Podcasts about improving

In this episode of the Travis Makes Money Podcast, Travis and producer Eric jump from true crime and bizarre prison stories to the increasingly popular world of “looksmaxxing.” They break down a $5,000, seven-day “Camp LooksMax” program offering mentorship, grooming advice, social and dating coaching, and confidence-building exercises. Along the way, they debate whether appearance can really transform a person's dating life, question the value of paying thousands of dollars for this kind of program, and argue that confidence, social skills, and personality matter far more than obsessing over facial features and bone structure. On this episode we talk about: The $5,000 “Camp Looks Max” program and what participants actually receive The growing online trend of “looksmaxxing” and its focus on appearance, grooming, and facial features Whether spending thousands of dollars on self-improvement programs can actually create meaningful transformation Why confidence, social skills, personality, and status can matter more than physical appearance The dangers of becoming overly obsessed with appearance and trying to optimize every aspect of how you look Top 3 Takeaways Confidence and social skills can matter more than appearance. Travis and Eric question the idea that endlessly optimizing facial features is the key to better relationships or dating outcomes. Be skeptical of expensive self-improvement programs. Before spending thousands of dollars, understand exactly what you're buying, what outcomes are realistic, and whether the program is actually addressing the problem you want to solve. Don't let self-improvement become self-obsession. Improving your grooming, style, health, and confidence can be useful, but constantly analyzing your bone structure and physical flaws can become counterproductive. Notable Quotes "If you're a dude, it just doesn't matter. Girls will like you for your confidence and so many other things." "Seem like a self obsessed weirdo is not the answer." "You don't need to looking at men's bone structure and going, like, you could be better, bro." Connect with Travis Chappell: Instagram: @travischappell  Other: travischappell.com A Word from Our Sponsors: - The most successful business owners don't do it all themselves — they delegate. Upwork lets you build a team of highly skilled specialists for every function your business needs, so you can focus on what you do best and let experts handle the rest. Visit Upwork.com right now and post your job for free! - Scribe captures workflows as work happens and automatically generates step-by-step guides with screenshots and instructions, so no one has to sit down and write documentation from scratch. Learn more at scribe.how/tmm and mention Travis Makes Money for your first month of Scribe Capture free on select plans. - When you need a legal hand, visit LegalZoom. Go to LegalZoom.com to get started! Learn more about your ad choices. Visit megaphone.fm/adchoices

Josh McDaniels joins Jones and Keefe to discuss the preparation for the Patriots matchup with the Bills. Does anything about the Bill change their approach, how is Drake Maye's confidence right now, and what it the mindset right now in order for this team to improve?

High-quality care only improves outcomes when patients can access it, navigate it, and complete the next step in their care journey. In this episode, I speak with Todd Gottula, Co-Founder and CEO of Clarify Health Solutions, about his personal experience navigating a serious back injury and how it reinforced the importance of timely access to care. Todd shares how Clarify Health uses nationwide claims data, AI-enabled insights, and outcome-based partnerships to help health systems identify where patients are leaving their networks or facing barriers to care. He also discusses Clarify Meridian, which supports physician activation, and Arrival, a patient activation solution designed to help more patients complete specialty referrals and receive the care they need. Tune in to learn how better data, patient engagement, and aligned incentives can help health systems improve access and outcomes! Resources: Connect with and follow Todd Gottula on LinkedIn. Follow Clarify Health Solutions on LinkedIn and explore their website.

Despite women making up half the population, women's health has remained an enigma.This is especially evident in the case of maternal mental health, which has been brought to the limelight with the Lindsey Clancy trial.There's a stigma surrounding postpartum depression, anxiety and psychosis. The stigma is worsened by the lack of awareness around the topic.What can be done to improve the treatment of post-partum mental health disorders?Join us for a discussion about mental health with women's health experts on this hour of All Sides.Guests:Tonya Fulwider, executive director, Mental Health America of OhioNicole Hollingshead, clinical psychologist in women's behavioral health, Ohio State Wexner Medical CenterDr. Casia Horseman, psychiatrist, Ohio State Wexner Medical Center photo: Greg Derr / Pool The Patriot Ledger via AP

Villa Müller reopens to visitors, exhibition showcasing work of artist Kamil Lhoták opens in Prague and Czechs have developed a way to help cereal crops make better use of water and nutrients 

In This Episode AI can produce impressive results, but responsibility for those results still belongs to people. In this episode, Adi Klevit interviews Ovetta Sampson about responsible AI implementation and the increasingly important role of human judgment. Ovetta explains the distinction between traditional machine learning and generative AI. With generative AI, determining whether an output is appropriate or useful often requires subjective human judgment, making it critical for businesses to establish clear standards around how these tools are used. Ovetta and Adi also discuss some of the risks that come with widespread AI adoption, including copyright concerns, privacy, unreliable information, and the possibility of inaccurate information being repeated until it is perceived as true. Generative AI can produce an answer that sounds authoritative without actually determining whether that answer is accurate. That makes human review, verification, and critical thinking essential parts of any process that incorporates AI. The conversation then turns to how businesses can use AI more effectively. Ovetta emphasizes a deceptively simple principle: remember that you're working with a machine. Once businesses understand how the technology processes information, they can create better systems for interacting with it by providing clear context, objectives, scope, guardrails, and examples. Rather than allowing everyone to experiment independently, companies can create repeatable processes for using AI while keeping people accountable for the final result.  

#1102 What if you could turn a simple product idea into $100,000 without ever manufacturing or selling it yourself? In Part 1 of this two-part episode, Brien Gearin sits down with Stephen Key, co-founder of InventRight, to explore how everyday inventors can turn their ideas into income through product licensing. Stephen shares how a simple Michael Jordan basketball toy earned him $100,000 in royalties in its first year and explains how you can get companies to manufacture, market, and sell your products while you collect royalties! Discover how to identify potential licensing partners, pitch your ideas with a one-page sell sheet, protect your inventions, and find profitable opportunities by improving products that already exist. Plus, Stephen reveals why testing your ideas before investing time and money could be the key to turning your next big idea into a successful product! What we discuss with Stephen: + Turning product ideas into royalties + Stephen's $100,000 basketball toy + Finding the right licensing partners + Pitching ideas to companies + Creating a one-page sell sheet + Protecting your ideas with patents + Choosing profitable product niches + Improving existing products + Testing ideas before investing + Getting products onto store shelves Thank you, Stephen! Check out Part 2 of this episode. Check out InventRight at InventRight.com. Purchase a copy of One Simple Idea. Follow Stephen on YouTube. Watch the ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠video podcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ of this episode! Get your FREE 5 Minute Business Plan at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠MillionaireUniversity.com/Plan⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ To get exclusive offers mentioned in this episode and to support the show, visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠MillionaireUniversity.com/Sponsors⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Learn more about your ad choices. Visit megaphone.fm/adchoices

Joining us on this episode of Living Off Rentals is Maria Laoang, our Airbnb Manager who's been overseeing the day-to-day operations for my short-term rental business, Dune Dwellings, for the past two years. Maria is a virtual assistant (VA) from the Philippines who manages our team of 3 full-time customer service team members. Together, they run the day-to-day operations of our Airbnb business.  Listen as she shares how her background in customer service led her to Airbnb management, her responsibilities, and what it means to hire for ownership rather than tasks. She also gets into what onboarding and training VAs look like in practice, how something as simple as a daily Slack recap can keep a whole team on the same page, and just how many moving pieces a short-term rental operation actually juggles, from guest services and cleaning to maintenance, vendors, systems, processes, and more. If you're looking to scale up your Airbnb operations with a virtual team, this one's for you! Enjoy the show! Key Takeaways: [00:00] Introducing Maria Laoang and her role as virtual rental manager [04:21] Maria's background in customer service and training [07:30] Responsibilities as a virtual short-term rental manager [08:18] Improving systems, SOPs and processes [10:28] The difference between a team member and a manager [13:28] How Maria found the job opportunity [15:15] Why clearly defining the role matters when hiring [19:17] The right time to hire a virtual team member [21:19] Language and communication in the Philippines [26:41] Building the onboarding and training process [31:37] Using Slack as the day-to-day communication hub [34:16] Advice for rental property owners thinking about hiring virtually [35:25] Being ready to delegate and build systems [37:54] Rewarding your team as owners [39:52] Outro Show Links: Living Off Rentals YouTube Channel – youtube.com/c/LivingOffRentals  Living Off Rentals YouTube Podcast Channel - youtube.com/c/LivingOffRentalsPodcast  Living Off Rentals Facebook Group – facebook.com/groups/livingoffrentals  Living Off Rentals Website – https://www.livingoffrentals.com/  Living Off Rentals Instagram – instagram.com/livingoffrentals  Living Off Rentals TikTok – tiktok.com/@livingoffrentals  Want to start investing in short-term rentals? Book a call to see if my STR Blueprint program is a good fit for you: livingoffrentals.com/call   

Send us Fan MailRevenue may look strong on paper—but if the cash isn't there when you need it, your business can still be in trouble.In this episode of Scaling with People, host Gwenevere Crary sits down with Elaine Bogart, fractional CFO and financial leadership advisor, to demystify the numbers founders need to understand before scaling.Together, they explore why revenue, profit, and cash are not the same thing and how a gap between making a sale and receiving payment can put pressure on payroll, operations, and business runway.Elaine also explains how founders can use forecasting, AI, and the right financial leadership to make better decisions, avoid expensive surprises, and build a stronger financial foundation for growth.In this episode, you'll learn:Why revenue does not always translate into available cashHow payment delays can create dangerous cash-flow gapsWhy founders should model when money comes in—not just when sales are madeHow to build and maintain a practical 13-week cash forecastWhy short-term forecasts should be more detailed than longer-term projectionsThe key financial numbers founders should understand, including revenue, payroll, operating expenses, margins, and profitabilityHow AI can support forecasting and why human review is still essentialWhy founders should compare forecasts against actual results and investigate major variancesThe difference between cash-basis accounting and accrual accounting under GAAPWhy businesses should consider their long-term goals when choosing an accounting methodHow to determine whether your company needs a fractional, project-based, or full-time CFOThe difference between an advisory fractional CFO and a more embedded financial leaderHow to choose a CFO based on your company's current needs and stage of growthWhy putting numbers behind your intuition can lead to better business decisionsKey takeawayA strong sale is not the same as strong cash flow.Founders need visibility into when cash will arrive, when expenses must be paid, and how much runway remains. A regularly updated cash forecast—combined with sound financial leadership—can help business owners make smarter decisions before a cash shortage becomes an emergency.About Elaine BogartElaine Bogart is a fractional CFO who works with founders, CEOs, and leadership teams across digital media, technology, creative agencies, professional services, and other industries. She helps businesses strengthen their financial systems, improve forecasting, prepare for growth, and make informed strategic decisions.Chapters00:00 — Welcome to Scaling with People01:32 — Meet Elaine Bogart02:28 — Turning finance into a strategic partner04:13 — When spreadsheets and intuition stop working06:03 — The cash gap between sales and payment07:10 — Improving payment terms and cash flow08:53 — How far ahead should founders forecast?10:00 — Building a 13-week cash forecast10:48 — The financial numbers founders should know12:32 — AI forecasting and the need for human oversight15:15 — AI workflows for forecasting and planning17:45 — Using assumptions and asking better questions18:28 — Comparing forecasts with actual results19:22 — How forecasting can change business decisions21:10 — Cash accounting versus GAAP accounting24:22 — When should a company use GAAP?25:44 — Choosing the right CFO for your stage30:10 — Advisory versus embedded fractional CFO support31:09 — The financial habit every founder should build32:42 — Closing thoughtsConnect with Scaling with PeopleIf this conversation helped you think differently about your company's financial health, share it with another founder or business leader who needs better visibility into their numbers.Scaling isn't just about speed. It's about people.Support the show

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

Discover how Alluvita is transforming women's health through integrated wellness, community support, and accessible medical care.What does it take to build a women's health solution that actually listens, includes, and empowers? In this episode, Jessica Gesue MBA, NBC-HWC, founder of Alluvita, joins me as she reveals the journey from her garage fitness sessions to creating a first-of-its-kind social wellness club and integrated clinic for women.Get inspired by stories of perseverance, real-world business pivots, and the fundamental shift toward community-first women's health.Whether you're an aspiring entrepreneur, a wellness professional, or simply passionate about women's empowerment, this conversation shines a light on what's possible when you put women's needs at the center.What You'll Learn:How Alluvita bridges small group strength training, medical care, and authentic community for women's total wellness 03:11Why most gyms still cater to men, and what happens when women's needs shape the model 13:05The challenges and mindset needed to “keep going” through obstacles as a founder and entrepreneur 20:13Why being heard, acknowledged, and advocated for is core to women's health care needs 43:05How lifestyle, sleep, and community influence women's health—and what practical support looks like at every stage 54:075 Frequently Asked Questions about AlluvitaWhat is Alluvita and what makes it different from traditional women's gyms? Alluvita is a social wellness club and integrated clinic for women, offering small group strength training, wellness coaching, and collaborative medical services—all designed around community and the unique needs of women 03:11.Why is community important in women's health and fitness? Community creates belonging, support, and accountability, making it easier for women to stick with wellness routines, find social and emotional support, and feel understood 08:14.How does Alluvita approach the medical side of women's health? Alluvita collaborates with physicians, therapists, and nutritionists to provide integrated yet flexible medical and wellness care without replacing primary care—focusing on listening, advocacy, and real solutions for women's needs 35:01.What challenges did Jessica Gesue MBA, NBC-HWC face when founding Alluvita? She overcame business pivots, property challenges, self-doubt, and setbacks—relying on perseverance and learning to adjust expectations throughout the entrepreneurial process 20:13.Why is sleep so emphasized in Alluvita's wellness approach? Sleep impacts decision-making, hunger hormones, stress levels, and overall quality of life. Improving sleep is often the foundational step before nutrition and fitness for sustainable women's health 57:03.In each episode, Jeff and Eric will talk about what emotional intelligence, or understanding your emotions, can do for you in your daily and work life. For more information, contact Eric or Jeff at info@spiritofeq.com or visit their website, Spirit of EQ.You can follow The Spirit of EQ Podcast on Apple Podcasts, Android, or on your favorite podcast player.New episodes are available on the 1st and 3rd Wednesdays every month!Please review our podcast Music from Uppbeathttps://uppbeat.io/t/roo-walker/deeperLicense code: PEYKDJHQNGSZXDUEhttps://creativecommons.org/licenses/by-nd/4.0/We hope you enjoy the podcast. Hopefully, you're tuning in on a regular basis. We'd love it if you would give us a great review on whatever platform you're listening to the podcast. It's so appreciative and helps us as we try to get more exposure for the work we do and the episodes that we publish. We're grateful to you as a listener. Secondly, our content is for educational purposes only. It's not intended by any stretch to diagnose or treat anything that may be occurring in your life or anyone else's life that you may be connected to through the podcast. And as always, we look forward to the next time that we're together. Take care.Spirit of EQMentioned in this episode:Thanks for listening to Spirit of EQThis podcast was created to be a tool to primarily help you to discover and grow your EQ. Science and our own lived experiences confirm that the better we are at managing our emotions, the better we're going to be at making decisions. Which leads to a better life. And that's something we all want. We're glad that you've taken the time today to listen. We hope that something you hear will lead to a breakthrough. We'd really appreciate a review on your podcast platform. Please leave some comments about what you heard today, as well as follow and subscribe to the podcast. That way, you won't miss a single episode as we continue this journey.

Shit girl summer isn't over just yet! Join the ladies for a final hurrah before fall. Rest in peace to sweet podcat Diablo. We will miss that silly shoe loving boy ❤️ Write us some of your cringe stories at nervouslaughterpodcast@gmail.comThe socials: Instagram | Facebook | Twitter

Kristie Jones, sales leader and author of Selling Your Way In, joins me to explore the recent changes in sales leadership methodology. With over 20 years of experience transforming B2B SaaS startups, Kristie shares her perspective on the distinctions between leadership and management, the strategic role of AI in coaching, and the leadership skills modern organizations must develop to thrive. We discuss practical strategies for building high-performance sales teams, and Kristie gives her actionable advice for hiring, coaching, and leading sales teams effectively.    Outline of This Episode [00:00] Leadership as strategic, involving coaching and mentoring [05:29] Setting clear expectations with candidates [08:17] Pre-call coaching in the AI era [12:45] How AI is changing sales metrics and activity tracking [15:20] Modern leadership do's and don'ts [18:38] Improving sales team mindset   Transparency and Trust from Day One Building a high-performance sales team starts at hiring—with radical honesty. Instead of sugarcoating the role, she advocates for clear communication about expectations, quotas, and support structures from the outset. As Kristie says, "Interviewing is a two-way street ... I want to make my candidates what I call an educated consumer. I want them to understand what they're getting into." She also stresses the necessity of an 'expectation conversation'—both a verbal and written agreement outlining how communication will flow, what hours are expected, how interdepartmental collaboration is handled, and other foundational norms. This clarity allows accountability to flourish and builds trust, as you can't hold someone accountable if they don't understand what's expected of them.   Rethinking Coaching: From Postmortem to Pre-Call Preparation While many sales organizations pay lip service to coaching, Kristie notes that much of it is relegated to "postmortems"—reviewing what went right or wrong after calls. With the advent of AI providing more tactical information, she suggests coaching on the front end, which means doing the pre-call coaching to make sure that reps are bringing objective judgment into this decision. The most valuable skill for sales reps, and by extension, leaders, will be objective judgment and discernment, especially as AI-generated insights become ubiquitous and sometimes misleading. Are we going to take AI's word for everything? Or are we going to layer over our own human judgment?. Sales leaders need to coach reps on how to challenge, validate, and supplement AI-driven strategies, ensuring they develop the critical thinking needed to win in complex selling environments.   Methodologies and Mindsets That Matter Modern sales leaders need to leave the metaphorical cockpit and assume the role of air traffic controllers, with a broad perspective that enables them to orchestrate complex systems. Core 21st-century leadership skills, she explains, include: Systems Thinking: Understanding how the sales motion interacts with AI and other processes. Workflow Design: Defining clear divisions of responsibility between automation, augmentation, and humans. Decision Leadership: Making timely, bold decisions in a rapidly shifting landscape. Coaching for Judgment: Helping reps make nuanced decisions, not just follow playbooks. Clarity of Accountability: Explicitly defining what AI owns versus what humans own.   The metric we need to be looking at is quality of output, not quantity of input. Leaders need to probe beyond perfect-looking AI CRM notes to test real understanding, for example by asking reps to close their laptops and work out where this deal could go south.   The Power of Belief Kirstie also shares a story about when her sales teams were struggling, she sparingly deployed "fairy dust" and encouragement, but always paired it with tactical strategies and resources. It's not just "you've got this"—it's belief coupled with action and adaptation. Leadership, modern or otherwise, is about cultivating the mindset, capability, and trust to meet every new challenge head-on.   Resources & People Mentioned Kristie Jones    Connect with Kristie Jones  Kristie K. Jones on LinkedIn  Kristie Jones on X    Connect With Paul Watts    LinkedIn Twitter    Subscribe to SALES REINVENTED Audio Production and Show notes by PODCAST FAST TRACK https://www.podcastfasttrack.com  

Why I Committed to These 3 Daily Practices for the Next 29 Years! Choose Your Emotional Health: My 3 Non-Negotiable Daily Practices! SUAC272 Join us every day in 2026 for a quick challenge that is all about you Improving and creating the life you want! https://www.facebook.com/ThrivingSharon Ask your questions and share your wisdom! #supersize #doonethingeverydaytosupersizeyou #lessonslearned #supersizeyouannualchallenge #emotionalintelligence #emotion #lifeframework #wordsmatter #feelingwheel #feelthefear #courage #confidence #action #joy #choosejoy #joylist #SUPER #uncoverwhatis #currentsituation #grief #loss #dealwithgrief #handleloss #emotionalpattern #inheritedemotion #emotionallegacy #legacy #scarcity #abundance #pick3 #habit #committoit Improve your emotional health by committing to three consistent practices that support your well-being for the next 29 years. This session challenges you to look beyond the immediate moment and build a sustainable routine. Whether you are reflecting on your childhood foundations or planning for your 95th year, establishing these daily practices is essential for long-term stability. It is for anyone ready to take ownership of their internal state and maintain consistency over decades. By focusing on specific actions, you remove the guesswork from your routine and create a clear path for your personal growth. We discuss how simple, intentional habits can shift your perspective and keep you aligned with your ultimate goals. Building these long term habits ensures you stay grounded, resilient, and focused on your well-being regardless of external circumstances. Join us every day for a dose of daily growth perspectives. Subscribe for more, and comment below: what is one emotional habit you are choosing to commit to for the long haul?

Improving bar profitability rarely comes from one big change. More often, it comes from fixing dozens of small problems across your costs, revenue, operations, staff, and guest experience.In this episode, I break down my 50-lever framework for improving your bar, why searching for one magic fix can keep you stuck, and how small operational improvements can compound into meaningful changes in profitability.I get into finding the small levers hiding inside your pour cost, labor scheduling, guest check average, service, training, and overall guest experience; how to audit your operation to determine which changes matter most; and why trying to fix everything at once usually fails. I also walk through how I'd prioritize those improvements, tackle one or two each week, measure the results, and build accountability so the changes actually stick. Because you probably don't need one breakthrough to turn your bar around. You need a list, a pace, and the discipline to make small improvements that compound. 

What's She Up To Now? The Truth About Emotional Control! Emotional Commitment: What's SHE Up To Now Day 3164? Supersize Challenges, AI, Founder Project, MMM...! Join us every day in 2026 for a quick challenge that is all about you Improving and creating the life you want! https://www.facebook.com/ThrivingSharon Ask your questions and share your wisdom! #supersize #emotion #emotionalintelligence #supersizechallenges #AI #wordsmatter #whatthingsmeantoyou #emotion #feelingwheel #frustration #journal #whatmessage #stressinbody #supersizechallenges #resilience #anxiety #calm54321 #SOAP #supersizechallenges #boundaries #SOAPframework #EQ #emotionalintelligence #empathy #connection #codependence #whatssheupto #emotiongratitude #weekahead #burnout #founderbook #founderproject #joy #choosejoy #scarcity #abundance #pick3 Master your emotional commitment to create the life you want. Learn why managing your feelings daily is a powerful choice. Sharon Horne-Ellstrom shares insights on Day 3,164 of the What's She Up To Now series. This session focuses on the reality that we always have a choice regarding our internal state. It is for anyone looking to take ownership of their reactions rather than letting circumstances dictate their mood. By focusing on managing emotions, you can build a more resilient mindset. This practice of daily choices is essential for anyone committed to long-term personal growth. We discuss how simple, consistent actions can shift your perspective and improve your overall emotional intelligence, helping you navigate challenges with greater clarity and purpose. Join us every day for a quick challenge to improve your life. Subscribe for daily personal growth perspectives, and comment below: what is one emotional habit you are choosing to change today?

Can the people around us influence how well we eat? In this episode, Douglas Taren speaks with lead author Halimatou Alaofè to discuss how support from family, friends, and peers may help people with Type 2 Diabetes make and maintain healthier dietary choices.

Through four games, new Ohio State offensive coordinator Arthur Smith has begun to evolve and develop the Buckeyes' attack, finding new ways to get the ball to superstar WR Jeremiah Smith, to put the Ohio State running backs in positions to succeed, and to make the most of QB Julian Sayin's strengths. In this episode of Ross Fulton Analysis, Ross breaks down nine plays from Ohio State's 42-19 win over Illinois that illustrate how Arthur Smith continues to broaden and strengthen the Buckeyes' offense.Today's episode is presented by Jeff Ruby's Columbus, proudly offering nationally-acclaimed U.S.D.A. Prime steaks, seafood & sushi, impeccable service, live entertainment, and an attention to detail that is simply unmatched. Just go to JeffRuby.com/Columbus to check out the menu and make a reservation today.

In the third hour, David Haugh and Jarrett Payton were joined by Bears linebacker T.J. Edwards to break down the team's 27-7 win against the Eagles on Monday Night Football. After that, Haugh and Payton discussed how the Bears' defense continues to steadily improve.

What do you do on the days when you look in the mirror and not only don't like your body, but you loathe it…and you're triggered to want to "do something" about it like cut out carbs, skip breakfast, or download the Weight Watchers app for the 11th time. If there's one thing I know for sure it's this: Hating and berating your body isn't a pathway to making peace with it.  On the other hand, you don't need to force yourself to "love your body" either. You do need to choose to respond to these bad body image days differently though.  And it starts with choosing to RESPECT your body. In this episode, I'm breaking down what body respect looks like when your body image sucks, you're desperate to lose weight, terrified of gaining weight, or you're tempted to throw away all the sugar and processed food in our house and go back to "clean" eating. Improving your body image doesn't mean waking up every morning obsessed with how gorgeous you look. It's much less glamorous: feeding your body, wearing clothes that fit, going to the doctor, moving in ways that feel supportive, and refusing to bully yourself. If you're working on intuitive eating, body acceptance, healing your relationship with food, letting go of diet culture, or making peace with your body, this episode will give you concrete actions you can do (and things NOT to do) on bad body image days.   Episode Highlights How quickly body image can send you right back into old diet-y behaviors that make things worse.  What NOT to do when you're having a bad body image day, you feel desperate to lose weight, and you feel super uncomfortable in your own skin. The difference between body positivity, body neutrality, and body respect. (Hint: body positivity isn't the answer here - and I'll explain why.) Practical ways to care for your body even when you don't feel confident in it. What it looks like to pursue nutrition, movement, sleep, medical care, and other health behaviors from a place of self-care instead of self-punishment Today's Wellness Woo is acupressure insoles for weight loss.   Resources Mentioned - Grab the free Body Image Journal Prompts Guide here! - Grab the free Daily 3 Body Kindness Journal here!   Read the full episode show notes here.   More Resources for Your Intuitive Eating Journey -Join Katy's Intuitive Eating Made Easy Facebook Group! -Work with Katy -Join Katy's weekly email newsletter -Free Guide: Stop the Constant Food Obsession   Connect with Katy Harvey Website Instagram Facebook   Subscribe and Review   Rate, Review, & Follow on Apple Podcasts   I would be thrilled if you could rate and review my podcast! Your support helps me reach and encourage more people on their intuitive eating journeys. Click here, scroll to the bottom, tap to rate with five stars, and select "Write a Review." Don't forget to share what you loved most about the episode!   Also, make sure to follow the podcast if you haven't already done so. Follow now!

What can we do if tech makes bedtime a frequent struggle? I've found that thinking about time, place, and content as ways to create excellent tech hygiene for our children, and reflecting on their sleep as an example of if it is working, can be a great way to develop healthy relationships with our tech at home.Show Notes: https://bit.ly/4jqrGxc 

As the detailing market shifts, how can shop owners protect their schedules, make their services feel more valuable, and work more efficiently? Marshall and Nick discuss practical ways to adapt—from using deposits to confirm appointments to building higher-value packages and tightening up everyday processes.They also answer listener questions about post-correction washes, caring for matte paint, and cleaning a mud-covered side-by-side with less scrubbing. Whether you run a detailing business or care for your own vehicles, this episode is full of real-world tips for better systems and smarter results.Chapters00:00 — Fall talk and the “scariest” detailer scenario03:15 — Handling surprise messes and customer expectations04:07 — Better phone questions, estimates, and when to walk away09:31 — Deposits and taking the uncertainty out of scheduling16:13 — Adding Stack to packages and raising perceived value25:42 — Responding to a slowdown and adapting your business33:24 — Improving detailing processes to save time38:11 — Color-coded towels and keeping work organized44:05 — Post-correction washing and coating prep54:49 — Safely approaching spots on matte paint58:52 — Cleaning a muddy side-by-side with less hand washing61:09 — Why protecting the vehicle beforehand makes cleanup easier

Spy Ninjas President Shelly Soriano breaks down how the YouTube-native serialized franchise scaled to 47 million subscribers and expanded beyond digital video into live entertainment, licensing, and retail.She reveals why keeping production values intentionally accessible maintains viewer trust, how a $25 million investment fuels their expansion, and why traditional entertainment talent must adapt to platform-native storytelling.Key Highlights

What can veterinarians do to make saying goodbye more personal for pet owners? Dr. Ken Gorczyca joins Dr. Susan Little and Dr. Jolle Kirpensteijn to celebrate making it to 250 episodes of Purr Podcast! Dr. Gorczyca is an at-home end-of-life veterinarian and companion animal death doula who helps pets and their families navigate the final stage of life in the comfort of their own homes. For cats especially, being able to say goodbye at home can help reduce the stress of travel and the veterinary hospital. He shares how he creates a safe space for families to reflect on their cat's entire life before the euthanasia. He discusses creating personalized ceremonies and rituals after euthanasia, giving families time to be present with their cat and begin the grieving process. Join us for a deeply moving conversation about veterinary medicine, compassion, grief, and the extraordinary role pets play in our lives. Show NotesUniversity of Vermont Companion Animal End-of-Life Doula Professional Certificate: https://learn.uvm.edu/program/companion-animal-end-of-life-doula-professional-certificate-online/ The Companion Animal Euthanasia Training Academy: https://learn.caetainternational.com/ VetArtNow: https://vetartnow.com/ A Beloved Farewell In-Home Pet Euthanasia: https://www.abelovedfarewell.com/Thanks for tuning in to the Purr Podcast with Dr. Susan and Dr. Jolle!If you enjoyed today's episode, don't forget to subscribe, rate, and leave us a review—it really helps other cat lovers and vet nerds find the show. Follow us on social media for behind-the-scenes stories, cat trivia, and the occasional bad pun. And remember: every day is better with cats, curiosity, and maybe just a little purring in the background. Until next time—stay curious, stay kind, and give your cats an extra chin scratch from us. The Purr Podcast – where feline medicine meets feline fun.

Ready to make smarter, data-driven decisions in 2027? Sign up for my FREE Million Dollar Metrics Masterclass → https://mccancemethod.com/million-dollar-metrics-masterclass-organic/Want to watch this episode on video? Check it out here on YouTube: https://www.youtube.com/watch?v=s_PINvadfwkIn this live coaching episode, I sit down with group practice owner Robin Naglieri to talk about scaling without becoming the bottleneck in your business. We dive into hiring and leadership systems, delegating admin tasks, improving team communication, and making your website more visible in AI search so you can grow your caseload more consistently.Make sure to bring your paper and pen because this episode is full of actionable tips!Here are some key points in this episode:[03:06] Hiring the right therapists for long-term growth.[07:03] Using 90-day check-ins to improve retention.[09:36] Delegating admin tasks and building better systems.[15:17] Streamlining team communication with Google Chat.[19:06] Fixing your website before increasing marketing.[21:17] Improving your website for AI search.Links From The Episode:Join the ClinicMonk™ waitlist → https://clinicmonk.com/Learn more about The Clinic Growth Map™ by booking a FREE strategy call with one of our advisors → https://mccancemethod.com/strategy-call/Listen to Episode #174: Why Every Therapy Practice Needs a CRM in 2026 → https://mccancemethod.com/episode-174-why-every-therapy-practice-needs-a-crm/ Listen to ​​Episode #160: The Evolution of SEO as we Shift to Gemini → https://mccancemethod.com/episode-160-the-evolution-of-seo-as-we-shift-to-gemini/

Plus: Nearly 19% of working-age people now use AI, per a Microsoft study. And Federal Reserve Governor Lisa Cook expects continuing inflation pressure from the AI buildout. Julie Chang hosts. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

10 Things Successful Florists Do DifferentlyHave you ever looked at another florist who seems to be crushing it and wondered:What are they doing differently?After years of owning a floral business, working alongside other florists, and coaching floral entrepreneurs, Jeni has noticed patterns.And the interesting part?Most of them have very little to do with being the most talented floral designer in the room.In this episode, Jeni breaks down 10 traits and habits she consistently sees in successful florists—and the good news is that every one of them can be learned.Success leaves clues.You can start borrowing the habits that are working for other successful business owners and intentionally build them into your own business.They take action before they have all the answersSuccessful florists do not wait until everything feels perfectly safe.They send the email.They launch the website.They try the installation.They approach the planner.They take the next step before they feel 100% confident.That does not mean they are less scared.They simply spend less time negotiating with the fear.They know their numbersSuccessful florists know more than their revenue.They understand:flower costslaborprofitabilityaverage bookinginquiry numbersconversionlead sourceswhat is profitablewhat is notRevenue can look impressive.Profit tells you what is actually happening inside the business.And successful florists use their numbers to make decisions instead of avoiding them because they feel uncomfortable.They are boringly consistentSuccess rarely comes from one viral post or one lucky wedding.It comes from repetition.Posting even when the Reel only gets 300 views.Networking even when it does not immediately produce a referral.Sending the email.Improving the process.Showing up week after week.Most businesses are built through hundreds of relatively boring repetitions.Being boringly consistent is a superpower.They follow upSuccessful florists do not automatically interpret silence as rejection.They follow up on the proposal.They follow up with the planner.They follow up with the venue.They stay connected with relationships they have already built.A shocking amount of opportunity goes to the person who simply remembered to follow up.They build relationships before they need somethingStrong referral relationships are not built by suddenly emailing a planner and saying:“Send me weddings!”Successful florists build relationships over time.They show up.They connect.They collaborate.They have coffee.They help.They refer.They become somebody people know and remember.Your next $20,000 wedding may not come from Instagram.It may come from somebody who knows your name.Relationships compound.They do not try to serve everybodyAs florists become more successful, they become increasingly comfortable saying:“That is not my client.”“That budget does not work.”“That service is not something I offer.”“That event does not fit my capacity.”Success is not only about learning what deserves a yes.It is becoming really good at knowing what deserves a no.They are willing to sellBeing talented is not enough.Successful florists talk about their offers.They recommend things.They follow up.They explain value.They ask for the sale.They make it easy for someone to understand what they offer and how to buy it.You can be the most talented florist in your market and still have a struggling business if nobody knows what you sell or how to hire you.Successful florists are willing to be salespeople.They protect profitability—not just the bookingSuccessful florists are not seduced by every big revenue number.They pay attention to:product costlabordeliverysetupteardownlogisticstimeThey do not accept a wedding simply because it would look great in their portfolio.The goal is not to book every wedding.The goal is to book the right wedding at the right price.They build systems before they desperately need themAt the beginning, you can wing a lot.Eventually, that stops working.Successful businesses build:inquiry systemsproposal templatesfloral recipesfreelancer processesproduction schedulesload liststeardown systemsfollow-up sequenceslead trackingSOPsIf everything lives inside your head, the business cannot easily grow beyond you.Systems create capacity.10. They reflect instead of just moving onAfter the wedding, successful florists ask:What worked?What took too long?What did we overbuy?What did I underprice?Where did we lose time?What should we change next time?Experience alone does not automatically make you better.Reflection is what turns experience into improvement.The bigger takeawayThe successful florists Jeni sees are not magical.They are not always more confident.They are not necessarily more talented.They have developed habits that support the business they want to build.They take action.They know their numbers.They show up consistently.They follow up.They build relationships.They set boundaries.They sell.They protect profit.They build systems.And they learn from what happened.You do not have to master all 10 tomorrow.Instead, ask yourself:Which one of these habits would make the biggest difference in my business right now?Then start there.Success leaves clues.Pay attention to the habits—not just the highlight reel.

T.J. Lang joins us in the 9:00 hour to review the Lions' 31-24 win over the Jets

At the beginning of the current decade, views of China were near historic lows in many countries. Recently, however, positive opinions of China have become more widespread, as measured in a recent Pew Research Center survey, and more people now have confidence in Chinese President Xi Jinping to do the right thing regarding world affairs. Still, in most of the 37 countries surveyed, and particularly in some of the wealthier ones, views of Xi remain more negative than positive. Views of China are also more positive in Latin America, Africa and parts of South and Southeast Asia than in wealthier European and East Asian countries. Anxieties about China persist, including concerns about its government's respect for personal freedoms, the possibility of territorial conflict with its neighbors, and interference in the affairs of other countries.  In an interview conducted on August 7, 2026, Pew Research Center Associate Director Laura Silver joins Steve Orlins to discuss changes in global perceptions of China over the past few years.  About the speaker

From Scarcity To Abundance: There's Enough Love And Joy For Everyone! SUAC271 Join us every day in 2026 for a quick challenge that is all about you Improving and creating the life you want! https://www.facebook.com/ThrivingSharon Ask your questions and share your wisdom! #supersize #doonethingeverydaytosupersizeyou #lessonslearned #supersizeyouannualchallenge #emotionalintelligence #emotion #lifeframework #wordsmatter #feelingwheel #feelthefear #courage #confidence #action #joy #choosejoy #joylist #SUPER #uncoverwhatis #currentsituation #grief #loss #dealwithgrief #handleloss #emotionalpattern #inheritedemotion #emotionallegacy #legacy #scarcity #abundance Stop feeling diminished by others. Learn how to address emotional scarcity and find better ways to interact with the world. As part of the Supersize You Annual Challenge, Sharon Horne-Ellstrom examines why we sometimes feel small when comparing ourselves to others. This session is for anyone looking to understand their internal reactions and move toward a healthier way of interacting with the world. By recognizing the roots of emotional scarcity, you can begin to choose a different, more empowered response. Adopting an abundance mentality allows you to celebrate the achievements of others without feeling like your own opportunities are limited. This shift is essential for maintaining a positive mindset regarding your emotional health, which supports your long-term personal growth. We discuss how to identify your triggers and replace them with a perspective that supports your well-being. Join us every day for a quick challenge to improve your life. Subscribe for daily personal growth perspectives, and share in the comments: have you ever felt diminished by another person's success?

Are You Living In Scarcity? The Real Reason You Feel Fear! Scarcity Is BS! What's SHE Up To Now Day 3163? Supersize Challenges, Founders, AI...! Join us every day in 2026 for a quick challenge that is all about you Improving and creating the life you want! https://www.facebook.com/ThrivingSharon Ask your questions and share your wisdom! #supersize #emotionalintelligence #supersizechallenges #AI #wordsmatter #whatthingsmeantoyou #emotion #whatssheupto #SUPERframework #scarcity #abundance Scarcity mindset is a lie that keeps you small. Stop comparing yourself to others and start creating the life you want today. Sharon argues that scarcity is a self-imposed limitation rather than a reality. Many people hold themselves back by measuring their own worth against the success of others, creating feelings of inadequacy and fear that stifle progress. By adopting an abundance mentality, you can move past these mental blocks. This session focuses on identifying where you are allowing external comparisons to dictate your internal state. It is time to discard these outdated narratives and choose a path grounded in your own goals for personal growth. Join us every day in 2026 for a quick challenge to improve your life. Subscribe for daily personal growth perspectives, and share in the comments: what is one area where you are ready to stop comparing yourself? 0:00 The Truth About Scarcity Mindset 0:49 The Myth of Overnight Success 2:10 The Real Cost of Emotional Scarcity 5:00 Building a Founder Community

What Emotional Patterns Are You Passing On? Breaking Cycles For Your Legacy! SUAC270 Join us every day in 2026 for a quick challenge that is all about you Improving and creating the life you want! https://www.facebook.com/ThrivingSharon Ask your questions and share your wisdom! #supersize #doonethingeverydaytosupersizeyou #lessonslearned #supersizeyouannualchallenge #emotionalintelligence #emotion #lifeframework #wordsmatter #feelingwheel #feelthefear #courage #confidence #action #joy #choosejoy #joylist #SUPER #uncoverwhatis #currentsituation #grief #loss #dealwithgrief #handleloss #emotionalpattern #inheritedemotion #emotionallegacy #legacy Why your emotional intelligence matters more than professional skills. Learn why children and colleagues watch your actions. We often focus on our professional output, but the people around us—especially children and team members—are paying closer attention to how we process our feelings. Whether in a family setting or a corporate environment, your reactions set the tone for everyone watching. If you want to improve your influence, you must start by observing your own habits. This session explores how to shift your behavioral patterns to align with the person you want to be. By taking responsibility for your responses, you create a stronger emotional legacy that benefits those around you. It is about moving beyond autopilot and choosing responses that build connection rather than distance. Join us every day in 2026 for a quick challenge to improve your life. Subscribe for daily personal growth perspectives, and share in the comments: how do you keep your cool when things go wrong? 0:00 The Power of Your Emotional Example 1:09 Unraveling Your Emotional Legacy 3:34 Naming the Patterns That Impact You 7:27 Executing Your Plan for Change 9:53 Choosing the Legacy You Leave Behind

Trail riding can reveal a lot about how well a horse handles change, pressure and the presence of other horses. In this episode, Mark answers member questions about preparing horses for unfamiliar trail situations, riding safely in groups, and why some horses become unsettled when they are asked to ride at the back. Learn about how horses process their surroundings and how riders can use education to improve challenges before they become problems on the trail. Mark also addresses how to improve rein responsiveness in a large horse that is hard to stop. Learn more at Mark Langley Online, with access to the complete training library, step-by-step groundwork and ridden exercises, and regular member Q&A support.

Emotional Legacy: What's SHE Up To Now Day 3162? Supersize Challenges, Founder Project, Skool, AI...MMM! Join us every day in 2026 for a quick challenge that is all about you Improving and creating the life you want! https://www.facebook.com/ThrivingSharon Ask your questions and share your wisdom! #supersize #emotion #emotionalintelligence #supersizechallenges #AI #wordsmatter #whatthingsmeantoyou #emotion #feelingwheel #frustration #journal #whatmessage #stressinbody #supersizechallenges #resilience #anxiety #calm54321 #SOAP #supersizechallenges #boundaries #SOAPframework #EQ #emotionalintelligence #empathy #connection #codependence #whatssheupto #emotiongratitude #weekahead #burnout #founderbook #founderproject #joy #choosejoy #SUPERframework #emotionallegacy #executeplan #execute Building an emotional legacy requires intentional action. Discover how to transition your career while maintaining your values. After three decades in brick-and-mortar businesses, moving into online ventures changes more than just your daily routine. It forces you to re-evaluate what you are actually creating for the future. This session explores the intersection of professional growth and the personal footprint you leave behind for those around you. We look at the specific plans and execution strategies needed to manage this shift effectively. By focusing on your emotional intelligence, you can bridge the gap between where your career has been and where you want to go. This approach helps ensure your work aligns with the long-term impact you want to have on your community and family. Join us every day in 2026 for a quick challenge to improve your life. Subscribe for daily personal growth perspectives, and share in the comments: what is the most important lesson you have learned from your career journey so far? 0:00 Defining Your Emotional Legacy 2:03 Inherited Emotions and Future Generations 4:16 Choosing Which Emotions End With You 4:48 A Controversial Decision-Making Tool

You've been training for weeks. You're running further. You're lifting weights. You're fueling properly. You're recovering better.So why aren't you getting faster every week? And if your pace hasn't changed… is your training actually working?In Episode 10 of the SLAY Stronger Runner Series, Olympian, coach and SLAY founder Louise Hazel explains why pace is only one measure of running progress, and why you could be becoming a significantly better runner without seeing a dramatic change on your watch.In this episode, you'll learn:• Why running progress is never perfectly linear• Why the same pace can represent completely different levels of fitness• The SLAY Performance Triangle: Pace, Effort & Recovery• How to use heart rate without becoming obsessed with it• What Rate of Perceived Exertion (RPE) can tell you• Why your easy runs can reveal improvements in aerobic fitness• How running economy improves• Why being able to run further is progress• Why recovering faster is a performance improvement• Why accumulated fatigue can temporarily hide your fitness• Why constantly testing yourself can actually interfere with training• The six metrics in the SLAY Progress ScorecardThis week's challenge:Repeat. Don't race. Repeat an easy run you've completed previously at a similar perceived effort and compare how it feels. Not just how fast you ran. Because your watch can measure your pace. It can't measure the entire athlete you're becoming.

In this episode, Danica Smith, Guest Experience Correspondent at Hospitality Daily and founder of MorningStar GX, joins Josiah Mackenzie to share her read on AI in travel and hospitality, fresh from the main stage at AI Summit Barcelona, where not one person in the room said they would let an AI agent book their trip without approval. Danica and Josiah compare that hesitation with Josiah's recent experience using AI to research and book a trip. They also discuss inequality in experimenting with AI, what productivity measures can miss about hospitality work, consent when technology records guests, and whether a new tool is actually making life better.Mentioned in this episode:AI Summit BarcelonaWomen in Travel ThriveChatGPT CodexClaudeMeta MuseOpenClawWispr FlowGranolaLovableCanvaMore with Danica:Should Hoteliers be "Vibe Coding" with AI?Guest Experience Tech: What I Learned Building, Selling, and Using ItBeyond Buzzwords: The Truth about Guest Experience A few more resources:If you're new to Hospitality Daily, start here. You can send me a message here with questions, comments, or guest suggestionsIf you want to get my summary and actionable insights from each episode delivered to your inbox each day, subscribe here for free.Follow Hospitality Daily and join the conversation on YouTube, LinkedIn, and Instagram.If you want to advertise on Hospitality Daily, here are the ways we can work together.If you found this episode interesting or helpful, send it to someone on your team so you can turn the ideas into action and benefit your business and the people you serve!Music for this show is produced by Clay Bassford of Bespoke Sound: Music Identity Design for Hospitality Brands

Are you becoming a better guitarist, or just getting better at noticing your mistakes?Guitar progress usually happens so gradually that it can be difficult to see. While you're focused on the chord you still can't change cleanly or the song you haven't finished, it's easy to overlook everything that has already improved.In this episode, we explore the signs of progress that beginner guitarists often miss, and why feeling more aware of your mistakes may actually mean that your musical ear is developing.You'll discover:Why guitar progress can be difficult to recogniseHow improving can sometimes make you feel worse about your playingWhy faster doesn't always mean betterThe difference between playing something once and playing it reliablyWhy recovering from mistakes is an important musical skillHow reduced mental effort shows that a skill is becoming automaticWhy learning new material more quickly is evidence of progressHow returning to older songs and exercises reveals how far you've comeThree useful ways to measure progress: numbers, recordings and experienceWhat to do when your playing reaches a plateauThis week's challenge: The Progress Evidence CheckComplete these three steps:Revisit a song, riff, chord progression or exercise you were learning a few months ago and notice what feels easier now.Find an old recording, practice entry or course milestone and compare it with where you are today.Write down three specific pieces of evidence that your playing has improved.Your improvements don't need to be dramatic. Cleaner chords, steadier rhythm, greater confidence, more consistent practice or recovering from a mistake without stopping all count.Then ask yourself:What can you do on the guitar now that you couldn't do three months ago?This episode concludes September's Build Momentum series:Begin again without trying to catch upBuild a routine that doesn't depend on motivationChoose the right practice priorityRecognise the progress your work is producingIf you'd like a structured path, unlimited teacher support and a community of adult guitarists learning alongside you, join Beginner Guitar Academy.You'll also receive access to the BGA Practice Studio, where you can create focused sessions, set goals and build a record of your guitar journey.Start your 14-day trial for just $1:https://www.beginnerguitaracademy.comIf you enjoyed this episode, follow the podcast and share it with another guitarist who may be overlooking how much progress they've already made.

Grief. Loss. What's SHE Up To Now Day 3161? Supersize Challenges, AI, Founder Project, SUPER, Skool...! Join us every day in 2026 for a quick challenge that is all about you Improving and creating the life you want! https://www.facebook.com/ThrivingSharon Ask your questions and share your wisdom! #supersize #emotion #emotionalintelligence #supersizechallenges #AI #wordsmatter #whatthingsmeantoyou #emotion #feelingwheel #frustration #journal #whatmessage #stressinbody #supersizechallenges #resilience #anxiety #calm54321 #SOAP #supersizechallenges #boundaries #SOAPframework #EQ #emotionalintelligence #empathy #connection #codependence #whatssheupto #emotiongratitude #weekahead #burnout #founderbook #founderproject #joy #choosejoy #SUPERframework #grief #loss #handlinggrief #dealwithloss 0:00 Hidden Grief and Unacknowledged Loss 1:59 A Ritual for Letting Go 3:51 Behind the Scenes of My Content Planning 6:07 The Founders Project and Learning from Others

Why You Can't Move Forward Until You Face This! Honor What You've Lost: How We Process Grief And Move Forward! SuAC269 SUPER Join us every day in 2026 for a quick challenge that is all about you Improving and creating the life you want! https://www.facebook.com/ThrivingSharon Ask your questions and share your wisdom! #supersize #doonethingeverydaytosupersizeyou #lessonslearned #supersizeyouannualchallenge #emotion #lifeframework #wordsmatter #feelingwheel #SUPER #uncoverwhatis #currentsituation #grief #loss #dealwithgrief #handleloss Processing grief is essential to move forward. Learn how to bridge the gap between your current situation and outcomes. Many people carry loss without even realizing its impact on their daily lives. We often operate on autopilot, ignoring the weight of what we have lost while trying to maintain our usual pace. This session helps you identify those unacknowledged feelings so they no longer dictate your decision-making. By applying the P in our super framework, you can map out a practical plan to bridge the gap between your current circumstances and where you want to be. This approach is designed to support your personal growth by integrating your emotional reality into your daily life. Prioritizing your emotional health allows you to navigate difficult transitions with greater clarity and intention. Join us every day in 2026 for a quick challenge to improve your life. Subscribe for daily personal growth perspectives, and share in the comments: what is one way you are practicing self-care this week? 0:00 Hidden Grief and Emotional Impact 0:48 Mapping Your Path to Success 2:28 Expanding the Definition of Loss 5:34 Personal Rituals for Healing

Welcome back to another edition of Carolina Cabinet, Cumberland County's smartest hour of talk radio! In this episode, host Peter Pappas sits down in the studio with Greg West, a longtime public servant and current candidate for Cumberland County Commission at Large. With 24 years of experience on the school board, Greg West shares insights from his decades in education, discusses the challenges and victories throughout his tenure—including navigating the COVID-19 pandemic—and explains how his background as a builder and broker shapes his vision for county government.Together, they dive into everything from the nuances of at-large elections and the crucial relationship between quality schools and community growth, to pressing issues like economic development, infrastructure, and navigating partisan politics at the local level. Whether you care about schools, economic opportunity, or the future of Cumberland County, this conversation is full of candid perspectives and thoughtful discussion about what it means to serve—and the challenges and opportunities facing the community today.

The Utes Offensive Coordinator on going against his former team Utah State last week, Improving production in the run game, Big 12 opener & first road game tomorrow at Iowa St + more

The Utes Offensive Coordinator on going against his former team Utah State last week, Improving production in the run game, Big 12 opener & first road game tomorrow at Iowa St + more

The Secret to Success? It's Not What You Think! Choose Joy Daily: Joy Isn't A Reward, It's A Choice! SUPER! SUAC268 Join us every day in 2026 for a quick challenge that is all about you Improving and creating the life you want! https://www.facebook.com/ThrivingSharon Ask your questions and share your wisdom! #supersize #doonethingeverydaytosupersizeyou #lessonslearned #supersizeyouannualchallenge #emotionalintelligence #emotion #lifeframework #wordsmatter #feelingwheel #feelthefear #courage #confidence #action #joy #choosejoy #joylist #SUPER #uncoverwhatis #currentsituation Choose joy to create the life you want. Learn why happiness is the engine of your success rather than a reward you wait for. Many people fall into the trap of waiting for external accomplishments to feel happy. In this session, we explore how to shift your mindset by practicing joy as an active, daily choice. This emotional practice is a core part of our ongoing challenge to help you build a more intentional life. When you prioritize your feelings first, you gain the clarity needed to sustain your personal growth. By understanding that joy is a skill you develop, you can begin to influence your outcomes and create the results you actually want. Join us every day in 2026 for these quick challenges to improve your life. Subscribe for daily personal growth perspectives, and share in the comments: what is one way you are choosing joy today?

In this episode of Modern Chiropractic Mastery, Dr. Kevin Christie welcomes Dan Wood to explore the intricate world of practice finances and analytics. Dan, who has a unique background in corporate finance and experience with Mount Lookout Chiropractic, shares invaluable insights into optimizing financial metrics for chiropractic practices.The discussion delves into the importance of understanding financial forecasting and metrics that can drive growth and sustainability in chiropractic clinics. Dan emphasizes the necessity of aligning compensation structures with individual performance while fostering a collaborative office environment. He provides a detailed look at how to create tailored incentive programs that motivate doctors and enhance overall practice performance.Listeners will benefit from practical advice on how to evaluate the profitability of services, such as integrating physical therapy into chiropractic practices, and the potential implications of transitioning to a cash-based model. Dan also discusses the significance of scenario-based planning, helping practice owners navigate the complexities of financial decision-making in an ever-changing economic landscape.

Mike Switzer interviews Dr. Jane Roberts, Carolina Distinguished Professor and executive director of the Carolina Autism and Neurodevelopment Research Center at the University of SC in Columbia, SC.

Jen Beyst is the co-founder and Executive Director of the Cognitive Function Development Institute and a Master Neuroplastician. With a background in education and cognitive skills training, she has spent more than two decades helping people develop skills related to attention, memory, emotional regulation, and learning. Through Cognitive Function Development Therapy, Jen works to translate neuroscience and neuroplasticity into practical tools for improving brain function and everyday performance. Timestamps: (00:00) Intro (04:34) The Yavapai Health and Wellness Expo (09:42) Improving memory function for people in cognitive decline (10:58) The speaker lineup for the Yavapai Health and Wellness Expo (27:30) Demos offered at the wellness expo (34:28) Outro For more information, please see the links below. Thank you for listening!   Links: Jen Beyst: The Yavapai Health and Wellness Expo: https://bridgeaz.co/category/yavapai-health-wellness-expo/ TransformED Training: https://transformedtraining.org Cognitive Function Development Institute: https://cfdinstitute.com • • Brain Builders: https://brainbuilders.health   Dr. Brian Lenzkes:  Arizona Metabolic Health: https://arizonametabolichealth.com/ • • Low Carb MD Podcast: https://www.lowcarbmd.com/

We're back with more on the latest sports media news, info, personalities and our takes on the "LWOS Media Podcast!"Host T.J. Rives is back with THE Mike Gill, host of the "Sports Bash" the weekday afternoon radio show in Atlantic City, NJ/South Philadelphia, PA. The guys go over the topics:Has J.J. Watt begun to mesh a little with Jim Nantz on CBS' lead NFL coverage? Will Tony Romo ever be back on that network? And, will the musical chairs start up if Troy Aikman chooses not to re-up and stay on Monday Night Football with Joe Buck, who just signed his own massive extension?Also, who's an announce team on the NFL games that Mike and T.J. are really liking so far?Next, to college and will the controversy with Texas football coach Steve Sarkisian and ESPN sideline reporter Holly Rowe start back up this weekend? This, after he blew off her post game interivew after the Longhorns massive comeback with Ohio State two weeks ago. Texas plays at Tennessee at noon with the #1 ESPN crew on the call. Mike has more thoughts on Doc Rivers returning to the prominent NBA broadcast booth for NBC Sports this time and their coverage this fall. Rivers bailed on ESPN/ABC in just three months to years ago to take another coaching job in Milwaukee. Do we need a "three person booth" with he and Mike Tirico?And, the guys talk MLB coming down the home stretch for playoffs and N.Y. Mets radio announcer Howie Rose says goodbye after nearly 40 years on their local broadcasts.The guys also have thoughts on the stunning sudden announcement that ESPN basketball analyst and Coak K's son in law, Chris Spatola has died at just 47 years old on Monday. A horrible situation.Hear it all on the "LWOS Media Podcast" and find us on Apple/Spreaker/Spotify, etc.! Follow, Like and Comment on the Show:AppleSpotifyAmazon MusicCome talk with TJ on X:@ItsTJRives

ESPN NFL analyst Ben Solak joins Buck Reising and Lucas Panzica to recap the Titans’ close loss to the Philadelphia Eagles, examining whether Tennessee found something on offense with Cam Ward and what he can continue to improve on.See omnystudio.com/listener for privacy information.

Get the 200+ Page Optimal Living Daily Workbook (PDF) - Free. Want to turn today's episode into an actionable plan? Join the Optimal Living Weekly newsletter and I'll send you our 200-page digital workbook immediately. It's packed with the best takeaways from the show, formatted for easy reading and implementation at home. Get your free PDF workbook here: https://oldpodcast.eo.page/join Discover all of the podcasts in our network, search for specific episodes, get the Optimal Living Daily workbook, and learn more at: OLDPodcast.com Episode 3545: Joshua Fields Millburn describes the diet and daily routine he settled into after years of eating whatever he wanted, covering food, intermittent fasting, water, supplements, exercise, sleep and stress. He treats food as fuel rather than entertainment, and credits the combination for an 80-pound weight loss and a marked change in how he feels. He is careful to say the specifics are his own, and suggests testing a single change for ten days rather than adopting the whole thing. Read along with the original article(s) here: https://www.theminimalists.com/diet/ Quotes to ponder: "Food is fuel, nothing more." "You don't have to kill yourself to become fit." "Improving one's health is the foundation of living a meaningful life: without your health, nothing else matters." Optimal Health Daily is a daily health and wellness podcast where we narrate the best articles on nutrition, fitness, weight loss, and healthy habits, read to you by a professional narrator so you can improve your health a little more every day. Learn more about your ad choices. Visit megaphone.fm/adchoices

Lindsay explains that protein recommendations swing widely and argues intake should be based on context: goals, resistance training, body composition, and whether someone is eating at maintenance or in a calorie deficit. She emphasizes that calorie restriction can suppress muscle protein synthesis, making higher protein and resistance training especially important during fat loss phases, citing recommendations for lean, trained individuals in aggressive cuts and explaining why protein targets may rise as deficits become more severe.Topics discussed:(00:00) - Protein Debate Begins (01:51) - RDA vs Training Goals (03:44) - Protein for Aging Strong (05:13) - ISSN Guidelines and Context (06:23) - Where 0.7 Comes From (07:44) - Why Some Need More (09:41) - High Protein at Maintenance (10:33) - Mindful Eating App Plug (12:54) - Deficit Changes Everything (14:43) - Muscle Biology in a Cut (17:33) - Higher Targets for Lean Lifters (21:03) - Practical Protein Examples (23:34) - Lifestyle and Cut Cycles (26:16) - Wrap Up and Takeaways Connect With LindsayInstagram: @liftinglindsayJoin the BeStrong Community for science based training, nutrition education, coaching, live calls, and a supportive community of women who want to get stronger, build muscle, and improve their health.Learn more at liftinglindsay.comReady To Train With Us?If this episode resonated with you and you're ready to experience this style of training for yourself, it's not too late to join us inside the BeStrong app.Our newest hypertrophy phase has already begun, but you're absolutely not behind.This training block focuses on:✔ Lengthened position training✔ Strategic pauses and isometrics✔ Improving muscle tension✔ Building strength and muscle with intentional execution✔ Learning how to make the target muscle do more of the workYou'll get access to the complete training program, exercise video demonstrations, nutrition guidance, live coaching calls, and a community of women committed to getting stronger together.Join us HEREStudies & ReferencesMorton RW, et al. (2018). A systematic review, meta-analysis and meta-regression of the effect of protein supplementation on resistance training-induced gains in muscle mass and strength in healthy adults. British Journal of Sports Medicine.This is the big meta-analysis behind the commonly cited ~1.6 g/kg or 0.73 g/lb protein target for resistance training. The estimated breakpoint was 1.62 g/kg/day, with a 95% CI extending to 2.20 g/kg/day. Read the studyJäger R, et al. (2017). International Society of Sports Nutrition Position Stand: Protein and Exercise. Journal of the International Society of Sports Nutrition.ISSN recommends approximately 1.4–2.0 g/kg/day (0.64–0.91 g/lb) for most exercising individuals, while noting that higher intakes may be useful during calorie restriction. Read the position standAreta JL, et al. (2014). Reduced resting skeletal muscle protein synthesis is rescued by resistance exercise and protein ingestion following short-term energy deficit. American Journal of Physiology.After only five days of energy restriction, resting muscle protein synthesis decreased. Resistance training restored MPS toward energy-balance levels, and protein ingestion after training stimulated it further. This is a great study for explaining why lifting + protein become so important during a deficit. Read the studyHelms ER, et al. (2014). A systematic review of dietary protein during caloric restriction in resistance trained lean athletes: a case for higher intakes. International Journal of Sport Nutrition and Exercise Metabolism.This review suggested 2.3–3.1 g/kg of fat-free mass during calorie restriction in lean resistance-trained athletes, with protein needs potentially increasing with greater leanness and more severe calorie restriction. Read the reviewLongland TM, et al. (2016). Higher compared with lower dietary protein during an energy deficit combined with intense exercise promotes greater lean mass gain and fat mass loss. American Journal of Clinical Nutrition.Young men underwent an aggressive ~40% calorie deficit while training six days per week. Those consuming 2.4 g/kg protein gained more lean mass and lost more fat than those consuming 1.2 g/kg. Important study, but also a perfect example of why population and context matter. Read the studyPasiakos SM, et al. (2013). Effects of high-protein diets on fat-free mass and muscle protein synthesis following weight loss: a randomized controlled trial. FASEB Journal.Participants consumed 0.8, 1.6, or 2.4 g/kg/day during a 40% energy deficit. The groups consuming 1.6 and 2.4 g/kg lost a smaller proportion of weight from fat-free mass than the RDA group, supporting protein intakes above the RDA during substantial energy restriction. Read the study