Podcasts about Goal

Does your calendar reflect what you say is important to you?As the year enters its final quarter, Monica Allen challenges entrepreneurs to resist two common reactions: giving up on unfinished goals or frantically trying to accomplish everything before December. Instead, she encourages business owners to celebrate their progress, reconsider what still matters, and intentionally make room for those priorities.In this episode of Become Your Own Boss, Monica explains why goals need more than good intentions—they need a place on the calendar. She shares how she reviews goals across business, family, education, and health and turns broad ambitions into specific actions. The final months of the year can still create meaningful progress, but it starts with deciding what deserves attention now.Episode Quote: What gets scheduled gets done.Questions answeredDoes your calendar reflect what you say is important to you?Which unfinished goals should you carry into the final quarter?When is it okay to let go of a goal?How can you turn a big goal into something you can actually schedule?Why does strategic work keep getting pushed aside?How can you protect appointments with the future of your business?How can you plan an intentional final quarter around real-life commitments?Could someone identify your priorities simply by looking at your calendar?There is still time to finish something meaningful, build momentum, and enter the new year stronger. Listen to the full episode of Become Your Own Boss, subscribe so you never miss an episode, and leave a review to help more entrepreneurs discover the show.Helpful Entrepreneurial Resources from Become Your Own Boss⁠Take the SIMPLE Life AssessmentSign Up for the ⁠Level Up Living Newsletter⁠⁠KICKSTART YOUR BUSINESS PROGRAM⁠⁠⁠Monica's FREE ebook⁠⁠: 11 Essential Secrets for Small Business SuccessGet your⁠ ⁠Become Your Own Boss Planner⁠⁠Ways to reach Monica:Instagram: @becomeyourownbosspodcastEmail: monica@monicaallen.comWho is Monica?Monica Allen grew up in a small town in Georgia with her single mom, who had her at age 18, her grandmother, and her uncle. Living below the poverty line throughout her young life, Monica was determined to break the cycle. Being the first in her immediate family to attend a 4-year university, Monica worked in insurance as a benefits broker for 8 years and earned her Master's in Business Administration.Leaving to embark on her entrepreneurial journey in 2005, she is now a serial entrepreneur, owning several businesses. She is the co-founder of Zeus' Closet, stuff4GREEKS, and Deuce Equity Group.  She is the sole proprietor of Monica Allen Interiors and an Amazon Bestseller (The Fearless Entrepreneurs: Fear Less; Be More).She loves equipping aspiring entrepreneurs, side hustlers, and small business owners with tips to launch, grow, and scale their business while avoiding the many pitfalls of entrepreneurship. She believes that being surrounded by positive people, believing in yourself, and having faith in God have led to her success.

Send us Fan MailGet vidIQ Boost for an exclusive price! https://vidiq.com/podcastWant a 1 on 1 coach? https://vidiq.ink/theboost1on1Join our Discord! https://www.vidiq.com/discordWatch the video: https://youtu.be/_kUOrWhNynwEveryone asks the same question when views dip or spike: did YouTube change the algorithm? We're Travis and Dan, and we're not giving you a conspiratorial answer. We're giving you a useful one. The algorithm is always shifting because people are always shifting, but the mission stays the same year after year: keep viewers watching by recommending the next best video for them. Once you see that, the panic fades and the priorities get brutally clear.We talk through how personalised recommendations really feel from the viewer side: skipping AI-looking videos, choosing long-form over Shorts, and even living inside custom feeds can “change the algorithm” for you. Scale that across millions of users and it explains why creators swear something big changed overnight. Then we tackle the harder truth: the creators yelling “suppressed” are often ignoring fundamentals like a clean topic, a clickable title and thumbnail, and an intro that respects what the viewer came for.From there we get practical about the 2026 wave of platform updates. We unpack why live streaming can be a smart watch-hours strategy (especially if monetisation targets climb), how new mobile-first live tools and co-streaming could reshape creator habits, and what to do before you hit Go Live, including test streams and getting honest feedback. We also debate newer engagement features like hypes, gems, and GIF comments, plus when A/B testing helps versus when it turns your uploads into a confidence-killing chore.If you've been blaming the algorithm, listen all the way through, then pick one fix you can ship this week. Subscribe, share this with a creator friend who needs it, and leave a review so more YouTubers stop chasing myths and start making better videos.

Liverpool make history with the fastest Merseyside derby goal ever scored, beating Everton at Anfield for the first time, while Chelsea end Arsenal's 20-game unbeaten run in the week's biggest game. Suzi's shares a very chaotic drive listening to Chelsea vs Arsenal on 5Live, while Maisie relives a mortifying backstage confession, plus there's, as always, a full debrief on all the action from the WSL.You can email us on bigkickpod@gmail.com. We love getting your match reports and stories!And you can find us on...Instagram @bigkickenergypodTikTok: @bigkickenergy Hosted on Acast. See acast.com/privacy for more information.

WHAT IS THE MAIN GOAL OF THE BROLIGARCHS?

A couple of days ago, Marc shared the trailer for his first docuseries - and he calls it the number one highlight of his career. In this episode, he tells the whole story behind it, because the win isn't the point. The timeline is. Marc has always been open about chasing documentary narration, right down to the vision he shared on a recent episode: family movie night, pizza in the basement, and pushing play on a show his kids don't know he narrated. Putting that goal out in the open was terrifying - because public goals mean public failure if they don't come true. So he walks through the years most people never see. Signing with his agent in 2016. Starting coaching in 2020. An award-nominated demo in 2022. Then 2022, 2023, 2024 - no bookings. The doubt. The decision to start creating DocuShorts and commit to a full year no matter the metrics. The workshop he fought to get into. And finally, in 2026, the booking. The lesson isn't "look what I did." It's that you might be closer than you think - and most people quit one swing too soon. Marc breaks down how he reverse-engineered the goal step by step, and the emotional connection to the vision he believes finally shifted everything. If you've been grinding toward a goal that hasn't landed yet, this is the one to sit with. CONNECT WITH MARC SCOTT & VOPRENEUR

A full Macro Thursday triple-header ahead of Week 4. Alex Cupps breaks down three messy backfields (Chargers, Jaguars, Seahawks), goal-line roles, and makes the case to buy the Colts. Bric75 joins for LOLz with AI chatter, FanDuel CSV talk, and the reveal that Mike Tomlin built an entire city in Minecraft. Lord Reebs closes it out with matchup previews, including a Derrick Henry revenge game and a regression watch on Brock Purdy.

Vote for best international podcast: https://footballcontentawards.com/voting/Help the page and help keep us going: Join Roar+ (YouTube) https://www.youtube.com/channel/UCYHC_XP9J2t0O_Hb_A568kQ/joinJoin Roar+ (Spotify) https://creators.spotify.com/pod/profile/roarpod/subscribeOur Travel Partner: https://www.instagram.com/traveligo.ie/ Donate | https://ko-fi.com/lansdowneroadDonate to HITG: https://www.headinthegame.ie/Support the Page! https://ko-fi.com/lansdowneroadSubscribe I / @lansdowneroar Podcast I Spotify: https://spoti.fi/3aoaWTK / Apple: https://apple.co/2PLNtnRArticles and More I https://www.lansdowneroad.ieFacebook I https://www.facebook.com/profile.php?id=61588410182011Twitter I / https://x.com/lansdownerd_ie & / https://x.com/lroar_pod & https://x.com/reptrackerInsta I https://www.instagram.com/p/DVYTdD_DIE4/mFull Coverage of Heimir Hallgrímsson's press conference as he announces his Ireland squad Vote for best international podcast: https://footballcontentawards.com/voting/Help the page and help keep us going: Join Roar+ (YouTube) https://www.youtube.com/channel/UCYHC_XP9J2t0O_Hb_A568kQ/joinJoin Roar+ (Spotify) https://creators.spotify.com/pod/profile/roarpod/subscribeOur Travel Partner: https://www.instagram.com/traveligo.ie/ Donate | https://ko-fi.com/lansdowneroadDonate to HITG: https://www.headinthegame.ie/Support the Page! https://ko-fi.com/lansdowneroadSubscribe I / @lansdowneroar Podcast I Spotify: https://spoti.fi/3aoaWTK / Apple: https://apple.co/2PLNtnRArticles and More I https://www.lansdowneroad.ieFacebook I https://www.facebook.com/profile.php?id=61588410182011Twitter I / https://x.com/lansdownerd_ie & / https://x.com/lroar_pod & https://x.com/reptrackerInsta I https://www.instagram.com/p/DVYTdD_DIE4/m

Ryan Michler and Kipp Sorensen tackle five questions from the Order of Man community in this episode of Ask Me Anything. They discuss making a major career change after decades in public service, finding forgiveness after betrayal, setting boundaries while serving family and friends, navigating different faiths within a marriage, and protecting a teenage daughter without damaging the relationship. Along the way, Ryan and Kipp explore entrepreneurship, AI, service, martyrdom, grace, parenting, dating, and the importance of maintaining influence through trust rather than control.  The conversation also includes a wholesome discussion about defending the people we care about and a look at Ryan's new studio and Origin gear. SHOW HIGHLIGHTS 00:00 - New Studio, New Setup 10:50 - The Importance of Nuance 17:40 - Origin Boots and Hunting Gear 21:55 - Retirement, Risk and Entrepreneurship 35:00 - Why Retirement Isn't the Goal 39:49 - Forgiveness After Betrayal 50:59 - When Everyone Depends on You 57:00 - The Trap of Martyrdom 1:00:36 - When Spouses No Longer Share a Faith 1:08:32 - Protecting Your Daughter Without Pushing Her Away 1:14:10 - Setting Boundaries With Your Daughter's Dates 1:18:13 - Closing and Final Call to Action   Battle Planners: Pick yours up today! Order Ryan's new book, The Masculinity Manifesto. For more information on the Iron Council brotherhood. Want maximum health, wealth, relationships, and abundance in your life? Sign up for our free course, 30 Days to Battle Ready  

Award-winning columnist Dejan Kovacevic, a lifelong veteran of the Pittsburgh sports scene, delivers a 'Daily Shot' show each weekday morning, covering the Penguins! It's available bright and early, and timed to match your commute, never longer than 20 minutes! Hosted by Simplecast, an AdsWizz company. See https://pcm.adswizz.com for information about our collection and use of personal data for advertising.

Subscribe to SMS: https://www.horacioprinting.com/pages/vip-subscribe-page Watch our Unboxing video of our 2027 Planners!: https://youtu.be/g05nco2cWvo About me: I am Polly Payne, the CEO and founder of Horacio Printing. I have sold more than 60,000 Dream Planners around the world along with bible studies and journals. I now help other dreamers do the same, which is why I created Print School. Have a question? Drop it below — I read every comment. YOUR NEXT STEPS: ✨ Take My 5-Day Print Challenge: https://www.dreamprinting.co/challenge

Sometimes, people tell me that as they are trying to save their marriage, they actually feel like they are trying to earn back the love of a spouse.  They want to know if that is what it really is -- earning back the love (and even trust). The short answer is NO, that is not the goal. A slightly longer answer is that if you are working to earn back love, you are also working on building a unsustainable and not-very-healthy relationship. That is my topic for this week's Save The Marriage Podcast:  why you are NOT trying to earn back your spouse's love, why that approach is problematic, AND what to do instead. Your marriage can be saved.  But not by trying to earn back your spouse's love. Can the love return to your marriage?  Absolutely. But that doesn't mean it is the goal of the process. (Love isn't earned.  It is given.) RESOURCES Connection and Marriage Building A WE Forgiveness and Marriage Save The Marriage System

Three months ago Dwarkesh, who has been posting incredible blogs and episodes about RL, posted a framing question for his video essay on RLVR which upset a lot of Computer Use folks:We are no strangers to learning in public and are no strangers to the stress of getting things wrong when you have a big platform. However, we were at Anthropic for the Computer Use launch, there for Claude Cowork with the first big podcast on it, organized the first Computer Use track at AIE presenting the state of the art, and were close to the OpenAI-Sky Software acquisition that now powers the complete domination of computer use that Codex enjoys today. This is why we're excited to bring you today's first guest, Ari Weinstein, cofounder of Sky and now leading all the amazing CUA progress that casuals might miss:Ari explains why Computer Use is now “180 degrees different” from where it was months ago, how agents are learning to debug and recover from failures, why combining screenshots with accessibility data, the DOM, Playwright, and generated code changes the speed equation, and why the next frontier is making agents literally superhuman at using software.OpenAI clones JevIn the second half, Nikunj Handa from OpenAI's API team breaks down the new developer stack: async tool calling, mid-turn steering, WebSockets, UltraFast inference, the Decisions API, prompt caching, pre-warming, compaction, and the Agents API. Given that we were the first Jev podcast, we particularly focus on the unusually fast sprint on the Decisions API:And why it is just a Luna wrapper for now but the team is motivated and egoless enough to clone what they consider to be good patterns.We discuss:* Why OpenAI thinks Computer Use has changed dramatically in just the last few months* Dots and what changes when every agent gets its own Linux computer* Why Computer Use can now complete some tasks faster than the average human* The path from human-level to “literally superhuman” computer use* Why modern agents are much better at debugging and recovering from failure* How screenshots, accessibility trees, the DOM, Playwright, and generated JavaScript work together* App Shots and why they give models much richer context than ordinary screenshots* Why Computer Use can close the loop between writing software and testing it* Trust, permissions, and safety when agents can make payments and operate websites* Async function calling and why models no longer need to stop reasoning while tools run* Mid-turn steering, WebSockets, and the architecture behind more responsive agents* UltraFast inference and how OpenAI is pushing frontier models toward much lower latency* The rapid internal story behind the Decisions API* Why Decisions API is more than structured outputs at low latency* GPT Live, fast tool calling, and real-time computer control* How OpenAI is already using Decisions API for support classification and internal workflows* Longer prompt caching, cache pre-warming, and cache-aware applications* Server-side compaction vs manual compaction for long-running agent threads* What should live inside an Agents API versus a developer's own harness* OpenAI as an “AI cloud” and the search for higher-level primitives beyond raw model APIsAri Weinstein* Product & Engineering, Computer Use at OpenAI* X: https://x.com/AriX* LinkedIn: https://www.linkedin.com/in/weinsteinari/Nikunj Handa* Product, API at OpenAI* X: https://x.com/nikunjhanda* LinkedIn: https://www.linkedin.com/in/nikunjhanda/Timestamps00:00:00 OpenAI DevDay: Dots, GPT-6.1, Agents API, and Decisions API00:02:52 Dots and Personal Cloud Computers00:04:59 Why Computer Use Is “180 Degrees Different”00:06:04 From Sky to Self-Debugging Computer Use Agents00:09:24 How Computer Use Sees and Operates Software00:12:09 From Faster Than Humans to Superhuman Computer Use00:16:03 Agents API: Trust, Permissions, and Safety00:17:31 Computer Use for Coding, Testing, and QA00:19:14 GPT-6 APIs, Async Tool Calling, and UltraFast Inference00:23:21 The Rapid Story Behind Decisions API00:25:32 What Decisions API Is and How It Works00:30:24 What OpenAI Is Building With the New APIs00:32:23 Prompt Caching, Pre-Warming, and API Performance00:35:20 Context Compaction for Long-Running Agents00:37:13 Memory, Higher-Level APIs, and the AI CloudTranscriptIntroduction: OpenAI DevDay and the New Agent StackVibhu [00:00:00]: Okay. We're very excited to be here. Today is OpenAI DevDay. Special podcastSwyx [00:00:08]: We're the first podcast after your livestream.Vibhu [00:00:10]: First podcast. We have Ari here, who leads the product and engineering team for Computer Use agents. Before we kick in and dive deep on Computer Use, you wanna give a quick recap? What was announced? What's the quick slew of announcements you guys had today?Ari Weinstein [00:00:24]: Yeah. yeah, it was a super exciting day. we just got out of the keynote. It was really sick. there were a bunch of Computer Use announcements that I think are worth thinking about. We have, Dots, which is the new, sort of personal assistant product, and, that has some really exciting Computer Use features. There's GPT-6.1 Sol, which is this amazing new model, that I think is particularly great for Computer Use ‘cause of, sort of the cost and speed, advantages. I think, I think we shared that it's, a fifth of the cost of Astra and a seventh of the cost if you're looking at Computer Use specifically, which is really amazing. sorry, there were so many things. I'm trying to sort through it.Swyx [00:01:02]: And the API.Ari Weinstein [00:01:03]: Agents API, which now has Computer Use in it, which is really cool, ‘cause now developers can build on the same Computer Use, that is part of Codex, and ChatGPT. and then there were some demos of our existing Computer Use features, like app shots, where you can take the context of something you're doing on your computer and bring it into Codex and ChatGPT really fast. And then, like, native Computer Use on your Mac, where Roman had it taking screenshots of his app, automatically, and he could do other things on his computer while Computer Use was using his applications. so yeah, really exciting keynote.Swyx [00:01:35]: And not to mention the Decisions API.Ari Weinstein [00:01:37]: Decisions API.Swyx [00:01:38]: Off the bat, are they all the same model? Like, this is. Or the same dataset distilled to different models?Swyx [00:01:44]: Like, basically, like, is Computer Use using Decisions API, or are they, like, kinda separate?Ari Weinstein [00:01:49]: So what's really cool about the Decisions API is it, you know, it has all these new capabilities. It does inference in parallel. it doesn't have reasoning. It's a smaller model, than the ones we use for Computer Use. and so those capabilities make it really fast.Dots and Delegating Work to a Cloud ComputerSwyx [00:02:07]: Yeah.Ari Weinstein [00:02:07]: They also make it a little bit less good at doing, like, long horizon, sort of sophisticated tasks. And so I think I would say it's still an open area of research for how we, like, bring those approaches together. But, yeah, I'm really excited to see what people build with the Decisions API.Vibhu [00:02:24]: One of the interesting things is Dots now have attached personal computers.Ari Weinstein [00:02:28]: Yeah.Vibhu [00:02:28]: So it seems like they're very much more persistent. You've been using them for a while. How should people push the bounds? Like, what should people aim for? What should they try? Personally, right now I use it for a lot of customer service. LikeAri Weinstein [00:02:41]: CoolVibhu [00:02:41]: “Oh, this was wrong. I don't wanna sign in. I don't wanna authenticate.” Find whatever and just get it fixed.Ari Weinstein [00:02:45]: Yeah.Vibhu [00:02:46]: How should we push further? What should people try?Ari Weinstein [00:02:50]: Dots Are a really cool product because each Dot has access to its own Linux virtual computer in the cloud, which is different from our other products. you know, traditionally, we've have access to a browser in the cloud, or it has access to your own computer, but now you get your own entire Linux computer in the cloud. And so it can run full desktop applications, and it can also use a web browser. And so, yeah, you know, I think the powerful thing about Computer Use and the reason why I think it's so, exciting is because it makes it so that the agent can do anything you as a, as a person can do, because all the software in the world was designed for humans, and now agents can use that same software, and you can delegate to the agent. So, yeah, like, anything that you would do on a computer, you can ask a Dot to do. Yeah, I think what particularly is useful is gonna really depend on who the end user is and what- what's valuable in their life. but yeah, I would just start by thinking about, like, one of the things that you spend time on and how could you delegate those to an agent.Swyx [00:03:47]: Yeah, a lot of flight booking and shopping and honestly even, like, playing a game or whatever, right?Ari Weinstein [00:03:52]: Totally.Swyx [00:03:52]: Yeah.Ari Weinstein [00:03:53]: Yeah, I don't know. For me, something I did recently, I've been working on. I've, subscribed to a meal prep service ‘cause I was trying to, like, eat healthy, you know? And I really like this meal prep service I found because it lets me customize the meals I order to, like, a high degree of granularity. So I can say, like, “I want this many grams of chicken and this many grams of rice.” but it was so complicated. It took me two hours to do an order, and I found that I could ask Computer Use to do it for me, and it did it in 15 minutes. so I actually saved two hours. it both did it eight times faster than I could, and it saved me two hours on GPT-6.1 Sol.Swyx [00:04:32]: Yeah.Ari Weinstein [00:04:32]: So those are the kinds of tasks that I feel like, are really powerful.Swyx [00:04:36]: As a creator, I can tell you automatically, immediately, my number one use case is automating YouTube.Ari Weinstein [00:04:40]: Nice.Swyx [00:04:40]: Because, YouTube doesn't expose a lot of things via API.Ari Weinstein [00:04:43]: Yeah.Swyx [00:04:43]: And you have to just put it in a VM and just, like, run it, for, like, let's say, let's say their AB testing feature or making community posts. None of this is available by API ‘cause they hate developers.Swyx [00:04:53]: Anyway, so,Ari Weinstein [00:04:55]: I've heard that from our developer experience team too. They use it with YouTube a lot. Yeah. It's really awesome.Swyx [00:04:59]: So I wanna draw for, you know. let's say, I wanna get a little bit spicy. One of our, the leading AI podcasts, our friends, is famous for saying that Computer Use hasn't advanced in the last two years.How Computer Use Has Changed in the Last YearAri Weinstein [00:05:12]: Yeah.Swyx [00:05:13]: Which is a very interesting statement, and I think you're one of the best people in the world to talk about this, like, how have things have progressed, right?Ari Weinstein [00:05:20]: Yeah. You know, they said that a few months ago, I think, and I hope they have a different perspective now because Computer Use is, like, 180 degrees different than it was.Swyx [00:05:26]: He's a, he's a tough guy to impress.Ari Weinstein [00:05:27]: Yeah, okay. well, we're working on it.Swyx [00:05:30]: But, you know, you worked on. You've, like, basically spent your whole career working on, like, some kind of computer automation, right?Ari Weinstein [00:05:34]: Yeah.Swyx [00:05:34]: Like shortcutsAri Weinstein [00:05:35]: YeahSwyx [00:05:35]: At Apple, and then Sky, and then, and then joining OpenAI. Can you draw, like, what your through line is for, like, what is driving you and what- you, what wasn't possible back then maybeAri Weinstein [00:05:47]: Yeah.Swyx [00:05:48]: And, like, what your sort of milestones were.Vibhu [00:05:49]: I guess to add on to that as a follow-up question, what's the major change from using Codex Computer Use from, like, last weekAri Weinstein [00:05:57]: YeahVibhu [00:05:57]: Through to today? Is it model? Is it dots? Is it harness? So all the history plus what really just changed in today's announcements?Ari Weinstein [00:06:04]: Yeah. On the through line, I guess I've always been excited about automation and helping people automate tasks because then you can, like, save time in your life and focus on things that are more important to you than, like, operating a computer very intricately. And so, yeah, that was why we worked on some of those products. I was at Apple before. we made a company called Sky. we ended up joining OpenAI, which is really exciting. and I think something that wasSwyx [00:06:27]: And almost like you have to hack around Apple until Apple was like, “Fine, like, we'll just hire you and you can just work on the inside,” right? Like.Ari Weinstein [00:06:35]: It was, it was a cool place to get to work. what was really interesting looking back at Sky is we were, we were working on Computer Use there as well, and the models were so much less capable. And now the models, just in the last one year, have become extraordinarily capable at Computer Use. I think the biggest delta that I see is before they could, like, reliably start tasks, but then they would run into problems, and now they're really good at debugging. They're really good at trying again, introspecting what is and isn't working. and I think we've also brought the Computer Use the Computer Use field itself has moved forward. I think we're using more techniques. now Computer Use, often writes code. So if you actually look at it in Codex and you expand the tool calls manually, you can see that it's not just doing one action at a time. It's actually writing JavaScript code that it executes, that the computer executes to perform sometimes many actions at once, which is a great, you know, speed up and great capability. We use more accessibility, sort of multimodal interfaces. So, the model may use screenshots, it may use accessibility, it may use Playwright. it can use a lot of different mechanisms, based on the task at hand. and then, yeah, the model acceleration has been, has been just amazing. So, yeah, what's different today? I think we're making computers better all the time, so I think just, like, one day's difference, is probably a little bit less consequential than, like, even the past month or the past two months. but, yeah, I think the Computer Use in Dot is really exciting as well as, the new model that we came out with.Measuring Computer Use and Improving the HarnessVibhu [00:08:03]: On the keynote, Tejal was mentioning 7x improvements in Computer Use speed, a lot better on a few benchmarks. How do you guys think about measuring it? Computer Use is one of those things where, as you say, you know, it's improvements over time.Ari Weinstein [00:08:20]: Yeah.Vibhu [00:08:20]: Is it harness? Is it model? Is it post-training?Ari Weinstein [00:08:22]: Right.Vibhu [00:08:22]: How do you guys look at it internally about measuring how good it is, and what were the changes with the new model?Ari Weinstein [00:08:29]: We actually have a bunch of different ways of measuring it, some of which are on different permutations and configurations of the harness. It's a bit of a complicated story because, you know, our production products have, you know, some more safety checks, and, you know, those are configured differently based on the needs of the, of the task at hand. So there's a lot of ways to measure it, but I think regardless of how we measure it, we find pretty consistent gains. and those gains are, sometimes in the harness and sometimes in the model. and yeah, I was really excited by this result that GPT-6.1 is even more cost-effective for Computer Use than its baseline cost improvement as compared to Astra. It's, like, really cool to see.Swyx [00:09:10]: Yeah. I mean, one of the visuals I really liked from the livestream was that, you're sort of improving the Pareto frontier of, your, curve, and there was a lot of talking about how you're improving it together with the harness.Ari Weinstein [00:09:24]: Yeah.Swyx [00:09:24]: Can you give some examples of aha moments that you had, whether it's on, like, model driving the harness driving the model, whatever?Ari Weinstein [00:09:32]: I don't mean to repeat myself, but I think, like, introducing more modalities has been really powerful.Swyx [00:09:36]: Okay.Ari Weinstein [00:09:36]: One more specific example of that is, in the past, I think we saw a lot of Computer Use, products had to spend a lot of time, like, scrolling, you know? So it would, like, take a screenshot. It would try to do something. It would be like, “Oh, I gotta, like, scroll down to the next page of results,” and then it would take a screenshot, and then it would try to do something. It would scroll down again. And so I think, with accessibility and other. and, direct access to the DOM and other things like that, now the language model can actually see, like, an entire page or an entire application. It can write code that can do multiple steps at once. And so I think those have been probably the biggest single aha moments. There's, like, a lot of tiny ones that are less exciting in comparison, but actually we do find also that a lot of speed improvements are driven by, like, a lot of little paper cuts that we gotta go in and introspect.App Shots, Accessibility, and Better Computer ContextSwyx [00:10:21]: Yeah. A lot of really hard engineering.Ari Weinstein [00:10:23]: Yeah.Swyx [00:10:23]: I mean, app shots in general, right? Like, I think people don't quite get the difference if. because there's, like, a nice visual in Codex when itAri Weinstein [00:10:30]: YeahSwyx [00:10:30]: When you take an app shot, but they don't maybe they get the difference that, you are able to actually drive each button and you have the, you have each text, in a very optimal representation.Ari Weinstein [00:10:40]: Yeah. Exactly. Yeah. It's kind of fun actually. If you wanna be, like, really nerdy about it, you can go into Codex, take an app shot by hitting the two command keys. So you grab the content from whatever app you're working with, bring it into the, Codex or ChatGPT chat. And then the. if you click on the attachment and you click on this, like, little tiny button in the top right, you can see the raw text and you see the raw accessibility representation. And yeah, we've put a lot of work into, puttingSwyx [00:11:04]: Just dumping everything out. Yeah.Ari Weinstein [00:11:05]: Dumping it out, but also making it token-efficient, doing it efficiently. There's, like, a bit of an art to it. And, you know, it turns out that the same technology that was invented for humans, you know, who maybe have accessibility needs, who wanna use a screen reader technology, that technology is really helpful for them to be able to use computers. It's also really helpful for LLMs to be able to use computers. So that's been, like, really fun to get to work on.Vibhu [00:11:27]: For context, I feel like a lot of people don't understand app shots. They don't even know it's a feature.Ari Weinstein [00:11:30]: Yeah.Vibhu [00:11:31]: It's when you double hit command, it pulls in what looks like a screenshotAri Weinstein [00:11:34]: RightVibhu [00:11:34]: And you're like, “Oh, why have I opened up just a screenshot and thrown it in?” No, it's actually pulling all the metadata, all the code, everything.Ari Weinstein [00:11:40]: Yeah, exactly. Yeah. So it's like, you know, if you take a screenshot of a webpage that has a link- The screenshot doesn't include where the link goes. It doesn't include, you know, maybe you take a screenshot of your calendar, the ca- event ti- titles are truncated, you know? But when you take an app shot, it gives, like, the language model, like, full context about everything and, that lets it, just sort of, like, do much more.Swyx [00:12:02]: Yeah. For those who wanna see more, Jason Liu, I invited him to do a full workshop on this, at AI Engineer.Ari Weinstein [00:12:07]: Amazing.Swyx [00:12:08]: Did a great job.Vibhu [00:12:09]: I have a broader vision questionToward Superhuman Computer UseAri Weinstein [00:12:11]: YeahVibhu [00:12:11]: On Computer Use agents. So your example of take a screenshot, scroll page, take a screenshot is where we were.Ari Weinstein [00:12:17]: Right.Vibhu [00:12:17]: Today, they can automate a lot. what are the bottlenecks? Is it models? Is it harnesses? What. Where do you see it going in, like, two years? Do you see it just running for hours? How do we get there? Any predictions on where Computer Use goes?Ari Weinstein [00:12:32]: Yeah. I mean, I think what's really crazy that I think, You know, the team's accomplished over the past couple of months is that now Computer Use is, like, faster at accomplishing tasks than, like, the average human probably in most cases. and I think that the next frontier is to have Computer Use be, like, literally superhuman in its performance where it actually is as fast or faster at using software than, like, expert Computer Users like us. and I think that'll be really consequential and exciting when that happens because I think we'll be able to all of a sudden build products, that, provide just much more real-time experiences. And I think it'll also. lowering the barrier to entry of, or the activation energy, I suppose, of using Computer Use I think will make us start to default to doing certain things in agents that we've become accustomed to doing manually. And I think that's exciting also ‘cause it'll save us a ton of time. and I think there's a, you know, there are a lot of different little paper cuts and bottlenecks that are sort of standing in the way of that. I think that there's, yeah, there's things on the model side, there's things on the inference side, there's things on the harness side, there's things in the, in the representation. You know, we find that as Computer Use gets faster, we're increasingly bottlenecked by just, like, the speed of doing an operation. Like, for example, you know, a non-trivial amount of time in our benchmarks of Computer Use tasks is actually, like, let's say you're automating a task on doordash.com. Like, a lot of the time is actually waiting for doordash.com itself to load, you know?Swyx [00:14:04]: Yeah, then you just write a wait and then you execute the wait.Ari Weinstein [00:14:07]: Yeah, totally. And you wanna get. Yeah, actually, it's actually really important that you get that de- like, you want as little delay as possible between when it finally finishes loading and when you go andSwyx [00:14:16]: YeahAri Weinstein [00:14:16]: Trigger the LLM to do the next action, which is actually- itself a statistical science.Swyx [00:14:20]: Like an event-driven way maybe to do that.Ari Weinstein [00:14:22]: When possible, you want it to be event-driven.Swyx [00:14:24]: JavaScript has some load events.Ari Weinstein [00:14:25]: And JavaScript has load events for. or the web browser has load events for web navigation, but there's other types of events that actually really can't be event-driven. So there's a lot of complexityVibhu [00:14:34]: The one that comes to mind is, like, chatting with customer service.Ari Weinstein [00:14:37]: Yeah.Vibhu [00:14:37]: Replies could take 30 seconds, could take three minutes.Ari Weinstein [00:14:39]: Oh, right.Swyx [00:14:41]: I have dealt with so many bots with Codex. it's great, but I also wonder if the other side knows that they're talking to a bot ‘cause I'm, like, answering in complete sentences. Like, I'm capitalized correctly.Ari Weinstein [00:14:50]: That's hilarious.Swyx [00:14:51]: Like, I'm giving full num- full reference numbers and everything. Like, it's too. it's clearly too good. I don't care. Like Like, I'm just, like, trying to get my support case.Vibhu [00:14:58]: I've prompted it to, like, you know, “Don't pretend you're a bot. Be very annoyed human.”Vibhu [00:15:02]: Short one-liners, likeSwyx [00:15:04]: YeahVibhu [00:15:04]: Push it, do all this. I also tell it, “While you're waiting for responses, like, use subagents to research better ways to figure out what we need.”Ari Weinstein [00:15:12]: Nice.Vibhu [00:15:12]: It's just, like, human little intervention.Ari Weinstein [00:15:14]: That's awesome. I also feel like half the time it's a bot on the other end, so now youVibhu [00:15:17]: YeahAri Weinstein [00:15:17]: Got the bots talking to each other.Swyx [00:15:18]: Yeah. I will also say, you know, like, you know, one milestone of Computer Use that we are, we're at now is, you know, three, four years ago, we were scared of hooking up LLMs to the, to the web and toAri Weinstein [00:15:31]: YeahSwyx [00:15:31]: To our, to our devices. And now I'm having it configure DNS for me.Ari Weinstein [00:15:35]: Wow.Swyx [00:15:36]: I'm having it pay my bills, and, like, really, like, tens of thousands of dollars of, like, stuff I'm just sending it over and yoloing with Computer Use and, like, you know, what's the, what's the worst thing that can happen?Swyx [00:15:48]: So that- that's all, that's all really good.Building Safely With Computer Use in the Agents APIAri Weinstein [00:15:50]: Yeah.Swyx [00:15:50]: I think now that you've. you know, obviously, you also have to dogfood your own products and all these things. Now that you've sort of released this in API, what are some pitfalls or tips that you wanna tell developers, because they're about to, I guess, encounter all this, firsthand?Ari Weinstein [00:16:03]: First of all, I'm just really excited that we brought Computer Use into the Agents API. I think this is, really great because obviously a lot of developers are building applications that wanna be able to work with third-party websites and services. And so Computer Use has this universality to it. It can work with anything. So now all of a sudden, developers can build using the same Computer Use implementation that we're building on. I think there's great work to be done if you wanna build your own Computer Use harness, but it's hard. And also, we train our models on our Computer Use harness, so there is, an advantage to using the one that's in distribution for the model. There actually might be a speed and cost and accuracy advantage. So I think it's really great for people to get to build on top of that. And, yeah, you know, I think kind of to the point that you were making, like, I think we're all sort of still in the process and maybe, like, some of us are ahead of many people in the world of, like, getting comfortable with this technology and trusting it. And so I think it's incumbent on us to, sort of build that trust over time by making sure we're building things that are reliable, by building, the right kinds of safety checks, by asking for the user's consent before doing something consequential like making a payment, by, asking, you know, maybe depending on the application, making sure you're only letting it access the websites or applications that it actually needs for the task. So that's, I think, something important to think about. but yeah, I'd really encourage people to try the new Agents API, build all kinds of cool stuff on it. We'd love to hear your feed- feedback if, you know, depending on how it goes.Vibhu [00:17:31]: Have you seen any changes in the way it affects dev workflows? So one of the things with dots is, you know, you're seeing it in Slack.Ari Weinstein [00:17:38]: Yeah.Vibhu [00:17:38]: You're seeing people use voice and build. the example Roman showed of change this app and send me screenshots along the way and all this.Computer Use for Testing and Closing the Software LoopAri Weinstein [00:17:46]: Yeah.Vibhu [00:17:46]: Is anything that you're seeing there in adoption about how people are using Computer Use for coding workflows? Any tips people should take from that?Ari Weinstein [00:17:55]: One of my favorite use cases for Computer Use actually, and one that we see a lot in the wild, is Computer Use letting the agent- actually test the software that the agent has built, which is far more consequential than it sounds. Because traditionally, you know, you'd build something in Codex and then the-- and the Codex builds it for you, and then you have to test it, and you are now like QA for the agent, right? So with Computer Use, you can complete the develop-- the software development life cycle, where, the agent can build software, it can test it. So I have a lot of fun, you know, building stuff, having the agent test it. By the time it comes to me, it's already working. I have, extra fun because sometimes I'm, like, developing Computer Use itself, and so now I have a Computer Use agent that's using my Computer Use agent that's using something else. so yeah, I really, I really think this is a super powerful class of use case.Swyx [00:18:44]: I have a visual play test skill that I've developed that, really catches a lot of design issues,Ari Weinstein [00:18:49]: NiceSwyx [00:18:50]: That, you know, normally when you just look at code, you wouldn't really pick it up. it's also really good for cloning apps, though. If you're using a shitty SaaS and you wanna kill the SaaS You just clone it screen by screen by screen. and Obviously, Computer Use can completely drive everything, take screenshots, note it down, and then clone everything with Codex.Ari Weinstein [00:19:06]: That's really cool.Swyx [00:19:06]: But yeah, thanks for all your progress. I think, that isAri Weinstein [00:19:08]: AbsolutelySwyx [00:19:09]: Our time.Nikunj Handa: What's New in the OpenAI APIAri Weinstein [00:19:10]: Yeah.Swyx [00:19:10]: This is not the last that we're gonna talk.Ari Weinstein [00:19:12]: Yeah, cool. This has been really fun. Thank you guys for having me.Swyx [00:19:14]: All right.Vibhu [00:19:14]: All right. Okay, we're a strict cutoff. We're just gonna dive right in.Nikunj Handa [00:19:17]: Let's do it, yeah.Vibhu [00:19:19]: Okay, so, Nikunj, we're very excited to have you. You shipped a lot on the API side, like we justNikunj Handa [00:19:25]: YeahVibhu [00:19:25]: Talked about with Ari. You can now build with Computer Use agents. Anything you wanna highlight, the API side of changes, and introduce yourself a little and what you do?Nikunj Handa [00:19:34]: Yeah, for sure. My name is Nikunj. I lead product for the API team. Been here for roughly three years. been working on launching models. I feel like that's just been, like, a thing, constant thing throughout my time, here at OpenAI. And, with every new model, we try to, like, basically work super closely with the post-training team, the research team, to figure out what's new in it. and then we, like, expose those capabilities in the API. so that's, like, the basic way of putting it. and if you just look at, everything that's new with GPT-6, the cool new capabilities that we launched were, firstly, async function calling. so what you see with, like a lot of the things that you're seeing in, like, Codex and Dots and everything is that tool calls take so long that you don't have to, like, pause the model's execution while, the tool is running. So you could just, like, kick off a tool call, keep running, keep reasoning, and then check back in. so we launched async tool calling. We launched, like, mid-turn steering, so now you can, like, inject messages while the model is reasoning, in the middle. so as your tool call finishes, you can put in that instructions.Async Tool Calls, Mid-Turn Steering, and WebSocketsSwyx [00:20:43]: And that's also partially a model alignment capability, right?Nikunj Handa [00:20:46]: Yeah.Swyx [00:20:46]: Like, they have to train in the ability to train.Nikunj Handa [00:20:48]: Exactly, yeah. AndVibhu [00:20:49]: I feel like we've had it in the app. You could always, as it's reasoning, you could steer.Nikunj Handa [00:20:54]: Yes.Vibhu [00:20:54]: It wasn't the best. It's gotten much better.Nikunj Handa [00:20:57]: Yeah.Vibhu [00:20:57]: Excited to see how it does this in versionNikunj Handa [00:20:58]: Yeah, and I like our mainVibhu [00:20:59]: And nowNikunj Handa [00:21:00]: Goal in, our main goal in the API is to, like, put things in the API once it's trained into the harness. And so we kinda wait for that moment until it's good enough. And a lot of that is, like, actually being powered by WebSockets, which we launched, a few, I wanna say months ago. And so WebSockets just opens this, like, whole bidirectional, like, communication thing with the model. This is not, the GPT Life thing. I'm just talking about GPT-6. and you can do all these, like, async tool calling, async reasoning, injecting messages. It's a really fun API to work on. I think, like, really enjoying.Swyx [00:21:33]: Yeah. This is why we are the engineering podcast, because we get to talk about WebSockets.UltraFast and the Inference StackNikunj Handa [00:21:36]: Yeah.Swyx [00:21:37]: This also pairs very well with UltraFast, right?Nikunj Handa [00:21:39]: Oh, yeah.Swyx [00:21:39]: Like, that is now, like, I think for the first time ever available in the API.Nikunj Handa [00:21:43]: Yes.Swyx [00:21:43]: Which is, which is basically the theoretical fastest speed you can ever get, Frontier of Intelligence.Nikunj Handa [00:21:49]: Yeah. It's been so exciting to work on that project. I think, before I go into the API, the most fun part of, UltraFast has been just watching the inference team cook with Astra. Like, they're just, like, constantly having these, like, Codex agents running, trying to, like, squeeze out more performance. And, I would say, like, at least for a couple of months, a lot of it was focused on efficiency and driving the cost down, which is how we, like, were able to cut the Luna price by, like, 80%. It was, like, a lot of that was driven by, like, all the inference improvements they landed. And then now they've, like, shifted gears towards, like, how can we make this run as fast as possible? And so UltraFast has just been, like, amazing to see on a mo- on a model like Astra. Like, to go that fast has been really cool. And yeah, WebSockets is like. actually it was like the first time we launched WebSockets, it was for GPT, 5.3 Codex Spark, which was. Can't believe we named a model that, but, you know, that's what we launched it for. And obviously, it helps so much because, like, you gotta have the tool calls. you had, like, really reduced the overhead, of going back and forth with tools. And so, WebSockets is awesome for that.Swyx [00:22:57]: Yeah. it's always cute to see, like, I have my reset usage limit, and then I have my Spark usage limit that I never use.Nikunj Handa [00:23:03]: Yeah.Swyx [00:23:04]: Like, it's there if I want it.Nikunj Handa [00:23:05]: I think it's gone finally.Swyx [00:23:06]: It's gone. It's gone, yeah.Nikunj Handa [00:23:07]: I know it's gone, so.Swyx [00:23:08]: Yeah. you're slowly killing off all the, you know, theNikunj Handa [00:23:11]: The old ones, yeah.Swyx [00:23:11]: Oldies.Vibhu [00:23:11]: This is a great week. I mean, it was the first time we had Frontier Intelligence at extreme speeds.Nikunj Handa [00:23:17]: Yeah.Vibhu [00:23:18]: People really liked it.Nikunj Handa [00:23:19]: Yeah.Vibhu [00:23:19]: SoSwyx [00:23:20]: YeahVibhu [00:23:20]: First time it comes back.Swyx [00:23:21]: Yeah. for, 5.3 Spark is explicitly attributed to Cerebras. You guys are not confirming or denying that, UltraFast is related to Ce- Cerebras, but people are. I'll just say that people do care and, are wondering about it. And you have your own silicon as well. elephant in the room, decision models.Decisions API: OpenAI's Fast Decision ModelNikunj Handa [00:23:38]: Oh, yeah.Swyx [00:23:38]: Decisions API. We were the first podcast to do a big Jev, deep dive with, Diogo, and I also, you know, featured him at AI Engineer. How quickly did you see Jev and go likeNikunj Handa [00:23:49]: Oh my gosh. Yeah.Nikunj Handa [00:23:50]: Yeah. Firstly, like, huge props to Diogo and, like, the Jev team for, like, really inspiring theSwyx [00:23:55]: YesNikunj Handa [00:23:55]: Like, whole segment in the market. Like, obviously Jev comes out, everyone's, like, losing their minds over it. Our users are, like, hitting us up. But also, like, our internal teams are like, “We need, like, a much faster classification system.” We can. I don't wanna, like, get ahead of some of the dots features that are gonna comeSwyx [00:24:16]: WhooNikunj Handa [00:24:16]: But you're gonna see, like, some cool, like, really snappy, fast things built on top of the decisions API. but, you know, like, yeah. Props to Jev for, like, inspiring this whole thing. obviously a bunch of people at OpenAI get nerd sniped by that, and they're like, “How can we, like, make this work? We're not gonna, like-”Swyx [00:24:33]: Okay.Nikunj Handa [00:24:33]: “. train a new model.” ButSwyx [00:24:34]: Like, four weeks ago, this was not on the dev radar, right?Nikunj Handa [00:24:37]: No, not at all. No.Swyx [00:24:37]: Okay.Nikunj Handa [00:24:37]: This is likeSwyx [00:24:38]: WowNikunj Handa [00:24:38]: Jev-inspired and, likeSwyx [00:24:40]: I think you are officially the first one to your lab to, like, clone and, adopt this.Nikunj Handa [00:24:44]: Yeah. Yeah. I feel like, OpenAI has such a strong, like, hacker culture and, like, people are just, like, they get excited about things. And so, guy from inference, this one awesome guy from, the infra team are like, “ this is amazing. We're gonna, like, hack on it.” They build a prototype, it, like, works, and now we- we are just, like, hill climbing on latency and trying to make this as fast as possible, and we wanna, like, launch it in the coming days. so as soon as we hit our, like, latency target, we'll try to get this out.Vibhu [00:25:13]: It's interesting. At the same time of hacker culture, you also, as Sam said, like 99%, one of the most reliable APIs withNikunj Handa [00:25:20]: Mm-hmmVibhu [00:25:20]: I think probably the most usage, which is your team directly. how should people see decisions API? I feel like a lot of people saw Jev, heard the buzz, haven't built with it. You're making it very mainstream.What Decision Models Are Good ForNikunj Handa [00:25:32]: Mm-hmm.Vibhu [00:25:33]: What should people see it as? How should they use it?Nikunj Handa [00:25:36]: Yeah. I think the main use cases we've seen is, like, really fast classification. all the Computer Use demos have been amazing and really cool. I think there will be limitations, of course, in terms of, you know, having Astra, like, write, like, a JavaScript-like script to control your computer, versus having Luna pick, like, one action at a time. I think, it's not gonna be at the same intelligence level, but, like, maybe there's some Computer Use tasks that this is good enough for. So excited to see that come through. the other cool prototype I've seen internally is people hooking it up with GPT Live. So GPT Live is like, you know, our bidirectional, like, real-time,Swyx [00:26:14]: VoicingNikunj Handa [00:26:14]: A- API. And, it's built on this, like, model of front-end models and back-end models. So GPT Live is this, likeSwyx [00:26:20]: Think or talkerNikunj Handa [00:26:21]: Super fast. Yeah, think or, talker thing. So GPT Live is the talker, super fast, really good at delegation, and you have something like Astra sitting at the ba- at the back. But tool calling has always felt, like, really slow in GPT Live. and so people have been, like, putting together these, like, tool calling demos of GPT Live controlling a computer, and it just feels like so much more snappy and natural. So I'm, like, kinda excited to see, like, what people do with Live and with Luna on decisions API. so that'll be pretty exciting. Yeah.Swyx [00:26:55]: So I wanna iron this out for people, especially from the product side, because a lot of people have been putting out Jev clones. There's been about 100 in the last two weeks.What Makes a Decision Model DifferentNikunj Handa [00:27:01]: Oh, really? That's amazing.Vibhu [00:27:03]: The first couple days.Swyx [00:27:04]: But like, it. Like, they can clone a Jev API, which is honestly structured outputsNikunj Handa [00:27:09]: YeahSwyx [00:27:09]: Which OpenAI was first to.Nikunj Handa [00:27:10]: Yeah.Swyx [00:27:11]: Right? So, like, I think let's iron out for people what is a decision model, as far asNikunj Handa [00:27:16]: YeahSwyx [00:27:17]: As far as, like, what is important? It is not just latency. It's not just structured output, right? Because I could just have Luna as it'- The decision model is priced the same as Luna, right?Nikunj Handa [00:27:26]: Mm-hmm.Swyx [00:27:27]: Have turned off reasoning and then have structured output. Do I have a Jev? you know, no, right? And that's theNikunj Handa [00:27:33]: YeahSwyx [00:27:33]: That's the realVibhu [00:27:34]: There's a confidence there.Swyx [00:27:35]: Yeah.Nikunj Handa [00:27:36]: Yeah, totally. I think, the way that. So we haven't trained, like, a new model for this.Swyx [00:27:40]: Yeah.Nikunj Handa [00:27:40]: We're, like, building this purely on top of the same Luna weights that we have.Swyx [00:27:44]: Oh.Nikunj Handa [00:27:44]: So yeah. This is, like, really just Luna. And, on top of that, what you're doing is you're constraining. So, like, structured output's a big part of it. you're really optimizing the inference stack to, like, get very fast on TTFD. And because you can have multiple questions, what you do is, like, you basically run those in parallel,Swyx [00:28:05]: As a batch.Nikunj Handa [00:28:06]: Yeah. You run those in the-- as a batch. you-- All sorts of, like, inference techniques people are working on to try to make it as fast as possible. But I'd say, like, at least our implementation of it at the start and this first version is, like, zero-shotting this on top of Luna, to see how it goes. And obviously, you wanna, like, put it out there. Like, this is OpenAI's, like, classic iterative deployment thing. Put it out there, see what people think, and then, like, we'll make more model improvements, as needed. so yeah. That's, the decisions API.Swyx [00:28:38]: Yeah. And, obviously as a benefit, you have vision. They don't have vision, right?Nikunj Handa [00:28:42]: That's true.Swyx [00:28:42]: Obviously, Jev's comes withNikunj Handa [00:28:43]: Yeah. Like, we get it for free with Luna. Yeah.Swyx [00:28:45]: Yeah. I do think that, like, you know, some of the innovations, it sounds like, it's still to come if it's still the same Luna weights, which is, like, the confidence stuff, like, the in calibration is something that we've talked about on the podcast with, benchmarking calibration. ‘Cause basically, the whole point is that RLHF kind of collapses you towards what you want to hear.Calibration, Architecture, and the Open Research QuestionsNikunj Handa [00:29:03]: Yeah.Swyx [00:29:03]: But, like, not actually, like, what the amount of confidence is.Nikunj Handa [00:29:06]: Yeah. Yeah, totally. I'm eager to see how it pans out. Maybe there's, like, gonna be. These are gonna be, like, the key areas where we may have to, like, hill climbSwyx [00:29:15]: YeahNikunj Handa [00:29:15]: With the, with the future model release. But, yeah.Swyx [00:29:18]: And then architecture-wise, the other thing that's in the debate, obviously, you-- Nobody knows because Jev doesn't talk about it, but the two speculations are, one, maybe diffusion model instead of autoregressive.Nikunj Handa [00:29:28]: Mm-hmm.Swyx [00:29:29]: But you are able to achieve the parallel, generation in your way. And then the other one is some mech interp type thingNikunj Handa [00:29:37]: Mm-hmmSwyx [00:29:37]: That you're, like, analyzing the activations and then just outputtingNikunj Handa [00:29:40]: That would be coolSwyx [00:29:41]: The weights.Nikunj Handa [00:29:42]: Yeah.Swyx [00:29:42]: Which, like, you guys have all done the research on this. People have speculated.Vibhu [00:29:45]: There have been demos onSwyx [00:29:46]: YeahVibhu [00:29:46]: Both of these as well. I think Gemini shared a Gemini diffusion, Gemma diffusion on a Jev-style output.Nikunj Handa [00:29:53]: Oh, sick.Vibhu [00:29:53]: And, interp people have also, you know, pulled out interp from a middle layer, but this is all speculation.Swyx [00:29:59]: It's just like, what are you trying to aim for, right? Because you can achieve the API. Everyone can achieve the API. It's actually pretty trivial. But, like, then there's the speed, then there's the accuracy, then there's the other calibration features.Nikunj Handa [00:30:11]: Mm-hmm.Swyx [00:30:11]: I don't know what else.Nikunj Handa [00:30:13]: Yeah. Yeah. No, totally. It's so cool that this, like, whole space has been kicked off now and people are gonna do so much cool stuff and everyone's gonna learn from each other. And, yeah, I'm excited about it.What Developers Should Build NextVibhu [00:30:24]: I feel like being on the platform team, a lot of your job is to empower builders.Nikunj Handa [00:30:27]: Mm-hmm.Vibhu [00:30:28]: What do you think people should build with decisions API and also Computer Use agents? Any stuff that you've- been building with internally that you think really opens up after the new change?Nikunj Handa [00:30:39]: Yeah. okay, let's think. decisions API, use cases internally have been pretty obvious. Like, the user ops team was, like, jumping on it. We were like, “We gotta classify all of our support tickets.” what else came up? obviously, there were, like, the really cool GPT Live demos. I'm sure, like, the Codex app team might, like, pick this up and try to do something cool with it. So, you know, like, this whole thing started, like, a week ago, so it's, like, very early andSwyx [00:31:06]: Oh, one week.Nikunj Handa [00:31:07]: We're excited. Yeah. Yeah, pretty much.Vibhu [00:31:08]: There was a big push in, evals, LLM as a judge having really low latency there.Nikunj Handa [00:31:13]: Right. Yeah. That'll be interesting to see. and then, with the Agents API, we have-- we're basically, like, having a bunch of first-party products, like, at OpenAI built fully on top of it. we've had the Codex security stuff that just went out that's fully built on top of, the Agents API. We have, sort of the-- we- we are having, like, a meetings type of thing launching today.Agents API and OpenAI's First-Party ProductsSwyx [00:31:40]: Mm-hmm.Nikunj Handa [00:31:40]: I think there was, like, a demo. do you remember, like, the plugin extensions when Sam was showing it? There was, like, a demo for, like, you're in a calendar, you can sort of, like, have your meeting notesSwyx [00:31:51]: Like, drop into a singleNikunj Handa [00:31:52]: Flow into like your spaceSwyx [00:31:52]: Like, Google Docs type thing.Nikunj Handa [00:31:53]: Yeah.Swyx [00:31:54]: Right?Nikunj Handa [00:31:54]: And so the-- all of that stuff is, like, fully built on top of, the Agents API. and yeah, I'm, like, just excited to see. Like, we're just getting this out, and let's see what people build on top of it.Vibhu [00:32:04]: I think you showed it off very well. The whole edit spaces, pages, collaborate, add in your dot. Like, that's a lot, soNikunj Handa [00:32:12]: YeahVibhu [00:32:12]: There's a lot of inspiration people can go to.Nikunj Handa [00:32:14]: Yeah. All possible with Astra, you know. Like, thing- things just move so fast now. LikeSwyx [00:32:19]: YeahNikunj Handa [00:32:19]: People go from idea to execution so quickly, it's amazing.Swyx [00:32:23]: Is there something that you want, people to focus on to give you feedback? Like, what-- like, you know, maybe you're just putting this out there and you want-- and there's, like, a fork in the road and you want developers to help you decide.Responses API Performance and Long-Lived CachingNikunj Handa [00:32:35]: So I think Agents API and decisions API, they are like, these are our newest products. Would love, like, any and all feedback on that to figure out where to take them. I think, over here, we're, like, very open on Responses API, which is sort of like our workhorse over here. like, really focused on performance right now, and the performance comes in, like, two main ways. first is just, like, latency. We've been, like, rewriting the whole Responses API stack to, like, make it as fast as possible from a TTFT perspective, DVD perspective. So there's like-- that, like, continues to be, like, a main area of focus for us. The second thing we've been trying to do is, like, really go deep on caching, particularly with these, like, personal agents that are, you know, like, basically, like, a single thread that just goes on and on forever. We've been, trying to, like, really up our game on caching. We provide now guarantees of, like, cache hits within, like, 30 minutes. We're actually, like, we-- for one of our users, we just launched, like, a much longer cache window. So we have, like, a 12-hour caching guarantee, that we offer so that you have, like, guaranteed cache hits forSwyx [00:33:40]: Is that a public API?Nikunj Handa [00:33:42]: Not yet. That's in preview.Nikunj Handa [00:33:43]: We're gonna, like, try to get that out to everyone as soon as possible. But, like, just pay a little bit more for the cache write, and we, like, guarantee, like, cache reads for, like, a much longer period. So even if, like, your instinct thread, for example, like, you just, like, do something on it and then come back to it, like, three to four hours later, you- you're still getting the caching performance out of it. And launchedVibhu [00:34:04]: And you cut the cost there quite a bit too, right, with the new model?Nikunj Handa [00:34:07]: Oh, yeah. That's right.Vibhu [00:34:08]: Like, 25% cheaper, soNikunj Handa [00:34:08]: Yeah, with, like, driving down cache reads, yeah.Cache Pre-Warming and Cost-Efficient Agent ThreadsVibhu [00:34:10]: For builders, they should implementNikunj Handa [00:34:13]: YeahVibhu [00:34:13]: Because it's significantly cheaper.Nikunj Handa [00:34:14]: Yeah. Yeah. Just, like, building your apps with, like, to be very cache aware and sort of, like, use our prompt diagnostics or cache diagnostics tool to figure out, like, where things are dropping off. And, so the caching part is, like, really important. yeah, I also wanted to talk about pre-warming. We have that in the API now. So, like, if you know that, “Hey, I'm gonna get a cache,” like-- sorry, “I'm gonna get this prompt. I just wanna, like, pre-warm the cache, pay, like, the cache write fee right now, and then, like, have it sort of ready to go for the next 30 minutes for whenever.”Swyx [00:34:49]: And it can spawn many instances of that thread.Nikunj Handa [00:34:51]: Exactly, yeah.Swyx [00:34:52]: Yeah.Nikunj Handa [00:34:52]: You can just keep going and haveSwyx [00:34:54]: Yeah, just keep messing with the prompt thereNikunj Handa [00:34:55]: Tons and tons of that. and so, yeah, like, I'm very excited about getting feedback on, like, the low-level performance things that we can keep making Responses API the most performant and reliable way to, like, build on top of an LLM. And then you basically have our, like, new products where I'm just looking for, like, any and all feedback.Swyx [00:35:15]: Yeah, just use it, right?Nikunj Handa [00:35:16]: So yeah, just useSwyx [00:35:16]: Tell us what toNikunj Handa [00:35:17]: Yeah. Define our roadmap for us, please. So yeah.Swyx [00:35:20]: I think for me, the caching thing, great, right? Like, obviously very needed. But at the end of the day, you're still bumping up against a million-token contextCompaction and Managing Million-Token ContextsNikunj Handa [00:35:28]: Mm-hmmSwyx [00:35:28]: And that's probably not gonna change for the foreseeable future.Nikunj Handa [00:35:31]: Mm-hmm.Swyx [00:35:31]: Like, you still need good compression.Nikunj Handa [00:35:33]: Yeah.Swyx [00:35:33]: What is the best practice there?Nikunj Handa [00:35:34]: Yeah. Yeah, totally. so firstly, OpenAI has its own, like, proprietary compression, compSwyx [00:35:40]: Which is inNikunj Handa [00:35:41]: Compaction.Vibhu [00:35:42]: Compaction.Swyx [00:35:42]: It's in the agents.Vibhu [00:35:43]: It's in the API.Nikunj Handa [00:35:43]: Yes.Vibhu [00:35:43]: Agents API.Nikunj Handa [00:35:44]: Yeah.Swyx [00:35:44]: You decide for us, right?Nikunj Handa [00:35:45]: Yeah, exactly. So in the Agents API, it comes built into the harness. and if you're in Responses API, there's, like, two ways of doing it. One is what we call server-side compaction, which is you basically tell Responses API that if you ever hit this threshold of tokens, just auto-compact it and, like, go back, or sorry, like, reduce the context, being used. And the second way is, like, /compact, which is, like, if you want full control. So you can, like, /compact at any timeSwyx [00:36:15]: I hear youNikunj Handa [00:36:15]: Have your own logic on when to, likeSwyx [00:36:17]: It's not AGI.Nikunj Handa [00:36:18]: It.Swyx [00:36:18]: It's not AGI.Nikunj Handa [00:36:19]: Yeah. Yeah.Swyx [00:36:20]: Yeah. But it, I meanNikunj Handa [00:36:20]: YeahSwyx [00:36:20]: It is the manual override.Nikunj Handa [00:36:21]: Yeah, it is the manual way. And like, I don't know, but a lot of the big coding agents like to do it manually. I mean, like, if you look at the Codex implementation of it in the Code- open source Codex harness, you can see that they use /compact and do it. and, there's also, like, new, by the way, new compaction techniques that we are working on. Some of them you will be able to see in the Codex harness. Like, it's already implemented in the Codex harness. And so, they're like some file-based, systems that we are, like, experimenting with. So yeah, lots of cool stuff going on around in compaction as well.Swyx [00:36:57]: Cool. we are running out of time.Nikunj Handa [00:36:59]: Okay.Swyx [00:36:59]: I think you've talked about, a lot about performance and talked a lot about, the new APIs that you're launching. Can you give us any other hints as to things that you're interested in as far as the future of the platform is concerned?Higher-Level Platform Primitives and the AI CloudNikunj Handa [00:37:13]: We're obviously like very low level. Like, I used to work at Stripe before this, and, at Stripe a lot of the game was like building these higher level primitives and products on top of like the core payments primitives. and, I'm always like curious about what the best way of doing that is in AI. And I think we've had a couple of attempts at that. We like had launched assistance API like way back in the day, and like wasn't really the right fit. We were sort of like going off with this like Agents API, and, it gives you the codex harness, but like where's like the, what's the right amount of flexibility to give in that? That's like an open question. Like how should we like have memory walls and like all of these like higher level like API objects to take away, also like to abstract away more, like storage concepts. Like this is like a whole, like, there's a whole space that I'm like very curious about figuring out how we design. I think a lot of things in AI are just have a low-level API primitive and see an example harness and go and have your coding agent implement that. But how much of that do we build into the API is like a constant question that I'm thinking about.Swyx [00:38:24]: Yeah.Nikunj Handa [00:38:24]: So I don't know if folks have thoughts on that. If anyone has ideas, it would be super interesting to hear.Swyx [00:38:30]: Yeah. The analogy I always bring back to, and we'll end there, is, you're building an AI cloud, right?Nikunj Handa [00:38:35]: Mm-hmm.Swyx [00:38:35]: Like, which is, something that, Sam said a year agoNikunj Handa [00:38:38]: Mm-hmmSwyx [00:38:38]: Where, and you're, it's almost like you're kind of doing the AWS invention and you have to do, okay, this is EC2Nikunj Handa [00:38:45]: YeahSwyx [00:38:45]: And this is S3, and this is like. But you're doing the AI-native versions of each of these.Vibhu [00:38:48]: There are a lot of analogies, so you're pre-warming caches for stuff that you know will beNikunj Handa [00:38:53]: Yeah.Vibhu [00:38:53]: And it's nice that it's all exposed to buildersClosingNikunj Handa [00:38:56]: Mm-hmmVibhu [00:38:56]: ‘cause it just opens up ways that you can build new things.Nikunj Handa [00:38:59]: Yeah, absolutely.Swyx [00:39:00]: Okay.Vibhu [00:39:00]: Awesome. WellSwyx [00:39:01]: That's everything.Nikunj Handa [00:39:01]: Thank you, guys.Vibhu [00:39:02]: Thank you.Nikunj Handa [00:39:02]: Yeah. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.latent.space/subscribe

What Happens After You Hit the Goal?You wanted more inquiries.You wanted more weddings.You wanted higher revenue.You wanted people to know your name.And then one day you look around and realize:Holy shit.It worked.So… now what?In this episode, Jeni talks about a stage of business growth that does not get discussed enough: what happens when the business is successful, but you realize the way you are operating it cannot continue forever.Because success can create an entirely new set of problems.You can have the revenue you wanted and still be exhausted.You can have a packed calendar and secretly dread the weddings on it.You can have a team and still answer every question yourself.You can have more inquiries than ever and still wonder:Do I actually want to run this business this way for the next 10 years?Jeni explains why the next stage of growth is not automatically about doing MORE.Sometimes your next level is bigger.Sometimes it is more profitable.Sometimes it is more premium.And sometimes it is actually simpler.Maybe your dream business is not a $500,000 floral company with dozens of weddings.Maybe it is a $250,000 business with strong margins, 20 incredible weddings, a small team, premium clients, months of breathing room, and enough freedom to be home with your family.The goal is not to blindly keep increasing revenue.The goal is to intentionally design the business you actually want.Start with how the business feelsOne of the first questions Jeni recommends asking is:What gave me the ick?What clients drained you?What venues do you never want to work at again?What services make you resentful?What parts of the business make you feel overwhelmed?What are you doing simply because you have always done it?As your business grows, you earn the ability to create stronger boundaries around what belongs in the next version.You are the business owner.You get to decide.Your next level might require subtractionEarly-stage businesses often grow by adding.More services.More offers.More weddings.More workshops.More products.More marketing platforms.More everything.But mature businesses often grow differently.They subtract.They stop offering things that are not profitable enough.They stop accepting clients that drain them.They stop doing marketing that produces no meaningful return.They stop doing $35 work when that same time and energy could help land a $3,500 wedding.Just because something helped build your business does not mean it belongs in its future.Sometimes something was the bridge.It does not have to be the destination.Stop automatically assuming the next goal is more revenueYou hit $100,000.So now you need $200,000?Then $300,000?Then $500,000?Why?Maybe you want that.Great.But eventually revenue should stop being the only scorecard.Start thinking about:ProfitOwner compensationAverage bookingRevenue per weddingRevenue per working weekendLabor percentagesHours workedTime offFamily timeEnergyCreative fulfillmentMaybe the goal becomes:How do I make MORE from LESS?Instead of booking 10 more weddings, could you increase the average value of the weddings you already have?Your next level may not require more clients.It may require better economics per client.Your role has to evolve tooIn the beginning, you are everything.Florist.Designer.Salesperson.Buyer.Delivery driver.Bucket washer.Bookkeeper.Marketer.Cleaner.Customer service.But eventually, you need to ask:What actually requires ME?Maybe your highest-value role is:Creative directionHigh-level salesClient relationshipsBrand visionStrategyTeachingLeadershipIf the business gets bigger but absolutely everything still needs you, you have not really scaled.You have just gotten busier.Hire for the life you wantDo not only ask:“Where do I need help?”Ask:What would the right help give me back?Friday night?Sunday morning?A CEO day?Time with your kids?Creative space?Less production?Less admin?More energy?The right team should help create the life you are trying to build—not simply allow you to cram more work into it.Protect what you still loveScaling does not mean you need to stop touching flowers.If you love making bouquets, keep making bouquets.If installations light you up, keep installations.If consultations energize you, keep doing them.The goal is not to remove yourself from everything.The goal is to remove yourself from the things that no longer need you—or that you no longer want to own.Your brand needs to evolve tooThe brand that helped you book your first $3,000 wedding might not be the brand that books your first $30,000 wedding.Look at:Your websiteYour portfolioYour languageYour pricingYour minimumsYour offersYour client experienceYour social mediaYour vendor relationshipsDoes your business still represent the person you were when you started?Or does it reflect where you are going?Create spaceSometimes the next level requires space before you know exactly what will fill it.You cannot create the next workshop, premium service, creative direction, or strategic move if every ounce of your capacity is consumed by the current business.Sometimes you need to say:“I'm not doing that anymore.”Even before you have completely filled the space with something new.Space gives you the ability to think.Create.Strategize.And evolve.The dream-business frameworkJeni breaks the next stage of growth into four questions:KEEPWhat is working AND feels good?What do you want more of?CUTWhat is draining, unnecessary, outdated, unprofitable, or no longer aligned?What needs to disappear?CHANGEWhat is working but needs to operate differently?Raise the price.Change the process.Delegate it.Create a boundary.Simplify it.CREATEWhat is missing from the business you actually want?A better team?A CEO day?A new offer?Different clients?More time off?More creative work?More margin?More freedom?Ask yourself thisIf you were rebuilding your business TODAY with everything you now know…Would you build it exactly the same way?If the answer is no, that is your in...

My goal right now is to make $1 million a year. I want to do it working only 40 weeks of the year and never more than 40 hours in a given week.I don't know exactly how I'll get there yet. That's the point.A lot of you are doing some major self-sabotage when it comes to your goals. Most of us were never taught to want things. As kids, wanting something usually ended in disappointment. Then we became adults, lost the structure and momentum, and got on the conveyor belt. But the pursuit of a goal is inherently rewarding, whether or not you ever hit it. It feels better to try and fail than to sit in the comfort of complacency.In this episode, I break down why goals matter and the 3 traps that keep you stuck in goal purgatory._______________________________________________________Royalty Free Music from Tunetank.comTrack: Urban Legend by Musical Bakery⁠https://tunetank.com/track/3362-urban-legend/

Award-winning columnist Dejan Kovacevic, a lifelong veteran of the Pittsburgh sports scene, delivers a 'Daily Shot' show each weekday morning, covering the Penguins! It's available bright and early, and timed to match your commute, never longer than 20 minutes! Hosted by Simplecast, an AdsWizz company. See https://pcm.adswizz.com for information about our collection and use of personal data for advertising.

You Have a Stage Goal. What's Your Post-Show Goal? You've spent months working toward the physique you want to bring to the stage. What do you want to work toward when the show is over? In this episode of The Rachel Rampton Show, I'm sharing what I'm already thinking about during my own prep: having a clear goal for the woman who comes home after the show. If your only post-show goal is “I don't want to gain weight,” let's give you something more useful to work toward. What do you want to develop in your physique? How do you want to train? What do you want this next season to make room for in your life? In this episode, we talk about: Giving your reverse and post-show transition a clear purpose. Being honest with your coach about wanting to improve while feeling afraid of body changes. Recognizing progress when getting leaner is no longer the goal. Making room for marriage, family, and life while pursuing your physique goals. Staying rooted in your identity in God through every season. Your action step: Write down what you want to develop in your physique, what successful follow-through looks like, and what you want more room for in your life. Bring those answers to your coach. You can be proud of your stage physique and intentional about what comes next. Your worth never depended on your conditioning. Interested in coaching through prep and beyond? Connect with me on Instagram @rachelrampton_ and ask about Team Grit & Grace. Built with grit. Rooted in grace.

What if the problem isn't competition itself—but what happens when competition becomes disconnected from cooperation? In this episode of Inspire Change with Gunter, psychologist Gunter Swoboda examines our drive to compete and why constantly measuring ourselves against other people can undermine the very growth we're trying to achieve.Competition isn't inherently destructive.  But when it becomes untethered from collaboration, shared purpose and mutual respect, the goal can quietly shift.Instead of asking “How can I improve?”, we begin asking:“How do I rank?”And those are two very different psychological orientations.Gunter explores the distinction between ego involvement and task involvement within achievement psychology.With ego involvement, success depends heavily upon comparison. Did I win? Did I outperform someone else? Where do I stand in the hierarchy?Task involvement redirects that competitive energy toward mastery, learning and personal improvement.The competition hasn't necessarily disappeared.The opponent has changed.Instead of constantly trying to surpass someone else, we can begin competing with the person we were yesterday.As Gunter puts it:“Task involvement is about your own growth, not others' ranking.”The episode also explores why cooperation doesn't necessarily sit in opposition to competition. In Gunter's framing, cooperation can provide a broader ethical structure within which healthy competition operates.Because sustainable achievement doesn't require somebody else to lose.Whether we're talking about work, leadership, relationships or everyday interactions, many of us may be competing far more often than we realize.Who gets credit? Who gets the last word? Who appears more successful? Who was right? Who won?Recognizing those moments gives us an opportunity to redirect the instinct.The question becomes less: “Did I beat them?” And more:“Did I get better?”That shift—from winning to growing—can create a healthier relationship with achievement, other people and ultimately ourselves.And stay through the end of the episode, as Gunter shares what's coming next for Inspire Change while he's away—and hands the microphones over to Showrunner Miranda Spigener-Sapon and Co-Executive Producer DeVonna Prinzi for the October launch of our brand-new series: THE FILMS THAT MADE USChapter HighlightsIntroduction: Competition and CooperationWhen Competition Becomes ToxicHierarchy, Comparison and RankCooperation as the Foundation for Healthy CompetitionAchievement Goals: Ego vs. Task InvolvementWhy Task Involvement Is More SustainableShifting the Goal from Winning to GrowingApplying Higher Competition in Everyday LifeWhat's Next: Introducing The Films That Made UsGratitudeWe want to extend a huge thank you to our listeners in Fairborn, Grafton, Cleveland, and Cincinatti for holding Ohio's spot at #2 on the Top 10 USA listeners list. And to our Global Listeners, we extend our gratitude to our listeners in Seoul (sowl) for bringing South Korea (to changed from at) #4 and Marseilles (mahr-say) pushing (changed tense to match the sentence) France to #3! CONGRATULATIONS!! you made the Top Listeners List.Become a supporter of this podcast: https://www.spreaker.com/podcast/inspire-change-with-gunter--3633478/support.PatreonIf this episode resonates with you and you'd like to go deeper into practical exercises and guided reflection, Gunter offers extended self-development resources and exercises through our Patreon community: www.patreon.com/inspirechangeSponsorDistil UnionThis episode of Inspire Change with Gunter is brought to you by Distil Union, creators of beautifully designed, functional everyday carry accessories that help bring organization, simplicity, and intention into your daily life.Distil Union blends craftsmanship with thoughtful design to help you carry what matters most — without the clutter.

Dans son apéro, JiC nous parle Du match Canadiens - Maple Leafs Anthony Martineau nous résume la journée des CanadiensAlain Chantelois commente quelques dossiers du monde du sportMarc-André Perreault nous offre son point de vue sur l'actualité sportiveDominique Ducharme est l'invité du segment « Les Coachs »Maxim Lapierre revient sur le match Canadiens - Maple LeafsDans son billet de saison, JiC nous parle de TorontoPhilippe Boucher aborde plusieurs sujets concernant la LNHRenaud Lavoie nous parle de Jakub Dobes, Gavin Mckenna et des OilersTony Marinaro nous donne son opinion sur l'actualité sportiveEn entrevue, JiC reçoit Serge SavardPour de l'information concernant l'utilisation de vos données personnelles - https://omnystudio.com/policies/listener/fr

This week, Landon and Jeremiah discuss Austin FC's playoff hopes, and the similarities and differences between this week's games. Other questions and topics include:- Check out the "Chaotic" Sticker Pack!- Explaining jokes always makes them funnier- Why Ramirez might not be back in '27- Stuver out with illness- Rollercoaster match vs San Diego FC- Could Stuver have done better than Las?- Austin FC mounts 3 goal come back- The nuance of a headed goal- Ervin Torres's continued influence- International duty roundup- Conversation about ICE at Q2 stadium- Reassessing the path to the playoffs- Free Parking at Amplify- much moreMoontower Soccer is brought to you by FVF Law Support the show

Show Notes: slpnow.com/271In this episode, I break down how I use one book or article to target every goal in a mixed group. Every activity in a literacy-based therapy framework is language-rich, so I do not need a different activity for every student. One activity can work for everyone.I walk through a real example of using WH question cards to target articulation, past tense verbs, and categories in the same session. I also share how I choose texts for different age bands so therapy planning feels simpler and more sustainable.Sign up for a free trial of SLP Now at slpnow.com/pod!

On this week's episode of The Joy of Football Podcast, Martin Tyler and Neil Barnett are joined by former Everton, Rangers, Marseille and England midfielder Trevor Steven for a special extended conversation spanning his remarkable career in football and his work today with mental health charity MindFlow. Trevor takes us inside the great Everton side of the 1980s, recalling life under Howard Kendall, winning the FA Cup, two First Division titles and the European Cup Winners' Cup, and playing alongside the likes of Peter Reid, Kevin Sheedy, Andy Gray and Gary Lineker. He also reflects on the impact of the ban on English clubs competing in Europe and reveals why he eventually decided to leave Goodison Park. That decision left Trevor with a huge choice. He reveals his conversations with Sir Alex Ferguson about joining Manchester United, why a move to Old Trafford ultimately didn't happen, and how Graeme Souness convinced him to join Rangers instead. Trevor remembers arriving at Ibrox during an extraordinary period for Scottish football, before discussing his later move to Marseille and life inside one of Europe's biggest clubs. Trevor also takes Martin and Neil inside his England career under Sir Bobby Robson, from the unexpected phone call that gave him his first international opportunity to representing his country at two World Cups. He relives Mexico 1986, Gary Lineker's goals against Poland and being on the pitch against Diego Maradona during the Hand of God and Goal of the Century, before remembering just how close he came to taking a penalty in England's dramatic 1990 World Cup semi-final against West Germany. Away from the pitch, Trevor explains the work behind MindFlow, bringing football and the construction industry together to tackle the mental health crisis affecting workers across the UK. He discusses the similarities between football dressing rooms and construction sites, the importance of getting men talking, and how former players including Gary Lineker, Stuart Pearce, John Barnes and Viv Anderson are helping to change the conversation. Plus, Trevor gives his thoughts on the modern game, England and the way football has changed since his playing days, before Martin delivers another Letter From The Gantry. From Everton, Rangers and Marseille to Sir Alex Ferguson, Graeme Souness, Bobby Robson, Maradona, England and the World Cup, this is Trevor Steven's story. #TrevorSteven #Everton #EFC #Rangers #RangersFC #England #ThreeLions #Maradona #WorldCup #ManchesterUnited #SirAlexFerguson #BobbyRobson #GraemeSouness #EvertonFC #Football #MartinTyler #NeilBarnett #TheJoyOfFootball #JOF Hosted by The Revive Lounge Ltd UCsdye1hUxP4xhgBx9zvuSjg Subscribe to https://youtube.com/@TheReviveLounge?si=L5ddzrJrtSmErtJ5 Support the Pod https://patreon.com/TheJoysofFootballPodcast?utm_medium=unknown&utm_source=join_link&utm_campaign=creatorshare_creator&utm_content=copyLink Read us on Substack https://martintylerandneilbarnett.substack.com/ Follow our Twitter https://x.com/TheJOF Follow our Tik Tok https://www.tiktok.com/@joy_of_football_pod?is_from_webapp=1&sender_device=pc Follow our Instagram https://https://www.instagram.com/joy_of_football_pod/ Contact us via: therevivelounge@gmail.com Music by Arron Clague - https://www.instagram.com/arronclague?igsh=aHg1bjQ3OHpmaXIz Intro Sequence by Wellong Sadewo (wells.illustration): https://www.instagram.com/wells.illustration/ A massive thank you to our Patreon Supporters: Nick Parmenter Hillary Abbott Daniel Butigan Tommy Mck Katie Watson Nathan A Learn more about your ad choices. Visit podcastchoices.com/adchoices

Think naloxone's job is to make overdose patients sit up, smile, and tell you what year it is? Think again. In this episode of Ten Minute Medic, we explain why the real goal isn't creating the world's angriest awake patient—it's restoring breathing. You'll learn how naloxone actually works, why "less is more" is often the smarter strategy, how re-narcotization can sneak up on you, and why experienced paramedics treat respiratory failure—not the level of consciousness. If you've ever wondered why some patients wake up ready to throw punches instead of saying "thank you," this episode will make perfect sense... and might save you from your own next Naloxone Rodeo. Because great paramedics don't just reverse overdoses—they understand the physiology behind every dose. FREE RESOURCE: Narcan Study Guide

Welcome back to Loud and Proud Orlando! Tonight, we are breaking down a wild weekend of soccer that brought us some incredible highs and some frustrating lows.First, we dive into the USMNT's massive 4-1 statement win over Peru to kick off the Mauricio Pochettino era. We are celebrating an unforgettable, four-minute debut goal from our very own Orlando City star, 19-year-old Justin Ellis, who connected perfectly with Gio Reyna! With a massive youth movement underway—including debuts from Ellis, Cavan Sullivan, and Julian Hall—we discuss exactly what's next for this hungry USMNT squad as they build toward the World Cup.Then, we have to talk about the rough night at Subaru Park. Orlando City dropped a tough 4-2 result against the Philadelphia Union. We break down the defensive collapse, how we let Milan Iloski secure a hat-trick, and where the Lions must go from here to bounce back.

Title: Episode 89: Can Managed Forests Help Canada Meet Its 30x30 Conservation Goal? Author(s): Worm, Loa Dalgaard Description: Conservation is often associated with national parks and protected areas. But what about places that are delivering benefits for biodiversity while being managed for other purposes? In this episode of Forest for the Future, we return to Canada to explore Other Effective Area-Based Conservation Measures, or OECMs, and their potential contribution to the country's 30x30 conservation goal. Host Loa Dalgaard Worm is joined by conservation expert Alison Woodley, Megan Lafferty, Director of Area-based Conservation at Nature Conservancy of Canada and Co-Chair of the IUCN World Commission on Protected Areas' OECM Specialist Group, and Vivian Peachey, Director of Climate and Landscape Solutions at FSC Canada. Together, they unpack what OECMs are, how they differ from protected areas, and where FSC-certified forests could play a role. Drawing on a project involving FSC Canada, Ontario Nature and Environment and Climate Change Canada, the conversation explores the opportunities within conservation area networks in certified forests. It also examines the practical challenges of competing land uses, shared responsibilities and ensuring that conservation lasts beyond a forest management licence. The guests explain why FSC certification alone does not establish OECM recognition, and why Indigenous rights, leadership and free, prior and informed consent are foundational to this work. The episode also looks at FSC's Verified Impact tool and its potential to connect measurable conservation outcomes with financial support for forest managers and their conservation partners, including Indigenous communities. Throughout the conversation, the focus is on what happens beyond the numbers: the quality of conservation, the people involved, and the arrangements needed to sustain biodiversity over time.

What if the only thing standing between you and the success you deserve… is a belief someone planted in your mind when you were eight years old?In this eye-opening episode, Gill Tiney — founder of Collaboration Global — sits down with executive coach, keynote speaker, and author Tara LaFon Gooch to pull back the curtain on the invisible ceilings that quietly sabotage even the most talented, driven people.Tara walked away from a high-flying corporate sales director role — company car, corner office, six-figure portfolio — and rebuilt from absolute zero. No car. No phone. No laptop. What she discovered on that journey became the foundation of a coaching practice that has transformed the lives of over 100 founders and hundreds of executives worldwide.⚡ In this conversation, you'll discover:Why lottery winners, NFL stars, and top executives lose everything — and what the humble light bulb can teach us about personal capacityThe one question Tara asks every client that drops their emotional armour within minutesThe GRASP Method (Gratitude, Responsibility, Action, Site, Purpose) — a daily framework for building sustainable confidence and successWhy consistency will always beat talent, looks, and qualifications in the long gameThe surprising gender gap in self-worth — and why it matters for your business right nowHow collaboration — not competition — is the ultimate abundance strategyBoth Gill's and Tara's raw, personal stories of fear, failure, and finding their true purpose

I thought setting daily profit goals would make me a better trader. Instead, they nearly made me force trades that weren't there. In this episode, I share one of my early trading mistakes and why results-based goals can quietly sabotage your trading.Learn to Trade at www.TierOnerading.comYour Trading Coach Akil

What do you do when life doesn't turn out the way you expected—and you can't fix it, control it, or even fully understand what God is doing? Maybe you're trying to trust God, but you're also angry, disappointed, grieving, or just plain confused. How do you hold all of those emotions without pretending everything is fine or letting those feelings take over? In this episode, I'm sharing something very personal that I've been walking through in my own family, especially as I navigate the complicated emotions that come with parenting young adult children.  We'll talk about what it really looks like to surrender when you're still grieving, why pretending you're “already on the other side” doesn't actually help you heal, and how God can meet you in the messy middle. If you're walking through a situation you wish were different, I hope this conversation reminds you that you don't have to have all the answers—you can keep moving forward while trusting God with what you cannot control. WHAT YOU'LL LEARN [00:00] When Life Doesn't Turn Out the Way You Expected [02:00] You Don't Need to Become a “Better You” [04:00] Holding Faith and Hard Emotions at the Same Time [08:00] The Grief of Losing the Future You Imagined [10:00] Surrender Is the Goal, But We First Have to Deal With the Emotions Behind Surrender  [12:00] Are You Chasing the Illusion of Certainty? [17:00] What Does Surrender Really Look Like? [22:00] How Can You Stay in Surrender (When You Just Want to Fix)? RESOURCES: Emotional Overwhelm Reset System — In under 30 minutes, learn my simple “prep before you process” approach to calm overwhelming emotions and find clarity.  AliciaMichelle.com/overwhelm RELATED EPISODES: Ep 379: “How Do I Walk Through This Well?” Finding Emotional Clarity When Life Gets Complicated Ep 378: What Do You Actually Need When You're Carrying a Lot Emotionally? Ep365: God Reveals So He Can Heal (Is It Time to Step Into Healing?) Send us Fan Mail

Chris Anderson sits down in the studio with Michael J. López, an organizational change consultant, keynote speaker, LinkedIn Top Voice, and author of Change: Six Science-Backed Strategies to Transform Your Brain, Body, and Behavior. Michael spent more than a decade at Big Four firms leading transformation programs, played college football, and started his own company at 50 with his wife five months pregnant. He is 53 now, with one-year-old twins. This one is for the man who sets the same goal every January and quits it every February. Michael says the problem is not your willpower. Your brain has one job, to keep you alive, and it does that by predicting what happens next and steering you toward whatever is easiest. Every hard thing you try to do fights that. So you need a different relationship with effort, and you need to write your goals differently. In this episode: - Your brain is a prediction machine, and why that gap is what stops you - Quitters Day, and why motivation runs out in the third week - Too many goals at once, and why the adult brain can only chase one - Nouns versus verbs, the single shift that keeps you going - Dopamine without effort is dangerous - A habit is the opposite of change - The "I don't want to do this" voice, and why it is the signal to go - Getting kicked out the door at 50, and the best and hardest year of his life - Why do you think you're done? Stagnant means not improving. - Seven figures and hate your life, or six figures and home with your babies - Emotions are waves. Turn and face them. - The 12 hour rule. Move forward, not on. - Failure is what rewires your brain. Never the same mistake twice. - Read a book, turn a page, and do not let the AI easy button do your thinking - The Upgraded Man Journal, answering Andrew Menechian and leaving a question for the next guest Find Michael at michaeljlopez.coach. His book Change is on Amazon, Barnes and Noble, and audiobook. He is on LinkedIn and Instagram at michaeljlopez9, and he hosts the Top Voice Podcast every Tuesday. If you have quit the same goal more than once, this one is for you. Follow the show, and send this to a man who keeps saying "I'm starting Monday." This episode may or may not be sponsored. Some product links are affiliate links, meaning we'll receive a small commission if you buy something.===========================⚡️ PODCAST: Subscribe and listen on all major platforms⚡️ Want to be a guest on The Upgraded Man? Apply here ➡ https://upgraded-man.com/guest⚡️ For support or business inquiries, email us ➡ chris@upgraded-man.com Our mission at The Upgraded Man is simple — help men upgrade every area of their life through real conversations, honest stories, and actionable insight from men who have done the work.Want to be a guest on The Upgraded Man? Send Chris Anderson a message on PodMatch, here: https://www.podmatch.com/hostdetailpreview/upgradedmanpodcast The content on The Upgraded Man is for informational and entertainment purposes only. The views expressed by the host and guests are their own and do not constitute professional legal, financial, medical, or therapeutic advice. Always consult a qualified professional before making decisions based on information discussed on this podcast. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Auto-generated transcript: Bismillahirrahmanirrahim. Alhamdulillahi Rabbil ‘Alameen. Wa salatu wa salamu ala sharafi al-anbiya wal mursaleen, Muhammadur Rasulullah ﷺ, wa ala alihi wa sahbihi wa sallam. Tasleeman kaseeran kaseera. Fahamma wa adhu. A’afiqatuh. My brothers and sisters, we are on the mighty Zambezi. Behind me, that bank over there is Zimbabwe. And in front of me… Continue reading What’s my spiritual goal?

Are all your goals set by other people? Mark challenges conventional thinking about sales goals and reveals why most goals might be holding sales teams back. Discover a new way to break down your targets into meaningful actions that actually drive results.  Hear stories of salespeople who miss their numbers and learn what sets high performers apart. Find out how to structure your goals for maximum impact and why the right peer group can boost your success.

God’s love is so great and His faithfulness so enduring that praise is the natural response. Discover God’s heart for the praise of all people, and how we can be part of it.

Happy Mindset Monday!Jobert Abueva says January 1st might be the worst time to become a new person. We've stripped the reflection out of the new year and replaced it with resolutions that fail by February.Jobert is a global marketing executive, TEDx speaker, and author of The Janus Plan, named after the two-faced Roman god who looks to the past and the future at once. His message is about the threshold, that in-between moment where one chapter ends and the next begins, and what happens when you pause there on purpose.His own threshold hit in a Hong Kong hotel room in 1997, burned out and unable to get out of bed after three years of a jet-set career.In this one:Why reflection is the missing step in the new yearThe good, the bad, and the uglyThresholds and why every ending deserves a pauseWhy achievement kept leaving him emptyContribution over accumulationThe "threshold brief" for corporate planning

What if your AI strategy is creating more risk than progress? John Willis joins Andrew Stotz to trace how Deming's System of Profound Knowledge shaped the way he thinks about organizations, learning, and change. From his early days building DevOps to the AI transformations he's navigating with CIOs today. Along the way, John connects Deming to fast feedback loops, explains why leaders keep mistaking a learning problem for a technology problem, and shares stories that never made it into his book, Deming's Journey to Profound Knowledge.   A fresh conversation for longtime Deming thinkers and those just beginning the journey.   TRANSCRIPT 0:00:02.0 Andrew Stotz: My name is Andrew Stotz and I'll be your host as we continue our journey into the teachings of Dr. W. Edwards Deming. Today I'm here with featured guest, John Willis. John, how are you doing?   0:00:15.7 John Willis: Great, Andrew. I was just thinking, I feel like that song, like I got my picture on the cover of Rolling Stone. Like, I'm on the Deming Institute podcast. Yay.   [laughter]   0:00:24.9 Andrew Stotz: We finally got you on.   0:00:27.8 John Willis: Yeah, yeah.   0:00:30.3 Andrew Stotz: Actually been a while and I wanna introduce you just briefly and then I'll let you do a little bit more of the introduction. But basically on Amazon, a book popped up and I was just looking at the date of that. That book popped up on, for me, it popped up on September 6, 2023 on Audible and I immediately bought it and I got the Audible book and the book's called 'Deming's Journey to Profound Knowledge. How Deming Helped Win a War, Altered the Face of Industry, and Holds the Key to Our Future'. And I immediately got it. Didn't know you, listened to it, loved it. Later you reached out on LinkedIn and we started communicating and you were kind enough to send a copy of it, which I then went through in more detail. I love the book. I really highly recommend the Audible version because it's just fun. Because the book is opening up a whole new Deming lens, a whole new way from somebody that never met Deming, and I just found that fascinating. So maybe why don't you take a moment and introduce yourself to the audience so that people know who you are, where you've been, what you've been doing and what you're doing now?   0:01:41.4 John Willis: Yeah, no, no, great. I... So, yeah, I... I've been doing technology, usually high consequence business, regulated industry, banks, retail, the biggest of the bigs, where the technology is incredibly important. Right? And I've been doing five decades of basic technology transformations, and I'm kind of the person who gets bored real easy. So I've literally gone through, like, you name it, mainframe, centralized computing, client server, distributed computing, priority systems, the Linux Open systems, you know, owned infrastructure cloud, and I'm consider one of the founders of the DevOps movement. And now today, like the cliché that I am, I've been doing a lot of organizational strategy on AI. So I don't come in and tell you how to turn 4,000 developers into AI coders. I kind of tell your CIOs to slow down. Wait a minute. So, yeah, so my day job today is I'm... I think these days finally in my life I would call myself an author first. I've written a number of books. The one you did, I had... My last book was a history of 100 history, 100 Year History of AI. And... But I'm an advisor, so I sort of... I take inbounds. I don't really look for work. Usually it's a chief of staff for a CIO who either has worked with me in the past and hey John, we're underwater with AI. Can you come in? Or they hear something I've said or I do a lot of podcasts and then I'm sort of a quasi investor. Although I probably should listen to your stuff a little better because I'm typically... I'm one of those guys that like, if I invest in it, you go short on it right away. So... [laughter] But yeah. But, yeah, no, so... But my day job today is really, is doing research. I'm actually just sure, this probably opened up a whole another discussion. Maybe later but I'm writing a book about the history of quantum computing right now and that's been just fascinating. So...   0:03:41.7 Andrew Stotz: Yeah.   0:03:41.8 John Willis: But my day job is helping CIOs and large high consequence organizations try to shuffle through technology transformations.   0:03:50.7 Andrew Stotz: And for the audience there that didn't catch what you were saying at the beginning, it kind of dated you because you were talking about the song called Rolling Stone by Dr. Hook.   0:03:59.9 John Willis: Yeah, yeah, totally.   0:04:01.3 Andrew Stotz: Dr. Hook published this in about 1972. And here are the lyrics. "Wanna see my picture on the cover? Wanna buy five copies for my mother? Wanna see my smiling face on the cover of Rolling Stone?" So here...   0:04:12.8 John Willis: Totally. Yeah. There you go. Deming Institute. Yeah, no, great.   0:04:16.7 Andrew Stotz: And one of the things that I found fascinating was just how you came to Deming from a very different angle. I was lucky enough that my boss at Pepsi sent me to study with him and I did two different seminars. The last one was in 1992. So I was 24, he was 92, was gonna live about one more year. I had... I could literally reach out and touch the man and hold his hand and sit next to him. I got a great picture of me sitting next to him. And I was just a young guy with a fresh mind compared to the 500 guys behind me that were older that he was bashing at times. But tell us a little bit about how you stumbled upon this topic and why you decided to do what you did with writing the book?   0:05:03.7 John Willis: Yeah, no, it's sort of interesting. I sort of say that for the first, I don't know, probably from 1980, my first job was running five distributed large computer systems for Exxon Research and Production, basically the geophysics work, right, during the most hottest period of the oil industry. And there were people doing that part of variation and understanding, but that didn't sort of hit my world. I was supporting geophysical processing and then so I rolled into other jobs. And then probably the closest I came... So in other words, I'm dealing with a lot of these major transformations and always focusing on the meta side, like the organizational. What are the things that are wrong? How do we fix the human and technology? There's a phrase called sociotechnical systems, right? And that's always where I've been most interested. And then even I was at GE Capital and I'll say this with all honesty, I was a Green Belt, but they gave out Green Belts for Six Sigma, [laughter] right? My wife was actually a Black Belt. And... But we would do... And I know Deming hated Six Sigma and all that, but we were doing... It was all around me, right? And then it wasn't until really the DevOps age that we really... That was a major shift in my career because before everything was sort of first generational from a technology or sociotechnical system, very command control, you sort of you installed software in a certain way. There were so many principles that were being broken by DevOps. And I was already an older guy at that point, but I was learning from these young kids and I'm known as the person who introduced DevOps to the US.   0:06:52.3 John Willis: And... But so there is where we started going back and understanding... We thought everything was new. We were creating DevOps, we were doing all this crazy awesome stuff. And I remember a friend of mine, well, a good friend of mine wrote a book called 'The Phoenix Project' by Gene Kim and it's a rewrite of Eliyahu Goldratt's 'The Goal'. And I was like, oh my God. And I read all of Goldratt's books and I was like, okay, this is the way, this is the way. I've seen a glimpse of some 30 or 40 year knowledge that I was missing. And then it was an open space seminar. A good friend of mine says, "John, you know." and I'm going off about Goldratt and he's like, "You know this all goes back to Deming." I'm like, "Who's Deming?" I'm like, "I just spent a year learning everything I could about Goldratt. He is my North Star. And now you're telling me..." And he challenged me. He said, "John, I'll leave it at this. You go read Deming's 14 Points and if you don't... I know you. I know what you're gonna do once you do that." And he was spot on. That was it. I was... And I don't... I'm more into the Profound Knowledge and we could talk a little bit about my journey there. But I was like, oh my goodness, this is the real and I love Eliyahu Goldratt and I love 'The Goal' and I love all his books. But Deming was hitting... Was like punching me right square in the face.   0:08:12.0 Andrew Stotz: So to what gap did it close for you? I mean, Goldratt is very specific about the main limiting point...   0:08:23.2 John Willis: Yeah.   0:08:23.3 Andrew Stotz: The bottleneck, how do we solve this?   0:08:25.6 John Willis: So the 14 Points, sort of one of the jokes is that it's mandatory to put the 14 Points in a DevOps presentation. So we were doing that dance a little bit, but then when I got a little serious about it, actually me and Gene Kim, we did a book. Goldratt has this book called 'Beyond the Goal'. It's an audio-only book, right? And I convinced Gene about five years after he had written 'The Phoenix Project' to do a Beyond the Phoenix Project. And so he did Goldratt, I did Deming. And at that point, I knew enough about Deming to say, "Okay let's..." And then we talked about DevOps and the principles of Lean and we did... I always, when somebody says they bought that audiobook, I'm like, "Oh, you're the 15th person that bought it." right? But it sold more than that. But the... But that's when Gene tapped me on the shoulder and did that. We went to the studio. It was a highlight of my life, literally going to the studio with Gene and literally recording for a couple of weeks. And he's like, "John, you really need to write a book about Dr. Deming." And then I started building a folder. And then the crash course then or the trajectory at that point not really crash course is that you realize the 14 Points are, no disrespect, but vaguely interesting. You're like, "Okay, Mount Everest is System of Profound Knowledge." Right? Because that's the mount... And that's the one where you're like, "Okay, I read 'Out of the Crisis', I think I get it, the 14 Points make sense, but like, what is this stuff he's talking about here?" Right? And then you read 'New Economics' and it's like, "I still..." And then, so for me then, it was, I'm just one of these person like I have... And again, I'm not trying to make myself look like I'm special, but I have to learn. I can't... I'm the worst person in a... If I was in your class, you'd kick me out of your class because I'd be sitting in the front row and you'd be, "Oh no, not you again."   0:09:26.2 Andrew Stotz: Another question.   0:10:26.9 John Willis: Yeah I know just another question. I mean, I've been cut off by professors and... But the... I'm like, "All right, I got to get to the bottom of this." And that was almost a 10-year journey for me of... I had to know. Because it was clear to me that Profound Knowledge or System of Profound Knowledge was not something he invented out of thin air. Like, I had to figure out, where did he get this? And that started the genesis of how I was gonna write the book, which is the journey, 'Deming's Journey to Profound Knowledge'. And that sort of took me into... And what that did, while I was learning that, of course, Deming opened the door to guys like Russell Ackoff and Ashby and just all these other sort of management thinkers and even Drucker or whatever, right? They all sort of started filling out a palette. But meanwhile, I'm still driving hard on Deming. And what that gentleman said to me, good friend of mine, Ben Rockwood, who I give tribute in the book, is when he said to me, almost like tapped me on the head, like, "John, John, John, it all goes back to Deming." Like, you start seeing the clarity of DevOps, Lean, Agile, it all had these things. And so I spent literally a long time really trying to figure out, okay, how did Deming get... We all know variation is relatively simple to understand where he got that from, right? Shewhart's work and all that stuff. And I'm not trivializing the impact of what he did for it, but knowledge was interesting. And knowledge I had to go to pragmatism. You had to understand what C.I. Lewis is. And that's a book that Deming said he had to read seven times.   0:12:03.1 Andrew Stotz: He had to read it seven times...there's no hope for me.   [overlapping conversation]   0:12:05.2 John Willis: That's right. No, actually I did Tom Sawyer. I have a friend who's one of the smartest people I know. He's like, "I'll read that." And he explained it to me. But and then I read it. But so knowledge, this sort of, how do we understand? How do we know what we think we really know, right? That whole epistemology and all that. To me, this is like sort of, just give me more, right? And see more and feed me. And then system thinking was interesting, appreciation for system, because then that got me back to, okay, and there was some missing links there. And I found that one of the guys who came up with General Systems Theory, von Bertalanffy, him and yeah, Ackoff. Him and Ackoff had sat in a seminar of his like in the '40s and so there was some influence there. And there's a lot of work that's been going on in systems thinking after him. But so then I got that and then the psychology is tough, right? But so I put all that together. And then my... The thing I was telling you earlier is, when I do the research for a project like this, I read everything that there is about it. So my AI book, I read 25 books on AI, history of AI. I'm up to like 10 books on the history of quantum computing.   0:13:23.4 John Willis: With Deming, I've read every book that's been written by Deming, at least the ones that I know of, right? And one of the things I noticed, the pattern was that they all... Again, I'm just simplifying it. They all started off with a little bit about the biography, some a little longer than others, but in general, most of the book was about the management theory. And it was really a book that was being sold as a business book more than it was as a biography. And one of the things I've always loved about Michael Lewis or that sort of story of nonfiction storytelling is he tells a biography, it's a disguised biography and I thought, my God this... And as I kept compiling over the years all these great stories, you know, the Doris Quinn story, right? The woman who, she went to New Guinea and Deming... Spent the last two years of her life with Deming. I mean, most of the people that are Deming disciples didn't even know about this woman. And she spent the last two years of life traveling with him. So I met her and interviewed her. And the stories, you know Hawthorne, and there was such... It wasn't just that, I love the idea of trying to explain how he got to management theory and epistemology, how did he get to the science of variation? That's all good stuff. But I wanted the stories, and the stories were just glorious. As you enjoyed the book, right?   0:14:52.4 Andrew Stotz: Yeah.   0:14:53.3 John Willis: I think that was the fun part of not just explaining the sort of tech, if you will, but it was the, like the, oh my God, this... I've got to... I had three chapters like six years before I wrote the book.   0:15:06.9 Andrew Stotz: Yeah. Well, here's chapter 15. And you say, "Being a student of Deming, I came across an untold firsthand account of a beautiful story from one of his acolytes, a woman named Doris Quinn," who you're talking about.   0:15:20.0 John Willis: Yeah. Yeah.   0:15:20.2 Andrew Stotz: And... But the... I also had marked a section related to talking about the final days, saying...   0:15:29.7 John Willis: Yeah.   0:15:29.8 Andrew Stotz: "Doris said he was a very, very driven man. He went nonstop. I remember one time we were in Kansas City and a reporter asked him, "Dr. Deming, when are you going to retire?" And the master said, "Why would I do that?" "Well, so you can do what you want." the reporter said."   0:15:45.7 John Willis: Yeah, yeah, yeah.   0:15:46.4 Andrew Stotz: "Dr. Deming looked at him and said, "I am doing what I want."   0:15:50.2 John Willis: Yeah. You know what I love about her? There's a really good book from Amazon called 'Working Backwards'. And they tell us... The guys who wrote it were pretty high up early on in Amazon. They tell the story how if they traveled with Bezos and you didn't have a whole set of questions on the plane ride, you got in trouble. And so Doris Quinn tells that story, how she literally, she tells the story of how she traveled with him and he's like, "Doris, what other questions do you have for me?" And if she didn't have one, he'd get mad at her. He wouldn't talk to her. They'd have to wait a day because normally they'd go and have gin together. But if she didn't have questions... And some of it's in the book, some of it was in conversations had... He'd literally get mad at her and not talk to her for the rest of the day [laughter] because she didn't have any questions. You got to love that, right?   0:16:39.2 Andrew Stotz: And you also did a little follow-on about more stories that you didn't get in the book, I believe.   0:16:48.1 John Willis: Yeah. Yeah.   0:16:48.2 Andrew Stotz: Tell us about that.   0:16:50.1 John Willis: Well, so I wrote the DevOps Handbook, right? And that was a collaboration with four other authors and took us six years to write it. So my wife says, "What parts did you write?" I'm like, I don't know, man. There were a lot of parts that went in and out and moved around when you have four authors, and it was really a very techie book. So 'Deming's Journey to Profound Knowledge' was really the first book where I literally... It was my book. And so I had written the book. In fact, my favorite story, and Doris Quinn is a great story, my favorite one was... It was basically called The Devil Wears Prada. And so, and Kevin... I don't think Kevin, his mother even knew this when we were talking that his grandmother literally was... I mean, I think they knew that she worked for the pre-BLS, she was a statistical mathematician and all that.   0:17:45.3 Andrew Stotz: Right.   0:17:45.4 John Willis: But after the war, she worked before she... I don't know if she met Deming, but she certainly wasn't married to him, Dr. Deming. She worked on the mail-order business was getting all these returns for women's sizing. And so whatever the pre-BLS was, Bureau of Labor Statistics, commissioned her to do a study. And she's the one who invented women's sizings. Because before, they didn't really have all the different measurements. So she ran a whole statistical study. And so today... So I use the whole story of the Anne Hathaway, the 14 is the new seven and all. So I start that off. Anyway, so I go to my publisher and my editor, who I love, she'd already knocked out a lot of stories, but this is the one where, "You're not taking this story from me. You're not... This one is not." And then she's so good, she'll be like, "John, let me ask you this. Does it fit the arc?" By this point, she understands System of Profound Knowledge, she's read my book quite a bit, and she says, "Does it fit the arc of System of Profound Knowledge?" "Uh, I hate you." And I took it out. And then she said, "Well, why don't you make a blog post out of it?" And I'm like, "Oh, no. I'm gonna make another book." And I took all the stories we cut out and I called them Profound Stories. And yeah, so...   0:19:06.6 Andrew Stotz: And for the listeners and viewers, you can get it on Kindle and then you can read the stories. And I think for the Deming community, that's one of the best parts about this whole thing, is just there's no great collection of stories that has an arc to it, as you said. So I enjoy that. I wanna also... It'd be interesting to understand how your thinking has progressed about Deming, because obviously you talk about this introduction phase where you got to know him, then you have this intense phase that you seem to have a knack for, then you write the book, you have all the excitement about that, but you're on to other things.   0:19:46.8 John Willis: Yeah. Yeah. Yeah.   0:19:46.9 Andrew Stotz: And there are remnants of Deming that remain with you, but there's others that have fallen by the wayside. Maybe they're not as critical as you may have thought or... I'm just curious, how does the Deming thinking unfold in your life now?   0:19:59.7 John Willis: I... It's become sort of a fabric. So, and I wanna get back to that, but I do wanna say one thing... I'm so... Whenever somebody tells me the story that they met Deming, I have two reactions. One is the hair on my skin, my arms go up thinking, "Oh, I wish that was me." But then the other one is like, I'm sure he would have yelled at me and got mad at me. Because he would basically be like, "That's a stupid question, Mr. Willis." So I have this fantasy of which way it would go. But anyway. Yeah, the question around what do I think now? I think, so if you go back to the narrative, he... And it's hard not to be a sycophant of Deming, right? But I am a sycophant of Deming, but I try not to be. And... But even in the book, I tried not to be a sycophant, right? I went out of my way. But so when I say this, Deming was in my DNA before I even knew who he was, right? Like at Exxon, at GE Capital, the Six Sigma stuff. And again, I understand for people listening, oh, the Six Sigma went the wrong direction, but it originally was stemmed from a lot of his ideas. And so it was there. So it was sort of foundational, and he was the lighthouse to put it in... And then System of Profound Knowledge became the taxonomy for me for this stuff that was in my DNA. And so in one way, there is this thing where you move on to a new transformation. And we're in one right now. We've been in one. I've been in one for five years now, which is with the AI. And again, same thing for me is it's not about the AI, it's organizational behavior, organizational patterns, what is the sociotechnical science behind how do you do these things?   0:21:48.4 John Willis: But so you forget... I always say technology shifts are like fluorescence. People use the metaphor of like spring and winter, like AI winter, AI spring, and they've used it for other things than AI. And that's sort of like a rebirth. The fluorescence is good because it's like an energy. It's always rolling forward. It just gets a fluorescence bright glow periodically. And so what the problem with the metaphor works for me because the energy is there, and the energy are the patterns that are consistent. The fluorescence is the blinding effect. So back to like, did anything fall off the wayside with Deming? Yes, for a little bit. Because in 20... Basically I started playing with the early versions of GPT, the OpenAI models, back at version two, and that was like around 2020, right? Even before ChatGPT, right? So that whole experience before we started even thinking about what this was gonna look like at a large-scale bank was fluorescence. Like I'm not thinking anything about Deming from 2020 to 2023. In 2023, 2024, I start getting asked to come into some of my larger clients. And I'm following it too, and I'm sort of... I'm starting to become aware that this is becoming... In fact, I'm pretty sure in the grand scheme of things that don't matter in the grand scheme, I'm pretty sure I got first use on shadow AI, in an article I wrote in like 2022 or 2021, right?   0:23:27.2 John Willis: So I had already been recognizing there's a problem pattern here. We got the shadow IT with the cloud stuff, now the shadow AI, and I could see this steamrolling happening so... And then I started getting called in organizations, and then I still was the wayside of the Deming. Like, I didn't walk in going, "Hey, I'm gonna hit the punching bag with Deming." I was coming in trying to figure out what do I know about patterns with this fluorescence metaphor that are new and shiny, and what are the things that are old that have been relevant for the five decades and the six transform... At least six transformations I've been through that are common in everyone. And I started seeing that. And then what was funny, as I'd be writing and researching with AI, it knew so much about me that even as early as like 2024, I had loaded in my Deming book. In fact, one of the ways I learned AI is I took the 'Deming's Journey to Profound Knowledge' and I turned it into an augmented general retrieval, or what they call RAG database. So I learned a lot about AI because I knew what my book was, and I could validate what was hallucinations.   0:24:36.3 John Willis: Anyway, but it knew enough about me. And then what it would periodically do, it would say, "Would you like Deming's version of this?" I'm like, "Yeah, I would love that." And then I... It started refreshing my memory of what the real context going back to my friend Ben Rockwood, it all goes back to Deming. And so now it's actually on the... It's more than ever, it's on the forefront because I'm being brought into major brand organizations that are seemingly failing on AI at the institutional, organizational level. And there's not a line of these people. In fact, most of them don't wanna talk to me because they don't wanna hear what I got to say, which is slow down. And I'm okay with the ones that don't wanna hear that because I don't really wanna work with them anyway. But now I'm seeing with absolute clarity two things. One is it all goes back to Deming, and all the problems that we're seeing can be classified in Profound Knowledge.   0:25:37.1 Andrew Stotz: Tell us more about that. Because for those people that... There's so many different components. When I got introduced to Deming, it was the 14 Points, 'Out of the Crisis'. And then I left America in 1992, so I wasn't there for 'New Economics'. And it... And I did other stuff for 20 years, 15 years, and then I found New Economics. It's like, "Wow, this is different from that."   0:25:53.1 John Willis: Yeah.   0:26:09.1 Andrew Stotz: Yeah, so between the deadly diseases, the 14 Points, the System of Profound Knowledge, there's so many parts to this.   0:26:15.9 John Willis: No, I've got... Yeah, I definitely got. And I'll tie it right back to the... In 'Deming's Journey to Profound Knowledge', I tell the story of Knight Capital. And Knight Capital is an interesting... It was the second highest high-frequency trading, black box, latency arbitrage on the NYSE. A sysadmin made a configuration error. They lost $450 million and don't quote me on the exact numbers, but like 450 million in 45 minutes. They were arbitraged at billions of dollars. They were literally out of business with a cease and desist from the SEC. And I always tell people, like, that's the last thing you want if you have a business is a cease and desist from the SEC, right? And at that point, we would say things like the consequences are high on how you think about humans and technology. Well, guess what, sports fans? Knight Capital is a drop in the bucket of what we're gonna start seeing with AI. We are going to see these... And there's the Equifax breach, there's all the... We're gonna see non-survival. I mean, Knight Capital didn't survive. Equifax lost five billion market cap in a week and then recovered all of it, right? But I'm saying there's been some major brand recognition problems pre-AI. You're not going to be able to survive these with the power...   [overlapping conversation]   0:27:41.7 Andrew Stotz: Abilities are gonna be shaken out.   0:27:43.6 John Willis: Yeah. I mean, and the brand damage. Brand damage by the escape routes of how... I mean, let me just step and I wanna go back to answer your question. But one of the things that people don't recognize right now is the machine that we have now has infinite knowledge at machine speed, and it's probabilistic. I mean, just add those three things up, that it has the ability of infinite knowledge, something no human could even close to. So it'll make decisions, it will escape, it will figure ways out, it will try a clever way to do something that probably no human would do that could be a disaster. Right? So the consequences are incredibly high. So then now, okay, let's really dust off: it all goes back to Deming's stuff. And so to your question, I think that I would love to see, like, you write a fantasy novel about how Deming came back to the future and was sitting here listening to what was going on, and he'd be screaming. He'd be telling everybody... And this is the thing I'm... I don't scream, I'm too old these days, but like, I literally cut off a CIO real quick in my conversation. I interview a CIO, they think they're interviewing me, I'm interviewing them. And if I'm like, "Yeah, no, you know what? This isn't right." "Well, what do you mean, John? We had..." "No, no, no."   0:29:09.1 John Willis: Because I can see right away that what the CIO or the leadership is... They think AI is a technology transformation. It's an organizational learning transformation. Deming would see this and scream this out loud. And that's the part of the blinding fluorescence that we're missing. We should know this by now, right? And so all these technology shifts, they think they're technology revolutions. They're really... I mean, they go back to the basics. What are the systems are they changing? Are we understanding what variation is? How do people learn? Are people not learning? Are people... A good example is, in every organization that I travel and this has been true for almost every technology transformation, but now it's glaring. I like to simplify. I say there's three groups. Let's take AI, right? Three groups in an organization. And usually, again, I don't care about really start-ups. I do care about startups from an investment standpoint, but I don't care about them from my day job. And so this is a bank or a large retail or insurance company or manufacturing. And so the CIO is like, "We have an AI strategy." And by the way, let me step one more thing, we learned a lot in the DevOps revolution, but DevOps was never a board-level conversation and it was never a Wall Street conversation.   0:30:37.1 John Willis: AI was immediately a board-level conversation. And so the pressure on a C-level, a CEO and a CIO, is "You must do AI yesterday.", right? And so now what's happening is the CIOs are literally doing knee-jerk reactions of like, "We're gonna have... We got 30,000 employees. If we can get all 30,000 employees using AI with a 3x productivity rating, we'll have..." you know, like, oh my God. And then they say, "Make it so." And I call this the strategy versus talent systems gap. And I don't mean how talented they are, I mean understanding what your talent system looks like. And to keep it simple, most talent systems look like this, they have one group that is passive-aggressive. They don't like change. They've been doing the same job forever. In this new world, they don't believe AI works, and they're passive-aggressive about it because they know they can't say they don't want it. When the CIO says, "We must do AI." they have to go, "Oh, we'll get to it next month. Next month. We'll get to it next month." And then you have the second group in the middle. They wanna do the right thing, but they're high enough... As we know, if you work for a bank and you're in a high enough position, if something really goes wrong, you're lucky if you get fired. You could get a fine for two times your salary, or you could actually go to jail.   0:32:02.3 Andrew Stotz: Right.   0:32:02.4 John Willis: Right? So that group is like, "I wanna use this, but you're not clear. There's no clarity from your... You guys all wanna do all this...   [overlapping conversation]   0:32:11.7 Andrew Stotz: There's risks everywhere.   0:32:13.3 John Willis: But we've got the OCC and there's no clarity on FDIC and like, what does this mean?" "Well, I don't know." "Well, then I'm not touching this stuff. And do you have my back?" No. Right? And then the third group is the classic, do now, ask forgiveness later group. And so you could put this all back to driving out fear. Because what happens is you've got a strategy. What is that, it's number eight, I think. I think that's right, but it doesn't matter, right? It could be nine, it could be seven in the 14 Points. So the CIO has said, "This must happen." And then, again, board-level, horizontal, vertical pressures. And then everybody's... And they're not even understanding, do they have the capability? Do people wanna do it? Does the middle group even understand the clarity? And so the first thing that you should be doing is, in the clearest sense is driving out fear. So the do now, ask forgiveness laters are fear that if they don't do it, they won't be the leaders. The middle group is pretty clear what their fear is, you don't give them clarity of what they can and can't do. And the third group is fear of changing, losing their job, "AI is gonna replace me." So that's all a spectrum of understanding fear at the human level. And so maybe that is one of the first things you should address before you actually set a grand strategy. And we know Deming has a lot of thoughts about this, and then we break into sort of like...   0:33:48.6 Andrew Stotz: Okay, so let's stop at that.   0:33:50.1 John Willis: Yeah. Yeah.   0:33:51.6 Andrew Stotz: Fear.   0:33:53.0 John Willis: Yeah.   0:33:54.5 Andrew Stotz: That is something that remains in your belief system that is supported by Deming. Did you have that awareness when you were in... Let's just think about before you came across Deming.   0:34:08.1 John Willis: Oh, oh, yeah.   0:34:08.9 Andrew Stotz: Let's say you were doing all that stuff with Goldratt and all that but then when you came to Deming, did fear come up as, oh, wow, this is obvious, or did you learn that later and you see it now more?   0:34:21.3 John Willis: Andrew, this is why you're good at your job. This is good. This is a great question. No, really good... I love questions where I have to really deep think about it. So I think that I kind of always... It wasn't until DevOps that I understood what failing was about. So just before, like the nanosecond before I'm learning what Deming's saying about PDSA and failing and how the whole structure of learning is, I had this sense, but I don't think I was baptized yet on... And to me, I'll put fear and failure in the same bucket, right? Because it's a very... They are, in a lot of senses, the same thing. But certainly I can put them in the same bucket. So I had a sense, but it wasn't until we started seeing fast fail in DevOps. So DevOps, one of the things with DevOps was shorten the feedback loop. That was one of the core tenets of DevOps. Like, instead of waiting three, four weeks, five weeks, six weeks to deliver some software, or six months, and then by the time you deliver it, you're onto... The whole group that built it is now doing something else, let's just be able to turn a line of code into a delivery now. And that was revolutionary, right? And it's changed the universe. I mean, you don't have the big AI providers today if you didn't have DevOps.   0:35:46.4 John Willis: You would not have Airbnb and Uber and all that if you didn't have DevOps. Right? So that... And that sort of realized that this fast feedback loop is really an interesting thing, right? And the fact that it is telling you fail fast because then you learn fast and then you correct fast. And you... And so right around that time, I'm doing this research on Deming and starting to understand epistemology, the theory of knowledge. And so, again, I don't think... Like I said earlier, I don't think I had the... And vocabulary's too loose of a word. I don't think I had the structural understanding. Like, I didn't know what the word epistemology meant [laughter] before I started learning Deming. So I... So it was really... There were flavors of understanding what learning was, but it was DevOps that literally sort of put it to the front of why this works, how it does. And then I got... Again, a lot of careers is just being lucky, right? I just happened to sort of tap into this Deming thing through meeting Gene, learning about Goldratt, and then having this good friend tap me on the head and say it all goes back to Deming. And so, so and then that point, then it sort of opened up the whole world of epistemology. And it wasn't until I wrote the book where I started realizing it was pragmatism.   0:37:07.2 Andrew Stotz: And did that... Does that fail fast, does that method of accelerating the feedback loop that happened through DevOps as you've explained, does that remove a lot of fear from where people would be...   0:37:19.6 John Willis: Oh yeah.   0:37:19.7 Andrew Stotz: Much more... So that all of a sudden says, "No, no, no, it's okay to fail. We'll see that in a day, in two days, and then we're gonna iterate from that." So, okay, I understand how that kind of reframes fear of failure. But then you now talked also about the idea that it's a big element that you see, everything goes back to Deming. Nowadays you see this fear. How does it connect with how you see fear today in the workplace or in organizations?   0:37:50.6 John Willis: Well, again, I think it's the same thing. I mean, I hear people talk about now that one of the big discussions right now and I always look for the anti-pattern of where the discussions go, right? There's this big discussion about AI slop, right? In fact, last year it was we were all concerned about hallucinations. And I'm not dismissing that, but like, if you know how to run AI and infrastructure harnesses and build ground truth in an organization and you understand how your internal audit works, hallucinations are not, let me repeat this, are not a problem in 2026. They are not a problem. You could make them a problem by not understanding what I just said, but they are not a problem. So today's hallucination frenzy scare is what's called AI slop. And I guarantee you in 2027, it'll be something else. But... And I'm not saying it doesn't exist. It does exist, right? But so people are sort of calibrating, what is the cost... There's this counter-reaction to AI coding, not even assistance, people are now using pure agent coding, right? And the question that I think Deming would ask and maybe if there is some divine proxy of me speaking through Deming or Deming speaking through me is that the question that people are now looking at is, "Slop is so bad, we're creating so much code, should we ease back to the longer cycle for ideation and delivery and that process?" Because it's costing us a lot of money on the implementation side.   0:39:20.8 John Willis: The error, the time it takes to remediate the slop is starting to outweigh. Well, that's just bad organizational behavior and design. But okay, but so now I've had this argument with a major corporation, the CIO the other day, where I was saying you have to create this hourglass effect. For you got to create the funnel and then you got to have the control system that slows things down and speeds it up. And he was saying, "But yeah, the cost of the slop is all this stuff." And I said... What I said is, "Yeah, but what you're missing is..." and this is a company that did really well in DevOps, I worked with them years ago through the DevOps transformation and they understood the fast feedback and I had to re-explain the idea that, yeah, there's a cost to AI slop, but if you're not calibrating that with the cost of non-fast feedback and learning because your fear is this slop is gonna get us back or make you knee-jerk reactions, we're gonna see if we can slow down the ideation, maybe we move too fast. And again, I don't... There are scenarios where that is absolutely true, but that is, first understanding your problem. And your problem isn't slow down the ideation process.  Oh, we should spend more time ideating because what does that do? It goes back to the old school where we're spending way too much time in the ideation. By the time it actually gets implemented, the feedback loop of learning is way too long. So I think you're better off at least measuring... And this is where variation comes into play. Measuring if I decrease the ideation time, do I get more value from the fast feedback because I can understand the problem, I can fix it faster? And again, that was one of the core tenets of DevOps. But I find people now pushing back because they're scared of AI slop and it's costing more remediation time. So again, I think these are multiple ways of thinking about how fear...   [overlapping conversation]   0:41:26.9 Andrew Stotz: Yeah, so besides...   0:41:27.1 John Willis: The fear... And I was just gonna say one... Sorry to cut you off.   0:41:29.0 Andrew Stotz: Yeah, go ahead.   0:41:31.0 John Willis: But one of the biggest problems I've seen over the years is I think the knee-jerk reaction is the symptom of fear. Right? And so I've seen this over and over where a bank gets pawned and so they put out a req for a hundred IT sec professionals in a city where you can best case hire 10 one year. Right? So again, I think that there's that combinatorial fear, knee-jerk reaction.   0:42:00.5 Andrew Stotz: If you were to pick one other area of Deming that really stands the test of time for you, as opposed to a Deming disciple, let's say someone that's trying to implement everything that he's talking about and they're trying to do it in their little manufacturing company or their service business, which I interview those guys.   0:42:09.1 John Willis: Yeah, yeah.   0:42:17.6 Andrew Stotz: But in your case, in some ways it's like you swam through a Deming period of time, absorbed everything and now you're on to other stuff. I'm just kind of interested about what else is lasting?   0:42:35.2 John Willis: Yeah, no...   0:42:35.3 Andrew Stotz: Just one thing.   0:42:35.6 John Willis: And I think maybe, Andrew, maybe part of a problem of the institutionalized Deming conversations is it doesn't always have to have the word Deming in it. In other words, I'm not criticizing you. I'm just saying that I see it more as it's in my DNA. It's part of how I look at things. And so I'll give you a great example. This is pure Deming, but I wouldn't think of it as, "Oh, let me explain this way I want you to evolve in AI because Deming would say..." I don't start that way. But I will tell you that when I came up with this idea and it's called an ideation, AI ideation hackathon. Right? Because everybody's running tech hackathons, AI hackathons. And that's a terrible, terrible, terrible idea. And there's technical debt, you're just making a lot of mistakes there.   0:43:01.7 Andrew Stotz: Right.   0:43:27.8 John Willis: It's a knee-jerk reaction. So the ideation hackathon is sort of something unique. I was doing some consulting for the CMO of a large database company, but got into AI and I helped them, it's called MongoDB, I don't do any work for them anymore but I helped them launch their AI solution. And I did a lot of technical hackathons and I just kept seeing how all the chaos of these technical hackathons, people would build stuff, it would just wind up in GitHub repositories, it would go nowhere. And I finally said, "Why don't we just strip out the technology and focus on the ideation process?" Right? And so that becomes a pure implementation of PDSA. Right? Because in a PDSA, if I was gonna sort of explain it in a Deming way, a hackathon would be a terrible way to implement a PDSA. "So let's build the Sistine Chapel and then let's figure out, let's study the results." Or why don't we start small as an organization? This is why I tell my first... Right now, CIO asks me, "Okay, John..." and usually the conversation ends at this, "What would be your 30-day, 90-day plan, 180-day plan?"   0:44:41.0 John Willis: I'm like, "Not to have one." Yeah, but then I sort of, I talk about two ways to deal with where they're at. And I say that one is something I've done over years, was a qualitative. I do these large where I interview 300, 400 people and I use true qualitative analysis approach to interviewing people, build categories, and structurally design what the place looks like. Right? And that's very... But it's very expensive and it takes... Expensive not in the money, but the time. The new sort of one that CIOs, at least a small percentage of bite onto is, "Why don't we run some ideation hackathons?" And here's the value, you're not writing any code. You're letting people focus on learning how to ideate. Because remember I said earlier, AI is not a technology transformation, it's an organizational learning change. So let's focus on the organizational learning structures without giving any of the technology or the code. But do the hackathon, and the readouts are what you would have built minus the specific tools. And it's glorious because you actually you get to see all the stuff without expending tokens. You don't build the risks. Because anybody who tells you they can sandbox experiments in AI is lying, absolute lying. If anybody's followed the recent Open AI Hugging Face one, it was the most insane escape.   0:46:10.9 John Willis: So, and then the other idea is I don't want 30 of my executive administrators all picking their own tools and all trying to solve all their C-level bosses' problems. And by the way, there's the whole security exposure is, I've done ideation hackathons where an EA says, "I got this idea. I wanna take my P&L or my profit or whatever of some proprietary information on a spreadsheet and throw it into Claude and have Claude..." I'm like, "Yeah, no, no, no, no. Let me explain how that goes into Claude." It literally, it traverses through a bunch of internal structures that leave stuff laying around. And by the way, even though they say they don't train on your data, they have your data. Like, you don't want that data in there. So the ideation hackathon, I think, is a really good... And so I think the main point to that is, although I don't walk in the door and I think one of the... Again, your listeners, I'm like attacking your listeners basically but I think one of our problems is, we try to build our, some people try to build their skill set around like, "I'm a Deming expert. I'm gonna teach you how to do Deming and everything's gonna be great because of Deming." as opposed to let's just make the water Deming, the water, the fabric of what we do. And every once in a while it does make sense to be able to say, "Hey, you know that..." And I won't go back and say I won't lead and say, "Well, Deming tells us..." because I'm not gonna get the gig if I just go too much on Deming anyway. But I will say at some point, I'll say, "Here's the deal. We've got over 100 years of management knowledge on how to do the right things. Let's pay attention to those things." Right? And that's the Deming, that's the Shewhart, that's the Ackoff, it's the Ashby, it's the... We can go down the list, right? Senge.   0:48:06.2 Andrew Stotz: One of the things I was thinking about a while ago was, when Dr. Deming wrote 'Out of the Crisis', he was telling us that we were in a crisis and that we needed to think a new level of thinking. Did it work? Are we out of the crisis? Did people take on board what he taught? Where are we now? That was 1986.   0:48:30.7 John Willis: Yeah, I know, I know.   0:48:31.7 Andrew Stotz: On the one side you can say America's brought incredible amount of innovation and businesses are huge and other countries and other regions struggle to catch up with America. So on the one hand, you could say materially it appears like we're there. But on the other hand, when you look at the way things are managed, you could argue, yeah, not much has changed.   0:48:56.7 John Willis: It's a tough one. It's a tough, I mean, let's just face it, large-scale organizations of high consequences are so full of bureaucracy. Humans interacting at that scale is probably the hardest organizational problem there is, right? You can study anthropology for the next 40 or 50 years and still not have a good clue of how to. And people do, right? So, yeah, it's hard. And why things work, why they go through the... I mean, I talk about the Peterson at Ford, right? And then Ford, turns out there were a lot of other... There are these other conflicting things that happen, industry changes, financial models change. Why did Ford have this incredible success when Peterson called Deming? And then some number of years later, they're back to the old ways, right? We got General Motors, we got all that. I will say this, and I hadn't really thought about this until you asked the question. One of the things I did focus pretty heavy on is Deming's influence on Toyota. And now there's a lot of debate and this is where people get pretty mean with me. I mean, Dr. Spear, I love Dr. Spear. He wrote 'High Velocity Edge' and he's a genius. He was MIT Sloan. And every time I'd see him, "Well, you know, John, Deming and that Six Sigma stuff never worked." And I'm like, "Alright, first off, he didn't do Six Sigma. Second off..."   0:50:21.6 John Willis: And then he told me one time, he said that Deming had no influence on Toyota. I'm like, "Yeah, that's just not blatantly untrue. I'm sorry, you're a PhD genius, I'm not. You're wrong." And so I've been hitting him... Over the years, I hit him with a lot of evidence of Deming's influence on Toyota. And it even goes back to Denco Densco and some of the same. But here's the thing, right? I... There's a woman called Katie Anderson. She's got a book, Learning to... 'Leading to Learn, Learning to Lead', where she met a guy who spent four decades at Toyota, this Dr. Yoshino, and she interviewed and wrote a book about his career. She runs a Japan study trip. I did a Japan study trip a couple of years ago and I got to meet him. And I... He hired at Toyota in 1966. He worked alongside Ohno, Shingo. He was there. He was a junior guy, but he was the guy they were yelling at, "Do this, do that, do this." right? So he was there.   0:51:23.9 John Willis: I told him, I said, "There are people that believe in the US that Deming had no influence on Toyota." He could not believe that that question even could come up. And he told me, he said, "John...", he doesn't really speak good English, we had a translator, he said, "Let me tell you what Deming taught us. He taught us to understand data." And at first I didn't grok that, but then I started thinking about variation. And although there's a lot of people that say that that didn't carry through too, but if I look at what Agile, Lean, and ultimately become DevOps, I in that book trace it pretty strongly back to Deming's influence on Toyota. And you can't deny Lean is not the core of Agile Lean, today's Lean, right? Toyota Production Systems, to be clear. So then I would say that the lasting impact of Deming is not what happened in the '80s when the Americans started understanding what he did, because maybe that translation, maybe it had to be... I asked Doris Quinn this and she said, "Oh, that's interesting." Because I said this, I said, "Could it be that Japan influenced Deming as much as he influenced Japan?" And I think it did. And I think the point was they were...   0:52:45.6 Andrew Stotz: It was a love affair.   0:52:46.3 John Willis: And yeah, and they were more malleable to his messaging.   0:52:50.3 Andrew Stotz: Well, they were more malleable because of their condition, but they also were more susceptible because of the structure of the society.   0:53:01.6 John Willis: Exactly. Yeah, but even the sort of community structure. I'll tell you another quick story on that study trip where we visited an elementary school. And in the elementary school, they had no janitors. Every sort of public school is like this, right? They have no janitors. And the kids, they literally clean. At about 2 o'clock, a bell goes off and some kids rotate and they do the bathrooms, some people... Imagine in an American school, some ritzy parents, "My son cleaned the bathroom?" It'd be on CNN. And they rotated serving food.   0:53:20.7 Andrew Stotz: Child slave labor.   0:53:39.7 John Willis: Yeah, yeah, yeah. And then we got to interview a couple of them and they understood Kaizen and all. So me, I start thinking about like, oh my God, this is our... Western culture is so broken because we basically teach everything that's antithetical to that. They get out of college and then maybe they get lucky and get into an Agile, Lean-like structure and we have to break it all down, where their kids come out completely in that sort of community. And we went to a lot of tier-one distributors. You could see the understanding of community and the power of it. And so what I'm saying is, what Deming was giving them saturated to have such an impact on TPS, and it's unquestionable the impact TPS has had on Lean and Agile and DevOps. And if you follow my thread, Lean, Agile, and DevOps have certainly impacted... You don't have places like Google for good or bad, Facebook for good or bad, Uber, because they could never scale...   0:54:40.0 Andrew Stotz: Yeah.   0:54:40.1 John Willis: Without that. So again, I think, I really hadn't thought about this until you asked the question, is I think actually the Deming 1980s renaissance of Deming was a... Seemed like a bubble in retrospect, unfortunately. But actually indirectly, he's had more... And there's a good part of the book that tries to cover that. I do the "What would Deming do?" after he died, if he was alive and all the stuff that happened there.   0:55:06.3 Andrew Stotz: Yeah, I mean, definitely DevOps. And then Eric... What was his... The Lean Startup one?   0:55:14.0 John Willis: Eric Ries. Yeah, Eric Ries. Yeah.   0:55:17.3 Andrew Stotz: That also... Those two really probably did more to promote PDSA and that aspect.   0:55:23.4 John Willis: Yeah, that's right. Oh yeah, scientific method. There is a copy, and I cannot find it anywhere, there is a copy of Eric, one of Eric Ries' Lean Startup books that does attribute to Deming, and I cannot find it.   0:55:36.5 Andrew Stotz: It does or does not?   0:55:38.7 John Willis: Does. Does. He's got this thing about the 75th birthday or something. Do you have it? Because I can't find the copy, at some point I read a copy where he does a tribute to Deming.   0:55:50.0 Andrew Stotz: Yeah, I think there's some...   0:55:53.0 John Willis: And then...   0:55:53.1 Andrew Stotz: I have the book and I think there is some reference in the book.   0:55:57.5 John Willis: Yeah, there was one, was like... It was like... I don't know if it was the 70th year, 75th year, and he... So yeah, no, I mean that directly. Lean Startup is literally... Yeah, so yeah.   0:56:10.9 Andrew Stotz: And if we think about people that are listening to this podcast, the people that I really want to listen to this podcast and I really want to get something out of the podcast is people that just don't know Deming. They've never heard of it, but they've stumbled upon it. One of the Deming community said, "Hey, you should listen to this podcast because you'll learn about Deming." And maybe they listen to a couple of episodes and it's a bit overwhelming when they hear someone talking about a lot of detail about this or that. Maybe they bought 'Out of the Crisis' and they got a chapter or two into it and they thought, yeah, that's also a bit overwhelming. What would be your message to that person who's listening right now to say, here's the reason why you shouldn't abandon it because of XYZ or whatever that message is that you've got about what they need to know about Deming?   0:57:01.4 John Willis: Yeah. I mean, I will say this, learning is hard. Change is hard, right? I mean, it sounds cliché, but, yeah, I think all of us who came into Deming, I didn't... When I read, we talked about this, I read 'Out of the Crisis', I was like, I don't know what's going on here. One of the worst things I can advise you to, I hate to say this, and this is probably anti-Deming Institute, is start off by reading his two books. You're better off going out to podcasts like this or other stories. I found that healthcare was chock-full of great stories, particularly about Profound Knowledge, of great examples. And then I went back and read the book and then like, oh my God, this is, now I get it, right? So I think a lot of things that we sort of encounter, a lot of them have... The things that are really valuable have this sort of facing counter-intuitiveness nature to them, and you have to sort of work at that.   0:57:55.9 Andrew Stotz: Yeah.   0:57:56.9 John Willis: And so Deming is hard. I mean, you... If you wanna understand Deming, I would say most people are not gonna get it on the snap. And what I would say to them is, it's worth figuring out what are the parts that he says and he did and his philosophy that could become part of your DNA, 'cause that I don't think anybody disagrees on. And then... And one other sort of short story. And I love Bill Bellows and I would say listen to all his podcasts. He's an amazing guy and just incredibly insightful on a lot of, I didn't really understand Taguchi, but so I did some podcasts with him. But I remember, and I'm not calling anybody out, but he runs the In2:InThinking Group and I've been to a couple of those. And I remember one time we were sitting there and we were having a conversation around sort of a roundtable and somebody asked, as I was talking about a company, they said, "Are they a Deming company?" I'm like, yeah. And I couldn't actually get through the room that, no. Nobody's a Deming company. Like, what is a Deming company? That's the wrong question. So again, back to, you got to be careful about how you think about Deming as using his philosophy to help organizations, because the more you focus on that it is a "Deming philosophy" as opposed to these are the right ways to think about the problems, you fall into this trap of maybe getting lost. Well, that Deming thing worked for about a year or two years and now it doesn't work. Well, if you don't call it a Deming thing, then what were the things that stuck and what are the things that didn't?   0:59:42.5 Andrew Stotz: Yeah. I just wanna remind the listeners and the viewers out there, just go to Amazon and find 'Deming's Journey to Profound Knowledge'. For me, I listened to it as an Audible book, which was fun because I enjoyed the stories and it just reminded me to go back and listen again. And also the additional stories, which I actually hadn't bought until, I had been wanting to buy it, but I didn't. So while you were talking, I got that on Kindle. So that's gonna be my fun.   1:00:13.9 John Willis: Those are great stories. There's a story about Gene Cernan. He was the last guy to land, be on the moon. And as you go through the book, it's really interesting. I did like seven or eight... So I was in no rush to publish the Deming book. I was in a rush to do the AI book. So I would literally get to the third rev, the fourth rev, and every time I'd have more new friends point things out. And by the time I got to like eight revs and I'm like, okay, it's probably time to put this book out. But what happens is as you go with the editor, they just start carving things down. And a good editor makes the strong point, like my 'Devil Wears Prada'. But again, there were so many great stories, like the Gene Cernan one is the last guy to be on the moon, but there was a story about Tracy's Rock and it's just a fabulous story, but it didn't have any place in Deming's Journey of Profound Knowledge. It was just an add-on that sort of took you off course. But now, in a standalone book, it's a great story. So there's a ton of those. The guy who created Piggly Wiggly was this genius. Like, again, it didn't really fit in there. But as a standalone story and I even do a little bit of, like, this would have been in chapter 15, so if you read both, you get a sense. And the worst thing I can tell you, though, is I had one person, I was at a conference I was laying the book, the Profound Stories book was laying around, and I guess I came back, he was at a booth, and he read it, and he goes, "John, can I talk to you about your book?" I'm like, "What?" He goes, "I don't know." I'm like, "Oh, dude, you can't read that book without reading 'Deming's Journey to Profound Knowledge'. It would be a terrible book if you didn't know what the premise was for where it came from." So, yeah.   1:01:59.7 Andrew Stotz: So in wrapping up, what would you like to leave the audience with from this discussion and from your journey into the teachings of Dr. Deming?   1:02:11.3 John Willis: Yeah, I think you have to start thinking about... And again, I know it sounds like I'm trying to sell the book and you're doing a better job than I am anyway but the last third of 'Deming's Journey to Profound Knowledge' was what would Deming do had he survived another 20 years? Right? And probably nothing because he was pretty old and not healthy. But the... So, I mean, question then is, as we think about organizational behavior, what are the core things? And I think Profound Knowledge is a great way. I, again I... Again, I don't walk in and say, "Oh, we're gonna... CIO, we're gonna solve this problem by applying the four elements of Profound Knowledge." That's not how I start that conversation. But I'm certainly thinking about systems thinking because that's first and forefront. Like, how are you thinking about... Like one company recently I was with, they got... Some of the big AI providers are giving well-branded companies all-you-can-eat AI. Like OpenAI is saying, "Hey, you know..." That's a terrible idea, terrible, terrible. Because now you're just building technical debt up the gazoo, right? So again, to be able to see the forest behind the trees, what's the systems thinking effect of that? How are you learning? What's the epistemology, the theory of knowledge behind that?   1:03:39.2 John Willis: Are you applying... In the book, I tried to codify my understanding of, like, the theory of knowledge is, how do we know what we think we know? The variation is, how can we see what we think we know? The psychology is, what are the... Let's take a second and what are the blind spots? And then I think of it as a feedback loop is, are we continually like if you listen to Bill Bellows, he does a great job of sort of explaining systems thinking through the sort of vehicle of Taguchi or Ackoff but are we just continually looping through that process as, "Let's take a bigger chunk, let's take a bigger chunk, let's take a bigger chunk"? So Profound Knowledge, not so much that you have to walk in and be an expert on 'Deming's Journey to Profound Knowledge', or more specifically, The System of Profound Knowledge. The idea is, can you use those... And the reason I fell in with 'The System of Profound Knowledge', why that was what hit my core, because I will say, out of my five decades of doing all this crazy stuff in technology, I can't think... I mean, there's a lot of cool frameworks that I use as auxiliary, and frameworks I'm using loosely but The System of Profound Knowledge is the one framework that to me beats all other frameworks because it covers epistemology, it covers understanding statistical analysis or analytical statistics. Right? Which is very important. It brings in the biases, the... All the sort of things about how people think, blind spots, and then it throws together the wrapper of appreciation of a system, so...   1:05:23.2 Andrew Stotz: Yeah. Well, John, on behalf of everyone at the Deming Institute, now you see your picture on the cover.   [laughter]   1:05:32.2 John Willis: There we go, man.   1:05:33.7 Andrew Stotz: I wanna thank you. It's a great discussion and it's long overdue.   1:05:37.7 John Willis: Sure.   1:05:37.9 Andrew Stotz: And for listeners, remember to go to deming.org and jump into DemingNext to continue your journey. This is your host, Andrew Stotz, and I'll leave you with one of my favorite quotes from Dr. Deming, which is, "People are entitled to joy in work."   1:05:42.4 John Willis: I love that you end with that.   

Salvatore students (and Landon) go undercover to solve a mystery - missing Mystic Falls students. Instead, they split up and turn on each other, especially when the culprit seems to be all too familiar. But they forget the goofy show they are on! Hope beefs with Lizzie and Landon. MG and Kaleb's different philosophies cause tensions to boil over. Meanwhile, at the Salvatore School, Rafael beefs with Jed, and Josie attempts to help him. Also, we see a goofy use of siphoning BUILT for a romantic teen drama, Remember to rate, review, and share, brothers!Follow us on Instagram and TikTok @doppelgangerspodcast!

Most people go through life as volunteer victims, waiting for luck that never comes. In this high-intensity episode, we strip away the excuses and reveal why "luck" is simply what happens after you bust your ass and put yourself in position to win. We explore the brutal reality of consistency—how showing up play-in, play-out, year-in, year-out separates the top 1% from the rest.   You'll discover the counter-intuitive power of exposure therapy: facing fear doesn't make you less afraid; it makes you braver. We break down the mechanics of transforming negative energy into unshakeable confidence by attacking the very things that terrify you most. Plus, learn how to rewire your brain chemistry by shifting from regret to gratitude, turning discipline into a source of dopamine rather than deprivation.   Whether it's Elon Musk discussing rocket failures or David Goggins screaming about the arena, these voices converge on one truth: You don't get what you want; you get what you are. Stop comparing your wins, silence the envy, and start building a life that feels good, not just one that looks good. The winners always show up. Are you ready to earn your life?

God’s love is so great and His faithfulness so enduring that praise is the natural response. Discover God’s heart for the praise of all people, and how we can be part of it.

PA Homecare Association CEO Mia Haney breaks down the impact on local caregivers and patients in Allegheny County, as unfunded mandates pose major challenges for Medicaid-funded home care providers operating on fixed rates.

Mentalist and illusionist Wayne Hoffman has built an extraordinary career reading minds, performing around the world and creating moments that make people question what's possible. But underneath the illusion is something even more interesting: an obsessive understanding of psychology, goal achievement, gratitude, risk and the small actions that quietly change the course of a life.Wayne and Marc explore why he chose an unconventional path, what he learned from the highest highs and loneliest moments of performing, his system for turning enormous goals into achievable steps, and why his future self keeps giving him the same instruction: do what you're supposed to do.And before the conversation ends, Wayne puts his mind-reading skills to the test on Marc!EXCITING STUFF!My second book now available for pre-order! You're Invited: A Life-Changing Conversation with History's Greatest Wisdom TeachersGet your MENTAL FITNESS BLUEPRINT here!A special thanks to our mental fitness + sweat partner Sip Saunas Connect with Marc: https://konect.to/marcchampagne Timestamps:00:00 — The question that opens every interview: “Who are you?”02:12 — Discovering a hidden world inside a childhood magic shop04:09 — Why Wayne became obsessed with creating wonder08:16 — Turning an unusual passion into a career10:13 — Choosing entrepreneurship instead of the “real job”10:38 — The $10 business-card coupon that changed Wayne's life13:13 — Who is your unsung hero?13:58 — Honouring the man who unknowingly changed everything17:21 — The moments Wayne realized: “This is actually working”18:10 — Sitting beside Ellen and feeling like he'd stepped inside his television20:26 — The strange loneliness behind enormous moments of success21:29 — Fooling Penn & Teller — and barely remembering what happened next22:59 — Reverse-engineering your greatest successes24:15 — Why gratitude changed Wayne's life26:01 — Could you be happy if everything you achieved disappeared?26:43 — Is mind reading actually real?29:55 — How psychology can make someone appear psychic31:57 — What Wayne is actually doing when he “reads minds”32:37 — How a professional mentalist trains his mind35:45 — The one major goal Wayne still hasn't achieved38:28 — Wayne's system for achieving enormous goals38:46 — Feel. Define. Plan.39:57 — The power of asking for the next doable action40:56 — What would ten-year-old Wayne think of his life today?42:39 — Meeting his future self42:49 — “Do what you're supposed to do.”45:05 — Wayne attempts to read Marc's mind47:35 — The first impossible prediction49:35 — And then things get even stranger50:28 — Why Wayne would still do this work for free51:19 — Why the world may need more wonder52:11 — Adult recess and Wayne's deeper purpose*Special props

Travis, Darren, and Vince react to LAFC's match at FC Dallas, which ends as a 1–0 loss after a would-be equalizer is called back following a controversial VAR-related decision. We talk about how the international break and missing key players tanked the quality, why moral victories don't matter with two wins in 16, and what the remaining schedule (including Vancouver and Austin at home) means for any turnaround and playoff positioning. We highlight positives like Sergio Vasquez's impact and other young contributors, worry briefly about Vasquez's hamstring, and discuss roster depth, injuries, and the league's scheduling choices. We also debate what Marc Dos Santos needs to do to keep his job with the upcoming “sprint season,” share news that Thayllon is arriving Monday, and wrap with lighter asides, super chats, and and way too much discussion on how hot the team is.00:00 Two Wins in 1600:47 Dallas Loss Recap02:44 VAR Goal Controversy05:15 West Table Reality07:54 Happy Foot Standouts09:50 Broadcast Rant12:20 Vasquez Deep Dive16:20 Run-In Schedule Ahead19:31 MDS Job Security Debate27:03 AI Viewers Tangent28:24 Igor Jesus Absence30:35 Live Show Idea31:36 Live Show Planning32:09 Hat Lore and Jewels32:57 Paper Gun and Tissues34:10 Season Collapse Review35:33 Injuries and New Hope37:03 MDS Accountability Debate41:33 Super Chats and Ebobisse Rant44:34 Ayaneiro and Big Forward Talk45:20 Vince Returns and Vibes47:58 Trusting MDS System49:53 Hottest Player Debate55:05 Wrap Up and Next MatchesJoin our Patreon and help us keep making this show.Merch and more at HappyFootSadFootPod.comYouTube: @happyfootsadfoot Twitter: @HaFoSaFoInstagram: @happyfootsadfootTikTok: @happyfootsadfoot Hosted on Acast. See acast.com/privacy for more information.

Model and actor Shraya Arya opens up about the body dysmorphia she battled at her "healthiest" weight, and why acceptance, not love, is what actually set her free. She and Luke unpack the five months of constant rejection that nearly made her quit modelling, the industry's obsession with sample sizes, and why the "skinny is back" trend is quietly wrecking people's mental health right now. It's an honest look at the stories we're told about our bodies growing up, and how to finally stop believing them.   Make sure you subscribe to my podcast to stay up to date with episodes I release every week. If you loved this episode, I'd be super grateful if you could leave me a review which helps me spread this podcast out to more amazing people just like you :) HERE'S WHERE YOU CAN FOLLOW ME: Instagram: @luke_page Follow Shraya on Instagram: @shraya_a    

The post The Goal of Maturity appeared first on Blue Ridge Bible Church.

Rapids get out to a hot start with a goal from Donavan Phillip (4'), closing the first half strong with help of Paxten Aaronson (39'). Galaxy have all the answers in the 2nd half, with Rapids' Reggie Cannon (53' OG) helping out. Bins by João Klauss (66'), and Justin Haak (74') send the Rapids back home with a frustrating loss. 

What if the plan you were handed (work harder, max out your 401(k), and wait for retirement) is the very thing keeping you from the life you want? In this episode of Winners Find A Way, Coach Trent M. Clark sits down with Joey Muré, founding partner at Wealth Without Wall Street, where he helps business owners stop trading time for money by building passive income that exceeds their monthly expenses. By his late 20s, Joey was earning over $300,000 a year in the mortgage industry. On paper, he was winning. In real life, he was working 60 to 70 hours a week and missing his family. One walk down a beach boardwalk, watching his wife and daughters head the other way, showed him that more income was not the answer. Joey and Trent talk about how to define what freedom looks like for you, why retirement can become a deferment of life, and how Infinite Banking lets your dollars do two jobs at once. Joey explains why being debt free is not the same as being financially free, and why the right investment is the one that fits who you are. Joey also shares the hardest decision of his career. He walked away from a $300,000 income, started from zero, and began teaching others what he had learned. Today, he and his business partner Russ have built over $50,000 a month in passive income. This episode is a reminder that winners are not people who never face adversity. Winners are the ones who learn, adjust, grow, and keep finding a way. In This Episode, We Discuss: Why a higher income is not the same as financial freedom The financial freedom formula: passive income that exceeds monthly expenses How to dream again using the Be, Do, Have framework Why Joey calls retirement a deferment of life The GPS framework: Goal, Plan, and Support Infinite Banking explained in simple terms Why debt free can still mean broke The Investor DNA Profile and choosing passive income that fits you Building a castle and moat so you are ready for the next economic shift Key Takeaways ✨ More income will not buy back your time. Joey earned over $300K a year and still never left the office. Freedom starts when passive income covers your monthly expenses. ✨ Debt free is not financially free. Groceries, utilities, insurance, and daily life never get paid off. If you only focus on debt, you never build the income side of the formula. ✨ Make every dollar do two jobs. Infinite Banking works like a rewards card. You use money you were going to spend anyway, but it works for you first. ✨ Invest like you, not like someone else. What works for someone else may not fit your personality, resources, or values. Know who you are as an investor and go deep. Resources Mentioned Wealth Without Wall Street (book) Wealth Without Wall Street page for Winners Find A Way listeners: https://wealthwithoutwallstreet.com/winnersfindaway Wealth Without Wall Street Quiz: https://quiz.wealthwithoutwallstreet.com/ Investor DNA Profile The 4-Hour Workweek by Tim Ferriss Cashflow board game by Robert Kiyosaki The 4 Disciplines of Execution Leading Winning Teams by Trent M. Clark Connect with Joey Muré Website: https://wealthwithoutwallstreet.com/winnersfindaway Free Quiz: https://quiz.wealthwithoutwallstreet.com/ LinkedIn: https://www.linkedin.com/in/joey-mure-b376824/ Facebook: https://www.facebook.com/wealthwithoutwallstreet Instagram: https://www.instagram.com/wealthwithoutwallst X: https://x.com/withoutwallst Connect with Trent M. Clark Trent M. Clark is the CEO of Leadershipity, President of EOS Michigan, a Bloom Growth Coach, a global speaker, former Major League Baseball coach, and author of Leading Winning Teams. Website: https://www.trentmclark.com/ Leadershipity: https://www.leadershipity.com/ YouTube: https://www.youtube.com/@Leadershipity LinkedIn: https://www.linkedin.com/in/trentmclark/ Facebook: https://www.facebook.com/TrentMClark Instagram: https://www.instagram.com/trentmclark/ Bloom Growth Coach: https://www.bloomgrowthcoach.com/coaches/trent-clark/ Book: Leading Winning Teams: https://leadingwinningteams.trent-clark.com/bookrecording79 Listen & Subscribe Listen to Winners Find A Way every week on YouTube and all major podcast platforms for conversations with leaders, athletes, entrepreneurs, and high performers who know what it means to overcome adversity and keep finding a way.  

The normal path is getting the FE first and the PE second…but who said you can't do it the other way around?

Ready to learn more about macro social work careers? Grab my free e-course at: https://macroandpaid.com/---Before you make your next career move, you need to know what you're actually working towards. Otherwise, it's easy to spend time, money, and energy making career decisions that have little to do with where you want to go.In this Live, I'm talking about why I teach my coaching clients to clarify their goal first, then work backward to determine what they actually need to get there.If you're ready to get clear on what you want next and learn a proven process to get there, click the link in my bio @the_mswcoach and visit macroandpaid.com to learn more about my career coaching program for social workers and to schedule a com “Get to Know You Chat” to see if you're a good fit. Click here to schedule: https://macroandpaid.com/Happy macro career planning,Marthea Pitts, MSW

Matt Faircloth and Chris Larsen break down the mindset and strategy behind Next Level Income and Chris's new free book, How to Be Financially Free by 40, a concise roadmap for turning earned income into lasting financial independence. You'll discover the three-part framework behind Chris's philosophy: make enough money, keep as much of it as possible, then grow it through investments that create passive income. He shares how that thinking shaped his own path from engineering student to real estate investor, why he launched the show in 2019, and how the podcast evolved from education tool to networking engine during COVID. Chris Larsen Founder of Next-Level Income Based in: Asheville, North Carolina Where to find them: https://www.linkedin.com/in/nextlevelincome https://nextlevelincome.com/ For more information, visit https://superhuman.com/. Podcast production done by⁠ ⁠Outlier Audio⁠. Learn more about your ad choices. Visit megaphone.fm/adchoices

Dan Bardell is joined by former Aston Villa captain and legend Martin Laursen, for a candid sit down about his Villa career. Thanks to RPG Promotions for the hook up and Martin for being such a top bloke. Sponsored by Sponsored by Oxford Natural Visit https://oxfordnatural.com/1874 to find out more and get 70% off your subscription. Tickets for the live show: https://www.eventbrite.com/e/2001245080909?aff=oddtdtcreator

No hands. No arms. A suicide attempt at age 10. One prophecy from a janitor and one chapter from the Gospel of John. This is the story of NickV, who has has preached to hundreds of millions, spoken to nearly 3 billion people, and talked for virtually every major nation on the planet. His story doesn't seem possible, but that's the point. Watch the new documentary: https://nickvfilms.com/2026/Nick's Instagram: https://www.instagram.com/nickvministries/?hl=enNEW: Check out our Merch store! https://shop.lilaroseshow.com/Join our new Patreon community! https://patreon.com/lilaroseshow - We'll have BTS footage, ad-free episodes, and early access to our upcoming guests.A big thanks to our partner, EWTN, the world's leading religious network! Discover news, entertainment and more at https://www.ewtn.com/ Check out our Sponsors:-Cowboy Colostrum: Get 25% Off Cowboy Colostrum with code LILAROSE at https://cowboycolostrum.com/lilarose -Cozy Earth: Better Sleep, Brighter Days - Get the highest quality sleep essentials for 20% OFF at https://cozyearth.com/lila!-Presidio Healthcare: Healthcare and doctors who share your values. Visit: https://www.presidiocare.com/lila -Good Ranchers: https://go.goodranchers.com/lila Purchase your American Meat Delivered subscription today and get a free add-on of beef, chicken, or salmon! Use code LILA for $100 off first three orders!00:00:00 - Intro00:01:57 - Nick's birth and early years00:05:46 - His mom's painful reaction00:13:44 - Stigma around disabilities in the 1980s00:19:59 - When did you notice you were different?00:24:25 - Redemptive path toward American citizenship00:27:22 - What did it feel like to be “different”?00:28:59 - Fear in school:00:33:16 - Age 8: Goal is just to survive00:35:33 - Did your family see the pain?00:41:06 - Depression00:42:49 - Age 10: Su*cide Attempt00:47:08 - The start of the change…00:48:37 - First time recognizing gratitude00:50:08 - John ch. 900:55:13 - Age 15: start of a whole new life00:56:57 - The janitor's prophecy01:00:40 - Beginning public speaking01:03:59 - Tricky relationship with Dad01:08:07 - You can't just pray depression away01:10:18 - 3rd biggest motivational speaker in the world01:12:33 - The crazy death threat01:14:10 - Why Nick didn't want to preach to Christians01:15:08 - Evangelizing in Iran01:15:58 - Corporate US hates faith…01:19:47 - False accusations01:21:31 - Nick predicting covid01:22:59 - Moving on from motivational speaking01:25:22 - Discouragement: Non-profit donations way down01:26:34 - Kids with disabilities are targeted today01:30:14 - Nick's crazy love story01:34:59 - Sending poems to the wrong person…01:36:59 - I don't like your sister!01:41:31 - What's it like being a dad?01:44:32 - That first year of parenting…01:46:01 - Parenting without limbs01:48:23 - Nick's parenting advice:01:51:51 - Advice for parents with children with disabilities:01:53:38 - How should parents respond to tough questions:01:55:08 - How to help and not limit children with disabilities01:58:03 - Responding to bullying01:59:00 - Conversations that need to happen:02:01:37 - Nick's African dream02:04:20 - America and sports02:06:34 - Conclusion