance/   [iii] Neuroscience Meets Social and Emotional Learning Podcast EPISODE 403 “How movement Activates the Brain and Learning”  https://andreasamadi.podbean.com/e/movement-first-how-a-20%e2%80%91minute-walk-lights-up-the-brain/   [iv] Neuroscience Meets Social and Emotional Learning Podcast EPISODE 375 https://andreasamadi.podbean.com/e/how-exercise-primes-the-brain-insights-from-dr-john-rady/     [v] Neuroscience Meets Social and Emotional Learning Podcast EPISODE 376 https://andreasamadi.podbean.com/e/move-eat-connect-3-science-backed-keys-to-brain-health-ep-376/   [vi] Neuroscience Meets Social and Emotional Learning Podcast EPISODE 403 “How movement Activates the Brain and Learning”  https://andreasamadi.podbean.com/e/movement-first-how-a-20%e2%80%91minute-walk-lights-up-the-brain/   [vii] Neuroscience Meets Social and Emotional Learning Podcast EPISODE 390 https://andreasamadi.podbean.com/e/what-gets-measured-gets-improved-sleep-recovery-peak-performance/  

TWELVE CHIMES, IT'S MIDNIGHT, EP 16: Midnight Meditation If you need to relax, there are few strategies better than meditation. It can be especially effective with the right coach guiding you. Join us now for a Twelve Chimes Short that explores the health benefits of "Midnight Meditation." CREDITS: Writer/Producer/Director: Aimee Pavy Host: Josh Horowitz Mrs. Campbell: Beth Abdallah Meditator: Aaron Seymour Cover art photography: Bess Hamiti Additional music: Clip from the track "Affirmation" by Lee Rosevere Logo Design: Michael Dern  

Listen below or click here for full show notes Celebrating 60 Years of Star Trek at SDCC 2026 – YouTube Main Mission, Part 1 (with an appropriate sound effect) Star Trek: Strange New WorldsSeason 4, Episode 1“Valles Marineris”Written by Akiva Goldsman, Henry Alonso MyersDirected by Chris Fisher Subspace Chatter Star Trek: Voyager: Across the Unknown Unveils First DLC, Yearlong Roadmap – TREKNEWS.NET | Your daily dose of Star Trek news and opinion NickALive!: Star Trek: Voyager – Across the Unknown | Expansion Pass and Delta Chronicles DLC Out Now! | Daedalic Entertainment Star Trek: Voyager – Across the Unknown – Official Expansion Pass Trailer | GCIG 2026 – YouTube SDCC: ‘Star Trek’ Panel Confirms Season 2 of ‘Star Trek: Scout’ Animated Kids’ Series – Animation Magazine  ‘Star Trek: Starfleet Academy’ Has a Troublemaking New Alien Arriving in Season 2 ‘Star Trek: Starfleet Academy’ Season 2 Casts Ruaridh Aldington Star Trek 60th Anniversary Full San Diego Comic-Con Panel – YouTube Star Trek: Strange New World Season 4 Beams Up On Rotten Tomatoes With A Perfect Score Star Trek: The Original Voyages Exclusive Preview  In Vulcan, Alberta, Canada news… With Spock Days done for another year, things will start to slow down in Vulcan, at least as far as Trek news goes. But, here’s a local story of interest: After seven years of planning, a new seniors lodge will be built in Vulcan to replace the Peter Dawson Lodge, which was built in 1963. According to spokesperson Kelly Nelson, while the Dawson Lodge is reportedly in “really good shape,” it no longer meets current building standards. “The rooms are too small, we have inside rooms without any windows to the outside,” said Nelson, adding seniors don't want to move in until they have a room with a window. The new facility, expected to open in 2028, will have 62 affordable-housing units. Vulcan Mayor Tom Grant said Thursday the new facility will be a “win-win” for the community. New $35-million seniors’ lodge to be built in Vulcan Other Vulcan stories Alberta's new sky-high solar panel recycling fee sparks industry backlash  Vulcan County Council to vote on proposed 850-acre industrial rezoning proposal – OkotoksOnline.com – Local news, Weather, Sports, and Job Listings for Okotoks, Alberta, and area.  9 Can’t-Miss Towns In Alberta  Vulcan museum reveals contents of mystery box | Calgary Herald  Vulcan raises alarm over spike in vandalism in public spaces – HighRiverOnline.com – Local news, Weather, Sports, Free Classifieds and Job Listings for High River, AB and southern Alberta  And, in the latest news on Paramount Skydance seeking to acquire Warner Bros Discovery. UPDATED! CLICK HERE to see our ratings for Star Trek episodes, movies and now BOOKS we have discussed on the show. Ratings are compiled and maintained by Listener Diane, with our eternal thanks. Here are links to 88 additional stories.broken out by series, movies and other categories. CLASSIC TV SERIES (in order of premiere) Star Trek: The Original Series (1966 – 1969) [3 seasons] Star Trek at 60: A Bold, Surprisingly Jesuit Vision of the Future Star Trek: The Next Generation (1987 – 1994) [7 seasons] Star Trek's Greatest Writers Thought The Best Episode Would Be A Disaster Star Trek: Voyager (1995 – 2001) [7 seasons] Star Trek: Why Do The USS Voyager’s Nacelles Fold?  Star Trek: Enterprise (2001 – 2005) [4 seasons] One Star Trek: Enterprise Cast Member Thought The Mirror Episodes Were ‘Ridiculous’  STREAMING SERIES AND MOVIES (in order of premiere) Star Trek: Strange New Worlds (2022 – present) [4th season has begun, 5th/final season in post production]] Star Trek: Strange New Worlds Season 4 Will Be The End Of An Era  Strange New Worlds Season 4 Episode Titles Include an Intriguing Next Generation Reference – Reactor  STAR TREK: STRANGE NEW WORLDS Season 3 Best Moments Compilation on Paramount+  Una Sings In New ‘Star Trek Strange New Worlds' Season 4 Clip; Showrunners Talk ‘Doctor Who' And Talosians – TrekMovie.com  Preview ‘Star Trek: Strange New Worlds' Season 4 Premiere With 13 New Images & Clip For “Valles Marineris” – TrekMovie.com  Anson Mount on Captain Pike and Star Trek: Strange New Worlds season 4 | Interview – YouTube  New STAR TREK: STRANGE NEW WORLDS Season 4 Premiere Photos: “Valles Marineris” – TrekCore.com  STAR TREK: STRANGE NEW WORLDS S4 Review: Reinvigorated, And It Feels So Good  STAR TREK: STRANGE NEW WORLDS S4 Review: Reinvigorated, And It Feels So Good  ‘Star Trek: Strange New Worlds' Bosses Break Down Plan for Show's Ending – AOL  Star Trek: Strange New Worlds season 4 review: Gimmicks over character development  ‘Star Trek: Strange New Worlds' Bosses Break Down Plan for Show's Ending  ‘Star Trek: Strange New Worlds’ Season 4 Review: Back On Track | Comic Book Club  Everything we know about Star Trek: Strange New Worlds Season 4 | Virgin Media O2  ‘Star Trek: Strange New Worlds’ Fourth Season Takes Big Swings  See More New Photos from STAR TREK: STRANGE NEW WORLDS Season 4! – TrekCore.com  Star Trek: Strange New Worlds, Doctor Who Easter Egg Explained  ‘Star Trek: Strange New Worlds’ Team Talk Genres, Puppet Episode  ‘Star Trek: Strange New Worlds’ Journeys Back in Time  ‘Star Trek: Strange New Worlds” season 4 opener is a pulpy sci-fi joy packed with dinosaurs, martians, and a 5th planet where the asteroid belt should be | Space  WATCH: Anson Mount is back in charge as Captain Pike in ‘Star Trek: Strange New Worlds’ Video | The View  Star Trek: Strange New Worlds Season 4 Episode 1 recap:  “Star Trek: Strange New Worlds” Keeps Boldly Swinging in Tone in Season 4  Star Trek: Strange New Worlds Boss Confirms Final Season Plans, And It Makes Me Nervous  “Star Trek: Strange New Worlds” teases seasons 4 and 5 – YouTube  ‘Star Trek Strange New Worlds’ Season 4 Review: What Prequel Problem?  “Star Trek: Strange New Worlds” Season 4 Episode 1 Recap/Review – “Valles Marineris” – San Diego Comic-Con Unofficial Blog  ‘Star Trek': Paul Wesley Talks Beginnings of Spock & Kirk's Relationship (Exclusive) – YouTube  Star Trek’s 2 fascinating new alien species from the Strange New Worlds season 4 premiere, explained  STAR TREK: STRANGE NEW WORLDS Teases Returning Characters and Twisty Timelines in New Season 4 Trailer – TrekCore.com  Star Trek: Strange New Worlds cast reveal why Kirk and Spock still aren’t best friends in season 4  New Star Trek images tease SNW season 4’s chilling horror episode  (6) ‘Star Trek: Strange New Worlds’ Star Anson Mount Reflects On The Famed Franchise’s Legacy – YouTube  Star Trek Cast Tease Unannounced Movie Ahead of Franchise Reboot  Watch Star Trek fans react to SNW’s horror episode, which ‘is not for the faint of heart!’  Unannounced “Star Trek: United” Star Trek’s Scott Bakula is ‘not actively involved’ in an Enterprise follow-up  ‘Star Trek: United' Isn't Currently On Scott Bakula's Radar, But He's Open To Returning As President Archer – TrekMovie.com  THEATRICAL MOTION PICTURES (in order of premiere) Star Trek (2009) Film Quote of the Day: The ‘Star Trek’ Line That Offered a Timeless Lesson on Making Difficult Choices | No Film School Untitled Star Trek movie by Jonathan Goldstein & John Francis Daley [in pre-production] Paramount Is Officially Rebooting the Star Trek Franchise  New Star Trek Movie Gets First Official Details From Writers [Exclusive]  Star Trek’s First Theatrical Movie in Over 10 Years Confirms Character and Timeline Details  New ‘Star Trek’ Movie Team Officially Confirms Franchise Is Changing Direction  Next “Star Trek” Film Jumps To The Far Future – Dark Horizons  STAR TREK’s Big Screen Comeback Gets Exciting Update Froom Directors: “People Will Be Surprised” — GeekTyrant  “People Will Be Surprised”: Star Trek Movie Directors Promise Exciting Big Screen Revival, Even as TV Shows Stall – ComicBook.com  39 Years Later, The Next Star Trek Movie Will Take A Bold, Historic Risk  Star Trek’s TV Decline Is the Warning Hollywood Cannot Ignore – ComicBook.com  New Star Trek Directors Officially Reveal Plan to “Subvert With Respect” [Exclusive]  OTHER MEDIAStar Trek books, audio books 25 Years Later, Star Trek Finally Gives Voyager Fans the Series They’ve Been Waiting For  Star Trek toys/collectibles/other merchandise Star Trek fans can preorder Beyond-cool Dr. McCoy figure (but the offer ends soon)  Star Trek 60: New Books, Games & More Coming For The ‘Star Trek' 60th Anniversary  Star Trek Comics/graphic novels/magazines/web comics Stargazers: A Star Trek Story episode 7 (Redshirts review)  25 Years Later, Star Trek Is Launching The Perfect Series For Voyager Fans, And It’s Coming Tomorrow  Stargazers: A Star Trek Story episode 8 (Redshirts review)  Star Trek Just Dropped A New 40-Episode Series With Updates Every Week  David Boreanaz's 7-Season Military Drama Sets Netflix Release  Avatar Aang: The Last Airbender Gets Paramount+ Streaming Release Date  Paramount Hires One of The Best Lawyers Out There to Fight California | Cord Cutters News  MISCELLANEOUS Paramount+ / Paramount Skydance TV Costs Are Decreasing and Increasing – VideoAge International  European Commission Approves Paramount Skydance Corporation Acquisition of Warner Bros. Discovery Marking Major Milestone Towards Completion – Celluloid Junkie  Paramount agrees to delay Warner Bros. Discovery merger until June 2027 amidst multiple lawsuits  WGA Unleashes Legal Challenge Against Paramount Global-Skydance Merger: Union Warns of Reduced Output, Suppressed Wages  Paramount Agrees to Postpone Warner Bros. Merger Until After Trial  Paramount Faces Drawn-Out Battle With State AGs Paramount Skydance Corporation Announces Extension of Expiration Dates of Previously Announced Exchange Offers and Tender Offers | Paramount   Franchise-wide/Miscellaneous Every Main Star Trek Ship’s Chief Medical Officer, Ranked by Ability  5 Star Trek Episodes That Predicted The Future  Watch Star Trek character slap Spock in new SNW footage  It’s Time For Star Trek To Break A 31-Year Streak  Shatner and Takei Revisit Six Decades of ‘Star Trek'  William Shatner and George Takei Share Gratitude ‘Star Trek' Is Seen as a ‘Family Show,' 60 Years Later  Star Trek Has to Stop This Nostalgic Habit To Succeed in the Future, It’s Not Working Anymore – ComicBook.com  Star Trek Universe Updates From Comic-Con  ‘Star Trek: Strange New Worlds’ Season 4 Teaser Unveiled at Comic-Con  ‘This show was about us’: Stars align to celebrate 60 years of ‘Star Trek’ at SDCC  NickALive!: Star Trek Universe Takes Over Hall H With Special Announcements, Exclusive First Looks and a 60th Anniversary Celebration at Comic-Con International  Star Trek 60th Anniversary Panel SDCC 2026: George Takei Recap  Star Trek’s 3 Versions Of James T. Kirk Ranked  8 Best Starship Pilots in Star Trek Canon, Ranked  10 Smartest Characters In Star Trek History, Ranked  8 Best Star Trek Doctors, Ranked  How Star Trek Writing Needs To Change  Star Trek Kept Featuring A Special Seduction Dress  Actor Watch George Takei Said His Star Trek Co-Star Lied About A Painful On-Set Injury Main Mission, Part 2 (with an appropriate sound effect) Star Trek: Strange New WorldsSeason 4, Episode 2“The Griffin Incident”Written by Robbie ThompsonDirected by Axelle Carolyn End Of Show It’s about time to refill the dilithium chamber and get on out of here. Find Clinton at Comedy4Cast Find Chuck and Kreg at Technorama Podcast If you liked the show, please be sure to tell a friend about it. And subscribe, so you’ll never miss an episode. We’d love to hear from you. Follow us on BlueSky (@thetopicistrek), visit our Facebook page or call us at 816-TREKKER, that’s (816) 873-5537 Don’t put on the red shirt!

Leadership failures rarely happen overnight. More often, they begin with unseen pressures, unresolved pain, and unhealthy patterns that slowly erode a leader from the inside out. In this special compilation episode, we bring together four candid conversations with experienced church leaders who openly share the personal struggles that nearly derailed their ministries. Rather than focusing on leadership strategies or organizational systems, this episode explores the inner life of church leaders. From burnout and unprocessed grief to stress management, character formation, and radical honesty before God, don’t miss the lessons that can help you build healthier, more sustainable ministries. Use these conversations as discussion starters with your teams, asking not simply how the ministry is doing, but how the leaders themselves are doing. Unprocessed Loss Eventually Takes Its Toll Bob Riedy reflects on the burnout that brought his ministry to a halt and the painful realization that decades of accumulated loss had never been properly grieved. The death of a family member, staff transitions, declining attendance after COVID, fractured relationships, and personal shame all compounded over time because he kept pushing forward instead of processing what he had experienced. His story is a powerful reminder that even successful leaders are vulnerable when they ignore the emotional weight of ministry. Key Takeaway // Pastors experience constant loss, but simply “moving on” isn’t resilience. Healthy leaders intentionally process grief with God before it silently grows into burnout, anxiety, or shame. Listen to the Full Episode // Burnout, Breakthrough, and the Road to a Healthier Ministry with Bob Riedy (May 29, 2025) Simple Practices Build Long-Term Resilience Charles Stone shares practical neuroscience-backed habits that help leaders reduce stress and remain emotionally healthy. Rather than offering complicated solutions, he begins with something every leader can practice immediately: intentional breathing. By slowing the body’s stress response through simple breathing exercises, pastors can create space to think clearly, regulate emotions, and respond wisely during difficult seasons. Key Takeaway // Resilience isn’t built during a crisis. It’s developed through consistent daily practices. Simple rhythms like intentional breathing can help pastors lower stress before it becomes overwhelming. Listen to the Full Episode // Leading Through Stress Without Burning Out with Charles Stone (July 3, 2025) Crisis Reveals Character Allen Holmes explains that gifted leaders often reach a defining crossroads when crisis exposes weaknesses beneath their talent and experience. Every leader eventually faces a moment when they must decide whether to hide behind their abilities or allow God to shape their character through hardship. Churches that embrace this perspective create cultures where leaders remain, grow, and mature instead of running from difficult seasons. Key Takeaway // Leadership development isn’t primarily about improving skills. Rather, it’s about allowing God to form character. Crisis often becomes the catalyst that moves leaders toward deeper maturity and lasting influence. Listen to the Full Episode // Why Gifted Leaders Still Fail: Lessons from 25 Years of Ministry with Allen Holmes (March 5, 2026) Honesty Before God Leads to Healing Scott Landry vulnerably recounts one of the darkest moments of his life after personal failure left him isolated, angry, and questioning God. Rather than meeting condemnation, he encountered God’s presence in the middle of his raw honesty. His story illustrates that true healing begins when leaders stop pretending, acknowledge what’s really happening inside, and allow God to meet them in their deepest pain. Key Takeaway // God doesn’t meet the version of us we project to others—He meets the person we truly are. Healing begins when leaders stop hiding and bring their deepest struggles honestly before Him. Listen to the Full Episode // Leading After You Lose Everything: Redemption, Honesty & The Fight with Scott Landry (December 18, 2025) This compilation reminds us that leadership health begins long before visible success or failure. Healthy churches are built by healthy leaders, and healthy leaders cultivate habits that address the condition of their hearts, not just the effectiveness of their ministries. Whether you’re leading through growth, challenge, or personal struggle, these conversations invite you to slow down, examine your inner life, and take intentional steps toward long-term faithfulness in ministry. Thank You for Tuning In! There are a lot of podcasts you could be tuning into today, but you chose unSeminary, and I'm grateful for that. If you enjoyed today's show, please share it by using the social media buttons you see at the left hand side of this page. Also, kindly consider taking the 60-seconds it takes to leave an honest review and rating for the podcast on iTunes, they're extremely helpful when it comes to the ranking of the show and you can bet that I read every single one of them personally! Episode Transcript Rich Birch — Hey friends, welcome to the unSeminary Podcast. So glad that you’ve decided to tune in. You know, the subtitle of our podcast is Stuff You Wish They Taught in Seminary. Rich Birch — And today I wish there was like a big underline under that word wish. I wish this conversation was a robust conversation when I was in school. Today we’re listening in on four senior leaders talking about really stuff that was going on on the inside when nobody was watching. Rich Birch — This is a good time of year for you and I as executive leaders to pull back and to think deeply about the kind of structures we’re building as an organization that really create a flourishing environment for our people. You know, we asked earlier in the year what your greatest fears were for this year and 24.8% of you indicated that staff health, structure, morale, succession were your top fear this year. And so today’s conversation, what we’re doing is listening in on four senior pastors who get really honest on the show about what was happening on the inside of them. Rich Birch — One of the churches that I was an executive pastor at, about a decade after I left, the senior leader made tragic decisions in their own personal life that ended up burning the church down, literally to the place where that organization doesn’t exist anymore. And from my understanding, actually the building is going to be demolished. Literally there’s nothing left. Rich Birch — A ministry that impacted tens of thousands of people doesn’t exist today because of the decisions of a senior leader. And so at this time of year, in the summertime, I want to challenge us to listen carefully to some leaders that have been through some horrific moments and have come out the other side more healthy. And I want us to learn from these moments and say, hey, what can we do to structure our ministry so that we can be the healthiest possible environments we can possibly be? Rich Birch — So up first, we’ve got Bob Riedy at Church of the Open Door, who hit a wall on a Sunday morning a few years ago, and he learned about ungrieved losses that took 40 years of ministry to see. So let’s listen in to Bob and see what you and I can learn as we think about the future. [Clip 1 Begins] Bob Riedy — I really do think that loss, and especially not properly processing and grieving loss, was a big part of what was behind all of this. In 2018, I lost my brother, my younger brother, who was really my wingman in so many ways. That was a loss that I think in some ways I’m still wrestling with. Bob Riedy — During the pandemic, we lost, pick a number, a lot of loss as far as attendance and stuff. At first, we were off for about four months, but then when we came back, people began to trickle in, and it was clear to me that we lost hundreds of people as well from our church during that time. That was probably a profound thing for me. Bob Riedy — We lost some key staff members as well during that time. We lost some friends because of the politics and some of the difficulty of that. And so I think loss was a big part of that. Bob Riedy — My counselor has really helped me a lot with that, not properly grieving loss. Terry Wardle is one who said that ministry is a series of ungrieved losses. And I found that I really wasn’t doing that good. I was shaking it off and just moving forward, shaking it off and moving forward, and not really grieving it and bringing God into it and surrendering it to Him. Bob Riedy — And I think part of what happened with that as well was I was concerned about what people thought. We were this powerhouse of a church, growing like crazy, and all of a sudden, like every other church, we were struggling. Bob Riedy — And I remember the day that I burned out. That afternoon my children all came to our apartment. My wife and I were living downtown, and my daughter reminded me of this the other day. And she said, Dad, do you know what you said to me that day? And I said, no. She said, Dad, you said to me, what are people going to think of me that this happened to me? Bob Riedy — And that was a loss that I wasn’t able to really properly wrap my head around. I was more concerned about how this was going to look with me as a Christian leader in our community. And then I think one of the places that the anxiety came from as well was shame. Bob Riedy — One of the things the enemy, I think, came after me with was like, you’ve been telling people here in York how to live for the last 15 years, and you let this happen to you. And wow, I wrestled with that as well. So I think that loss and worrying what people were concerned about or what they were thinking of me, and then the shame of wrestling through that as a senior pastor whose church had been top 100 churches. Bob Riedy — I taught church leadership and biblical preaching at Lancaster Bible College, and this happened to me. And so I really wrestled with just the fallout of all that. [Clip 1 Ends] Rich Birch — What are people going to think? Bob’s daughter quoting him back to him is a part of this thing I just will not shake. Ungrieved loss, it compounds. Rich Birch — Loss is a part of your role. It’s a part of my role. But what Bob learned the hard way is that shaking it off and just kind of moving on will cost you more in the long run than sitting with it and processing it. Rich Birch — Charles Stone is up next. He’s a friend, a pastor, a counselor, and did his PhD on stress while he got diagnosed with three serious conditions in the same year. And we’re going to focus on an easy kind of habit that he has installed or practiced that he has installed that I think you could use in the midst of your processing, of dealing with even those kinds of ungrieved losses. Let’s listen in on what Charles has to say today. [Clip 2 Begins] Charles Stone — Well, I kind of get thematically. One involves how we breathe. These are practices that can help us develop resilience. Charles Stone — One has to do with how we breathe. Two have to deal with our emotions. One has to do with our thinking. One has to do with contemplative practices, spiritual practices. Charles Stone — One has to do with something called certainty. One has to do with gratitude. One has to do with relationships. And one has to do with sleep. So any of those, I’m game for any of those that you feel like we ought to touch on one or two of them. Rich Birch — Well, what about maybe breathing? Why don’t we start right at the top where you started? And then, you know, we’ll scratch the surface. There’s a ton we could, obviously, we want people to pick up a copy of the book, but let me start with breathing. That might be kind of interesting. Charles Stone — Yeah. Well, actually, this ended up being the first one because it’s very easy to do. Now, I think around 75 times plus, you’ll find the word breath or breathe in the scripture. Charles Stone — And Genesis, God breathed into Adam. He became a living being. I think his early part of Acts, Jesus breathed on the early church, the Holy Spirit came. Charles Stone — And then David, the psalmist wrote, let everything that has breath praise the Lord. Now, here is the interesting neuroscience insight. Deep breathing activates a key set of nerves that come directly from my brain, just come from my spinal cord. But these are these are key nerves that they’re in pairs. Charles Stone — One of them is called the vagus nerve, comes from the word vagrant. What does a vagrant do? He wanders around. So this nerve wanders around our hollow organs, our heart, our lungs, our stomach. So there’s a lot of communication back and forth. Charles Stone — Scientists have found that deep breathing, especially on the exhale, when you exhale a little longer, it actually engages this nerve, which lowers the stress response. And here’s here’s why you practice it. I call it the sniff breath. Charles Stone — Now, the actual term is “a psychological sigh”, but here’s how it would work when you’re facing some stress. Just breathe in, you know, a little more and then breathe out through your mouth. Now on the out breath, you want to be a little longer than the in breath, doing that three or four or five times. Charles Stone — Labs all around the country found it lowers the stress response. So that is a simple, a portable tool you can take. Anybody can use anywhere. Charles Stone — So yeah. [Clip 2 Ends] Rich Birch — I love Charles. He’s such a practical leader. Listen, I’d pick one of those practices this week and really try to install it. Rich Birch — I love that he started with breath work because it’s really the easiest one to start with. You can install it today. Literally, he gave you everything you need, but maybe look at the other ones. Pick up his book, “Stress Less”. Got a bunch in there. Rich Birch — Well, coming up next, we’ve got Allen Holmes. He’s been the senior pastor at Definition Church in Greensboro for 25 years. He has watched gifted leaders crash long enough that he’s built a framework around this to understand it. Let’s listen in to what Allen has to bring to this conversation. [Clip 3 Begins] Allen Holmes — It’s interesting when I, one of the other real key moments for me is I went back to do my doctorate of ministry degree at Gordon Conwell in redemptive leadership. And so much of what we were studying is how God works in the crisis, in these pressure moments to expose the unfinished places in our character so that we can grow and become more like Jesus and therefore maximize our kingdom impact in the world. Allen Holmes — And one of my professors, Dr. Powers, he actually wrote a book called Redemptive Leadership. It’s a simple little book, but profound, where he describes leadership development in five stages. And stage one is a skilled leader where you get a leadership role just based on your skill. So maybe the ability to preach. And so they call you to be the pastor. Allen Holmes — That’s how I became the pastor of my first church. I could preach. I hadn’t done anything else, but they let me be a pastor because I could preach. Allen Holmes — And then the second stage is a principal leader where you begin to understand why you do what you do. But the third stage, which is so important, is the character stage. And in order for a leader to go through the character stage, God always uses a crisis to bring him into that stage. But when he comes into that stage, he has a choice. In that stage, he can open his heart and allow God to do that deeper work, or he can go back and hide behind his skills and principle. Allen Holmes — And that’s what pastors do. A lot of times the reason you see this turnover every, you know, depending on what statistic you read, every two to four years, pastors are leaving churches is because they come into a church and they have this honeymoon season. And then all of a sudden there’s a crisis that exposes some things and they start floating their resume and hiding behind their skill rather than allowing God to deal with their character so that they can advance and become a transformative, redemptive leader. Allen Holmes — So I think one of the things that’s been so true for us is we’ve just tried to say to people when there’s a crisis, don’t panic, don’t run away. See it as an opportunity. Allen Holmes — In fact, I ended up doing my dissertation on the idea that if we could teach this model to leaders, that it would cause them to respond differently in the crisis instead of running from it, they would run to it and open their heart. And God could use that to really propel them into their redemptive future. And the research said that was true. Allen Holmes — And so we’ve tried to really work that in our culture to understand when something goes wrong, don’t run away and don’t hide. Let’s run into it and trust God to meet us there so that this thing God works redemptively to use it for your benefit and to launch you into your future. Allen Holmes — And because that’s been our culture, people have stuck around. I mean, my lead team, Rick has been here 25 years. He was he’s actually here two Sundays longer than I’ve been here. Eric’s been here 24 years. Jonathan’s been here 19 years. Chelsea’s been here almost this year will be 14 years. Steve’s been here 10 years. Allen Holmes — I mean, so they’ve just been here a long, long, long time. And that but that’s why they’ve seen these moments and we’ve helped them to find God in it so that it actually works for us instead of against us. [Clip 3 Ends] Rich Birch — Allen walked us through the five stages. The third one he talked about is character. And that’s really where I think you and I, our greatest test is at. And this is where we meet our crisis. You should go back and listen to Allen’s episode. Super helpful. Rich Birch — Coming up next for our last part of the conversation today is a friend of mine, Scott Landry. He’s the senior pastor of The Bridge near Ottawa. He’s been on the podcast before. Rich Birch — Next is a clip from a book that was coming out or that has come out called “The Fight”. And it’s the moment that he lost everything and that he was alone in a house in the Northwest Territory. The reason why I wanted this on is because I think Scott models for you and models for me an open transparency with ourselves, with our people. Rich Birch — That is something that I think you and I should live with our live with and should think through. How can we be this transparent with the people around us? Heads up. This is a heavy clip and it’s worth every second of your attention to lean in and hear what Scott shares. [Clip 4 Begins] Scott Landry — I hope that’s a powerful moment in the book because it was it’s genuinely the most powerful moment in my life. And this was this was kind of at the crescendo of my my breaking point. So after my marriage and my life specifically falling apart and I kind of lived in a place of isolation. Scott Landry — I was living in the North, Canadian North, and I was yeah, I was lost. I was I was angry like I had so much anger. And it was so, yeah, I talk about in the book and I was angry and ultimately I was angry at myself, but I was also angry at God. Scott Landry — And because even after, again, making a mess of my own life, he didn’t make a mess of my life. Nobody made the mess in my life. I made the mess in my life. Scott Landry — And but then after that, I was trying to do everything right. And I was trying to do the right thing, do the right thing. And I was like, God, when are you going to start intervening on my behalf? Scott Landry — And so, you know, being the preacher that I am, I was like, I got all the Bible verses that tell me that you’re going to like now is you’re going to do the redemptive thing. You’re going to show up. You’re going to move. Scott Landry — You’re going to fix. You’re going to redeem. You’re going to restore. Scott Landry — You’re going to repair. You can do all the R words. And and nothing was happening like it was like and it was almost as if I and I literally heard nothing. And I’d like to say I didn’t feel anything, but I did. Scott Landry — It was just this this anger that was welling up inside of me like a like a pot boiling and eventually it just I just became unhinged. Like I was alone and I was completely isolated. I was in this empty house and I just started crying out like and yelling out and I threw through things. Scott Landry — I I used words I’ve I’m ashamed to admit I used. Like I mean, I was as unhinged as could possibly. I was like, I God, if I saw you face to face, I would give you the…like I told him all this stuff. Scott Landry — And and what I found in that moment was like and I again, I talk about in the book, but like I yelled, God, I don’t even believe in you anymore. I’m done. Like I like I don’t I don’t believe. You’ve promised me that you would never leave me. You would never forsake me. And that’s exactly what you’ve done. I’ve told people that you would never leave them and forsake them. And yet you’ve done that to me. You are you are dead to me. I don’t believe in you anymore. Scott Landry — And I even now I still feel this and I’m just talking about it. But like this is and this is I know some people are going to roll their eyes at this. But like genuinely, when I heard myself say that, I felt this…like over me, over my house. It was like this eerie like pause. Scott Landry — And I heard if I’ve ever heard the voice of God, I heard a voice say, well, then who are you yelling at? And it was like this, like… Rich Birch — Beautiful. Scott Landry — And in that moment, it was like my anger was it wasn’t my degree. It wasn’t my Bible. It was it was my anger was my evidence that God was present right then and right there. And because my anger was directed at him. Scott Landry — And he knew that I was angry with him and he met me at the place of my anger and he was waiting. And this is the part that I still, I can’t do this, what’s in my head and in my heart justice. But it was God was saying, I’ve been waiting for you at this place your whole life. Rich Birch — Wow. Scott Landry — You you have been hiding from this anger from your childhood, from your young adulthood. And I’ve been waiting for you to meet me here at your anger. And I’ve I’ve wanted you to know that I would be here waiting for you. Scott Landry — And if you met me on the top of the tallest mountain and if you look me face to face and if you were to give me the finger, you would find me there waiting because I am waiting at who you really are, not who you’re pretending to be. Scott Landry — And everyone around you, you’ve got them fooled. And you’re a used car salesman and you can spin the Bible verses and you can do all that other stuff. But I know who you really are. And I’m waiting for you to finally be honest with yourself about who you really are. Scott Landry — And now that you finally are, now we can do something about that together. And that was the moment that God truly revealed himself to me. And that’s when I, for the first time in my life, truly discovered who I was. Scott Landry — And yeah, that’s the moment that I hope anybody who ever meets me or talks to me or listens to me or reads it, like that’s the part that I long for people to have before it costs them, like it cost me. [Clip 4 Ends] Rich Birch — I love that moment when Scott said he heard, who are you yelling at? Man, that sticks with you. Rich Birch — Listen, four different stories. What I’m trying to do is raise for you the question about the inner life of what’s going on at your church with the senior leaders around you. Rich Birch — What if you were to go back and look at these four conversations and maybe say, OK, this one might be the best for us to lead a conversation with, and send them one of those, send your team one of those episodes. And say, hey, I’d love for us to take some time this summer. Rich Birch — Maybe you go and relax on a back deck somewhere or jump in somebody’s boat or spend a little extra time at the office. Because there is a little bit of slack at this time of year. And ask the question, hey, what’s going on on the inside of us as leaders at the church? How are we developing and how could this conversation help us ask some different questions than we normally do in our team meetings? Rich Birch — All the links to those four conversations are down below. Thanks for sticking through this this entire conversation. I know there was a lot today, but we’ll see you next week with our regularly scheduled programs, kind of back to what we normally do here at unSeminary. Rich Birch — Thanks for being a part of the podcast. Thanks for doing what you’re doing, including the hard work of the inner life to lead your people in a way that makes a huge difference. Thanks for being engaged in the local church. Take care, friends.

Investigative journalist Mandy Matney is best known for doggedly pursuing and unraveling Alex Murdaugh's financial crimes against his 100-year-old family law firm and its clients in the low country of South Carolina. Mandy's coverage of and in-depth investigation into Murdaugh's legal dynasty family began in 2019, when a boat crash involving 19-year-old Paul Murdaugh resulted in the death of 19 -year-old Mallory Beach. Mandy's relentless reporting continued through 2021 with the murders of Maggie and Paul Murdaugh and extensive trial of former attorney Alex Murdaugh, who was eventually found guilty of their murders. However, in 2026 he was granted a new trial.    Mandy told the story via the hugely successful "Murdaugh Murders Podcast" which led to the Hulu miniseries "Murdaugh: Death in the Family", on which Mandy served as executive producer.     On 7/13/26, Judge R. Keith Kelly, Hampton County, SC, issued a contempt order against Mandy and ordered her to pay $176,500 in attorneys' fees and a fine for "wilfully" failing to appear for a deposition on March 27 2026 in the case of Beach v Parker, et al, in which she is a non-party. Of note is that the deposition did go ahead 11 days later.    In this episode, Laura and Mandy carefully examine the timeline of events, the courtroom proceedings and the wider implications-not only for Mandy, but for investigative reporting more broadly. Laura also shares her analysis of patterns of  behaviour of those who stalk and harass and how common it is for courts not to understand motivation, threats and the ‘dripping tap' power and control related intimidation tactics used by men against women.    #MandyMatney #Murdaugh #PressFreedom #InvestigativeJournalism #CrimeAnalyst #Expert #Stalking #Fixation #Obsession #Analysis #Behaviour #TrueCrime #Podcast #Crime      More from Mandy Matney and LunaShark  Support Mandy directly: Go Fund Me  LunaShark  LunaShark Premium  Links:  Youtube https://youtube.com/channel/UC6t_kdvrDw2p1F79IBnnNWQ  Instagram https://www.instagram.com/truesunlightpod  Facebook https://www.facebook.com/109188244940222  Tiktok https://tiktok.com/@lunasharkmedia    Clip   https://www.youtube.com/live/0wmHESgSHSA?si=ASJBdEm_VAvkqGKI     Sources  https://www.fitsnews.com/wp-content/uploads/2026/07/Matney-Contempt-Order-13July2026.pdf   S.C. Judge Finds Murdaugh Podcaster in Contempt of Court - FITSNews  https://www.foxnews.com/us/judge-unloads-176k-penalty-murdaugh-podcaster-mandy-matney-finding-subpoena-defiance  https://www.youtube.com/live/0wmHESgSHSA?si=slGeBV12-u6ZeV8M  www.thestate.com/news/local/crime/article277634293.html  https://qcnerve.com/james-seidel-carolina-fish-market/  TSP #156 [Part One] - A Dark Day At The House Of True Sunlight After $176,500 Contempt Sanction TSP #156 [Part Two] - Reasonable Fear of an Unreasonable Justice System: More on Mandy's $176,500 Punishment Without Process  TSP #155 [Part One] - Judge McCaslin Takes the Wheel: Murdaugh Retrial Hearing Recap  TSP #155 [Part Two] - Pink in the Courtroom: Why Greg Parker Apparently Fears Free Speech      Thank You to Crime Analyst Sponsors Who Make the Show Possible. Support The Show Through the Sponsors:  Upgrade your everyday. Go to Quince.com/CRIMEANALYST for free shipping on your order and 365-day returns. Now available in Canada and the UK, too.  Amplify your summer look with Thrive Causemetics. Go to thrivecausemetics.com/ANALYSTS for an exclusive offer of 20% off your first order.   Support Crime Analyst  If you value these conversations, please follow, rate, and review Crime Analyst wherever you listen to podcasts. Sharing episodes helps us educate more people about coercive control, stalking, domestic abuse and homicide prevention.  For exclusive episodes, live events and behind-the-scenes content, join the Crime Analyst Squad on Patreon.    Laura's Resources and Training information: www.dashriskchecklist.com    www.thelaurarichards.com     Crime Analyst YouTube, Socials and Website     YouTube @crimeanalyst      Facebook Crime Analyst Podcast     Instagram @crimeanalyst @laurarichards999     Threads @crimeanalyst     X @thecrimeanalyst @laurarichards999      TikTok @crimeanalystpod     Website www.crime-analyst.com      Leave a 5* Review https://www.crime-analyst.com/reviews/new/  Learn more about your ad choices. Visit podcastchoices.com/adchoices

What if everything you've been taught about mental toughness is wrong? Most of us think confidence comes from pushing harder, being tougher, and proving ourselves. But bestselling author and elite performance coach Jim Murphy believes the opposite. In this conversation, Jim shares why authentic confidence isn't something you force - it's something you discover when you let go of fear, ego, and the need to prove yourself.  If you're chasing a dream, navigating change, or simply wanting to live with more purpose and peace, this episode will challenge the way you think about confidence, courage, and what it really means to live with Inner Excellence.  Plus, we'll get you specific strategies to develop confidence that is authentic and allows you to do more of what you were put on the planet to do.  ___________   Have you been thinking about being a Coach or a speaker… but you've been wondering whether you have the authority to make it happen?   The Authority Archetype Assessment is a free, research-based tool designed to help you identify your unique authority style and discover whether coaching, speaking, consulting, advising, or teaching might be part of your next season.   Take the free assessment at https://mitchmatthews.com/6    ___________ In this episode, you'll discover: Why freedom - not pressure - is the foundation of peak performance Jim's three pillars of Inner Excellence: Belief, Freedom & Focus How to overcome the three biggest internal enemies: the Critic, the Monkey Mind, and the Trickster Why discomfort isn't your enemy - it's often your greatest teacher The incredible story behind A.J. Brown reading Inner Excellence during an NFL playoff game - and how it changed Jim's life overnight How to define success in a way that brings both achievement and peace ___________ Resources Get Jim's books - Inner Excellence: https://amzn.to/4vrPsww The Best Possible Life: https://amzn.to/4cr57U2  Connect with Jim at https://innerexcellence.com Clip of viral NFL moment: https://youtu.be/16Zj0Xmh2MY?si=f5BEoo6B5Uik2x4P ___________ Ready to Take Action? After you listen, ask yourself: Where in my life am I performing from pressure instead of freedom? Then choose one small step you can take this week toward becoming more fully who you were created to be. If this episode encouraged you, share it with a friend. You never know who might need this reminder today.

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We listen to Victor Davis Hanson describe the rise in Socialism and the characteristics that are associated with that theme. Psychologists make up one group that has been captured by the far left. We discussed the psychological motivations that create the political incentives for socialists and some of the experiences that Julie has had with the Psychologist organization.Clip from The Daily SignalVictor Davis Hanson: The Ungrateful Urban Class Turning Into the New Democrat Socialist PartyFollow Us:YouTubeXFacebookBlueskyAll audio & videos edited by: Jay Prescott Videography

THE SHAT-MAN! 95 year old William Shatner has decided it's time to debut his new heavy metal band at Riot Fest this year for some reason - calling on GWAR for backup. Plus Pete Hegseth wants YOUR specimen, the Blue Angels near miss at the beach, Carson and Gavin's best new finds of 2026 (so far), the ChatGPT Basketball, the G*on Palace, and more! Want to stay up to date with the podcast? Give us a follow on our social media platforms, and check out the video version of this show on YouTube in the links below! Instagram: https://www.instagram.com/ittakesallkindspodcast/ Twitter: https://twitter.com/ITAKPodcast YouTube: https://youtube.com/playlist?list=PLSQ1H-tYJrxroyz82ygvJoI9splHke-Ez 00:00 Intro 18:06 Carson wonders if he messed up... 27:05 William Shatner debuts his heavy metal band 34:29 Pete Hegseth needs your specimen 41:56 Blue Angels near miss 45:17 Best New Finds of 2026 So Far 56:51 ChatGPT Basketball 01:04:07 Clip of the Week 01:07:19 Whatcha Listening To? 01:11:51 Outro

In this episode, Laura interviews pioneering human rights lawyer and CEO of the Centre for Women's Justice, Harriet Wistrich, whose groundbreaking work has helped transform the way the justice system responds to male violence against women and girls.    Together, Laura and Harriet analyse landmark cases including John Worboys and Sally Challen, the campaign to criminalise coercive control, and the legal mechanisms used to keep dangerous offenders behind bars.     Harriet also shares the realities of fighting for systemic change through strategic litigation, the legacy of the botched investigation into serial killer Peter Sutcliffe, the role feminism has played in exposing institutional misogyny, and why behavioural patterns-not isolated incidents -must remain central to understanding male violence against women.    This is a fascinating conversation about justice, accountability, law reform, and the power of persistence in changing systems that have historically failed women.  For a deeper dive in to the John Worboys case and Harriet's successful legal challenge, listen to the Ringleader and Lifer live interview in the Crime Analyst Squad. The legal judgments and documents referenced during that discussion are also available exclusively in the episode post.    Listen to The Forgotten Victims. Laura's investigative series about serial killer Peter Sutcliffe and the botched investigation: https://www.crime-analyst.com/case-001-the-forgotten-victims/  Listen to the Joanna Simpson Case : This series examines the brutal killing of Joanna Simpson by her estranged husband Robert Brown, the shocking manslaughter verdict and planned automatic release, and the campaign led by her family, friends and Crime Analyst listeners that helped keep him behind bars.  Listen and learn about Sally Challen and the extraordinary story behind the landmark case that changed the legal landscape for victims of coercive control.  36: The Crime Analyst | Ep 36 | Deconstructing Coercive Control with Jess Hill, Part 1  Ep 261: The Unthinkable: A Story of Control, Violence and My Mother with David Challen Ep 323 Coercive Control: A Child's Unthinkable Journey with David Challen  Ep 325: Coercive Control: A Child's Unthinkable Journey with David Challen, Part 2    In This Episode  Harriet Wistrich's journey into law and women's rights advocacy   How feminism shaped her career and influenced legal reform   The legacy of Peter Sutcliffe and institutional misogyny   Understanding coercive control and why behavioural patterns matter   The campaign to criminalise coercive control   Sally Challen precedential case  The two successful legal challenges to stop the release of serial sex offender John Worboys and hold the police accountable  Strategic litigation and holding institutions accountable for failures  The future of protecting women and girls through legal reform     #HarrietWistrich #CoerciveControl #SallyChallen #JohnWorboys #PeterSutcliffe #DomesticAbuse #MaleViolence #CrimeAnalyst #Expert #Analysis #Behaviour #TrueCrime #Podcast #Crime      More from Harriet Wistrich Harriet's acclaimed book, Sister in Law: Fighting for Justice in a System Designed by Men  Centre for Women's Justice     Clip   https://youtu.be/ygyObQ7249c?si=fMZGcRHcpdtA1wQ3    Sources  DSD High Court Judgment (2014)  DSD & NBV & Others Judgment (2018)  UKSC Judgment (2018)    Support Crime Analyst  If you value these conversations, please follow, rate, and review Crime Analyst wherever you listen to podcasts. Sharing episodes helps us educate more people about coercive control, stalking, domestic abuse and homicide prevention.  For exclusive episodes, live events and behind-the-scenes content, join the Crime Analyst Squad on Patreon.    Laura's Resources and Training information: www.dashriskchecklist.com    www.thelaurarichards.com     Crime Analyst YouTube, Socials and Website     YouTube @crimeanalyst      Facebook Crime Analyst Podcast     Instagram @crimeanalyst @laurarichards999     Threads @crimeanalyst     X @thecrimeanalyst @laurarichards999      TikTok @crimeanalystpod     Website www.crime-analyst.com      Leave a 5* Review https://www.crime-analyst.com/reviews/new/   Learn more about your ad choices. Visit podcastchoices.com/adchoices

Welcome back to Season 16 of the Neuroscience Meets Social and Emotional Learning Podcast. I'm Andrea Samadi, and this is where we bridge neuroscience, social and emotional learning, and human performance so we can create measurable improvements in our well-being, achievement, leadership, productivity, and results. In this episode 403 The Movement Loop: How Movement Activates the Brain for Learning, Adaptation & Performance we will cover: ✔ Why movement is the biological input that prepares the brain for learning, adaptation, and performance. ✔ How Dr. Chuck Hillman's groundbreaking neuroscience research explains what happens inside the brain during and immediately after exercise. ✔ Why even one bout of physical activity can improve attention, executive function, and learning readiness. ✔ How Paul Zientarski translated neuroscience into practice through Naperville Central High School's internationally recognized Zero Hour PE Program. ✔ The science behind brain activation, neuroplasticity, positive stress, and cognitive reserve. ✔ Why movement isn't a break from learning—it's preparation for learning. ✔ How teachers, coaches, parents, and workplace leaders can use movement to improve focus, decision-making, creativity, and performance. ✔ How to apply the Movement Loop in everyday life using practical strategies you can begin today. ✔ Why movement is the input, adaptation is the process, and performance is the result. If you're just joining us, Season 16 explores Phase 3 of the Brain's Operating System for Human Performance—the Movement Loop. This season asks one central question: How does movement change the brain, adaptation change the body, and together create measurable improvements in performance? If you'd like the full overview of the five-phase framework, I encourage you to start with Episode 402. In Episode 402[i], we introduced Phase 3 of the Brain's Operating System for Human Performance—where we introduced The Movement Loop. We discovered one powerful idea. Movement is the input. When you move, your body sends a powerful biological signal to the brain that says: "Prepare. Activate. Adapt." Adaptation is the process. With movement, repetition, and recovery, the brain and body strengthen, rewire, and become more efficient. Performance is the output. The changes become visible in everyday life—clearer thinking, better decisions, stronger health, and improved performance. Then the loop begins again. Today we're asking the next question. Why does movement come first? Not simply because exercise is good for our bodies. But because movement is one of the most powerful biological signals we can send to the brain. Before we can focus... Before we can learn... Before we can adapt... The brain must first be activated. That's why movement isn't the outcome. It's the beginning. When we first interviewed Dr. Chuck Hillman on Episode 123[ii], (back in April 2021) I wanted to understand how his neuroscience research inspired Paul Zientarski's revolutionary Zero Hour PE Program at Naperville Central High School. It was Naperville's extraordinary performance on the Trends in International Mathematics and Science Study (TIMSS) that caught the eye of Dr. John Ratey. Naperville District 203 entered the international comparison as if it were its own "country" and ranked #1 in the world in science and #6 in the world in math. Those results made Dr. Ratey ask, "What are they doing differently?" That question ultimately led him to Naperville, (IL) where he discovered Zientarksi's Zero Hour PE initiative and made it the opening case study in  his book Spark. We will cover this story on our next episode Then years later, we revisited that conversation in Episode 397[iii] through the lens of motivation—exploring how movement increases engagement and helps us want to move more. But looking back through the lens of Phase 3, I realized I had been asking the wrong question. The bigger question isn't whether movement motivates us. The bigger question is: What happens inside the brain the moment we begin to move? That's the question we're answering today. And it's the reason movement sits at the beginning of the Brain's Operating System for Human Performance. Let's begin where every performance story begins... with movement. As we begin Phase 3, Dr. Chuck Hillman's research helps us understand why movement is the first step in the Movement Loop. In our interview, he mentioned that his lab has consistently demonstrated that even a single bout of physical activity can improve attention, cognition, and academic performance. But what fascinated me most wasn't simply that exercise works. It was why it works. Listen carefully as Dr. Hillman explains how movement acts as a positive biological stressor that prepares the brain for learning. EP 403 — Clip 1 Summary Movement is the First Signal As we begin Phase 3 of the Brain's Operating System, the first question is simple: Why does movement come first? Dr. Chuck Hillman has spent his career studying how physical activity changes the brain—from childhood through older adulthood. His research doesn't just focus on exercise, but on understanding how different life experiences shape brain health across the lifespan. One insight from our conversation completely changed how I think about movement. Dr. Hillman explained that even a single session of exercise can improve attention, cognition, and academic performance in children. His team is now studying why that happens, exploring how exercise acts as a positive stressor that activates biological pathways supporting brain function. But what struck me even more was why he chose to study children in the first place. Rather than waiting until someone reaches their 60s and begins experiencing cognitive decline, his goal is to help children build a stronger brain from the very beginning—to create what he calls a cognitive reserve that may protect brain health throughout life. That idea captures exactly what Phase 3 is all about. Movement isn't simply something we do to stay fit. It's one of the earliest investments we can make in the future health and performance of our brain. ______ This is the first piece of the Movement Loop. Movement isn't valuable because we eventually become fitter. This is what many of us used to think? I can't be alone in this…I used to move for fitness alone. Until I studied the brain…and learned that: It's valuable because it immediately changes the state of the brain. Before learning improves... Before memory improves... Before performance improves... The brain has to be activated. That's exactly what movement does. Key Takeaways from Dr. Hillman There are three ideas I'd like all of us to remember from this first clip. Movement is Information The Neuroscience Every movement you make sends information throughout your nervous system. As your muscles contract, they don't just move your body—they communicate with your brain. Your heart pumps faster, blood flow increases, oxygen and glucose are delivered more efficiently, and neurons begin communicating more actively. Movement also changes your brain's neurochemistry. Exercise increases the release of neurotransmitters like dopamine, norepinephrine, and serotonin, which help regulate attention, motivation, mood, and learning. At the same time, it stimulates the production of growth factors such as brain-derived neurotrophic factor (BDNF), which supports neuroplasticity—the brain's ability to form and strengthen new neural connections. That's why I like to think of movement as sending a message to the brain: "Wake up. Pay attention. Get ready to learn." Movement isn't simply burning calories. It's providing your brain with the biological conditions it needs to perform at its best. Stress Isn't Always Harmful The Neuroscience When we hear the word stress, we usually think of chronic stress—too much cortisol, too little recovery, and the negative effects that follow. But the brain actually needs short, manageable challenges to become stronger. Exercise is an example of what's often called eustress, or positive stress. When you exercise, your body briefly increases stress hormones like cortisol and activates your sympathetic nervous system. At the same time, it stimulates beneficial signaling molecules and growth factors that help the brain adapt. Dr. Hillman's research explores how these temporary changes—including biomarkers like cortisol and salivary alpha-amylase—may help explain why even a single bout of exercise improves attention and cognition. The important point is that the stress is temporary. When it's followed by recovery, your brain and body adapt. Without recovery, stress becomes harmful. With recovery, stress becomes the signal that drives growth. That's why adaptation sits in the middle of the Movement Loop. The challenge isn't the goal. The adaptation is. Activation Comes Before Performance The Neuroscience One of the biggest misconceptions about learning is that we can simply decide to pay attention. The brain doesn't work that way. Before the prefrontal cortex—the part of the brain responsible for focus, planning, decision-making, and executive function—can perform well, it must first be activated. Movement helps create that activation. Exercise increases cerebral blood flow, raises arousal to an optimal level, and improves communication across large-scale brain networks involved in attention and cognitive control. Think of it like warming up an orchestra before a concert. Before the musicians can perform together, they first need to tune their instruments. Movement helps the brain tune itself. That's why research consistently shows improvements in attention and executive function immediately after moderate physical activity. Performance doesn't begin when you sit down to work. Performance begins the moment you prepare your brain. That's why movement sits at the beginning of the Movement Loop. One final thought Movement isn't magic. It changes the brain because it changes the brain's biology. It increases blood flow. It changes neurochemistry. It activates neural networks. It stimulates neuroplasticity. And when those changes are repeated over time—and supported by recovery—they become adaptation. That's why movement is the input. Adaptation is the process. Performance is the result. TIPS to IMPLEMENT So what can we do with this research? Here are three simple ways to put the Movement Loop into practice this week. ✅ 1. Move with purpose. Before asking your brain to perform... Prepare it. Take a 10–20 minute walk. Ride your bike. Do a short workout. Climb the stairs instead of taking the elevator. Don't think of movement as taking time away from your work. Think of it as the first step toward doing your best work. I always park my car at the back of the parking lot, not afraid add bits of movement into the day. ✅ 2. Prepare the brain before expecting learning. Whether you're a parent... A teacher... A coach... Or a leader... Create opportunities to move before asking people to think. Movement isn't a reward after learning. It's preparation before learning. I discovered this one early on with this podcast. I can't focus on this topic, without moving first. ✅ 3. Start measuring brain performance—not just physical performance. The next time you move, don't just ask: "How many calories did I burn?" Ask: Did I think more clearly today? Did I focus more easily? Did I feel more energized? Did I recover better tonight? Am I becoming more resilient? Those are the real returns on your investment. Movement for me, is at the root of each of these questions. If I lacked movement (and sometimes I can't fit it in) I'll notice it show up in one of these questions, and know how important it is to get it back on track. Final Reflection Remember... Movement is the input. It's what we do. Every step you take sends a message to your brain: "Prepare. Activate. Adapt." The more consistently you send that signal, the more opportunities your brain and body have to change. Over time, those changes become visible. You think more clearly. You learn more effectively. You recover more efficiently. You perform at a higher level. But here's the part I find most fascinating. When I look at the Movement Loop... I don't stop at Performance. I look at the final circle. Confidence. Because confidence is what keeps the loop alive. I'll be the first to say I can't always do this. Something gets in the way. It's not always easy to move. Some days we're busy. Some days we're tired. Some days we simply don't feel like it. But every time you complete the loop, you collect another piece of evidence. "I showed up." "I felt better afterward." "I handled that challenge differently." "I'm becoming stronger than I was yesterday." Those moments become evidence. Evidence builds confidence. And confidence makes it easier to begin again tomorrow. That's how lasting change happens. Not through one workout. Not through one perfect week. But by repeating the loop. Again. And again. And again. Because every movement today is an investment in the person you're becoming tomorrow. Movement is the input. Adaptation is the process. Performance is the result. And confidence is what inspires us to begin again. Clip 2 Summary Brain Activation Creates Readiness to Learn Paul Zientarski explains how Naperville Central High School achieved remarkable academic results through its Zero Hour PE Program and the use of heart rate monitoring. His work around getting students to move was inspired by Dr. Hillman's research. In this clip, Paul Zientarski describes how Dr. Chuck Hillman's research transformed physical education from something schools did for physical health into something they could use to improve learning itself. The research that ignited him showed that after just 20 minutes of walking, students demonstrated measurable increases in brain activation and performed better on cognitive tasks. For Paul, this wasn't simply evidence that exercise works. It explained why movement belongs at the beginning of the school day. Movement wasn't taking time away from learning. It was preparing the brain to learn. Looking at this through the lens of the Movement Loop, we can now see what was happening biologically. Movement activated the brain. An activated brain was better able to pay attention. Better attention improved learning. Repeated learning created adaptation. And over time, those adaptations translated into stronger academic and life performance. That's why movement is the first step in Phase 3. Key Takeaways ✔ 1. Brain activation is the bridge between movement and performance. Movement doesn't improve learning—or performance—directly. It first changes the brain into a state that's ready to focus, solve problems, make decisions, and learn. Whether you're in a classroom, on the athletic field, or leading a team at work, performance begins with brain activation. ✔ 2. Readiness comes before instruction/teaching/learning. One of Paul Zientarski's greatest insights was that not every student needed more movement. Sometimes they needed more recovery. By monitoring students' heart rates, he learned to recognize when a student was physiologically ready to learn and when the brain and body needed time to recover. That's a lesson for all of us. Teachers can observe energy before beginning a lesson. Coaches can balance challenge with recovery. Leaders can recognize when their teams need a reset before asking for peak performance. The question isn't simply, "What am I teaching?" It's, "Are people ready to learn?" ✔ 3. Small actions create lasting adaptation. One walk. One movement break. One active lesson. One walking meeting. None of these seem significant on their own. But repeated consistently, they become the biological signals that drive adaptation. Small actions, repeated often, create lasting change. ✔ 4. Performance begins long before the moment that matters. A student's success doesn't begin when they open the exam. An athlete's success doesn't begin when the whistle blows. A leader's success doesn't begin when the meeting starts. Performance begins much earlier— when we prepare the brain to perform. ✔ 5. Movement isn't a break from work. It's preparation for better work. Whether you're teaching a lesson... Coaching a team... Leading a meeting... Or solving a complex problem... Movement should be viewed as part of the performance process—not time taken away from it. Tips to Implement Prepare the brain before expecting performance. Before teaching... Before coaching... Before presenting... Before solving difficult problems... Ask one question: "Is the brain ready to perform?" Sometimes the best way to improve performance is to begin with five to ten minutes of purposeful movement. Build movement into the rhythm of the day. Instead of viewing movement as a separate activity, make it part of how you work and learn. Teachers can begin lessons with movement. Coaches can use dynamic warm-ups with a cognitive focus. Leaders can replace one seated meeting each week with a walking meeting. Movement becomes the signal that says, "It's time to focus." Balance challenge with recovery. Paul didn't simply encourage students to move more. He also recognized when they needed recovery. High performance isn't created by constant effort. It's created by alternating challenge with recovery. That's true in classrooms. It's true in sports. And it's true in the workplace. Think beyond fitness. Don't ask, "How do I fit exercise into my day?" Instead ask, "How can movement improve everything I do afterward?" That one shift changes movement from another task on your calendar... into the first step toward better thinking, better learning, better leadership, and better performance. Closing Reflection Every time we move... We send a message to the brain. "Prepare. Activate. Adapt." That's why movement isn't just something we do for our bodies. It's one of the most practical performance tools available to teachers, coaches, leaders, parents, and anyone who wants to think more clearly, learn more effectively, and perform at a higher level. Because in the end... Movement is the input. (What we do.) Adaptation is the process. (How the brain and body change.) Performance is the result. (What we're capable of becoming.) Paul Zientarski didn't change physical education at Naperville HS. He changed the purpose of physical education. Instead of asking, "How do we build fitter students?" he helped us ask, "How do we build brains that are ready to learn?" EP 403 Review and Conclusion As we review and close out this episode, I'd like to leave you with one final thought. When we first interviewed Dr. Chuck Hillman, I was fascinated by what exercise did for the brain. When we interviewed Paul Zientarski, I was inspired by how he translated that research into a school that changed lives. But looking back through the lens of Phase 3, I realize they were teaching us something even bigger. They were teaching us where human performance begins. Not with talent. Not with intelligence. Not with motivation. It begins with a biological signal. Movement. Every step you take... Every walk... Every workout... Every hike... Every time you choose to move... You're telling your brain: "Prepare. Activate. Adapt." That's the first instruction your brain receives. From there, everything else becomes possible. Movement activates the brain. An activated brain pays attention. Attention makes learning possible. Learning creates adaptation. Adaptation improves performance. And performance builds confidence. Confidence is what inspires us to move again tomorrow. That's the Movement Loop. A Personal Journey This season has become personal for me. For years, I interviewed experts and shared their research. Over the past year, I began testing these ideas (their research) in my own life. Not to become a better athlete. Not to chase perfect numbers on my wearable device (as much as I would like to have them). But to see whether the neuroscience actually showed up in everyday life. It did. The more consistently I moved... The more consistently I recovered... The more my brain and body adapted. My recovery improved. My resting heart rate dropped. My hikes became easier. My thinking became clearer. Those weren't isolated improvements. They were evidence that the Movement Loop was working. And with every small improvement... my confidence grew. Not because someone told me I was improving. Because I could see it. I could measure it. I could feel it. That confidence became more than the result of movement. It became something I began carrying into other areas of my life. Into my work. Into my relationships. Into the challenges I was willing to take on. And that's when I realized something... Confidence doesn't end the Movement Loop. It becomes the beginning of another part of the Brain's Operating System. But... that's a conversation for another episode.   Your challenge for the week So before our next episode, I'd like to leave you with a simple challenge. Don't focus on changing your life overnight. Just begin the loop. Tomorrow morning... Before work... Before studying... Before an important conversation... Move. Even if it's just for ten or twenty minutes. Then ask yourself one question: How did that movement prepare my brain today? Start paying attention. Notice your focus. Notice your energy. Notice how you think. Because once you begin looking for the changes... You'll start seeing them everywhere. Write down what you notice…because if you don't write things down, you won't remember that the change occurred.   Looking ahead In our next episode, we'll continue exploring Phase 3 with one of the pioneers in this field, Dr. John Ratey, author of Spark. If Dr. Hillman showed us that movement activates the brain... Dr. Ratey helps us understand why exercise has been called "Miracle-Gro for the brain" and how movement literally changes the brain's ability to learn, adapt, and grow. We'll continue building the Movement Loop... one step at a time.   Until next time... Remember... Movement is the input. It's what we do. Adaptation is the process. It's how the brain and body change. Performance is the result. It's the measurable improvement we experience in our thinking, learning, health, leadership, and daily lives. And perhaps most importantly... Confidence is what keeps the loop alive. Because every step you take today is building the brain you'll depend on tomorrow. By the end of this season, my hope is that we don't just understand the neuroscience of human performance—we put it into practice. That we begin moving with purpose. That we notice how our brain and body respond. That we embrace adaptation as part of the process. And that we experience measurable improvements in our thinking, learning, health, leadership, and everyday performance.   I'm Andrea Samadi, and this has been the Neuroscience Meets Social and Emotional Learning Podcast. I'll see you next time.   EP 403: How did movement prepare my brain today? EP 404: How did today's movement help my brain learn? EP 405: How did recovery help my brain adapt? EP 406: How did attention improve my performance? EP 407: How will I keep the loop going?   RESOURCES:   Full interview Dr. Chuck Hillman https://www.youtube.com/watch?v=6ip5s2iDFLE&list=PLb5Z3cA_mnKhiYc5glhacO9k9WTrSgjzW&index=88   Full interview Paul Zientarski https://www.youtube.com/watch?v=UHYNEhxkxfE   Paul Zientarski's clip https://www.youtube.com/shorts/DmtkP_licdA   REFERENCES:   [i] Neuroscience Meets Social and Emotional Learning Podcast EPISODE 402 “Phase 3 Intro: How Movement Builds the Brain https://andreasamadi.podbean.com/e/movement-loop-how-everyday-action-rewires-your-brain-and-boosts-performance/   [ii] Neuroscience Meets Social and Emotional Learning Podcast EPISODE 123 https://andreasamadi.podbean.com/e/northeastern-university-professor-chuck-hillman-phd-on-the-impact-of-exercise-on-the-brain-and-learning/   [iii] Neuroscience Meets Social and Emotional Learning Podcast EPISODE 397 https://andreasamadi.podbean.com/e/move-to-learn-how-movement-activates-the-brain-and-fuels-motivation/                                

Acht Jahre Sicherheitshalber. Vier davon unter dem Eindruck des russischen Angriffskriegs gegen die Ukraine. Ein Anlass zum Feiern ist das eigentlich nicht. Also steigen die vier Podcaster mal ins Archiv hinab, um in alten Folgen zu wühlen und den einen oder anderen Clip aus der Vergangenheit zu hören. Es geht dabei unter anderem um europäische Souveränität, die NATO und die sicherheitspolitische Debatte in Deutschland - klingt vertraut? Natürlich, das sind alles Dinge, die heute ebenso aktuell sind wie vor acht Jahren – wenn nicht aktueller. Aber hat sich der Blick auf all das im Vergleich zu vor acht Jahren stark verändert? Welche Entwicklungen wurden in den ersten Folgen des Sicherheitspod vorausgesehen, welche nicht? Wenigstens im zweiten Teil wird es dann ein ganz klein wenig heiterer: Es geht anhand von Fragen der Hörerinnen und Hörer um historische Persönlichkeiten, Filme, Musik, Karrierewege, Schokolade und Gin. Danke an dieser Stelle an alle treuen Hörerinnen und Hörer, die sich den Sicherheitshalber Podcast regelmäßig auf die Ohren packen und vielleicht sogar mit einer Spende unterstützen. Der Sicherheitspod kommt nach der Sommerpause wieder überall da hin, wo es Podcasts gibt - und aller Voraussicht nach im Herbst auch wieder live auf die Bühne. Abstieg ins Archiv: 00:05:16 Hörerfragen: 01:04:33 Mail: mail@sicherheitspod.de Web: https://sicherheitspod.de/ Shop: https://sicherheitshalbershop.myspreadshop.de/ Patreon: https://www.patreon.com/sicherheitspod Bitte beachten! Neues Spendenkonto: Sicherheitshalber Podcast IBAN DE81 1001 8000 0995 7654 77 FNOMDEB2 Finom Komplette Shownotes unter: https://sicherheitspod.de/2026/07/19/sicherheitshalber-spezial-8-geburtstag-abstieg-ins-archiv-und-hoererfragen/

Is Iran scared of Israel? It certainly seems this way based on who they have and haven't bombed this past week. Special guest Yishai Fisher sits in Jeremy's seat this week to discuss the fundamental, root level changes that Israel is experiencing. These changes will be the deciding factor that pushes everyone off the fence, forcing them to choose where they stand - with the God of Israel, or without Him. The world is not ready for what's coming, but you can be.    Jeremy is still on tour in America and we have a fun update from him at the end of the show. If you'd like to connect with Jeremy, you can find out more about his speaking arrangements by emailing support@thelandofisrael.com  If you'd like to connect with Yishai, you can reach him through his website https://BuildIsrael.com or YishaiFleisherTV   Get your Temple Mount cap here! https://israelguys.link/leather-cap-86ey3fjpv  Sign up for the Prophets of Israel Daily: https://thelandofisrael.com/prophets-of-israel Source Links: Clip of Abby Martin/Yishai Fleisher: https://x.com/YishaiFleisher/status/2077239562347126800?s=20    Clip of Nick Fuentes talking about the Arch of Titus: https://x.com/ChouaIsaac/status/2077015543400345915?s=20   Recent attacks in Gulf region https://www.aljazeera.com/news/2026/7/16/us-strikes-iran-tanker-as-tehran-hits-kuwait-jordan-whats-the-latest https://www.reuters.com/world/asia-pacific/iran-declares-strait-hormuz-closed-unauthorised-vessel-hit-2026-07-11/   New budget for building up Judea and Samaria https://www.jns.org/news/israel-news/israeli-oks-434-million-plan-for-building-developing-judea-and-samaria-towns   #israel #Israelnews #heartland #JudeaandSamaria #WestBank #Bibi #Netanyahu #Gaza #PalestinianState #Iran #YishaiFleisher   

Throwback to the old days of The Pat Cashman Show radio show – the argument is that men are better than women at sound effects. Are they? Songs in this episode: “Love Will Find You” Peter White (2010) Clip from the motion picture “Lifeboat” (1944) with Tallulah Bankhead “Total Eclipse …

Joanna Simpson was brutally killed by her estranged husband, British Airways pilot Robert Brown, just one week before their divorce was due to be finalised. Brown pre-dug a grave and hid her body in Great Windsor Park. He finally admitted killing Joanna with a claw hammer, but he was acquitted of murder and convicted of manslaughter which meant he was eligible for release after 13 years. Following years of campaigning by Joanna's mother Diana Parkes, best friend Hetti Barkworth-Nanton, Laura Richards and thousands of Crime Analyst listeners, Brown's automatic release was stopped in 2023.   He came up for parole in April 2026. In this episode, Laura interviews Hetti Barkworth-Nanton and they take you behind the Parole Board Hearing sharing new details about Brown's psychopathic behaviour and ongoing risk.   Laura analyses and discusses with Hetti the significance of the evidence considered by the panel, including the relevance of coercive control, the importance of judicial sentencing remarks, and why understanding behavioural patterns - not simply convictions - is imperative when assessing dangerousness and risk.    In this episode Laura and Hetti discuss:  The significance of the fact-finding process prior to the Parole Board Hearing.   What the panel learned about Robert Brown's behaviour and psychology from a 330 page dossier.   Why psychopathy and behavioural patterns matter in risk assessment.   The importance of coercive control when assessing risk and dangerousness.   The knife incident and why it remained significant despite no criminal conviction.   Why the original sentencing remarks became crucial evidence years later.   The difference between criminal convictions and behavioural evidence.   What "retained culpability" means and why it mattered at the Parole Board Hearing.   Lessons for professionals assessing high-risk perpetrators.   Why understanding coercive control saves lives.     This episode continues Crime Analyst's landmark series examining Joanna Simpson's murder, the campaign that prevented Robert Brown's release, and the lessons every professional -and every listener - can learn about coercive control, risk assessment and the importance of understanding dangerous behaviour before tragedy occurs.    If you haven't already listened to Laura's landmark Joanna Simpson series, start here: https://www.crime-analyst.com/case-004-joanna-simpson-a-miscarriage-of-justice/    #JoannaSimpson #HerNameWasJoSimpson #RobertBrown #BritishAirwaysKiller #CoerciveControl #Stalking #PreventMurderInSlowMotionä #WomenMatter #ChildrenMatter #DomesticAbuse #MaleViolence #CrimeAnalyst #Expert #Analysis #Behaviour #TrueCrime #Podcast #Crime #DomesticHomicide #NotAnotherJo      Clip   https://www.facebook.com/reel/1494827995475239    Sources  View the Judicial Review  Crime Analyst Episodes on Joanna Simpson's case:  Ep 105: Joanna Simpson: A Miscarriage of Justice, Part 1  Ep 107: Joanna Simpson: A Miscarriage of Justice, Part 2  Ep 110: How to Save a Life with Hetti Nanton, Part 3  Ep 111: Reflections of Joanna Simpson, Part 4  The Case of Joanna Simpson: the British Airways killer who must stay behind bars  The Case of Joanna Simpson: killer pilot Robert Brown planned every detail of killing Jo  Ep 189: The British Airways Killer to Remain in Prison: The Judicial Review, Part 5    SIGN the petition for serial domestic abusers and stalkers to be on the same register as sex offenders and ensure they are proactively assessed and monitored.    https://www.jsfoundation.org.uk/  https://refuge.org.uk/    Laura's Resources and Training information: www.dashriskchecklist.com    www.thelaurarichards.com     Crime Analyst YouTube, Socials and Website     YouTube @crimeanalyst      Facebook Crime Analyst Podcast     Instagram @crimeanalyst @laurarichards999     Threads @crimeanalyst     X @thecrimeanalyst @laurarichards999      TikTok @crimeanalystpod     Website www.crime-analyst.com      Leave a 5* Review https://www.crime-analyst.com/reviews/new/ Learn more about your ad choices. Visit podcastchoices.com/adchoices

In the history of reality TV dating shows, no "meet the parents" episode has ever reached the heights of 'Flavor of Love' season one. Pumpkin's mom blows up her TV-loving daughter's spot, Hoopz' mom makes a move on ya man Flav, New York's mom bursts onto the scene, and the simmering feud reaches its disgusting (and unforgettable) conclusion. Oh, and we find out who won Flav's heart. Thanks for listening. (Timestamps below)

The 10 Commandments Hyperlink Episode (E15) — Sometimes at the close of a series, we'll dig through the podcast archives to find clips that discuss similar ideas from a different perspective. In this 10 Commandments series, we explored how trusting in God's wisdom leads to true life and flourishing, while building lives on our own terms often leads to pain. So in this hyperlink episode, we'll listen to three clips that explore this theme further. First, Jon and Tim break down the literary structure of the stories surrounding the 10 Commandments, which highlight humanity's reluctance to wait on God's commands. Second, Jon, Tim, and former BibleProject scholar Carissa Quinn look at how the golden calf story in Exodus 32 relates to the 10 Commandments. And finally, Jon, Tim, and Carissa discuss how all of the Bible's poems, narratives, laws, and letters are wisdom for us. CHAPTERS The Literary Structure of Exodus 19-24 (0:00-11:32) Obeying God on Our Terms (11:32-31:10) Commandments in a Modern Context (31:10-47:10) REFERENCED RESOURCES Find the 10 Commandments full collection of resources here. Clip 1 is from “Testing at Mount Sinai,” episode 6 in our 2022 series, Exodus Scroll. Clip 2 is from “A God of Our Own Making,” episode 2 in our 2020 series, Character of God. Tim reads quotes from both the Talmud (sometimes referred to as the Babylonian Talmud) and Midrash Exodus Rabbah in the discussion about the golden calf of Exodus 32. Clip 3 is from “Wisdom for Life's Complexity,” episode 8 in our 2021 series, The Paradigm. Find the 10 Commandments full collection of video, podcast, and written resources here. Check out Tim's extensive collection of recommended books here. SHOW MUSIC “The Shepherd” by Lofi Sunday feat. Marc Vanparla “Just Truth” by Lofi Sunday feat. Yoni Charis BibleProject theme song by TENTS  SHOW CREDITS Production of today's episode is by Lindsey Ponder, producer, and Cooper Peltz, managing producer. Tyler Bailey and Aaron Olsen edited today's episode and provided the sound design and mix. JB Witty writes the show notes. Our host for today is Michelle Jones. Our creative director is Jon Collins, and our lead scholar is Tim Mackie. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.