Podcasts about fomo

Ep 195There are three album storylines I wanted to get into this week.First, Quavo has Pharrell executive producing Chromelife, a huge feature list and an Offset reunion. On paper that sounds great. I'm just not convinced Pharrell and a bunch of big names fix what hasn't worked for me about Quavo's solo albums.Then Megan Thee Stallion is getting Act 3 started with the return of Tina Snow, but we're already getting headlines about Klay Thompson again. I want to know when Megan's music gets to be the biggest story of a Megan album rollout.And finally, Drake is bringing the FOMO music to streaming and continuing what has turned into one hell of a comeback year.Three upcoming projects, three completely different side plots, and a lot to talk about.Timestamps(0:22) Quavo's album Qromelive (2:33) Is Pharrell right for this?(3:49) Migos reunion(5:15) Final Thoughts(6:33) Meg's album rollout(7:28) Tina Snow is back(8:10) Klay is becoming the focus(11:39) Too much is happening to mention Klay(15:28) Drake's FOMO coming to DSPs(16:15) This is revenge(18:52) I want to hear FOMO

Do you ever feel like you're constantly rushing?In this replay episode of The Juggle is Real, Andryanna takes a closer look at hurry sickness, the behavioural pattern of constantly feeling rushed, behind and like there's never quite enough time. From racing through everyday tasks to multitasking everything and feeling guilty when we're not being productive, that sense of urgency can become so normal that we barely notice we're doing it. This episode explores why we get caught in the cycle of rushing, including perfectionism, FOMO, comparison and the connection we can make between productivity and our sense of worth. It also looks at what we may be missing when our minds are constantly focused on what needs to happen next. Most importantly, Andryanna shares simple, realistic ways to create more space within a busy life, without pretending you can simply clear your calendar and opt out of your responsibilities.In this episode:What “hurry sickness” is and how to recognize it in your everyday life;Why you can feel rushed even when you don't actually need to be;How perfectionism, FOMO, comparison and external validation can keep us stuck in urgency mode;Why being busy and productive can become tangled up with our sense of self-worth;How constantly thinking about “what's next” can pull us out of the life happening right now;Creating small pauses during transitions instead of racing from one thing to the next;Why single-tasking may be more helpful than trying to do everything at once;Setting healthier boundaries with your phone, email and technology;Getting clear on what truly matters so it's easier to say no to what doesn't;How to move through a genuinely busy season without rushing your way through your life.CONNECT WITH ANDRYANNA:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Click HERE to get your FREE Back to School Routines - Visual Task Charts for Kids⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Get your copy of The Juggle is Real: Authentic Self-Care Planner Vol. 2 ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠HERE⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠!⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ On ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Email: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠hello@andryanna.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Keywords: hurry sickness, always feeling rushed, how to slow down, urgency culture, busy women, overwhelm, stress, burnout, productivity, perfectionism, FOMO, multitasking, work-life balance, mindfulness, boundaries, slowing down, mental load, self-care, busy moms, intentional living, The Juggle is Real Podcast

Parents have long complained that the education system in Singapore is too stressful for children. To address their concerns, the Ministry of Education has made policy changes over the years, including scrapping PSLE T-scores and removing weighted assessments and examinations at certain levels. But have these measures worked? A recent survey by the Institute of Policy Studies (IPS) showed that parents are more stressed than 10 years ago, and they are spending more on tuition and enrichment classes. The Straits Times also reported that some property agents now explicitly market themselves as Primary 1 strategists or consultants, and advise their clients to plan ahead so their children can get into the school of their choice. If the system has been easing up, what’s driving parents to continue taking part in the education “arms race”? And are the tuition and property industries capitalising on their anxiety? In this episode, Natasha chats with: • Jacqueline Ho, assistant professor of sociology at the Singapore Management University, who researches the Singaporean education system, and • Prab Nathan, a property agent and former school teacher, and a father of two. His eldest daughter will be in Primary One next year. Highlights (click/tap above): 3:46 Are property agents feeding parents’ anxiety? 9:18 Is it smart to move for a school? 11:45 School status should not be a priority: Prab 25:42 Why parents get FOMO over extra tuition 28:30 Are parents who send their kids for tuition really kiasu? 34:00 Is being a “relaxed parent” a luxury? 43:39 What’s wrong with having a shadow education system? 49:50 Parents strategise to cope with inequality Follow The Usual Place Podcast and get notified for new episode drops every Thursday: Channel: https://str.sg/5nfm Apple Podcasts: https://str.sg/9ijX Spotify: https://str.sg/cd2P YouTube: https://str.sg/theusualplacepodcast Feedback to: podcast@sph.com.sg SPH Awedio app: https://www.awedio.sg --- Follow more ST podcast channels: All-in-one ST Podcasts channel: https://str.sg/wvz7 Get more updates: http://str.sg/stpodcasts --- Get The Straits Times app, which has a dedicated podcast player section: The App Store: https://str.sg/icyB Google Play: https://str.sg/icyX -- #tup #tuptrSee omnystudio.com/listener for privacy information.

This week on Swimming with Allocators, Earnest and Alexa unpack the post-SpaceX IPO environment, why LPs still aren't writing checks, and what might actually unlock capital for emerging managers in the coming years. They explore how liquidity flows back into institutions, the growing preference for barbell strategies, and where allocators are shifting attention beyond venture, including middle-market PE and new hedge fund strategies. Drawing on insights from LP conferences, they share practical fundraising advice for GPs—how to differentiate, communicate future potential, and avoid bad pitch dynamics. They debate the renewed role and structure of fund of funds, the risks and FOMO around mega AI bets, and how AI tools are reshaping outbound, deal flow, and relationship management. The episode closes with tactical guidance on building momentum with anchors, hosting intentional LP/GP gatherings, and rethinking how GPs present themselves as “founder magnets” and long-term partners to allocators.Highlights from this week's conversation include: SpaceX IPO, Lockups, and Why LPs Still Aren't Re‑Upping (1:20) Why IPO Liquidity May Not Prompt Immediate Reinvestment (4:24) Returning Capital and Questions About Established VC Brands (6:07) LP Pitch Advice: Make It a Conversation (7:52) Finding Your Differentiation by Asking Why Friends Invested (8:52) Assessing GPs for Future Potential (9:38) Becoming a Founder Magnet and an Ecosystem Node (10:20) Fund of Funds and the Shift Back From Direct Investing (13:31) The Barbell Approach to Venture Investing (17:04) AI Risks, the Space Race, and Open-Weight Models (19:44) AI Downside Scenarios and Broader Economic Risk (22:22) Fundraising Momentum and Finding Anchor Investors (23:23) Why LPs May Prefer Returns Over Lavish Events and Parting Thoughts (28:30) Swimming with Allocators is a podcast that dives into the intriguing world of Venture Capital from an LP (Limited Partner) perspective. Hosts Alexa Binns and Earnest Sweat are seasoned professionals who have donned various hats in the VC ecosystem. Each episode, we explore where the future opportunities lie in the VC landscape with insights from top LPs on their investment strategies and industry experts shedding light on emerging trends and technologies.  The information provided on this podcast does not, and is not intended to, constitute legal advice; instead, all information, content, and materials available on this podcast are for general informational purposes only. Learn more about your ad choices. Visit megaphone.fm/adchoices

About this episode: In this episode of the Wellness Pro Hotline, Cate Stillman sits down with Amy Glasser, founder of The Vital Well — an Ayurveda-based membership community for women seeking deeper vitality, hormonal balance, and long-term health. Amy has already done the foundational work: she has built her club, set up her classroom, refined her Vitality Checkup sessions, and established her sales cycle. Now the question is simple — how does she fill her pipeline consistently and convert cold leads into committed members? What unfolds is a practical, laser-focused coaching session on one of the most underutilized lead generation strategies in the wellness industry: showing up in person at farmers markets, festivals, and community fairs to offer free Vitality Checkups. Cate walks Amy through the entire three-session funnel, from the initial pulse check at the table, through the assessment review on Zoom, to the Sacred Sales pitch that closes the client into a year-long club commitment. This episode also covers how to handle time blocking as a single parent, when to offer certificates of completion and continuing education credits, how to create FOMO using a monthly club calendar, and why the closing call is simply about getting someone to defend their desire and commit to their health. This is the Wellness Pro Hotline: real practitioners, real challenges, real coaching — on the record. Key Takeaways: The Three-Session Farmer's Market Funnel: How to move a cold lead from a free vitality checkup at a community table to a closed year-long club member across three intentional touchpoints Discover, Desire, Defend: Why the Sacred Sales framework is the difference between a presentation that informs and a conversation that converts Certificates of Completion and CEUs: How to add perceived and real value to your club by offering completion certificates and continuing education credits without overcomplicating the process Time Blocking for Leads and Sales: How to structure your week so lead outreach, sales calls, and closing calls each have their own designated time — even around childcare and a split-location lifestyle Creating FOMO With a Monthly Calendar: Why showing prospects exactly what is happening inside the club this month is one of the most effective closing tools available One Claude Prompt Away: How Amy is already using AI to support session notes, client plans, and content creation — and how to go further Resources and Links: Fix Your Offer Session: https://api.leadconnectorhq.com/widget/bookings/fix-your-offer-session Wellness Pro Academy: https://wellnesspro.academy Yogahealer: https://www.yogahealer.com About the Guest, Amy Glasser: Amy Glasser is the founder of The Vital Well, an Ayurveda-informed membership community helping women reclaim their vitality, balance their hormones, and build sustainable long-term health. With over 10,000 hours of practitioner experience, Amy brings deep clinical expertise and genuine warmth to every client relationship. She splits her time between Santa Fe, New Mexico and San Pancho, Mexico. About the Host, Cate Stillman: Cate Stillman is an Ayurvedic practitioner, author, and founder of Yogahealer and Wellness Pro Academy. For more than two decades she has helped wellness professionals build thriving membership communities rooted in ancient wisdom and innovative structure. She is the author of Body Thrive, Master of You, Uninflamed, and Primal Habits. Wellness Pro Academy: https://wellnesspro.academy Primal Habits: https://amzn.to/3OvfPOx Uninflamed: https://amzn.to/3UUBgJ2 Body Thrive: https://amzn.to/3udNFR0 Master of You: https://amzn.to/3OlfoGn What would change in your practice if you stopped waiting for leads to find you online and started showing up where your ideal clients already gather every week?

Aussie country music superstar Morgan Evans joined Mark Levy to discuss his love for the Newcastle Knights, as they await the big Grand Final match on Sunday. He says the Knights were a part of his childhood, which led him to include commentary of their famous win in a 'Knights Version' of his song Steel TownSee omnystudio.com/listener for privacy information.

285: In this episode, I sit down with Jeremiah Boucher, founder and CEO of Patriot Holdings, to unpack how he went from losing everything in the 2008 real estate crash to building a commercial real estate portfolio of roughly 100 properties.(Show Notes: REtipster.com/285)Jeremiah has spent more than two decades investing in alternative real estate assets, with a major focus on self-storage, manufactured housing communities, and small bay industrial properties.What I found especially interesting is how his strategy has evolved.He started in single-family real estate, got wiped out in 2008, rebuilt through mobile home park investing, expanded into self-storage, and eventually found another opportunity hiding in plain sight: small bay industrial or flex industrial space.We talk about why these seemingly different asset classes have more in common than you might think, why diversified streams of tenant income matter, and why “boring” real estate can sometimes provide a much stronger competitive edge.Jeremiah also explains how greed and FOMO influenced his decisions before 2008, and what he looks at differently today when deciding whether an opportunity is actually worth pursuing.We also cover owner financing, raising private capital, real estate funds, value-add investing, property management, manufactured housing development, and the challenges of scaling a real estate portfolio across multiple markets.If you're interested in self-storage investing, mobile home parks, small-bay industrial, commercial real estate, land development, or finding a real estate strategy with sustainable cash flow, there's a lot to unpack here.

Sometimes the smartest move in business isn't pushing forward—it's knowing when to leave. “The Exit Plan” examines the danger of FOMO, misplaced trust, unclear financial decisions, and entering a partnership without written protections. Through the principles of Intelligent, Focused, and Connected, this episode reveals why you must verify everything, protect what you've built, and always have a way out.Get the book—10G: Intelligent. Focused. Connected. https://www.amazon.com/dp/B0HHY7T679Join the 10G community for live chats, Q&A sessions, and personalized success and wealth strategies. 

Why do Danish friends sometimes seem reluctant to invite you into their homes?This week, we answer a listener question from a Lebanese expat in Copenhagen who loves hosting dinners for friends but rarely gets invited back by their Danish friends. Is it a Danish cultural difference, a question of friendship groups, or simply a matter of personality?Derek, Conrad and returning guest, Kriti Prajapati talk about hosting, Danish friendship circles, language barriers, cultural references, social media FOMO, getting rejected by friends, and why building friendships in Denmark can sometimes require a little more intention.Plus: how to actually spend time with your Danish friends outside the usual group setting and our increasingly questionable advice for getting a Dane to invite you over.More of Kriti:Tickets for Kriti's show at Up Festival: https://upfestival.dk/om/komikere/kriti-prajapatiInstagram: https://www.instagram.com/kriticalcomedy/YouTube: https://www.youtube.com/@KritiPrajapatiOther WAYDID episodes with Kriti: https://pod.link/1704607322/episode/NjczMjdkOWE0N2JmOTIwNTRlMDZkN2Nm00:00 Welcome to WAYDID + Kriti returns00:43 Why don't my Danish friends invite me over?02:15 Is Danish hosting actually different?04:38 The language barrier nobody thinks about08:37 Why cultural references matter in friendship11:45 Danish friends already have established friend groups13:32 Social media makes feeling left out worse14:02 Should you mix Danish and international friends?17:25 Are Danes less spontaneous about socializing?19:19 Do Danes have different kinds of friends?21:37 When should you stop trying with a friend?22:38 Is this just a Copenhagen thing?23:05 Why Danes schedule doing nothing23:55 How to actually get closer to Danish friends25:20 How to make a Dane invite you over26:48 Maybe it's not a Danish problem27:56 Kriti's comedy festival show28:46 Thanks for listening!

Stay focused. It’s easy to say, but harder to do. Anybody who’s been in sales has probably been in a situation where you’ve been in a room with someone and you’re looking at them and having a conversation with them. But they’re looking around the room. They’re looking at things. People are buzzing them on the phone. They’re like, “excuse me.” They’re taking the call and you’re sitting there thinking, “why am I here? Why am I doing this?” So other people maintaining focus (or not) will give you a really good idea of where you stand with them. David: Hello, and welcome to the podcast. We are back once again. Jay McFarland, and I will discuss how to stay focused in your day. Welcome back, Jay. Jay: It’s so good to be here, David. And I know that focus is something that everybody’s working on. One of the reasons I know this is all of the technology companies are building focus tools into their devices. We must want this because I can now tell my phone, no I’m focused on this and it gives me different screens for that particular time so that I can stay focused in on this. So we must all want to be able to focus better. And the question is, how do we achieve that? David: Yeah. Especially when there are other technology companies that are trying to get you to stay focused on them. Right? You gave a great example. I noticed that too, on my phone, there’s the new focus button. And I like that idea, but in the meantime, nearly every social media platform is designed to steal your focus, to derail you from what it is that you wanted to do today in favor of what they would like to have you do today, which is to scroll, scroll, scroll, scroll, and then scroll some more. So we do have technology that is working for us, and we have technology that is working against us. But last time when we were talking about the idea of building proactively, I think these things tie together. As we’re building proactively, we recognize that it does require us to stay focused day-to-day. And so in order to do that, we have to say, okay, how are we going to make it happen? Particularly with all sorts of forces, potentially conspiring against us. Jay: Yeah. I love that point, that on the one hand tech is trying to help us stay focused, and then everything else in the world, I’m like, “squirrel!” You know, squirrel there’s something new and it’s not just social media who’s trying to distract you. It’s the employees who want your time, the customers who call up because they don’t know your schedule. They just know they have a question, right? So they’re calling you. So how do you go about building some semblance of focus throughout your day with all of these distractions that are coming in constantly? David: Well, from my standpoint, I think we need to decide at the beginning of the day, as early as possible, what really needs to happen today? Because that’ll help us to determine where our focus needs to be. What is it that actually has to get done? What has to happen? What do you have to do versus what do other people in your organization have to do? So if you own the organization, you’re going to have to determine what you’re doing and what they need to stay focused on. And how are you going to avoid distraction? Lots of people have, or had, open door policies when people were working together. Do I have my door open? Do I have my door closed? I liked the idea of having an open-door policy. So for many years in my business, I did. But unfortunately, that sometimes programs people to think, okay, door’s open! I’m constantly available. So you really need to balance that and make determinations as far as how much of your time during a given day is going to be dedicated to focus time. The work that you have to get done in a specific time frame, in a specific way, without distraction. And then adapt or create an environment that allows you to stay focused. Jay: Yeah. I have a funny story. I went to a company, it was a brand new company. They just built this beautiful building. And I went to the CEO and his desk was right out in the middle of everybody else’s. David: Wow. Jay: No cubicle walls, nothing. There’s the CEO’s desk, right? And about six months later, I went back. And instead of that desk, there was an office. And I’m like, what happened? And he is like, well, I just realized, as much as I wanted the open door feeling and that people could come to me. I just couldn’t do the things that I needed to do, because it was like a line, where people were wanting to talk to me every few minutes. David: Right. Yeah. And so everybody needs to determine how much they can take. How much they can actually get done, without completely distracting themselves. And you basically have to engineer your environment around that. But I think the idea of, professionals in particular, requiring the time and ability to stay focused. It can’t be understated. You really need to be able to do that. And a lot of times, because we’re so reactive, we don’t even think about it. And so simply by identifying the fact that you are going to require focus hours in at least some of your days. Probably most of them, if what you’re doing is important work. And because of that, you’re going to very likely have to change the way that things are done. Jay: Yeah, I know people and I’ve tried to start doing this in my own life where they only check their email at a certain time of day. They have an email check time. And their point is that they never get an email that has to be responded to immediately. If somebody has an immediate concern, they’ll call. They’ll do something else. And so they literally do not look at their email. I have my email up all the time. I’m going to be totally honest. And when one pops up, I will leave whatever else I’m doing. And I will respond to that email. And I know that this is an issue for me because then afterwards I’m like “now, what was I working on?” Because if I was typing something up, now I’ve lost my train of thought. And so I know that I’m hurting my productivity, David. But I still do it anyway, because I’m such a creature of habit. And I also have FOMO, the fear of missing out. I have FOMO so bad that I’m not sure how to stay focused long enough to overcome it. David: It sounds a little like a shared malady. Entrepreneurial A.D.D. Jay: Yes. Yeah. David: Where, it’s always the next thing. What’s the next thing? What’s the next thing? I certainly have a tendency to share that as well. But one of the things that I do when something is a real focus project –and actually, you and I through this before we jumped on this call. I literally turned off my phone, not just silenced it, not just turned it upside down on the table. Literally turned it off. Closed out the email, shut everything down, got rid of all the other apps so that we can have this conversation. And for something like this, it makes perfect sense to do that. But if there are other projects that I feel like I need to get done, I just do the same thing. And if it’s available to you, you’re going to do it, right? If you can access that email right away. And if it is in front of you, you are going to be a lot more likely to respond to it. I do tend to check email a couple times a day. There are some times where I’ll grab my phone and I’ll do it in between. But for the most part, I’m not a complete servant to my email for the exact reason that we discussed. It’s critical to set aside time when you can stay focused. Email is a list of other people’s priorities. And so if you’ve got priorities of your own, that are important enough to you, then you’ll start to do that. At least for me, that’s what I did. You know, another thing that helps me stay focused… actually, let’s start with this. One of the things that really distracts me from focus is input. So things like whatever, email, videos, social media, all of that is input. Most of us get paid, not for our input, but for our output. What is it that we’re doing? What are we actually putting out into the world? If you recognize that input is generally not dollar work and output is dollar work. It becomes easier to say, okay, no more input for now. I’m going to stay focused the next two hours on output. And that means shutting down social media, maybe turning off the phone or silencing it. Shutting down the email and then just focusing on the output. If you just think in terms of input and output, you can really start to make a big difference in terms of the focus hours you’re able to put in during any given day. Jay: I really like that. Kind of maybe having a balance scale in your mind. Am I spending more time with the input or the output? How much more could I accomplish in my job? How much more proficient could I be if I stay focused on that output? I have to tell you, while we’ve been talking, a text has come in and it’s up in the top left corner of all my screens. I haven’t looked at it. But It’s there. And I know it’s there. And it is so hard for me, David, to not look over at that while we’re… And so I forgot to put my computer in do not disturb mode. And so now it’s sitting there and I’m like, you know, “what if I just peek over?” But there’s no way that any text that I have coming over is going to be more important than what we’re talking about right now. So I’m going to exercise self-control and I’m… David: You’re doing great. Jay: …going to keep the discussion. Yeah. David: You’re doing great. I think if something popped up in the corner of my screen, I think my eye would automatically go to it. So you’re doing very well. To nutshell it really, I think a good question for all of us to ask ourselves is how much time each day can we actually stay focused? It doesn’t have to be eight hours a day. I mean, you can probably accomplish more in one and a half to two hours of focus than you can accomplish in a full eight-hour day, if you’ve got distractions all over the place. As humans, we don’t multitask as well as machines do. You know? Like if you’ve got windows open, you’ve got 10 different things it’s cycling through as well. It’s doing the same thing that our brains do. It’s just that the computers are able to do it a lot more efficiently. Whenever we have to change channels, we have to switch from this mode to that mode, this idea to that idea, project to project, it takes a little while to get things back in gear. And that just adds to your day. It detracts from your focus and it adds hours to your day. Whereas if you can stay focused on one thing, at least long enough to get through enough of it to have accomplished something for the day, you’re going to be way ahead of if you don’t do that. Jay: Yeah, and it can be exhausting too, if you’re trying to constantly output, there may be a point of degradation of your work product. I don’t know what that point is. It’s probably different for each individual. So it may be wise to put your scheduling in blocks and say, “I am going to take 10 minutes and go on TikTok. Or get up and take a walk and talk to some coworkers or things like that.” Just to refresh your brain and get the blood flowing. I don’t think we want to send the message to somebody that no, you have to, for eight hours a day, be… David: Right. Jay: …working constantly on output. That’s probably too much for most people. David: Right. Yeah, but switching… and there’s I believe it’s called the Pomodoro Technique. You’re probably familiar with this one, where you work for 50 minutes and then you take 10 minutes and you distract yourself. Or you take a walk, you stand up, move around. If you were to do that during any given workday, it just sort of gives your brain a break. But getting back to the idea of doing many things at a time versus focusing on one thing at a time. That by itself, I think is going to give you a lot of traction. If you can just discipline yourself as much as possible. And I’m speaking to myself as well. If we can discipline ourselves as much as possible to focus on one thing, we can spend an enormous amount of time thinking about something. I mean, sometimes days or weeks, “oh, I have to do this. Oh, I have to do this. Oh, I have to do this,” thinking about this one project. And when you sit down to do it, it takes an hour or two, you know, like, wow. I probably spent three hours over the course of the last three weeks, thinking about this thing that only took an hour to do. Jay: Yeah, I forget who said it, but they said that time will fill whatever space you allot to it. And so if you give it three hours, it’s going to take three hours. If you give it one hour, you’ll probably get it done in one hour. And that’s just kind of the way that our mind works. David: Yeah, exactly. Jay: Yeah. And one other thing, one other thing, not to interrupt you, about focus. One of the things that really, really bothers me is when I’m working with somebody, whether it’s my boss or a customer or I’m the customer. and I feel like they’re not giving me their focus. Like they’re… David: Right. Jay: …checking their email. Or they’re checking their text. Or people keep coming up and interrupting them. David: Yeah. Jay: When I don’t feel like I have somebody’s focus, it completely ruins my respect for them and it makes me feel like they don’t care about me. And so I think it’s very important to understand how our focus is influencing the people around us. David: Yes. And for salespeople in particular, anybody who’s been in sales has probably been in a situation where you’ve been in a room with someone and you’re looking at them and you’re having a conversation with them. And they’re looking around the room. They’re looking at things. People are buzzing them on the phone. They’re like, “excuse me.” They’re taking the call and you’re sitting there and you’re thinking, “why am I here? Why am I doing this?” So other people’s focus or lack of focus will give you a really good idea of where you stand with them and… Jay: yeah, David: …there are probably some married people who , who struggle with this as well. I need to allocate more time and more focus to my spouse, my kids, whatever it is. This goes to the whole idea of being present, which is probably the subject of another podcast, but just being in the moment and trying to focus on what it is that we need to do. Just long enough to get it done and then identify the next thing and start on that. Jay: Yeah, and then go back. But if you’re going into a sales call, turn your phone off before you go into a sales call so that you’re not tempted to do those kind of things. Knowing what you’re about to do and what level of focus you’re going to need to do it, I think is something that I haven’t given a lot of thought, David, that’s why I’m glad we’re having the discussion right now. David: That’s great. Well, we’re going to be continuing this discussion inside the Inner Circle this week. If it’s something you’d like to ask a question about, if you got a comment about, log into our Inner Circle membership site, if you’re not already a member, go to TopSecrets.com/ic and we’ll see you inside. Jay: Yeah. And when you’re inside stay focused. David: Yeah, stay focused! Jay: That’s right. David: Thanks Jay. Are You Ready to Stay Focused and Improve Your Results? If so, check out the five primary ways we help promotional product distributors grow: Just Getting Started? If you (or someone on your team) is just getting started in promotional products sales, learn how we can help. Need Clients Now? If you're already grounded in the essentials of promotional product sales and just need to get clients now, click here. Want EQP/Preferential Pricing? Are you an established industry veteran doing a significant volume of sales? If so, click here to get End Quantity Pricing from many of the top supplier lines in the promo industry. Time to Hire Salespeople? If you want to hire others to grow your promo sales, click here. Ready to Dominate Your Market? If you're serious about creating top-of-mind-awareness with the very best prospects in your market, schedule a one-on-one Strategy Session here.

Marre de voir tes copines parler d'investissement sur les réseaux sans savoir quoi faire ?Tu as déjà essayé d'investir au hasard sur une application sans trop comprendre les risques ?Doit-on céder à la gamification des applis modernes ou se construire une vraie stratégie long terme ?Entre le FOMO (la peur de manquer une opportunité) et la fatigue liée à la charge mentale, il est très facile de laisser ses émotions et son cerveau prendre le dessus sur la stratégie. Dans cet épisode, je décortique les pièges psychologiques qui biaisent nos choix financiers (notamment la recherche de dopamine) et je te partage ma méthode pas à pas pour construire une stratégie d'investissement solide sur une seule page.Au programme de cet épisode :00:00 - Introduction : Pourquoi tu dois te sentir incluse dans l'investissement00:35 - Les femmes et l'argent00:48 - Le constat : Pourquoi investir au hasard crée de l'anxiété01:50 - Le programme pour bâtir une vision long terme02:20 - Partie 1 : Pourquoi investir sans stratégie appauvrit03:27 - Partie 2 : Le piège de la gamification, de la dopamine et la charge mentale04:58 - Partie 3 : Les 4 étapes pour construire ta stratégie d'investissement08:26 - Le filtre anti-FOMO en 5 questions (à se poser absolument)09:45 - Conclusion & 3 questions d'introspection pour passer à l'actionRessources & Liens utiles :Télécharge mon guide gratuit pour aller plus loin, travailler ta relation à l'argent et maîtriser tes investissements : https://www.vanessamoneyetmindset.com/guideultimeHébergé par Ausha. Visitez ausha.co/politique-de-confidentialite pour plus d'informations.

10 Jahre Trading hinterlassen Spuren – vor allem jede Menge Erfahrungen, Fehler und Lektionen. In dieser Folge geht es um 7 Dinge, die ich selbst gerne deutlich früher verstanden hätte: Warum mehr Wissen und mehr Indikatoren nicht automatisch besseres Trading bedeuten, warum weniger Trades oft mehr bringen, weshalb Risikomanagement wichtiger ist als der perfekte Einstieg und warum deine eigenen Daten mehr wert sind als die Meinung irgendeines Traders im Internet. Außerdem sprechen wir über Strategie-Hopping, FOMO, Emotionen im Trading und eine Erkenntnis, die am Anfang wahrscheinlich niemand hören will: Gutes Trading ist oft ziemlich langweilig. Keine geheime Strategie. Kein perfekter Indikator. Kein Versprechen auf schnelle Gewinne. Sondern 10 Jahre Erfahrung und die Dinge, die ich heute anders machen würde. 4REX Impulse – Trading, Erfahrung und der Weg zu besseren Entscheidungen.

A major real estate decision deserves more than emotion, excitement, or FOMO. It needs preparation.Former commercial airline pilot and real estate investor Ryan Gibson joins Corwyn J. Melette to explore how the discipline pilots use before takeoff can help homeowners, investors, and families make smarter real estate and financial decisions.Ryan explains why having a checklist, understanding your numbers, recognizing warning signs, and knowing when to walk away can help protect your financial future. The conversation also explores how systems can create better investment decisions and why there is rarely a true “once-in-a-lifetime” real estate opportunity.Key Takeaways:04:27 — Take responsibility for your financial future05:58 — Understanding the “V1” point and knowing when you can still stop11:00 — Why every investor needs a checklist12:49 — How complacency can lead to costly mistakes15:58 — Recognizing “get-there-itis” and FOMO18:36 — Knowing when to say no and walk away20:37 — Why better deal flow can help you make better decisions21:38 — Creating systems for analyzing real estate opportunities23:33 — Ryan's investment committee and due-diligence processLegacy Building Takeaway:Ryan's message is simple: don't let emotion make a financial decision for you. Build a process, understand the risks, and know when to walk away.Connect With Ryan Gibson:Website: spartan-investors.comEmail Address: ryan@spartan-investors.comConnect with Corwyn:Contact Number: 843-619-3005Instagram:⁠ https://www.instagram.com/exitstrategiesradioshow/⁠FB Page:⁠ https://www.facebook.com/exitstrategiessc/⁠Youtube:⁠ https://www.youtube.com/channel/UCxoSuynJd5c4qQ_eDXLJaZA⁠Website:⁠ https://www.exitstrategiesradioshow.com⁠Website: https://www.exitlowcountry.com/Linkedin:⁠ https://www.linkedin.com/in/cmelette/⁠Shoutout to our Sponsor: Mellifund Capital, LLCNeed funding for your next real estate flip or build? MelliFund Capital makes it fast, flexible, and investor-friendly. Visit MelliFundCapital.com and fund your future today. Again, that's MelliFundCapital.com, M-E-L-L-I-L-U-N-D, Capital.com.

Cyberbullying, hate online și ce se întâmplă când trăim și interacționăm atât de mult în spații virtuale, despre asta vorbim în episodul 4 din seria Digital Wellbeing. Luciana Baicea stă de vorbă cu Silvia Ciubotaru despre ce se întâmplă cu identitatea noastră atunci când expunerea publică devine un obicei zilnic și ce putem face concret ca să ne protejăm de efectele ei negative.Silvia Ciubotaru este psiholog și psihoterapeut experiențial. Lucrează de peste 15 ani cu adolescenții în proiecte de educație și cultură: festivalul de teatru tânăr Ideo Ideis, ajuns la ediția cu numărul 21, și coordonează programul "In a Relationship" al Fundației Friends for Friends, dedicat prevenirii abuzurilor relaționale.Episodul conține și intervenții despre datele și cercetările legate de formele pe care le ia cyberbullying, impactul asupra copiilor și vârstnicilor precum și programele Școala din Viitor și Hi Digital, aduse de Angela Galeța. Angela este din 2012 încoace directorul Fundației Vodafone România, prin intermediul căreia se desfășoară cele 2 programe.În acest episod discutăm despre:De ce ne cenzurăm singuri online și cum ne schimbă asta imaginea de sineCe arată cercetările pe tineri despre cyberbullying și abuz onlineImpactul expunerii, chiar și ca martor, la violență de limbaj și abuz onlineMecanismele prin care cyberbullying-ul ne face mai dependenți de mediul online și se auto-alimenteazăCum duce mediul online la tot mai multă dezbinare socială și radicalizareCum experimentează diferit expunerea online femeile, bărbații, vârstnicii și persoanele care fac parte din grupuri minoritareCe putem face concret: de la întrebarea 'pentru ce?' până la 30 de minute pe zi fără telefonResurse menționate în conversație:Episoadele anterioare din serieProgramul Școala din ViitorProgramul Hi Digital: suportul de curs și locațiile în care se desfășoară fizicCartea Identitatea virtuală, ⁠de Mihnea Măruță⁠Filmul FOMO, în regia lui Attila Hartung⁠Studiul ISBRD 2026 - Fundația Vodafone, Save the Children, Ipsos⁠ - Copilărie conectată: Starea de bine și reziliența digitală a copiilor și tinerilor din Europa⁠Cercetarea In a Relationship⁠ (2024) despre abuz în relațiile romantice ale tinerilor Proiectele Silviei: Ideo Ideis și Fundația Friends for FriendsSeria Digital Wellbeing este susținută de Vodafone și de Fundația Vodafone."(00:00) Teaser și introducere - de ce cyberbullying""(02:36) Cine este Silvia Ciubotaru""(05:52) Cel mai greu lucru în relațiile online: să distingem adevărul""(09:15) Provocarea contextului prezent pentru știință și educație""(12:10) Ce s-a schimbat în 20 de ani de folosire a rețelelor sociale""(15:58) Trăim pe interneți diferiți: cum ne segmentează bulele informaționale""(17:45) Anxietatea de a ne expune și impactul conținutului care dispare rapid""(21:40) Presiunea de a fi constant prezent și costul intimității""(28:16) Ce este de fapt un 'bully' și ce se schimbă în spațiul virtual""(32:23) Impactul anonimatului asupra empatiei și responsabilității""(39:28) Cercetări despre cyberbullying și abuz și de ce nu îl recunoaștem""(46:33) Impactul abuzului: autocenzură, filtre și frica de a nu arăta 'perfect'""(50:39) 'Lurkerii', cum ne profilează algoritmul și prăbușirea în sine""(54:10) Ce este FOMO și cum ne afectează și modelează în funcție de generație""(01:03:39) Cum folosește Silvia algoritmii ca să aducă oamenii înapoi față în față""(01:12:57) Diferențe de gen și segmentări după rolurile de gen în mediul online""(01:21:13) Vârstnicii în online: lipsa informațiilor, fraudele online și cum ne putem proteja""(01:24:12) Angela Galeța: cum arată concret cyberbullyingul la vârstnici""(01:30:01) Diferențe care apar când (crezi că) faci parte dintr-o minoritate""(01:36:34) Pași concreți pentru a ieși din online și a ne proteja""(01:47:16) Angela Galeța: de ce protecția online e o responsabilitate comună""(01:49:24) Mesaj de final de la Silvia: probabil am fost 'bully' și eu uneori"

Did you know most mattress execs break the #1 sleep rule—while helping you sleep better? Discover why.Welcome to another episode of The FAM Podcast! This week, Tara sits down with Kelly Crenshaw, Senior VP of Merchandising & Product Development at Pure Care—creator of some of the industry's most beloved sheets and a true "black belt in shopping." Kelly opens up about juggling career, motherhood, and self-care, revealing the surprising sleep habits even industry insiders can't always follow.If you've ever felt pressured to “have it all”—career, family, friendships—while sacrificing your own downtime, you're not alone. Kelly shares real talk on why women in the mattress and retail world often put themselves last, and how learning to say “no” has become her secret to sustainable success.From surviving the retail apocalypse when Steinmart shuttered, to building a female-driven powerhouse at Pure Care, Kelly's story is packed with resilience, actionable advice, and a behind-the-scenes look at how bedding brands are weathering supply chain storms. Plus: find out the one thing she wishes every man in the industry understood about women's invisible workload—and how the mattress world could be a lot more fun if women ran the show.Industry pros, sleep-obsessed consumers, and anyone chasing balance—this episode is your permission slip to drop the FOMO, embrace the chaos, and find your own rhythm.Timestamps:00:00 – The sleep rule even execs break (and why) 05:30 – Why “having it all” is a myth—Kelly's honest take 10:46 – Surviving retail chaos: layoffs, pivots, and resilience 15:23 – The secret sauce at Pure Care: quality over price wars 18:08 – What would change if women ran the mattress industry? 22:42 – How Pure Care shields retailers from supply chain shocks 25:03 – From side hustles to dream jobs: lessons from Kelly's boutique 28:01 – The invisible workload women carry in the industry 29:19 – Leadership style: Why “fun” matters (and spicy margaritas) 32:08 – The chameleon approach to career survival 34:59 – Lightning round: Surprising sleep & work habitsConnect with The FAM Podcast:

Andy talks about Momus' latest album, Humperstinck, admits to watching Drake's "FOMO" twice, and discusses Losing Beck, the New York Magazine piece by Josephine Riesman about Beck Hanson's relationship with Leigh Limon. On Rachel's Chart Chat, Rachel from Des Moines does a deep dive into Talking Heads' 1980 album, Remain in Light.

Most salespeople shudder at the mention of CRM software. Why? Because too many platforms are implemented as administrative surveillance rather than tools that empower human connection.In this practical archive episode of Connected Leadership Bytes, Andy Lopata sits down with John Maguire, Regional VP of Sales at SugarCRM. John demystifies the real purpose of Customer Relationship Management, comparing great technology to a local butcher who greets you by name, anticipates your order, and spots when something is amiss.Addressing the staggering 37% global customer churn rate, John explores why disjointed systems alienate once-loyal buyers and how leaders can drive genuine software adoption by embedding data capture into the natural "flow of work." From the critical distinction between fear of missing out (FOMO) and the "fear of messing up" (FOMU) to the principles of ethical selling, John explains how technology should support human intimacy rather than automate it away.What You will Learn From This EpisodeThe Butcher Shop Test: What a small local business can teach multi-million-pound enterprises about customer intimacy and CRM value.The 37% Churn Leak: Why failing to connect customer service platforms with sales data leads to invisible customer losses.The "Single Truth" Mandate: Why senior leadership must live and breathe the rule that "there is only one truth, and that is in the CRM."FOMO vs. Fear of Messing Up: What recent sales research reveals about why buyers freeze, and why human rapport is the only antidote. Actionable InsightsIntegrate Data into the "Flow of Work": Stop forcing your team to do manual admin at the end of the day. Equip them with mobile tools, card scanners, and automatic logging so capturing meeting notes is seamless. Show sales reps the direct personal value of the data (such as automated daily priority lists) rather than framing it as executive oversight.Anchor Urgency to the Client's Timeline: Never push artificial sales deadlines based on internal quotas. Ask deep, empathetic questions to tease out the client's real timeline (e.g., contract end-of-life dates, system launches) and work backward to create a shared implementation schedule that serves their business outcomes.Start the Relationship After the Signature: Shift your organisational mindset so that contract signing is the beginning of the relationship, not the finish line. Schedule regular, value-driven check-ins throughout multi-year contracts so renewals and referrals happen naturally as a matter of course.Connect withAndy LopataJohn MaguireSugar CRM

教師節快樂，這集獻給喜歡學習 or 焦慮學習的你本集 NOW 什麼？

Jordi Visser is a veteran macro investor with 30+ years of experience and the author of the VisserLabs Substack. In this conversation, we break down why bitcoin keeps holding up through bad news, whether Wall Street FOMO is coming for crypto, and how consumer AI agents are reshaping markets. We also discuss BlackRock's AI and crypto paper, Visa and Mastercard, compute, tokenization, and the bitcoin outlook for the next six months.========================Arch Public is an agentic trading platform that automates investment strategies across Stocks, Commodities, ETFs and Crypto. Whether you're rotating into AI & Gold, allocating to the S&P 500, or accumulating Bitcoin, Arch Public executes your plan 24/7 without ever taking custody of your assets or funds. Sign up today at https://www.archpublic.com, and start your FREE automated trading strategy! ========================GalaxyOne is a financial technology platform built for people who want their cash working harder. Open an account with promo code POMP and deposit $10,000 to earn a $1,000 bonus. See site for promotion details → https://www.galaxy.app/pomp1000 Galaxy Premium Yield is an investment note issued by Galaxy Digital LP and guaranteed by Galaxy Digital Holdings LP. It is not a bank deposit, is unsecured, and is not FDIC or SIPC insured. U.S. accredited investors only. Cash deposits held at Cross River Bank, Member FDIC. Securities products are not FDIC insured, not bank guaranteed, and may lose value. GalaxyOne Crypto is not FDIC or SIPC insured. Terms apply.========================Uphold is the easiest way to buy and sell crypto unlike any other platform allowing you to trade in just one step between any supported asset. Check them out at https://www.uphold.com/pomp/ This video includes a paid sponsorship with Uphold. I'm compensated by Uphold for promoting its products and services and may receive commissions from referrals. Terms apply. Not available in all jurisdictions. Digital assets are risky and may result in the total loss of your capital.========================0:00 - Intro0:56 - Why bitcoin & crypto are holding up so well3:43 - Wall Street FOMO & why Visa/Mastercard get disrupted7:20 - Bitcoin's iPhone moment15:04 - AI agent memory & the consumer agent race23:13 - What happens when a competitor blocks AI agents?25:05 - BlackRock's AI & crypto paper30:36 - Will consumer agents move Meta & Mag 7 stocks?35:14 - AI breakthroughs & jobs43:45 - Bitcoin outlook for the next 6 months

It's an abbreviated edition this week, as Mahaffee and Polcari are on the road, but Michael Farr is with you with insights into the markets and Washington. Robert Farr joins with talk of FOMO and what he's hearing from clients.The bond market has spoken, and the equity market is catching up. We are seeing a bifurcation in the market that is more than just September jitters. The Administration is considering a ban on fuel exports and while there may be short term gains from that, there are heavy costs to be paid.

Are you looking to save time, make money, and start winning with less risk? Then head to https://www.ovtlyr.com.Learn more about OVTLYR: https://youtu.be/TUCbD5KovlcWinning trades feel great. But ironically, a big winning streak can create some of the worst trading mistakes you'll ever make.Meta is ripping higher after breaking through a major order block, and that makes it easy to believe you finally figured the market out. That's exactly where trading psychology becomes dangerous. The market hasn't changed. Your perception of the market has changed.One of the biggest mistakes traders make after a big win is stopping their analysis and starting to tell the market what it should do. You make money, your confidence increases, and suddenly the stock “has to” keep going higher. When the trade eventually pulls back, you stop following the evidence and start hoping the market proves you right.The next mistake is even more subtle: winning makes bad decisions feel smart.A good trade isn't necessarily a trade that made money. A good trade is one where you followed your plan from entry through exit. You can make money on a terrible decision, and you can lose money on an excellent decision. Confusing the outcome with the quality of the decision is one of the fastest ways to develop bad trading habits.Then there's the fear of giving back profits. When a position becomes a big winner, traders often reduce their position simply because they're afraid of losing those gains. That can create the exact opposite of what you want: your biggest winners end up being your smallest positions.We also get into rolling deep in-the-money options as one way to manage that psychology. By rolling a position from a higher delta back toward your original target, you can potentially take partial profits, reduce risk, and maintain your position size rather than constantly cutting your winners.But there's another psychological trap: the Midas effect.After several winning trades, you can start believing you can't lose. That confidence can lead to larger position sizes, earlier entries, and trades that don't follow your system. A winning streak can make you too confident to follow the exact plan that produced the wins in the first place.A losing streak can create the opposite problem. You become too scared to take the next trade, even when your system says to take it. Both emotions lead to the same mistake: abandoning your trading plan.That's why consistency and discipline matter so much. Your job isn't to predict what Meta, AMD, or any other stock is going to do next. Your job is to follow a process with a positive edge, control your risk, and let the results compound over a large number of trades.✅ The biggest trading mistakes that happen after winning big✅ Why winning trades can create dangerous overconfidence✅ Trading psychology, FOMO, greed, and position sizing✅ Rolling deep ITM options to manage risk and profits✅ Why discipline matters more than any individual winning tradeIf you've ever had a great week in the market and suddenly felt like you couldn't lose, this one is worth watching. A losing streak can make you abandon your system, but a winning streak can make you believe you don't need one.Subscribe to OVTLYR for disciplined trading strategies that actually make sense.

Una conversación con Pepa Blanes, jefa de Cultura de la Cadena SER, con la cultura como premisa. Hoy,  con el Festival de San Sebastián de fondo. Pero también con la Inteligencia Artificial, uno de los grandes asuntos de estas semanas. Sastre y Blanes hablan acerca de qué es lo que hace que una obra de arte sea imposible de imitar. Como, por ejemplo, que sea rupturista.

This week's Fear Of Missing Out report starts out with very interesting news about possibly locating Noah's Ark. We also cover how many times males have beaten females in female sports and how much they have won. The state of California is attacking a woman's right to choose what to do with her body. We end on Netflix remake of a CS Lewis classic and how they are portraying the Jesus figure.

AI's $3.1 trillion in off balance sheet commitments can end two ways, and both end with the printer running. Jackson, Michael and Brian make the case for Bitcoin, from the biggest ETF inflow day of 2026 to Howard Marks's new memo and BlackRock's AI research.BOOK A CONSULTATIONHolding Bitcoin for decades raises two questions: who protects it, and how it reaches your family. Onramp answers both. Three institutions protect it, and no single one can lose it, move it, or use it. Inheritance built in. Insured through Lloyd's of London. Speak with our team to see if it fits.

In this episode, Candida Fink MD and Jo-Ann Berry take a friendly but critical look at Jonathan Haidt's bestseller, The Anxious Generation. The hosts break down Haidt's four key recommendations for raising healthier kids and challenge some common buzzwords (like “brain rewiring”) with up-to-date research. They mix in plenty of real-world wisdom from the front lines of education and psychiatry, tackling what families and schools are actually up against when it comes to technology, screen time, and the mental health of young people.Episode Chapters & Timestamps00:00 Intro: Coffee Chaos & Catching UpThe episode starts with Jo-Ann Berry and Candida Fink MD swapping coffee disaster stories and welcoming listeners to another conversation at the intersection of school and mental health.01:47 The Anxious Generation: Haidt's Four RulesJo-Ann Berry introduces Jonathan Haidt's four major recommendations: no smartphones before high school, no social media before 16, phone-free schools, and more unsupervised play.03:50 Facing Reality: The Pressure on FamiliesCandida Fink MD highlights the real-life struggle for families to follow these guidelines given the strong pull of community standards and FOMO.07:47 ⭐ HIGHLIGHT: The (Lack of) Science on “Rewiring” Kids' BrainsCandida Fink MD explains there's little evidence smartphones are literally rewiring young brains, pushing for honest, non-scary science communication.11:30 How Tech Hooks Us: Dopamine, Design, and Predatory AppsThe conversation turns to how tech and gaming companies use brain science to keep everyone—especially kids and teens—coming back for more.15:44 Gender Differences & Power for Marginalized GroupsThe hosts discuss how boys and girls are socialized into different tech habits, while also acknowledging that online spaces can be crucial support networks for LGBTQ+ kids and other marginalized youth.21:27 Redefining Success: There's More to Life Than a PaycheckJo-Ann Berry and Candida Fink MD critique the tendency to judge success by career and financial outcomes alone—reminding us that connection, emotional health, and care work matter too.30:43 Free Play & the Lost Art of Appropriate RiskWhy “boredom” and unstructured time (even with a little risk) are keys to kid's growth—and how families used to (and still can) nurture these crucial experiences.34:17 One Good Thing & Closing Shout OutsJo-Ann Berry celebrates feeling better, and Candida Fink MD throws some love to the recent Bad Bunny halftime show for its infectious energy.Key TakeawaysThe Four Pillars: Basic agreement on no smartphones pre-high school, no social media before 16, phone-free schools, and encouraging more free play and independence.Science vs. Hype: No strong evidence (yet) that smartphones and social media are literally “rewiring” brains—so let's be careful with scary language.Compassion & Community First: The most successful changes will come from “ground up” agreements among parents, not just top-down rules.Know Your Tech: Social media and gaming platforms are designed to hold attention; understanding this is the first step toward making smarter choices.Benefits for Marginalized Youth: Online spaces aren't all bad—there's real power and connection for many kids who don't see themselves represented elsewhere.Redefining Success: Remember, there are lots of ways to measure a “successful” life—mental health, relationships, and community are just as important as financial gain.Practical Tips for FamiliesBuild Community Agreements: Connect with other families to set mutual expectations around devices and apps—individual change is hard in a vacuum.Teach Critical Consumption: Regularly talk with your kids about how, and why, tech platforms try to keep them engaged.Encourage Analog Fun: Make space for (and celebrate!) boredom, spontaneous play, and outdoor adventures—sometimes the best learning happens away from screens.Watch for Signs: Keep an eye out for when gaming or online time stops being fun and starts interfering with sleep, relationships, or schoolwork.Resources MentionedBook: The Anxious Generation by Jonathan HaidtBook: Of Boys and Men by Richard ReevesArticle: Is Technology Really Ruining Teens' Lives? by Molly Fischer (The New Yorker)Support: NAMI (National Alliance on Mental Illness) for families navigating youth mental healthFurther Reading: AAP Technical Report on Digital Ecosystems, Children, and AdolescentsShow Notes: [References to selected scientific studies] to be listed in the episode's web notesLooking for more practical suggestions, resources, or future topics? Find us at mentalhealthgoestoschool.com, and don't forget to subscribe and leave us a quick review!If you enjoy our content, please like and follow - and review if you can!

Se Yong Park says FOMO has the first objective feedback loop in social media history: you made money, or you didn't. He frames it as social media three, the speculation graph following Facebook's social graph and Instagram's interest graph, and explains why FOMO deliberately owns none of the layers it trades on. Plus the retention curve finally smiling at month seven, $17 million paid out to creators and referrers in three weeks, and why tokenized equities are next.Se Yong Park is the Co-Founder of FOMO.The Rollup is where the leaders of digital assets and finance converge. Live from the financial capital of the world.Timestamps:00:00 Intro 01:57 Eight Figure Unrealized PnLs On FOMO 04:00 FOMO Launches On Arc Chain 06:13 Meme Coins To Stocks On FOMO Profiles 08:14 Social Graph Meets Finance Is The Vision 10:33 FOMO Goes Where The Volume Goes 12:44 Facebook To Instagram To Speculation Graph 14:55 First Ever Objective Feedback Loop In Social Media 16:00 LeBron James And The Public Trader Problem 17:19 AI Agents Go Viral On FOMO TooGuest Socials:Se Yong Socials: https://x.com/seyongFomo Socials: https://x.com/fomoFomo Website: https://fomo.family/Partners: If you run concentrated liquidity positions you know the grind. Price moves, you're out of range, you're rebalancing at, like, 3am. 1inch Aqua lets you take a different approach. You can stack multiple positions on the same token balance instead of babysitting a dozen pools, and your tokens never leave your wallet. Your liquidity stays awake, so you can catch up on your sleep. Check it out at https://1inch.com/aqua---Dinari - Over 230 1:1 backed tokenized stocks, ETFs & more with dividends. US-based SEC transfer agent. Available on 5+ chains & via API. https://dinari.com/---Space and Time is providing verifiable data infrastructure for onchain finance. A decentralized database, blockchain indexer, and ZK coprocessor in one, giving DeFi protocols,stablecoins, and tokenized assets accurate, provable data. ---Zama is an open source cryptography company that builds state-of-the-art Fully Homomorphic Encryption (FHE) solutions for blockchain.Learn more here: https://www.zama.org/---

00:00 What a Toronto City Councilor does40:50 A 2 hour pod about Marlon54:30 Playa's Ball Nominees announced1:08:25 KWN under heat1:14:25 FOMO stream review1:23:10 New words in the dictionary?1:33:15 UK & Toronto have the same problem1:45:55 Bryson Tiller concert recap Hosted on Acast. See acast.com/privacy for more information.

Welcome to another enlightening episode of Late Boomers! We're Cathy Worthington and Merry Elkins, and we're thrilled to bring you stories and strategies that help you create powerful new chapters in your life and work.In this episode, we're diving into the world of artificial intelligence with the fabulous Kimberly Inez Mays. Kimberly is not just an expert in AI strategy, she's passionate about empowering organizations and individuals to leverage AI in meaningful, human-centered ways.Together, we explore how boomers and late boomers can embrace cutting-edge technologies like AI without losing that irreplaceable personal touch, the value of decades of lived experience, or the authenticity your clients crave.Key TakeawaysAI as an Amplifier, Not a Replacement:Kimberly Inez Mays reminds us that AI is a tool to amplify your expertise, not erase it. Don't rush into adopting all the latest tools from FOMO focus on what supports your unique value and lived experience 02:58.Spotting Bias and Hallucination in AI:Responsible AI means understanding its limitations. Kimberly teaches us how to recognize AI-generated bias, “hallucinations” (confidently wrong outputs), and sycophancy (excessive flattery) and why subject-matter knowledge matters more than ever 06:14.Start Small and Build Confidence:If you're unsure where to start, don't dive in with mission-critical tasks. Try low-stakes activities like using AI for research or even making a fridge-based recipe get comfortable, then scale up 32:02.Maintaining Authenticity & Human Connection:Authentic communication is key. Use AI to support your voice, not mimic others. Kimberly shares her strategy: turning spoken-word content into written pieces that truly reflect your style, tone, and actual voice 16:07.AI Governance and Trust:Even for small teams, setting guidelines about how you use AI is essential especially if you handle sensitive data or serve vulnerable populations. Always prioritize consent, privacy, and clear communication with your customers 23:26.Leverage Lifelong Experience:Your decades of judgment, perspective, and relationship-building are assets that AI cannot replicate. Kimberly encourages us to harness AI as a means to share, amplify, and broaden the impact of what we already know 34:14.We hope you feel inspired and empowered to begin (or deepen) your AI journey on your terms, with your values front and center. If you found value in this episode, please:Subscribe to Late Boomers on YouTube and your favorite podcast platformLike, share, and leave a review to help others find our showConnect with Kimberly Inez Mays on LinkedIn or by email at kim@kimberlyinezmayes.com for more insightsRemember: It's never too late to rethink what's possible. Stay curious and keep bringing your human superpowers to every new chapter!Mentioned in this episode:Late Boomers is part of the eWomenPodcastNetwork. eWomenPodcastNetwork

On this show:Drake's FOMO & New Music The Unfortunate Passing of UMass Dartmouth Student Marvins Antoine PVD Fest 2026 and more! Plus, don't miss The Love Report with this week's topic: Green FlagsFOLLOW, RATE, SUBSCRIBEIt's The Mid-Day Spark Up. Your weekly check-in where culture, conversation, and community collide. Hosted by Cristina Sev and co-hosted by DJ Franchise, this show brings real talk, good energy, and unfiltered perspectives.Week #217, from popular news, to local headlines, love, new music & then someStation: 101.1 FM WBRU 360 & the WBRU360 AppWhether you're listening in the car, at work, at home, or anywhere across the country, this is your reminder to pause, spark your mind, and stay connected.Tune in every Tuesday Live 12 PM to 1 PM from Providence, RI on 101.1 FM WBRU360Original Air Date: 09/22/2026Live Stream on The Website: https://www.wbru.com/ Download The WBRU app on an iPhone: https://apps.apple.com/us/app/wbru/id1274238066 Download The WBRU app on an Android: https://play.google.com/store/apps/details?id=com.wbru&pcampaignid=web_shareFollow Cristina on Instagram: https://www.instagram.com/cristinasev_?igsh=enFkemc2MXAxOWx2 Follow DJ Franchise on Instagram: https://www.instagram.com/djfranchise1?igsh=anptNXh6bTE3am9k Follow DJ Franchise on TikTok: https://www.tiktok.com/@djfranchise1?_r=1&_t=ZP-931Qmux6s3DThe songs played in this episode are: Travis Scott - "Rhyno"Fair Use Notice: This program includes brief excerpts of copyrighted material for the purposes of commentary, criticism, discussion, and review. Such use qualifies as fair use under U.S. copyright law. No ownership of third-party copyrighted material is claimed. All rights remain with their respective copyright owners.

開盤前30分鐘，08:30 - 09:00 讓我們一起解讀財經時事 。 參加財經皓角總經訂閱： 新友會員 https://jackalopelin.com 老友會員 https://yutinghao.finance 我的粉絲專頁 https://reurl.cc/n563rd 網站參加會員手冊 https://reurl.cc/rvvqAr 如有疑問，歡迎來信 jackieyutw@gmail.com """"" ♥️ 打賞網址 ：https://p.ecpay.com.tw/B83478D """"" (不提供退款服務) 《早晨財經速解讀》是游庭皓的個人知識節目，針對財經時事做最新解讀，開播於2019年7月15日，每日開盤前半小時準時直播。議題從總體經濟、產業動態到投資哲學，信息量飽滿，為你顛覆直覺，清理投資誤區，用更寬廣的角度帶你一窺投資的奧秘。 免責聲明：《游庭皓的財經皓角》頻道為學習型頻道，僅用於教育與娛樂目的，無任何證券之買賣建議。任何形式的投資皆涉及風險，投資者需進行自己的研究，持盈保泰。

Happy Monday! The guys kick this episode off with a weekend recap, and find out the meaning of each others’ names. Usher crowns himself the “King of R&B”, Baby D debates what artist, past or present, would make the best streamer, and HBO’s ‘Jay-Z in 8’ documentary releases its first two episodes. Speaking of Hov, rumors circulate the internet that Jay is having trouble finding a Super Bowl headliner, and that he may end up taking the stage himself. Drake’s “FOMO” videos start populating on streaming, and the guys discuss what Lil Durk’s return to music will be like. AZ Chike’s album, “No Rest for the Wicked” drops, as well as an alleged Pusha T and Pharrell leak. Visit your nearest Boost Mobile store or https://www.boostmobile.com/promo/25-foreverSee omnystudio.com/listener for privacy information.

Are Brooks Running shoes becoming the next "cool" sneaker?

On this episode of Bulture podcast:Season 4: Monster: The Lizzie Borden Story (2026) stars Ella Beatty as Lizzie Borden in an eight-episode run examining the 1892 axe m**ders.Kai Cenat says he doesn't think his fashion brand “Vivet” is overpriced when Kaiya Cenat asked about the genre of his fashion brand and he says it's luxury.Chris Brown says he doesn't “want the award anymore” after Rep. Venton Jones apologized for honoring him with a congressional recognition. SEE his post & reactions.Tom Brady reacts to the Jayden Daniels elbow injury on the Commanders-Cowboys Fox broadcast.Rich Homie Quan's longtime girlfriend says there was no will or life insurance, leaving her with just $8K despite his estimated $3.5M net worth.Izzy Wondwossen is safe the Howard senior who went missing on her way to class Tuesday was found in good health Saturday evening after five days of searching by her family and community. Charleston White reacts to Remy Ma's video with rapper Millyz, says somebody needs to warn her·     Tattoo artist goes viral after allegedly exposing every woman who gave him head in exchange for a free tattoo.Funeral home apologizes for accidentally cremating a woman and presenting someone else with her wig on at an open-casket viewing.'Diarra From Detroit' creator reveals what fans need to do to help the show get a season 3.New music Friday is stacked with Offset's new solo single, BigXthaPlug and Belly Gang Kushington's "LITE," and Hunxho's ironically titled album "I Quit Rap."Tennis star Taylor Townsend withdraws from tournament for emergency surgery days after winning US Open title.Jeweler VVS King & Co says he restored BloodHound Q50's Cuban link and Rolex after his mother got them back from police. The chain reportedly still had visible damage, including a chipped area near where it rested around Q50's neck, turning the pieces into deeply personal keepsakes for his family.Jeweler apologizes after receiving major backlash for posting a video of cleaning Bloodhound Q50's chain.The Thompson twins just made NBA history — Amen & Ausar secure massive $100M+ deals worth a combined $363 million.The FBI has identified 35 more potential victims in the alleged $1.3M fraud scheme involving fake 49ers player Daejon Love, bringing the total to 61.Shaq just became an honorary FBI Special Agent after joining 265 law enforcement officials at FBI National Academy graduation.From music to running, Wiz Khalifa's unexpected transformation. The rapper has long since become, almost by accident, a running and sports influencer in general.Converse controversy, and the photograph and backlash is real. What is missing is actual evidence that Converse intended anything remotely resembling what people are accusing them of.Shannon Sharpe says he supports the Buffalo Bills activist fighting to restore O.J. Simpson's place in the team's history after the Bills reportedly left him out of a display at their new stadium. A petition supporting the effort has reportedly gained 5,000 signatures.Angel Reese is dropping a Reese's x Reebok Angel Reese 1 collab. October 20.Jalen Hurts donated $600,000 in a new A/C unit for a school in Philadelphia.NFL Fans React to Ryan Clark's New Show After Controversial Firing From ESPN.Drake's “FOMO” film premiered with nine new songs and surprise features, and he confirmed a 2027 world tour is officially on the way.19-year-old Detroit man sentenced to 2 years of probation for k**ling a gunman at a mall, where the sh**ter had already shot two people and continued firing before he intervened. The sentencing was for carrying a concealed weapon without a permit (ineligible at age 19 under MI law),

SPONSORED BY: BIGTONYSPIZZARI.COM $10.99 WING DEALSPONSORED BY: Kind RI: https://www.instagram.com/kind_ri_/ 0:00 CAP CREW 5:30 Drake FOMO & 2027 World Tour34:19 Jay-Z Super Bowl Mess?41:00 IHOP Attack46:00 Pusha T Leaks54:31 GTA 6 Album & GTA Online1:03:30 Converse Racism Controversy1:12:50 Ed Sheeran Apology1:28:30 Shannon Sharpe on Macklemore1:32:49 Trump News1:43:00 NFL recap with Cam Patriots fan, streamer2:20:00 Patrick Clancy 60 Minutes Interview2:46:29 Rhode Island Local Newshttps://linktr.ee/clubambitionUNCUT PATREON https://www.patreon.com/ClubAmbitionDISCORD COMMUNITY: https://discord.com/invite/M8Kmha8UqvMERCH: https://clubambition.shopListen to Podcasts: https://podcasters.spotify.com/pod/show/clubambitionWatch Spanish Podcast El Po K: https://www.youtube.com/watch?v=BqOENhDvdQ0&list=PLNukP3hLjNb_ITL34h3Gjue3z9KWiF-px Watch CAP: https://www.youtube.com/watch?v=W4YVeSYZi28&list=PLNukP3hLjNb_zwvsdwqTOGvgBb-_Ym2mL&pp=gAQBiAQBFOLLOW US!Podcast IG: https://www.instagram.com/clubambitionpodcast/Owner/Host/Editor | Victor SOUND: https://www.instagram.com/itsavibe/CAP Co-Host / Producer | Marloon: https://www.instagram.com/imfromthe401/CAP Co-Host | Noel: https://www.instagram.com/noelfrias_/CAP Co-Host | Earlyn: https://www.instagram.com/complex.mindset/El Po K Host | Maestro Vitiko: https://www.instagram.com/vitiko_baez_el_po_k?utm_source=ig_web_button_share_sheet&igsh=ZDNlZDc0MzIxNw==El Po K Co-Host | Locotron: https://www.instagram.com/iambenjaminrd?utm_source=ig_web_button_share_sheet&igsh=ZDNlZDc0MzIxNw==Graphic Designer | Edwin: https://www.instagram.com/edrebels/TikTok: https://www.tiktok.com/@clubambition/Twitter: https://twitter.com/ClubAmbition__/-----------------------------------------------------------Want to promote your music or hire us for marketing?Email us if interested in business! - ClubAmbition401@gmail.com-------------------------------------------------------------RIP: Nipsey, Mac, XXXTentacion, Juice, Pop, Von, DMX, Virgil, Dolph, Takeoff, RHQ, CLARK KENT---------------------------------------------------------------------COPYRIGHT DISCLAIMER ALL RIGHTS BELONG TO THEIR RESPECTIVE OWNERS

You’ve Heard of FOMO. What Is FORO? Episode 401 – You've heard of acronyms such as LOL, OMG, IDK, etc. FOMO, or “fear of missing out,” is another big one. But have you heard of FORO, or “fear of running out?” It can be crippling. Here are some ways to deal with it. More SML Planning Minute Podcast Episodes Transcript of Podcast Episode 401 Hello, this is Bill Rainaldi, with another edition of Security Mutual's SML Planning Minute. In today's episode, you’ve heard of FOMO. What is FORO? Some of us are old enough to remember what it was like in the days before LOL, OMG, IDK, etc., etc. IMO, it can all be very confusing. Certainly, most people are familiar with the term “FOMO,” or “fear of missing out.” FOMO can sometimes prompt someone to make an irrational financial decision for fear of missing out on what social media indicates is a good opportunity. It's safe to say that the results do not always match expectations. In our effort to keep up with the latest financial trends, FORO, or “fear of running out,” has gotten some attention recently. It is the anxiety that near or current retirees feel when they think they might outlive their money. It's a significant issue for older Americans. As we mentioned not too long ago, on average, Americans are more fearful about running out of money than they are about dying.[1] In many, if not most cases, there are legitimate and well-thought-out reasons for experiencing FORO. Many people are living longer than expected, dealing with increasing healthcare costs, and facing higher inflation than they expected. Add to that uncertainty when it comes to government benefits, market volatility, and the fact that many people just haven't saved enough for retirement. And without a regular paycheck, real people do sometimes run out of money in retirement. On average, people's net worth will tend to peak just before retirement, then start dropping once they get into their 70s.[2] The results can be tragic if the drop goes all the way—or almost all the way—to zero. But the fear is not always justified. In a recent article at WealthManagement.com, author Evan Cooper makes a distinction between “rational” and “irrational” FORO.[3] Irrational FORO often goes unnoticed. As Cooper points out, some people have become used to living below their means, to the point where they just don't feel right about spending more in retirement, even though they can easily afford it. Other people underspend simply because they don't have an advisor to guide them, and they don't know how much they can afford without the risk of running out.[4] Either way, the result can be a lower quality of life, missed experiences, and making more of a sacrifice than is necessary. Renowned author David Blanchett, head of Retirement Research at Prudential Financial, has taken a hard look at what retirees spend vs. what they can afford. Blanchett has found that, after adjusting for inflation, retiree spending tends to decrease over time. This applies across the board, even for people with more than enough assets to live comfortably and without worry.[5] Blanchett indicates that irrational FORO is more of a problem than many people realize. As he puts it, “those retirees who could materially increase spending do not tend to do so, especially those who are older and spending at higher levels. In other words, while there are both circumstance and choice elements to the observed reductions in real spending, they cannot be written off entirely to circumstances.”[6] There are ways to fight back against irrational FORO. Having a guaranteed lifetime income, often in the form of an annuity, could make a difference. Much like an old-style pension, an annuity may give you the confidence you need to spend your money without worry.[7] Potential long-term care expenses also play a big role when it comes to FORO. People worry that they could have years of comfortable retirement, only to face a devastating decline with huge long-term care expenses towards the end. They may even know someone who has had this experience. Being bankrupted by long-term care in your later years is a real possibility. But planning ahead—using either a life insurance policy with a chronic illness rider, or a long-term care insurance policy—can go a long way in helping your peace of mind, help to relieve the symptoms of FORO, and maybe even improve your quality of life in retirement. Are you suffering from FORO? Is your FORO rational or irrational? Your Security Mutual Life Insurance agent can help you figure things out. Your Security Mutual Life insurance agent can help assemble your financial team and coordinate with your attorneys and tax professionals to review your situation, and to determine the insurance plan that will best suit your needs and objectives. [1] Allianz Life Insurance Company of North America. “Nearly 2 in 3 Americans Worry More about Running Out of Money than Death.” Allianzlife.com. https://www.allianzlife.com/about/newsroom/2024-Press-Releases/Nearly-2-in-3-Americans-Worry-More-about-Running-Out-of-Money-than-Death (accessed June 9, 2026). [2] DeMatteo, Megan. “Average net worth of Americans 75 and up: How much should you have saved?” CNBC.com. https://www.cnbc.com/select/average-net-worth-of-americans-ages-75-and-up/ (accessed September 3, 2026). [3] Cooper, Evan. “Rational and Irrational FORO.” WealthManagement.com https://www.wealthmanagement.com/retirement/rational-and-irrational-foro (accessed September 3, 2026). [4] Id. [5] Blanchett, David. “How Spending Evolves in Retirement: A Smile, a Smirk, or Something Else?” Financial Planning Review. https://onlinelibrary.wiley.com/doi/10.1002/cfp2.70032 (accessed September 3, 2026). [6] Id. [7] TIAA. “How to enjoy your retirement savings and avoid FORO.” TIAA.org. https://www.tiaa.org/public/invest/services/wealth-management/perspectives/how-much-income-in-retirement-fear-of-running-out (accessed September 3, 2026). More SML Planning Minute Podcast Episodes This podcast is brought to you by Security Mutual Life Insurance Company of New York, The Company That Cares®. The content provided is intended for educational and informational purposes only. Information is provided in good faith. However, the Company makes no representation or warranty of any kind regarding the accuracy, reliability, or completeness of the information. The information presented is designed to provide general information regarding the subject matter covered. It is not to serve as legal, tax or other financial advice related to individual situations, because each individual's legal, tax and financial situation is different. Specific advice needs to be tailored to your situation. Therefore, please consult with your own attorney, tax professional and/or other advisors regarding your specific situation. To help reach your goals, you need a skilled professional by your side. Contact your local Security Mutual life insurance advisor today. As part of the planning process, he or she will coordinate with your other advisors as needed to help you achieve your financial goals and objectives. For more information, visit us at SMLNY.com/SMLPodcast. If you've enjoyed this podcast, tell your friends about it. And be sure to give us a five-star review. And check us out on LinkedIn, YouTube and Twitter. Thanks for listening, and we'll talk to you next time. Tax laws are complex and subject to change. The information presented is based on current interpretation of the laws. Neither Security Mutual nor its agents are permitted to provide tax or legal advice. The applicability of any strategy discussed is dependent upon the particular facts and circumstances. Results may vary, and products and services discussed may not be appropriate for all situations. Each person's needs, objectives and financial circumstances are different, and must be reviewed and analyzed independently. We encourage individuals to seek personalized advice from a qualified Security Mutual life insurance advisor regarding their personal needs, objectives, and financial circumstances. Insurance products are issued by Security Mutual Life Insurance Company of New York, Binghamton, New York. Product availability and features may vary by state.​ SubscribeApple PodcastsSpotifyAndroidPandoraby EmailTuneInDeezerRSSMore Subscribe Options

In the latest episode of Mitten Money, Kevin and Will dive into behavioral investing and the psychology behind the choices we make with our money. From fear and FOMO to confirmation bias and reacting to market headlines, they discuss why emotions can make it difficult to stay focused on the bigger picture.Tune in as they share their own investing lessons, the importance of having a plan, and how a disciplined, long-term approach can help keep emotions from driving your financial decisions.Comments made are not to be considered endorsements of Tri-Star Trust or its employees. All viewpoints expressed herein belong solely to the commentators, whether or not they are employees or clients, and remain uninfluenced and uncompensated by Tri-Star Trust or any of its affiliates.

Are you looking to save time, make money, and start winning with less risk? Then head to https://www.ovtlyr.com.Learn more about OVTLYR: https://youtu.be/TUCbD5KovlcMost traders think they need a better stock pick. What they really need is a better process.The market does not care how smart you are, how confident you feel, or how badly you want your money back. Fear, greed, FOMO, boredom, and hope can turn one emotional decision into a brutal loss.In this OVTLYR lesson, we break down trading psychology and show why disciplined traders rely on systems instead of feelings. You will learn how to stay rigid in your trading plan while remaining flexible about the outcome.Here's what we get into:✅ Why intelligent people make irrational trading decisions✅ How fear and greed sabotage profitable setups✅ Why a winning streak can be dangerous for beginners✅ When cash is your strongest position✅ How position sizing can reduce fear and protect your account✅ Why the best trade is sometimes no tradeIf you have ever chased a stock, moved a stop loss, sold a winner too early, revenge traded, or forced a setup because you were bored, this lesson will hit home.Watch now and start building the emotional discipline, risk management, and repeatable trading process needed to trade with real, lasting confidence.

Dr. Tabatha and Ashlee pull back the curtain on their coaching calls, rapid-firing real questions from Fast to Faith coaches: childhood wounds behind emotional eating, the truth about protein and hair loss, the vagus nerve and cortisol, and how to spot when you are underfueled. Plus one simple prayer practice for a better night's sleep, starting tonight. In This Episode: ●       A coaching academy rapid-fire: real questions Fast to Faith coaches are hearing on their weekly calls, answered live.●       How childhood wounds and attachment injuries show up as emotional eating, FOMO around food, and old hurt surfacing mid-program.●       Why your subconscious actually lives in your heart, not just your brain, and how to ask God to rewrite the programming running your food choices.●       The right way to journal versus venting into a diary, and why gratitude shifts what your brain starts looking for.●       What protein actually does for weight loss, and why 150 grams a day does nothing if you are sedentary.●       The truth about protein and hair loss (hint: it is probably not your protein intake).●       One thing to do tonight for better sleep: handing your worry list to God before your head hits the pillow.●       Mid-roll: Mag Lift — magnesium support for sleep, blood sugar, and mood.●       Red flags for underfueling: poor workout recovery, the 2 to 3pm crash, falling asleep on the couch after dinner.Closing scripture: Proverbs 3:5-6 Your healing story is someone else's roadmap.And if you are still in the middle of your own - you need this too.If you have ever wondered what it would look like to turn your transformation into your calling Dr. Tabatha live Join here:https://api.leadconnectorhq.com/widget/bookings/from-stuck-to-freeJoin Dr. Tabatha LIVE: https://api.leadconnectorhq.com/widget/bookings/from-stuck-to-freeReady to go deeper?Start here: 5-Day Empowered by Faith Challenge ftf.fasttofaith.com/empoweredbyfaithdiyShop Dr. Tabatha's supplement line: Use code PODCAST for 20% off your first order: shop.fasttofaith.comGet the book: Fast to Faith: A 40-Day Awakening: book.fasttofaith.com/bonus?am_id=fasttofaith5413Fast to Faith is hosted by Dr. Tabatha Barber — OB/GYN, functional medicine physician, and founder of the Fast to Faith Sisterhood and Coaching Academy.

This episode is a hilarious and relatable conversation about FOMO (fear of missing out) and the iHeart Music Festival.See omnystudio.com/listener for privacy information.

In this episode of the Faces of the Future Podcast Millz and Rocket are back with an all new episode. The guys give their thoughts on LSU's Head Coach Lane Kiffin returning to Ole Miss after his departure last year and react to the viral diss video calling him a rat. Next they discuss Ant Edwards new Adidas commercial where he throws shots at Lebron and the Sixers. Then they give their thoughts on if sports betting has ruined sports, react to their first watch of Drake's FOMO short film, Ed Sheeran speaking out, plus more.Support the show

Episode 441 — Roderick & Cari are back with another week of music, headlines & culture.   This week, the guys get into the latest from Jhene Aiko and Drake's FOMO, while touching on Gunna's upcoming album SPLURGE.   On the news side, Roderick & Cari break down the Lil Durk case, Diddy's legal team shakeup, Tay Keith's cause of death, and the latest surrounding Ed Sheeran's tour and Macklemore.   Tap in — new episode out now

Tickets for AIE NYC now open, and apply for the invite-only AIE CODE. Join us!We have an unusual relationship with today's guest: for years since coauthoring the InstructGPT paper, Diogo Almeida had been saying that API-available frontier models have been going down the wrong path, everything from the alignment to refusals to reliability perspectives, that we have dropped every mode other than autoregressive chat-tuned LLMs because of the overwhelming success of ChatGPT.In a launch video now viewed ~40M times (by comparison, GPT4o was 22M, Fable 5 was 15M, Navier Stokes was 74M, and 6 Astra was 137M), Diogo introduced Jev and it immediately took over the AI timeline — we'll skip full Jev explainers because your favorite AI influencer/educator has probably already done one. We also collected:* the official patterns and cookbooks you should see first, from Allie* Jev usecases* speed based - games and computer use* the voice + computer use example we discuss at 1h34 mins* voice + browser control* The must not miss Doom demo* Driving cars in games* Excalidraw* virtual try-ons* “Smart Games”/smart NPCs* guided responses in text messages* Jev for coding agents has an official guide * jev for linting* compacting tool calls* reasonable pushback from Theo - Diogo has published a note on the Tyranny of the KV Cache that you should read as a followup after the pod for Jev + coding agents, because of his belief that Cache Rules Everything* Programming Languages built atop Jev (Diogo's fave)* Jev for analytics replay and user journey review* “dark data”* entity resolution* natural language search* “smart software”* a core goal of Jev is to “disappear into the background” - eg as unremarkable as regex* Jev as a judge* Jev memes* Jev vs LLM capabiltiies* blending transformers and classifiers* about the confidence api* Jev vs GLiNER (note difference/pushback, agreed, agreed, agreed)* Jev on trolley problem* Jev BushInstead we'll focus on what we can uniquely offer — a broader philosophical and mission-based understanding of how and why Jev was created, and what you should expect next in terms of future models from TypeSafe (ReasoningJev?) and what usecases and ideas you should work on vs the 55th low effort clone of Jev's API or doing a generic JevBench benchmark - something Diogo has rejected publicly.Why RLCD: Three kinds of RLHF, and why they are ALL the wrong north starDiogo knows a good deal about RLHF, given that he was on the team that pioneered post-training at OpenAI — and traces the three branches to Christiano et al 2017 (the robot backflip demo), Stiennon et al 2020 (learning to summarize) and his baby, Ouyang et al 2022 (InstructGPT). From there on, every innovation from Function Calling to Structured Outputs to Reasoning felt like a hack on top of the string based, sequence to sequence prediction paradigm. As he mentions on the pod, from 2023-2024 he struggled unsuccessfully, due to both personal and organization underestimation, to train a model that accurately addressed what he saw as the core problem with making LLMs the heart of software: reliability.Jev's core innovation is "Reinforcement Learning for Calibrated Decisions”, a novel, unpublished technique that optimizes for “answers with epistemically honest probabilities on System One tasks” rather than human rated feedback (RLHF) — which causes hallucinations, sycophancy, and permanent reliance on humans — or programmatically verifiable outputs with rubrics (RLVR) — which solves Navier Stokes but exacerbates jagged intelligence and doesn't integrate well with other software.We've talked about the calibration problem before on the pod, but probably the single best place to understand why RLCD became necessary is Diogo's AIE talk, which discusses why a generation of training helpful AI assistants for humans has impaired them for training models for composable, programmable AI for automation.At the end he also teases his contrarian opinion on scaling laws - which teases how to build a modern neolab without the billions of dollars the major labs have…The Bitterest Lesson: Tasks and Data beats ComputeWe spend a good amount of time discussing Diogo's essay on the Bitterest Lesson:His point is that “You get what you optimize for and the bitterest lesson in ML is that the most important part of it isn't ML at all.” - and picking the right north star, eg upvoting for user preference vs being integrated into tool calls - makes everything else fall in line.We're excited to catch up with a freshly dyed Diogo to discuss:* Why AI can solve extraordinarily hard problems but still fail to automate basic work* What System One Models are and why Jev is built for software rather than chat* RLHF, mode collapse, calibration, and the hidden costs of optimizing for human preferences* Why refusals become a problem when AI is buried inside software dependencies* Why TypeSafe rejects public benchmarks and optimizes for intelligence per dollar* The “bitterest lesson”: why the right task and the right data can matter more than compute* Why TypeSafe thinks of itself as a data lab rather than a model lab* RLCD vs. RLHF and RLVR as fundamentally different North Stars for AI* Why reliability and robustness matter more than simple determinism* Jev's programming primitives and how intelligence maps into software control flow* Why developers should decompose AI workflows into small, measurable decisions* How structured state replaces giant prompts and system messages* Why Diogo thinks AI should eventually disappear into the background of software* The “inverse SaaS-pocalypse” and how AI could supercharge existing software* System One vs. System Two intelligence and the limits of reasoning models* Dark data, computer use, real-time intelligence, and Jev's biggest early use cases* Why Jev could reshape coding agents built around a single-model architecture* Why Diogo says he wouldn't pre-train with $1 billion* The OpenAI journey that led to TypeSafe and why he thinks many neo-labs are approaching AI incorrectly* Coding agents beyond the KV cache, shared state, sub-agents, and the multi-agent futureDiogo Almeida* LinkedIn: https://www.linkedin.com/in/diogomda* X: https://x.com/CompleteSkeptic* TypeSafe AI: https://typesafe.ai/Timestamps00:00:00 Jev Launch Week and the AI Economic Revolution00:02:50 What Is Jev? System One Models and Programmable AI00:05:54 RLHF, Mode Collapse, Calibration, and Yann LeCun00:10:29 Programmatic AI, Refusals, and Safety Alignment00:17:21 Why TypeSafe Rejects Public Benchmarks00:20:43 The Bitterest Lesson: Data, Compute, and the Right Task00:24:59 RLCD vs. RLHF and RLVR00:28:42 Why Powerful AI Still Hasn't Automated the Economy00:39:55 Reliability, Robustness, and Determinism00:48:11 Model Versioning, LTS, Speed, and Intelligence per Dollar00:54:04 Inside Jev's API and Programming Primitives00:58:28 How to Build with Jev: Structure, Decomposition, and Small Decisions01:18:28 The Inverse SaaS-pocalypse and AI Disappearing into Software01:33:21 Computer Use, Dark Data, and Jev's Biggest Use Cases01:38:48 How Jev Could Reshape Coding Agents01:41:00 AI Safety, Frontier Pacing, and the Limits of RLVR01:48:03 Why Diogo Wouldn't Pre-Train with $1 Billion01:55:19 The OpenAI Story Behind TypeSafe02:01:41 Why Diogo Thinks Most Neo-Labs Are Getting AI Wrong02:08:00 Coding Agents Beyond the KV Cache and the Multi-Agent FutureTranscriptIntroduction: Jev Launch Week and Developer MomentumSwyx [00:00:00]: Okay, we're in the studio. A special occasion because this week, Diogo, my good buddy, launched Jev, and it's been taking over the complete timeline. How do you feel? What's it like to be you right now?Diogo Almeida [00:00:16]: Emotionally?Swyx [00:00:17]: Yeah.Diogo Almeida [00:00:17]: Never been worse. Like, I'm a ragged corpse of a person right now because there's so much going on, and I'm like a technical CEO, so I have, like, a lot of fires to fight.Swyx [00:00:29]: Yeah.Diogo Almeida [00:00:29]: But mentally, I feel—I say this all the time, and I've been saying this kind of for years in my over-under events. Like, I feel like the entire AI field is like one of those, like, carnival house of mirrors, and everyone is just insane and saying the weirdest stuff that doesn't make sense. And it feels like for just this week, like, I'm on a better in sync with reality and like, oh, people see it now. AI can be so much more than what was once thought.Diogo Almeida [00:01:06]: And like, yes, we are going to make. Like, an AI-based economic revolution is back on the table, and this is f*****g awesome.Diogo Almeida [00:01:17]: I'm so jazzed the developers get it. It's, it's, Yeah, and I want to show my eternal gratitude to the developers andSwyx [00:01:25]: Yeah.Diogo Almeida [00:01:26]: I'm so jazzed about the community and everything. It's so great.Swyx [00:01:28]: Yeah, you were saying yesterday that you decided to prioritize the town hall and not a bunch of, like, VIP, investor-type people because you wanted to make sure that they are the people that you get your most, attention, right? The engineers, the developers.Diogo Almeida [00:01:43]: Yeah, it felt a little like, oh man, I'm talking to, like, really important people right now.Swyx [00:01:47]: Yeah.Diogo Almeida [00:01:47]: I probably shouldn't reveal who.Swyx [00:01:48]: Yeah.Diogo Almeida [00:01:48]: But it feels a little bit dirty for me to, I'm, like, perhaps overly genuine in things. Like, it feels, like, dirty if, like, in my gigantic calendar event of people to talk to, the community isn't one of those.Swyx [00:02:04]: Yeah.Diogo Almeida [00:02:04]: And actually, in my ideal world, it would be, like, community all the time. I was thinking, “Should I host a town hall while walking to your studio?” And I'm like, “No, that's too crazy.”Swyx [00:02:12]: Sure. Yeah. Well, you guys have been hosting town halls on Discord. Discord is now 100,000 people. Your Twitter'sDiogo Almeida [00:02:19]: I don't follow these stats.Swyx [00:02:20]: Yeah.Diogo Almeida [00:02:20]: So holy s**t.Swyx [00:02:21]: Your Twitter's blown up. It was, it was really funny ‘cause, like, at AIE, you were like, “Yeah, follow me please,” and then you didn't, like, provide even your handle.Diogo Almeida [00:02:29]: I'm a noob. I'm a noob.Swyx [00:02:29]: You're such a noob.Diogo Almeida [00:02:30]: I'm a noob.Swyx [00:02:31]: But no, but that, like, that's, like, positive aura that, likeDiogo Almeida [00:02:33]: CoolSwyx [00:02:33]: You don't know how to promote yourself.Diogo Almeida [00:02:35]: Yeah. Someone, like, called me out when I posted, like, “Holy s**t, we're all three twending-- trending topics.” And then they're like, “That's a personal feed.”Swyx [00:02:42]: That's a personal, yeah.Diogo Almeida [00:02:43]: And I'm like, “Oh, no.”Swyx [00:02:44]: Of course, of course it'll trend to you.Diogo Almeida [00:02:45]: Cringe. Yeah.Swyx [00:02:45]: Yes, ‘cause it's what you clicked on.Diogo Almeida [00:02:47]: Yeah.Swyx [00:02:47]: So okay. Let's, Yeah, so congrats on everything.What Is Jev? System 1 Models and Intelligence per DollarDiogo Almeida [00:02:50]: Thank you.Swyx [00:02:50]: We'll talk about more, details as you have them. But let's, for people who are, like, living under a rock or just want, like, the definitive thing, what is Jev?Diogo Almeida [00:03:02]: Whew. Let me think about. That's a hard one.Swyx [00:03:07]: Okay. And I'm happy to, like, re-ask if you wanna kind ofDiogo Almeida [00:03:09]: No. I'm happy toSwyx [00:03:10]: OkayDiogo Almeida [00:03:10]: I'm happy to, like, just jam on it.Swyx [00:03:12]: Yeah.Diogo Almeida [00:03:13]: I will say, like, the first thing that I'm relieved about with this question is now I don't have to answer that question to my parents anymore ‘cause ChatGPT can just explain it.Swyx [00:03:20]: Nice.Diogo Almeida [00:03:21]: So the way I see it is we new-- need a new class of models. We're not attached to naming that class of models. Our-- the most accurate name we've come up with is System 1 models.Swyx [00:03:33]: Yeah.Diogo Almeida [00:03:33]: There will be reasons, but it's-- there's a reason why we don't call them decision models, because, like, they will be. Like, System 1 is beyond that. That's all I can say. We didn't expect this to be our big launch, so we have stuff in the tank.Swyx [00:03:48]: You should have said low-key research preview.Diogo Almeida [00:03:52]: It kind of was, right? It kind of was. But we. So there's a class of models that we describe them as, like, machine-native, System 1, large programmable. I think these are-- is the class of models where the goal is for code to be the consumer. So as opposed to, lar-- pre-trained large language models, which are meant for, like, autocomplete of the internet, or RLHF models, like chatbot instruction-following models, which are meant to, like, reply to text, or RLVR. It's in a weird gray area with RLHF. Like, these are meant to have things that directly are consumed by code, hence the name type safe. So the thing we really want is to have, like, AI, like, be as powerful as possible, and we think the way to do that is to integrate it with software. And we are designing everything, beyond just the outside, the deep internals of the model to be optimized for software. So number one, Jev is our first large programmable model, or a System 1 model, whatever you want to call it. Jev is meant to be optimized for intelligence per dollar, hence the name Jev.Swyx [00:05:03]: Jevons Paradox.Diogo Almeida [00:05:03]: Jevons Paradox, yeah. And it's optimized for intelligence per dollar. I love this debate with people about what is the most important between reliability, cost, calibration, and speed. And Jev is meant to be. Jev will be the name of models that will be on the frontier of intelligence per dollar. There's other ways to optimize it, like, ML, or at least if you're good at ML, it's all about trade-offs. And we are just going all out on that.Calibration, Mode Collapse, and the Limits of RLHFSwyx [00:05:31]: Yeah. And to me, like, calibration is one of the new things that people weren't talking about as much. We've done an episode In the past, with Clementine Foreia of Hugging Face, where they were like, “Yeah, actually, y- they're just.” Or, and this is your whole argument about RLHF, is they're more collapsing towards what you want to hear the mostDiogo Almeida [00:05:50]: OohSwyx [00:05:50]: Or what is most likely, instead of, like, their own internal confidence about a thing.Diogo Almeida [00:05:54]: Can I soapbox on that for a second?Swyx [00:05:56]: Go ahead. Yeah.Diogo Almeida [00:05:57]: Cool. Like, I've been heard that your audience is the most technical, so I actually want to get into that.Swyx [00:06:02]: Yeah.Diogo Almeida [00:06:03]: And if- I went through extreme precision to make sure everything in our launch video is accurate and real. Apparently, that's very unusual. One of the things that no one paid attention to was the downsides of RLHF, in particular mode dropping.Swyx [00:06:17]: Mode dropping or mode collapse?Diogo Almeida [00:06:19]: It's the same thing.Swyx [00:06:19]: Is that what you call it?Diogo Almeida [00:06:20]: It's the same thing.Swyx [00:06:20]: All right.Diogo Almeida [00:06:21]: And I wanna have a blog on this eventually, but I, like, want to tell as many people this as possible ‘cause I think it's a very interesting thing. So the spicy take, I believe in Yann LeCun a lot. I think Yann LeCun's takes are actually among the closest toSwyx [00:06:36]: What about this?Diogo Almeida [00:06:37]: Well, should I address this now or should I wait and go into mode collapse?Swyx [00:06:40]: No, later. Go mode, go mode collapse. I don't know.Diogo Almeida [00:06:42]: So I actually think that among takes, Yann LeCun's is among the most accurate. But he has this very famous/infamous slide about,Swyx [00:06:52]: The cake?Diogo Almeida [00:06:53]: LLMs are doomed.Swyx [00:06:54]: Okay.Diogo Almeida [00:06:54]: Like that one where he, like, has, like, a pie chart with, like, a tiny par-- tiny little thing- and says that as you increase sequence length, the probability of it making an error goes in. Yes, this one. This one. I love this one, because it's one of these things that seems mathematically obvious, but is obviously wrong, right? Like, it's mathematically obvious, but it doesn't empirically hold. And this is my favorite thing to teach people about, like, where youSwyx [00:07:21]: What's the disconnect, right?Diogo Almeida [00:07:22]: Exactly. And may I or you want to tell me?Swyx [00:07:27]: About mode collapse?Diogo Almeida [00:07:28]: Oh, no. Oh, so mode clop-- collapse is related to this.Swyx [00:07:31]: Yeah.Diogo Almeida [00:07:31]: The disconnect happens because if you are in a mode covering or a calibrated distribution, you are, like, not. You are not overly punished about having outliers. You'd expect, like, something. Some amount of the time you'd be out of distribution, some amount of time you'd be in distribution. That's what happens when you cover the distribution. This was like models before GANs. They made blurry images, right?Diogo Almeida [00:07:54]: Instead, GANs mode drop. They, like, drop the minority classes and just do the really common ones. And this is why this effect doesn't happen, right? Like, instead of be-- in order to generate really long strings, without making errors, they need to, like, be extremely conservative because it's e- really easy to see when an error happens. It's very hard to see when, like, a subtle thing that looks correct happens. And that calibration is, like, total poison into, like, the probability distributions of strings.Swyx [00:08:22]: Yeah.Diogo Almeida [00:08:23]: And it's, it's a nuanced take and like, I think that This is why this doesn't happen, and this is why strings are so bad at, decision-making or, overloading the string models are for decision-making is, like, a bad time.Yann LeCun, JEPA, Scaling Laws, and Practical ResearchSwyx [00:08:38]: And while we're on the topic of Yann, do you agree that his fix i- with-- which is like a world model, like a JEPA-type, embedding thing is the right solve? So basically, like, the. One of the reasons that it could fail is because you're trying to reason over token outputs and then, and then just looping back again and going. Keep, continuing going until you reach, like, a end of sentence. Like, is that, And his solve is JEPA, right?Diogo Almeida [00:09:02]: Yes.Swyx [00:09:02]: Which is, like, joint ambition,Diogo Almeida [00:09:04]: YeahSwyx [00:09:04]: Joint embedding prediction. So like, is that the solve or, like, do you have a. Do you have a take on that?Diogo Almeida [00:09:10]: Oh, man. I probably shouldn't talk too much about the insides of ML, but I will say that my brand, other than unhinged, is practical.Diogo Almeida [00:09:20]: Like, even my take here is practical. And like, I'm. Am I a scaling law fan? Depends. It dep-- it's, it's, it's, like, it's. Scaling laws tell you how much better you get at a thing for amount in.Diogo Almeida [00:09:33]: A scaling law does mean exponentially more resources for normally sublinear gains, which looks to be a bad investment unless those, like, linear gains are, like, really valuable. But it's all. To me, it's all about, like, what can we do with what we have to make the biggest possible f*****g difference? I can curse.Swyx [00:09:51]: Yeah.Diogo Almeida [00:09:51]: Yeah.Swyx [00:09:52]: Yeah.Diogo Almeida [00:09:52]: Yeah.Swyx [00:09:53]: We're, we're, we're approved for adults.Diogo Almeida [00:09:54]: Hell yeah.Swyx [00:09:55]: And also we have a scaling law thing if you wanna go into that later.Diogo Almeida [00:09:58]: Oh, I could if we. See, that part is not super relevant right now.Swyx [00:10:02]: Yeah.Diogo Almeida [00:10:03]: I actually. If you wanna go into my bitterest lesson, I think that's more relevant.Swyx [00:10:06]: Okay.Diogo Almeida [00:10:06]: But like, to me, I'm all about, like, pragmatics. And I think that the JEPA stuff is really cool early research. I really love awesome research. Is it practical yet?Diogo Almeida [00:10:21]: Probably shouldn't say. But like, there's just a lot of.Diogo Almeida [00:10:29]: I just think there's just, like, so many diamonds in the rough let all over the research world right now that haven't been polished because people don't know how to, like, do the right task. And I think that what our launch did, it. Does it kickstart us as a company? Like, yes. Will it be great for us as a company? Yes. I think it's gonna be, like, even greater for this direction of, like, programmatic AI. There was going to be, like, a gold rush on top of us for. ‘cause, like, software is super f*****g charged. But I think there's gonna be a gold rush parallel to us as well on, like, all the different ways we can expose things to make software more powerful so people can make even cooler stuff. And then we are back to, like, early internet energy?Swyx [00:11:12]: Yeah.Diogo Almeida [00:11:12]: And I think that's why, like, the Twitter is just like, “Jev.”? It's, it's like. It is a partySwyx [00:11:18]: It's inspiring because it's, it's, like, so different than what we're used to, which is, “I'm sorry you can't do this, but we do scaling laws and only the big labs can do it,” right?Diogo Almeida [00:11:28]: That. Actually, if I. I'll, I'll make a tangent if that's okay.Swyx [00:11:32]: Yeah.Diogo Almeida [00:11:32]: I think you might enjoy this.Swyx [00:11:33]: Really? Our five tangents in. It's good. It's fun. Yeah.Diogo Almeida [00:11:35]: Oh, yeah. I get lost at all my tangents.Swyx [00:11:37]: This is gonna be horrible for the listeners to figure it out, but they're gonna figure it out. It's fine.Safety Alignment, Refusals, and API PhilosophyDiogo Almeida [00:11:40]: Yeah, we can edit it in post.Swyx [00:11:40]: This is my response. Yeah.Diogo Almeida [00:11:41]: So popular thing on Discord, that people keep asking me, I haven't had the time to explain it yet, is why am I opposed to safety alignment and why do we not refuse? I'm not opposed to safety as a principle, but I think that safety alignment is generally misaligned with users. And refusal is just, like, obviously a type error. Like, if you're a human being and you're chatting with, like, a bot or whatever, you're cloud coding, and a refusal happens, like, “I'm sorry, I can't read DNA.py.” that's an annoying time. It's anno- it's, it's annoyingDiogo Almeida [00:12:18]: Right? But you can work with it, right? And you're forced to work with it ‘cause of Stockholm syndrome.Diogo Almeida [00:12:23]: I have stories about that too. I need another tangent deep in here. But like, if you ever want this in a dependency running in the background, what happens if that refuses? What if someone else is using that dependency? They don't know what that system is. Like, you want the software to just stochastically break because a user sent, like, a weird message in there?Diogo Almeida [00:12:42]: Like, that is, like, straight-up insanity. It's coming from a place of, like, people who do not understand software, do not understand programming, and like, they are obsessed with, like, I believe this, horseless carriage of, like, AI coworker instead of unearthing, like, the full power of AI.Swyx [00:13:01]: Fair enough.Diogo Almeida [00:13:01]: Yeah.Swyx [00:13:01]: You want something that is the core kernel that is usable everywhere.Diogo Almeida [00:13:05]: Yes. Exactly. Like, the cognitive core, right?Swyx [00:13:07]: Yeah.Diogo Almeida [00:13:08]: And you need this thing to be s- like, so general, so optimized for its use cases. You want it to be, like, you want it to work on all the future use cases, all the weird s**t that people are doing.Swyx [00:13:19]: Yeah.Diogo Almeida [00:13:19]: We obviously didn't train on any of that stuff. Is it surprising that it works? No, ‘cause we trained on weirder stuff, my friend.Diogo Almeida [00:13:28]: So. But one tangent up about, like, safety alignment.Swyx [00:13:32]: Okay.Diogo Almeida [00:13:32]: Safety alignment makes sense for a product, in my opinion, for, like, ChatGPT and Claude. Like, it, What safety, what makes safety and capability alignment different is capability alignment is, like, about doing what the user wants. That is sick for software engineers. They want their thing to do the thing, and the more predictable it is, the less they have to test it and play around with it. Jeb is not anywhere close to that yet. It could be, but like, there's so many more nines of reliability that we want in order to make it so good, like a database query, that you don't even have to think about it. It is just there when you need intelligence. But safety alignment is, like, the opposite of instruction following. It's when you want to follow someone else's instructions, like OpenAI and AnthropicSwyx [00:14:13]: The RAGs value stack.Diogo Almeida [00:14:14]: Exactly. And this makes a lot of sense for a product. Again, like, ChatGPT should do. Y- you sh- like, if they don't want to, like, do, like, some, not-safe-for-work role play with ChatGPT, that's on them because, like, maybe that's, what their users who have, like, parents and kids want. Like, n- that's fine. But in an API, that's nuts, right? Like, that's completely unacceptable because, like, people need to, like, program around this, and that is, that's so anti-user that it's. It. I'm. Huh. I can be an angry person, so I should try to calm down.Swyx [00:14:52]: It's, People get your passion, and I think that's really good. The one pushback I'll give you is, like, what if we use it to kill people, right? Like, that is the actual. Like, n- the not-safe-for-work thing, it's private, personal, whatever. But like, yes, like, we will use it in war. And like, that is, something that companies can reasonably prefer their APIs not be used for.Diogo Almeida [00:15:14]: I get that. I think that there's, like, pragmatic places where that opinion can be held. I don't think the foundation of, like, a general-purpose technology is that place, personally.Diogo Almeida [00:15:27]: Like, would I prefer that our stuff is not used to kill people? Obviously. Would I prefer it's used for, like, all sorts of, like, great stuff in the world? Obviously. Will I put my thumb in the scale for that? Yes. Will I do it at the technological layer? Absolutely not, because that will fracture the intelligence. Every single time you mean it to overfit to some weird stuff, you're fracturing its intelligence more and more. And like, these things are fractured to the, like. They're so darn fractured right now.Swyx [00:15:54]: Yeah.Diogo Almeida [00:15:54]: So and as a furthermore thing, to me, it's like I think intelligence will be more like a database than a coworker. Like, I don't think it's up to databases to add checks on whether or not they're used for, like, what's something that's not great? Like, CIA. Actually, I don't know what the CIA does, really. You can imagine. You can imagine, killing people who are not even bad or whatever.Diogo Almeida [00:16:21]: And like, I don't think it's the database's responsibility for that. And furthermore, like, a thing that has been weird to me is when people, like, sign up for our thing on Slack and they're like, “Hey, we're gonna deploy this. Can we deploy this thing?” I am just like, “My brother, we are an API. You are a developer. It's none of my business,” right? Like, you shouldn't know what the whole task even isSwyx [00:16:46]: YeahDiogo Almeida [00:16:46]: Because it should be decomposed into small things. We shouldn't be able to know what the downstream users are doing, and that is, like, a good boundary to give software engineers maximum power. Ideally, they use it for the good stuff, and ideally, we can, like, help them and like, we've talked about, like, doing open source and charity and all of that. We have absolutely no time for anything else right now. But like, they will get any of that bias out of the technological layer as long as I'm in charge.Privacy, Benchmarking, and Trusting IntelligenceSwyx [00:17:11]: Yeah, that's great. While we're on the topic, let's also briefly talk about your privacy stuff, terms of ser- terms of use, which, got a little bit ofDiogo Almeida [00:17:18]: OohSwyx [00:17:18]: Misunderstanding. I just wanna clarify that upfront.Diogo Almeida [00:17:21]: Hell yeah.Swyx [00:17:21]: I think this probably takes two sentences from you about, like, you will not. You're not being that restrictive about your API. Like, clearlyDiogo Almeida [00:17:27]: Oh, yeah. Oh, yeah, so yeahSwyx [00:17:27]: Ideologically, you articulate your role as a platform very seriously.Diogo Almeida [00:17:30]: Yes. Yes. I don't know what you're referring to, but like, this was. I've seen a couple of things about, like, benchmarking.Swyx [00:17:38]: Yes.Diogo Almeida [00:17:38]: Like, obviously we're not stopping people from do. Oh, man, I should be careful about what I say. I'm realizingSwyx [00:17:43]: No, you said, you said it publicly thatDiogo Almeida [00:17:44]: YeahSwyx [00:17:44]: That was in the preview period. You didn't take it out for the launch.Diogo Almeida [00:17:47]: Yeah. Okay.Swyx [00:17:47]: And now you're gonna take it out.Diogo Almeida [00:17:48]: So the team is doing stuff thatSwyx [00:17:49]: YesDiogo Almeida [00:17:49]: I'm not even aware of, so it's great to know the team communicated that. I asked them to check in with the lawyers about that.Swyx [00:17:54]: Yeah.Diogo Almeida [00:17:54]: Like, we are obviously not stopping people from doing that type of thing. I'm extremely in favor. So I'm extremely anti-public benchmarks. I'm extremely in fa- I'm medium about private benchmarks that are proxies. ISwyx [00:18:09]: So are you worried about, saturation or, like, training on public benchmarks? So it's, like, easy to cheat.Diogo Almeida [00:18:15]: Not only is it easy to cheat, there's a lot of ins. So I think that we are. Or anyone who's, like, competition with us that, vaguely there is. Like, you could say, likeSwyx [00:18:28]: There's like 50 Jev clones, yeah.Diogo Almeida [00:18:30]: Well, sure.Swyx [00:18:31]: Yeah.Diogo Almeida [00:18:32]: Well, the, these. Let's say that there is competition.Swyx [00:18:34]: And we'll talk about those. Yeah.Diogo Almeida [00:18:34]: Or let's just say that there's. Let's just assume that there's an industry two years from now of people who are doing similar things to us. The thing that we are selling is intelligence per something, per, like, dollar or per second. The. No one. Like, people obsess about the cost and the speed. I believe that is. It's cool, but like, the thing that matters is the intelligence. Like, the cost and the speed are, like, are bad things. You're paying them for something, and you need the thing back, and the intelligence is what truly matters. The problem with intelligence is that there's a je ne sais quoi to it, right? Like, the good model smell. Like, the thing that happened after we launched of, like, two hours later that actually went way bigger than the video, which was like, “Holy s**t.”Swyx [00:19:16]: This is actually usable.Diogo Almeida [00:19:17]: It. WellSwyx [00:19:17]: Yeah.Diogo Almeida [00:19:17]: It's, like, beyond that.Swyx [00:19:20]: Yeah.Diogo Almeida [00:19:20]: Like, the. Whew, the launch was crazy, and people could really sense how hard we care about that, and that's truly what I think the long term of this is. And I think public benchmarks are antithetical to this. Like, they are a way to get people trust in intelligence because intelligence has a je ne sais quoi, but the public benchmarks are extremely gameable. Even if they try not to, they still will. Like, back in the old days, every lab had a team to collect data that looks like MMLU to make it look better, which is just benchmarking with extra steps.Diogo Almeida [00:19:58]: So I believe that in the long run, it needs to be vibes and trust until you put it into a workflow and evaluate it for that workflow and measure it and have your own sense of, like, how it does on the exact workflow that matters. And our job is to keep moving the nines of reliability. This is like an ever-present part of o- of what we need to be doing as a company, and we need to do everything to have people know that this is something we care so much about. Like, if we wanted to, we could have released Jev, like, a year and a half ago if we wanted it to be dumb.The Bitterest Lesson: Tasks, Data, and North StarsSwyx [00:20:34]: Oh.Diogo Almeida [00:20:34]: It. Like, the. My bitterest lesson, right? Like, architecture and Yeah.Swyx [00:20:40]: I'll bring it upDiogo Almeida [00:20:40]: Hell yeahSwyx [00:20:41]: Since you, since you talked about it, here.Diogo Almeida [00:20:43]: Hell yeah. T- like, Sutton says that algorithms beats compute very roughly. Data matters way more than compute, obviously. And doing the right task, having the North Star is the hardest, most important thing. This has happened, in LLM land twice so far, right? Maybe 2.2 times. There's RLHF, which, like, shifted the task to instruction following. No one realized that was possible. RLVR did, like, a tiny little, like, edit to the, to the direction, and now us, right? RLCD. We have a new task, and the goal is, programs in the loop. And yeah, data matters soSwyx [00:21:28]: RightDiogo Almeida [00:21:28]: Unbelievably much.Swyx [00:21:29]: SoDiogo Almeida [00:21:29]: Like, I can't, I can't emphasize it less.Swyx [00:21:31]: Yeah, you consider yourself a data lab rather than, like, a model lab. Is thatDiogo Almeida [00:21:35]: AbsolutelySwyx [00:21:35]: Something. That's the wording you guys use?Diogo Almeida [00:21:37]: Yeah. We are. We will always, like, care so much about data. To me, model capabilities means data. Data is so unbelievably complicated, and that is what gets nines. Like, you have no idea how much data can shift everything. Data is so important.TypeSafe as a Data Lab and Synthetic Data StrategySwyx [00:21:57]: Yeah.Diogo Almeida [00:21:57]: Holy crap. So if people are looking for a job, we are hiring infinite data people, actually infinite.Swyx [00:22:04]: What is a good data person? Like, clearly somebody who cares about reading through the transcripts of, whatever. You've said, for example, that y- all your data is synthetic.Diogo Almeida [00:22:15]: Yep.Swyx [00:22:15]: But that's only, like, the scratching the surface, right?Diogo Almeida [00:22:18]: Yeah.Swyx [00:22:19]: Like, it's not. Like, synthetic, so what, right? Synthetic, but we have people with a lot of taste and a lot of care looking at, looking at these, articulating what's wrong, going back, regenerating. Is that what a good data person is these days?Diogo Almeida [00:22:31]: Let me try to figure out how to. Like, it's, it's super complicated, and like, I literally onboard the data people with a Talk that I assume is longer than this podcast will end up being. So I will try to say, like, the high level of it. So number one, we don't do the kind of synthetic data that people ki. Well, I'll do. Actually, number is zero. Data and synthetic data depends on your task. Like, the shape of your data. The shape of your task changes the data. Like, RLVR's data is kind of environments, right?Swyx [00:23:03]: Yes.Diogo Almeida [00:23:04]: RLHF's is the human feedback? Each task has its own unique kind of data, and we, of course, have our own unique kind of data, right? So number one, we have that. Number two, the thing I. The reason why we don't want to train on our users' data, even if we could, right? Like, we could probably ask for any terms right now, and it will. We. I don't know if it would make a difference. We truly don't want that, because no matter what, the real-world data has so much bias. There's, like, a power law of, like, people, like, asking the same things where you'll end up, like, overfitting to it and like, fracturing to it and all of that. And number two, we are, like, aiming for, like, a complete sci-fi future years from now where, like, these models are going to be, like, the general infrastructure, layers and layers and layers and deep down the stack to, like, things people can't even imagine. Like, I would like to think of our model, like, kind of like, UDP as LLMs and TCP as our models. All sorts of stuff can be built on top of that, and we need to be able to nail those futuristic use cases such that software developers can actually build that futuristic stuff. And the way to do that is even if we had all of the data of the present, we would just overfit to the present, and then it wouldn't work. What we need is to, like.Diogo Almeida [00:24:21]: It almost feels like a. Like, they're the artists? They study this cognitive core. Our cognitive core is, like, way less jagged than anyone else's. And then they find the jaggednesses, and then they address them surgically in a way that. And you can never perfectly do this, right? But they do it in such a way that it addresses it in every single possible, like, dimension, past, present, future.Swyx [00:24:45]: The general case rather than the specific case.Diogo Almeida [00:24:47]: Exactly. And like, that requires a lot of intelligence every time.RLCD vs. RLHF: Defining a New TaskSwyx [00:24:50]: Okay, so we mentioned a little bit. You sort of criticized my thinking as r-- like, very RLVR influence, which is, like, very fair. Let us actually mention RLCDDiogo Almeida [00:24:59]: OohSwyx [00:24:59]: Which obviously you have some secret sauces to our knowledge. You've never actually published a paper or anything like that on it. No, right?Diogo Almeida [00:25:05]: No, not yet.Swyx [00:25:06]: But like, what should people get from this? Like, what. Can you give people some confidence that you're just not just making up jargon for the sake of sounding cool, right? Like, one thing for me is, like, calibration I do think is a. To me, like, well understood because we've covered it in. On the podcast.Diogo Almeida [00:25:22]: Yeah.Swyx [00:25:22]: But I don't know what you mean when you say RLCD versus what people are familiar with.Diogo Almeida [00:25:26]: It's a great question.Swyx [00:25:27]: Yes.Diogo Almeida [00:25:27]: And actually, I will give a related question.Swyx [00:25:29]: Okay.Diogo Almeida [00:25:29]: What is RLHF?Swyx [00:25:31]: Okay.Diogo Almeida [00:25:31]: Right? And actually, RLHF means multiple different things, right?Swyx [00:25:34]: Okay.Diogo Almeida [00:25:34]: Like, there's the RLHF of the original. I think it was, like, Paul Christiano teaching a robot to backflip or something like that. Wasn't there somethingSwyx [00:25:42]: Was that it?Diogo Almeida [00:25:43]: That was the originalSwyx [00:25:44]: I referenced the PPO paper, but I don't know.Diogo Almeida [00:25:46]: And so PPO was not necessarily from human feedback, if I recall.Swyx [00:25:51]: Okay. That's trueDiogo Almeida [00:25:52]: But I b- I believe it was, like, an OpenAI alignment work that could teach hard to specify outputs, like a backflip. I'm not 100% sure. And then there was actually learning to summarize. This was work, by a bunch of the team that helped with, instruct-- and co-authored, the instruction following paper, which was teaching, doing PPO on language models.Swyx [00:26:15]: This is the, sorry. I'm trying to, tryingDiogo Almeida [00:26:19]: YeahSwyx [00:26:19]: Trying to manipulate this thing. This is 2017.Diogo Almeida [00:26:23]: Yeah.Swyx [00:26:23]: Right.Diogo Almeida [00:26:23]: I'm not 100% sure, but like, that looks quite right.Swyx [00:26:26]: Yeah.Diogo Almeida [00:26:26]: If it has, like, a robot doing backflips or something like that might be it. Yes. Okay, cool. I guess I got it right. Hell yeah.Swyx [00:26:35]: There you go.Diogo Almeida [00:26:36]: Yeah.Swyx [00:26:36]: That's the one.Diogo Almeida [00:26:36]: So the idea was can, like, can you do, like, ill-specified things with it? So that's, like, version one. Version two was, the learning to summarize work, that, like, OpenAI did, which is actually, like, PPO on language models to do something somewhat ill-specified. This is, like, another thing that people refer to as RLHF Which I did not co-author.Diogo Almeida [00:26:57]: Oh, Dario's there. Cool. Hell yeah.Swyx [00:27:01]: And Radford.Diogo Almeida [00:27:02]: Yeah. Shout-outs to Alec and Ryan. Love them.Swyx [00:27:04]: Yeah.Diogo Almeida [00:27:05]: But the thing that I refer to RLHF is the, Oh, man.Diogo Almeida [00:27:13]: I'll get toSwyx [00:27:14]: You have comments on that, yeah.Diogo Almeida [00:27:15]: I have comments on that paper, but like, we're so many, tangents deep.Swyx [00:27:18]: Yeah.Diogo Almeida [00:27:18]: So the thing that really got. To me, the thing that I'm calling to RLHF is the task of instruction following. It's not about the PPO. That part doesn't matter. It's about, like, setting a North Star of this is a valuable direction. It's kind of like the Bitris lesson North Star.Diogo Almeida [00:27:34]: And for us, RLCD is this new task. And it is not. I don't see it as jargon. Like, I try to communicate with precision. It's just that, “Hey, here's another North Star.” Just like DPO and all of its, like, descendants also do RLHF, despite not using the algorithm in that paper.Swyx [00:27:55]: And so clear- clearly stating the North Star is, being program- programmable AI is one, word that I really catch onto, removing the human in the loop,Diogo Almeida [00:28:06]: YesSwyx [00:28:06]: From. Because RLHF is tuningDiogo Almeida [00:28:09]: YesSwyx [00:28:09]: For this so that you can automate everything.Diogo Almeida [00:28:11]: Yes. Everything that makesSwyx [00:28:13]: Did I miss anything else in the, in the thesis of, like, what the North Star is?Diogo Almeida [00:28:17]: There is. That is. That is right. I'm overly nuanced in my communication. The one nuance is that we need to be practical. We need to be aware of what language models can do really well. Like what AI can do.Diogo Almeida [00:28:30]: Right? Like, there could be programmatic types that are, like, sick AF, but if you. If the technology is not ready for it to. It's not a tragedy if that's not out in the world.Why Programmable AI MattersSwyx [00:28:41]: Yeah.Diogo Almeida [00:28:42]: But to me, like, the pre-Jev world was a tragedy becau-- it sounds arrogant. Hear me out.Swyx [00:28:49]: No. I strongly believe you.Diogo Almeida [00:28:50]: Cool. It sounds arrogant, but like, I felt this way since long before I even had a company.Swyx [00:28:54]: Yeah. I can, I can vouch that,Diogo Almeida [00:28:56]: Yes, I've been talking about this for so longSwyx [00:28:57]: You said this at All Around Her for, like, three years.Diogo Almeida [00:28:58]: Yeah, I've been talking about this for so long. And I've been saying it because I thought it would have been easier. They say they do not do things because they. It. They're easy. They. It's ‘cause they thought it was easy, soSwyx [00:29:08]: Yeah, exactlyDiogo Almeida [00:29:09]: Something like that. I thought it. This whole project would take a week.Diogo Almeida [00:29:13]: And I was unbelievably wrong. So I am so sorry to everyone at OpenAI that I thought. I was like, “Man, I'm solving this right now.” but like, I think that the tragic thing is when. Well, I think overpromise, underdeliver is tragic too. And like, AI is super extreme on that axis. And I think RLVR is, like, the main. Well, both RLVR and RLHF are extreme perpetrators of this.Diogo Almeida [00:29:40]: But like, it. To me, it's like it's just there's just so much potential there. Like, AI is clearly so smart. I l- smart. I love this in my talks, when I ask people, like, “How can AI be so unbelievably smart? How can we, like, solve millennium prize problems in math, but still not automate even the most basics of works?” Like, really basic rote stuff that, like, the. It d- it doesn't take, like, extremely smart people to do this. It's not a satisfying job. Like, there's other things these people could be doing, but yet we need them to do, like, this ba- like, super basic- non- unsatisfying stuff because, like, we can't automate it yet, but we have this, like, supercharged engine of automation that just does not have, like, the right plugs and stuff to plug into all of this economically valuable work. And like, if the whole company of TypeSafe disappears, like, maybe it'll take, like, a year or two for people to, like, truly catch up. I actually don't know how long it'll take. If model quality matters, then we are gonna be in a very good position for a long time. But it, like, it's done, right? Like, there, like, this has changed the path of, like, technological history.Swyx [00:30:49]: Yeah.Diogo Almeida [00:30:49]: And like, we will be exploring that space as a field.Swyx [00:30:53]: Yeah. I think, I definitely agree with that. You've created possibilities. So I think, if I can paraphrase so that people can un- also understand, you should not take the success of TypeSafe and Jev as just like, “Well, that is a new model type. Now we're done. We go back to business.” Like, no. Like, actually, there's, there are, like, five other model types that you should be exploring and like, let a thousand flowers bloom.Diogo Almeida [00:31:15]: Absolutely.Swyx [00:31:16]: Right?Diogo Almeida [00:31:16]: Like, early internetSwyx [00:31:17]: And some of that, some of which you will probably also build.Diogo Almeida [00:31:18]: Of course, yes.Swyx [00:31:19]: Yes.Diogo Almeida [00:31:19]: Early internet energy. I think it's back to tech utopia. It's no longer like, “Oh, man, like, sometimes my coding agents work, but the, all of the best ones are hoarded internally.”Swyx [00:31:29]: Yeah.Diogo Almeida [00:31:30]: Right? It's like creation is back on the menu.Diogo Almeida [00:31:34]: ? Though it's gonna be a wild-ass world, and buckle up.Diogo Almeida [00:31:38]: It's. And I'm so jazzed about that.Manifesto, Launch Strategy, and Early Internet EnergySwyx [00:31:42]: Yeah. And now you have the funding and the momentum to do whatever you envision there, which I, which I think is, like, very gratifying to see you have after, so long of saying these thingsDiogo Almeida [00:31:53]: YeahSwyx [00:31:54]: But actually show the world.Diogo Almeida [00:31:55]: I know. I just. Such a, such an interesting thing to be a tease the whole time. Like, my talk, like, felt like it was a cliffhanger ‘cause I didn't say how the automation would occur.Swyx [00:32:05]: Yeah.Diogo Almeida [00:32:06]: Sean reviewed our manifesto And he's like, “It's a little bit vague in these parts.”Diogo Almeida [00:32:12]: And like, “What's step one? What is, what is the intelligence model?”Swyx [00:32:16]: Well, I asked you for model, and you were like, “Yeah, model coming.”Diogo Almeida [00:32:18]: Yeah.Swyx [00:32:18]: And like, Well, I just, I mainly objected to the word composable But build prod.god is fantastic.Diogo Almeida [00:32:24]: Thank you.Swyx [00:32:24]: Yeah.Diogo Almeida [00:32:25]: I. We've really rallied around that. I'd like to think we're not entirely a cult like some companies are.Diogo Almeida [00:32:32]: But like, we are, like, jazzed about what we're doing, and like, we are. Like, my brand is being practical, and like, we are all, like, so super-duper practical.Swyx [00:32:42]: Yeah.Diogo Almeida [00:32:42]: It's really great.Swyx [00:32:43]: Yeah. So here. And by the way, here is the step, the secret master plan, right?Diogo Almeida [00:32:47]: Yep.Swyx [00:32:47]: Shape, the shape of machine-native composable AI.Diogo Almeida [00:32:49]: It was your idea to make a secret master plan, soSwyx [00:32:51]: It's a, it's that Elon thing. When he started TeslaDiogo Almeida [00:32:53]: YeahSwyx [00:32:53]: He was like, “Here's what we'll do.”Diogo Almeida [00:32:54]: But I did. Yeah. I'm giving official credit to you.Swyx [00:32:56]: Oh, thank you. Thank you, thank you.Diogo Almeida [00:32:56]: Yeah.Swyx [00:32:56]: Thank you. But like, you should've told me your, you're also gonna do this model launch, ‘cause you, like, you told me, you told me half of the story, and then the other half, you didn't have the doom demo at the time.Diogo Almeida [00:33:08]: Yep.Swyx [00:33:08]: You didn't have any numbers to give me.Diogo Almeida [00:33:10]: Yep.Swyx [00:33:10]: I was like, “what?”Diogo Almeida [00:33:11]: Well, the problem is I don't believe in benchmarking.Swyx [00:33:13]: Exactly.Diogo Almeida [00:33:14]: Right?Swyx [00:33:14]: Exactly.Diogo Almeida [00:33:14]: So like, it is a thing that you need to feel, and like, I think that this is the way to build long-term trust, even though it, like, hurt, it hurt us a, us a lot? Like last year when we did fundraise, no one believed us.Diogo Almeida [00:33:27]: ? Like, and they wanted just benchmarks and stuff, and we're like, “We're not gonna do that. We are principled. We're gonna stand by our guns. That rewards bad actors. I don't give a s**t, like, what you want. Like, this is who we are, and we are standing by that.” So Sorry. It's notSwyx [00:33:43]: No, yeah. Well, and in some ways, I think, like, choosing the hard path, it. But you end up making the company that you wanna work in.Diogo Almeida [00:33:49]: Yep.Swyx [00:33:50]: Right? Otherwise, if you sell out, then you're just working in, like, OpenAI but with my people, right? Which is like.Diogo Almeida [00:33:56]: Yeah. Yeah. Like, I'm, I don't have too many regrets on that, obviously.Swyx [00:34:01]: Yeah.Diogo Almeida [00:34:01]: Like, it worked out so unbelievably well. And like, I, The. I was emotional last night when I was talking about, like, the reasons I left OpenAI, and because, like, it actually had to change my wording after the launch. My phrasing was, “If an AI winter did happen and I did not do every f*****g possible thing I could to, like, avert that, I would see myself as personally responsible both for, the RLHF direction, which I think really widened overpromise versus under-deliver, and also not going all in on this because I think this is, this is where value is going to just be, like, printed.” So. And it was really cool because I feel likeDiogo Almeida [00:34:47]: The AI winter I'm worrying about is averted. Like, AI will be useful. It'll be used for automation.Diogo Almeida [00:34:53]: It's been less than a week, and like, the numbers are already undeniableSwyx [00:34:57]: YeahDiogo Almeida [00:34:57]: That it's, like, being used for real work, and like, there's. It's, it's the Wild West. Yeah.Launch Traction, Tokens, Rate Limits, and Developer UsageSwyx [00:35:03]: Yeah. Can you sh- just if you have top of your head, what numbers are you seeing? Like, what's, what's, like, signups? Like, whatever you can share.Diogo Almeida [00:35:11]: I'm actually not super on top of everything. Like, the team is the ones who are telling me all of these things.Swyx [00:35:16]: Yeah, and I'm sure it's, like, changing every day, right?Diogo Almeida [00:35:17]: It's, it's,Swyx [00:35:18]: But likeDiogo Almeida [00:35:18]: It's kinda nutsSwyx [00:35:19]: If there's a milestone that you're like, “Well, yep, that's one thing we were hoping for. We reached it.”Diogo Almeida [00:35:23]: I will say a milestone that we've passed is tokens per day.Swyx [00:35:27]: Nice.Diogo Almeida [00:35:27]: And this is not, like, fleeting tokens per day.Swyx [00:35:32]: Yeah.Diogo Almeida [00:35:32]: This is, like, even at night, like, it's constantly training, so machines are calling it and not just people trying things out.Diogo Almeida [00:35:39]: So that is, That is so cool. A trillion tokens a day is a lot.Swyx [00:35:45]: Yeah.Diogo Almeida [00:35:45]: So surpassing that is awesome. Signups to me don't really matter. And actually, this was, like, a bit of a mistake we made, if I'm, like, totally honest. People on Twitter were calling us, like, marketing geniuses and all of that, and that was just us. We don't have a marketer. Also hiring. And we were just being our genuine, goofy, like, irreverent selves, and we were, we were just, like, offboarding people off the waitlist so hard. - Our platform team is so unbelievably cracked. I think we have more n- up nines of uptime than Anthropic while having the most Unprecedented launch ever. Like, that is kind of nuts, soSwyx [00:36:21]: YeahDiogo Almeida [00:36:21]: Like, props to them.Swyx [00:36:22]: Yeah.Diogo Almeida [00:36:23]: And the thing we didn't realize. So number one, waitlists, waitlist sign-ups don't matter for, like, a developer platform, in my opinion? I would guess that a large number of them are not even developers. So they go in, they try some queries, and a lot of people don't get it because they are not programming, right? Like, they're just like, “What? This is not a chatbot. Where's my ChatGPT 2?”Diogo Almeida [00:36:45]: Right? But if, like. I haven't exactly calculated this. My sense is that if every single human being in the world, like, just wrote a couple of queries, that would be a rounding error compared to, like, one power user's for loop that is just, like, creating value.Swyx [00:37:01]: Yeah.Diogo Almeida [00:37:01]: And the thing we are-- didn't realize with the waitlist is, like, we could just w- off-board anyone off the waitlist. It doesn't matter. The scary part is rate limits. And then once people start getting value from that, then they just want tons and tons of rate limits because this is what software is, right? Like, you spend effort upfront to specify your rote task, and then this rote task creates more value than it takes to put in. And then now that you have thatSwyx [00:37:25]: Set it and forget, yeah.Diogo Almeida [00:37:26]: Exactly, yeah. You run it in the background. You make it a dependency, to, like, other things. You can make, like, higher level stuff. And like, you just create so much value in the world. Early internet people probably did not imagine, like, the wonder of early 2000s internet, which is still not early internet. But like, it's, it's through, no offense, composabilitySwyx [00:37:47]: NoDiogo Almeida [00:37:47]: That all of the crazy stuff happens, and I just really wanted to emphasize that in our manifesto. We are going for emergence. We are going for, like, being the catalyst. We're wanting to empower people, and we are going to do whatever we can for that, be it, like, Discords in our town hall with me wearing a garbage bag or not.Swyx [00:38:05]: And podcasts and Diogo Almeida [00:38:08]: Hell yeahSwyx [00:38:09]: Getting all that.Diogo Almeida [00:38:09]: Absolutely.Swyx [00:38:09]: Like, ‘cause I want the long form, right?Diogo Almeida [00:38:11]: Yeah.Swyx [00:38:12]: It is like, yes, we'll get past the, some of the superficial things, and then we'll go deep andDiogo Almeida [00:38:15]: Hell yeahSwyx [00:38:15]: And people will really trust and understand your mission and like, the people that, will resonate that will end up joining you or, buying you. Or No, but sorry, as a, as a customer.Diogo Almeida [00:38:27]: Oh, as a customer.Swyx [00:38:28]: As a customer, as a customer.Diogo Almeida [00:38:28]: Okay, yeah. That was funny. I'm sorry.Swyx [00:38:30]: Sorry. I didn't, I didn't mean to say that. But no, any-- one version, one very flattering version of this, like, 36 million views of your launch video.Diogo Almeida [00:38:37]: Cool. Up to 38 now.Swyx [00:38:39]: Yeah, rounding error.Diogo Almeida [00:38:40]: Yeah.Swyx [00:38:40]: Navio still has got 74. Fable 5 got 57. So like, as far as, a- and I didn't, I didn't do the stats for, like, original ChatGPT, likeDiogo Almeida [00:38:48]: YepSwyx [00:38:49]: Which there was no video.Diogo Almeida [00:38:50]: Yep.Swyx [00:38:50]: So like, up there, right?Diogo Almeida [00:38:52]: Yep.Swyx [00:38:52]: Like, as far, as far as, like, if you were to launch a Neolab in 2026, I think you're, like, number one right now, which is, like, pretty crazy.Diogo Almeida [00:38:58]: Yeah. Well, I actually would rather. I do have the shirt, like, your favorites Neola-- favorite Neolab's favorite Neolab.Swyx [00:39:05]: Huh.Diogo Almeida [00:39:05]: I don't give a s**t about being a Neolab. I think being a Neolab. Actually, we have a lot of, like, swag that's being a parody of a Neolab. One of them, one of them I have is, like, Neolab with product, which actually is not a Neolab. Like, I don't care about that, really.Swyx [00:39:20]: Yeah.Diogo Almeida [00:39:20]: What I care about is being a reliable dev platform. So Swyx [00:39:23]: YesDiogo Almeida [00:39:24]: Appreciate the comparison, but likeSwyx [00:39:25]: YeahDiogo Almeida [00:39:25]: Hopefully we transcend past them and we go back into, like, a thing-- like, a revolutionary moment for developers and like, this stable thing that people can rely on and trust.Reliability, Robustness, and DeterminismSwyx [00:39:35]: Yes. To that end, I think that's one thing that really impressed me about you guys is that, yes, you do talk about reliability. I thought it was mostly about calibration, which, like, we talk about RLCD. But actually it's also about just, like, uptime and scalability and all those things, right? They're, they're all sort of the kind.Diogo Almeida [00:39:55]: And nines.Swyx [00:39:56]: And nines.Diogo Almeida [00:39:56]: It's, likeSwyx [00:39:57]: Which uptime is, in my opinion.Diogo Almeida [00:39:58]: Oh, but that's part of it. But like, there's reliability in, like, how intelligent the thing is. Like, how consistently does it do the thing that you want? And I think that, like, the big reasoning models are very smart. In my opinion, they still lack reliability. I think there's many use cases where you-- they look like they should be smart enough to automate their work. There is economic incentive to automate that work, yet still they're not reliable enough as, at an intern because they're optimized for different things. And so like, I think that there's the reliability of being able to, like, trust the outputs. And also we are. Like, there are dimensions of reliability that we are not yet at that I'm, like, so excited by.Swyx [00:40:38]: Yeah.Diogo Almeida [00:40:38]: Like, I want to automate the easy work before the hard work? Like, I think that's just a common sense thing to do. But to me, we will be sufficient. I don't know if there's such thing as sufficiently reliable, but I wanna get so good that people don't even need to try the model to know that it'll work. It's like, that's like what flow state is in programming, right? Like, I'm just, like, writing queries because I need intelligence in here. And like, when. For non-trivial branching, I can just write it in like a, like a type-safe System 1 query and then get the results out of it and it just branches accurately. Like, that would be so good. Like, that's the. That is the dream.Swyx [00:41:12]: Yeah.Diogo Almeida [00:41:12]: And that is, like, going to be, like, a long slog.Swyx [00:41:16]: Yeah. We're gonna go into your API design in a little bitDiogo Almeida [00:41:19]: OohSwyx [00:41:19]: Just to give people examples and like, maybe paths not taken, that kind of stuff.Swyx [00:41:23]: One thing up the front that I do wonder about in terms of reliability is I noticed that there's no seed. There's no, And so basically, same input, do I always get the same output?Diogo Almeida [00:41:34]: SoSwyx [00:41:36]: And if not, why not?Diogo Almeida [00:41:37]: Oh, great question. So this is actually, like, a common question we have between. So reliability is actually a catchall. Like, whenever AI can't automate something, it's due to some form of reliability. Could be, like, type safety. It could be determinism. It just could be, like, it's, it's jagged, right? So reliability is a catchall. I just think that it's also a catchall for, like, what the North Star is. Re- determinism is, like, same inputs, same outputs. I do believe that this is, like, slightly interesting for unit tests, but I believe that to be the wrong North Star. I believe robustness is what peopleDiogo Almeida [00:42:16]: I don't wanna tell people what they really want, ‘cause that would be a little arrogant of me.Diogo Almeida [00:42:19]: I believe that is, like, the more important property. You want, given similar inputs, get similar outputs. And it's kind of wild how unreliable LLMs are.Diogo Almeida [00:42:31]: Like, a way that we test this is you put, like, UUIDs in, like littleSwyx [00:42:36]: YeahDiogo Almeida [00:42:36]: I think they're called nonces In the prompt. And what you want is similar outputs from all of those, ‘cause it's truly semantically the same question, and that is the part where you really want. Th- like, that robustness is where, like, people get, like, burnt with AI making decisions. So I think that is the. A super-duper important property. We could also have determinism. That is, that is a thing that can be available. As far as I can, like, mentally model for programmers, like, it, I- it could be valuable for some use cases, so like, please educate me, in comments or view. But my. In general, it's easy. Determinism is something you can, like, trade off for better cost. Like, we are, we are constantly wanting to be on the intelligence per dollar frontier. We are doing, like, absolutely disgusting things to be there. Like, this is,Diogo Almeida [00:43:32]: I shouldn't say this, but no one's here to stop me.Swyx [00:43:37]: If you s- you sign off on your own PR.Diogo Almeida [00:43:40]: That is not how it works at this company. I believe for this week, my chief of staff, Kay, is the most powerful person in tech.Swyx [00:43:49]: Yeah. And shout-out to Kay for organizing this.Diogo Almeida [00:43:50]: Holy shSwyx [00:43:51]: Yeah.Diogo Almeida [00:43:51]: Holy s**t. She is so f*****g competent and powerful. She's incredible.Diogo Almeida [00:43:58]: She sucks. Don't poach her. But so I try to be a bit more filtered, but like, people are telling me, “Don't call it a Frankenstein's monster of models,” but because that has, like, negative implications. I think Frankenstein's monster was, like, the good guy in this whole. It was innocent, right? I didn't read it. Okay.Diogo Almeida [00:44:18]: I'll, I'll confess. Okay. That. Well, one facial expression, ISwyx [00:44:21]: This is aDiogo Almeida [00:44:21]: My cards on the tableSwyx [00:44:21]: Decent Jacob Elordi movie if you wanna seeDiogo Almeida [00:44:24]: ISwyx [00:44:25]: The adaptation. Anyway.Diogo Almeida [00:44:26]: The. You have no idea how little time I have right now.Swyx [00:44:28]: Yeah.Diogo Almeida [00:44:29]: My priorities are sleep?Swyx [00:44:31]: Developers.Diogo Almeida [00:44:32]: Developers, yes. Developers. But yes. It. We do, like, absolutely disgusting things to be on the Pareto curve of intelligence per dollar, and we are going to keep doing that.Swyx [00:44:47]: Yeah.Diogo Almeida [00:44:47]: We're gonna be doing crazy-ass stuff, and I think people really need to think outside of the box. Like, part of the reason we're surprising is, like, people Are thought inside the box, and we continue to do that. As of right now, we are obviously the best at this, and we want to continue being the best at that whole thing.Swyx [00:45:05]: Yeah.Diogo Almeida [00:45:05]: So Wait, where did, where did we tangent from?Swyx [00:45:07]: No. SoDiogo Almeida [00:45:08]: YeahSwyx [00:45:08]: I asked you about, will you have seeds and determinism?Diogo Almeida [00:45:11]: Oh, yes. SoSwyx [00:45:11]: And then you basically defined reliability and likeDiogo Almeida [00:45:14]: And robustnessSwyx [00:45:15]: How you see it. Yes.Diogo Almeida [00:45:16]: But like, determina- likeSwyx [00:45:17]: I have a robustness example that's, that's, real quick I can show you.Diogo Almeida [00:45:19]: I would love that. I will just say one thing.Swyx [00:45:21]: Yeah.Diogo Almeida [00:45:21]: We can make a deterministic model.Swyx [00:45:22]: Exactly.Diogo Almeida [00:45:23]: Like, we're hap- if people can convince us that is a valuable thing to doSwyx [00:45:27]: YeahDiogo Almeida [00:45:27]: And we don't have a gigantic GPU shortageSwyx [00:45:29]: YeahDiogo Almeida [00:45:29]: We can happily make all of these models. We live to please. And rev- and revolt, revolute,Swyx [00:45:38]: You will throw over everything, except you'll do it in a nice way.Diogo Almeida [00:45:41]: Yeah.Swyx [00:45:41]: And findDiogo Almeida [00:45:42]: So like, determinism could be on the cards.Swyx [00:45:44]: Yeah.Diogo Almeida [00:45:45]: It just gets you less intelligence per dollar.Swyx [00:45:46]: Yeah. Well, just having seen the trajectory of OpenAI and Anthropic, you will. Just trust me now that you will be peer pressured into doing it. So like, just people will want it even if they. If you tell them they don't need it. They'll still want it. So like, yeah, that's the TL;DR of that.Diogo Almeida [00:46:01]: Okay.Swyx [00:46:02]: Yeah.Diogo Almeida [00:46:02]: I will love to. Maybe one day we will see how that happens.Swyx [00:46:07]: Yeah.Diogo Almeida [00:46:07]: I've been told I'm, They say that part of our brand is being unshakeableSwyx [00:46:13]: HuhDiogo Almeida [00:46:13]: And they say that's just the nice way of saying stubborn.Swyx [00:46:15]:

The team debates the reality of “clopening,” settles an important question about whether a piece of naan or a baguette can be thrown farther, and revisits the fallout from a viral prank video. There's also a discussion about Drake's latest FOMO event, listener stories involving the Merlin bird-identification app, a family sharing how advice from the show helped with their child's sleep struggles, plus interviews with Scott McGillivray on the return of Income Property and Saul Hafting, who earned a Guinness World Record by solving Rubik's Cubes while bouncing on a pogo stick Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Send us Fan MailThe crew kicks things off with an interesting conversation about sending your child away to live with their grandparents. Is it ever the right move, and what circumstances would make you consider it?Then it's time to recap Keyy G's birthday brunch! The cast talks about the celebration, the good vibes, and just how much fun they had bringing in another year with Keyy G.From there, they get into Drake's FOMO livestream, the latest rumors surrounding Remy Ma and her alleged new love interest, and their thoughts heading into the upcoming season finale of Lioness.Plus, Tory Lanez announces a tour, the crew talks about Mojo Brooks' Netflix show, weighs in on the latest Converse controversy, and because this is The Media Slayers, somehow finds plenty more to argue and laugh about along the way.Hosted by Keyy G, CC Da Voice, Mr Unlimited PTO Aly & Marc GTap play and catch another unfiltered episode of The Media Slayers Podcast!Support the showhttps://www.instagram.com/themediaslayers?igsh=Z2Z0NWR5Zm50Z3Zn&utm_source=qr

We went to the bullpen and called in a Hall of Fame closer to the weekend pod palooza! Hollering James from Minneapolis joins Ben for a rambunctious edition of the Fifth Hour Mailbag. Legendary for his thunderous snoring and undying love of the Ben Maller Show, James is one of the great larger-than-life cartoon characters of the Maller Militia.The boys rip open the mailbag and tackle listener questions from around the globe, traveling down a winding road of looksmaxxing, Colombian Bam Bam, toddler fight club, J-Lo lookalikes, Navy SEAL training, robotoilets, hurricane records, bad hygiene, and plenty more.It’s chaos, comedy, and questionable life advice—exactly what you signed up for. Buckle up and enjoy the ride. You better listen, or the FOMO will kick in, and you’ll need an industrial-sized shipment of copium. All questions sent in by new listeners & P1's of the #MallerMilitia! Download, subscribe, and remember that sharing is caring (unless it's an STD.) Follow Ben on Twitter @BenMaller and listen to the original terrestrial radio edition of "Ben Maller Show," Monday-Friday on Fox Sports Radio, 2a-6a ET, 11p-3a PT!...Follow, rate & review "The Fifth Hour!" #BenMaller #FSRWeekendsSee omnystudio.com/listener for privacy information.

We went to the bullpen and called in a Hall of Fame closer to the weekend pod palooza! Hollering James from Minneapolis joins Ben for a rambunctious edition of the Fifth Hour Mailbag. Legendary for his thunderous snoring and undying love of the Ben Maller Show, James is one of the great larger-than-life cartoon characters of the Maller Militia.The boys rip open the mailbag and tackle listener questions from around the globe, traveling down a winding road of looksmaxxing, Colombian Bam Bam, toddler fight club, J-Lo lookalikes, Navy SEAL training, robotoilets, hurricane records, bad hygiene, and plenty more.It’s chaos, comedy, and questionable life advice—exactly what you signed up for. Buckle up and enjoy the ride. You better listen, or the FOMO will kick in, and you’ll need an industrial-sized shipment of copium. All questions sent in by new listeners & P1's of the #MallerMilitia! Download, subscribe, and remember that sharing is caring (unless it's an STD.) Follow Ben on Twitter @BenMaller and listen to the original terrestrial radio edition of "Ben Maller Show," Monday-Friday on Fox Sports Radio, 2a-6a ET, 11p-3a PT!...Follow, rate & review "The Fifth Hour!" #BenMaller #FSRWeekendsSee omnystudio.com/listener for privacy information.

Linktree: ⁠⁠https://linktr.ee/Analytic⁠⁠Join The Normandy For Ad-Free NME, Additional Bonus Audio And Visual Content For All Things Nme+! Join Here:⁠⁠ ⁠⁠https://ow.ly/msoH50WCu0K⁠⁠In this segment of Notorious Mass Effect, Analytic Dreamz reviews Drake's September 2026 FOMO film and its place in a record-setting year. After ICEMAN, HABIBTI and MAID OF HONOUR occupied Billboard 200 Nos. 1–3 with 687,000 combined first-week units and ICEMAN passed 2 billion Spotify streams, Drake premiered the self-funded hour-long project with nine unreleased tracks, Don Toliver, PartyNextDoor and Yeat features, a Choosin' Texas interpolation, celebrity cameos and career nostalgia. Analytic Dreamz examines first-week streaming data, why the new songs had no official chart positions by mid-September, luxury product placement and the confirmed 2027 world tour as the next monetization window. Analytic Dreamz maps FOMO as a multimedia extension of Drake's 2026 catalog rather than a conventional album.Support this podcast at — https://redcircle.com/analytic-dreamz-notorious-mass-effect/exclusive-contentPrivacy & Opt-Out: https://redcircle.com/privacy

Happy Friday! Rory gets FOMO after missing part of Drake’s “FOMO” stream, where he debuted videos and some new music. The guys react to the surprise features, including Don Toliver and Yeat, as well as the remix of Ella Langley’s “Choosin’ Texas”. Baby D returns with her takes on Jhene Aiko’s “Westside Whimsy” album. We do some lyric breakdowns, and try to uncover who she is talking about throughout the album, specifically on “Ghost”, “He Belongs”, and “Ceiling Freestyle”. Remy Ma previews new music, potentially dissing Papoose after his hit song “Jezebel”, Tyler Perry takes a walk down the Spirit Tunnel at “The Jennifer Hudson Show”, and Kid Cudi and Ebro go at it over journalistic integrity. Visit your nearest Boost Mobile store or https://www.boostmobile.com/promo/25-foreverSee omnystudio.com/listener for privacy information.