Podcasts about models

A good year in modeling doesn't happen by accident. It grows out of small bench wins, a few brave skill pushes, and the friends who show up at the right time. We wrap 2025 with a clear-eyed look at what worked, what changed, and how to carry that energy into 2026—plus a rich conversation with Australia's own Paul Gloster on moving his entire modeling life across states without losing momentum.We start with holiday check-ins, realistic bench talk, and the simple joy of a new tool that actually solves a problem. From there, we dig into the skills that moved the needle this year: sharper re-engraving, cleaner canopies, tighter scratchbuilding, and just enough 3D printing to expand what's possible. Then we head into travel and community. Four days at the IPMS National Convention changes your modeling in ways a two-day show can't—deeper seminars, patient conversations, and the kind of learning that sticks. It's where “model friends” become friends, and where you can see a kit built before it lands in your shop.Paul's segment is a masterclass in keeping mojo alive during a move. He shows how to triage a stash, protect finished builds with foam and tubs, and assemble a small, reachable “twelve-kit shortlist” that keeps you building while the new bench comes together. He catalogs tools by role, keeps a “desert-island” core set handy, and ensures references are within reach so progress doesn't stall. If you're searching for how to move built models, how to store unbuilt kits long-term, or how to set up a temporary modeling bench, you'll leave with a proven plan.We also riff on the kit news that made 2025 pop: Fine Molds' Zeros and F-104s, Tamiya's 1/72 F-14, Rye Field's JS-2, and Arma's incoming 1/72 Me 262. More than eye candy, these releases give modelers fresh canvases—better engineering, great markings, and subjects that reward both clean builds and heavy weathering.If you're plotting your own 2026, here's our take: set one or two honest goals, pick a some that stretch you, and build the bench you want to return to. The rest follows. Enjoy the episode, share it with a modeling friend, and help someone new find their groove.If you had a favorite kit reveal or a skill breakthrough in 2025, tell us about it. And if this resonated, please follow, rate, and leave a short review—it helps more modelers find the show.Model Paint SolutionsYour source for Harder & Steenbeck Airbrushes and David Union Power ToolsSQUADRON Adding to the stash since 1968Model PodcastsPlease check out the other pods in the modelsphere!Disclaimer: This post contains affiliate links. If you make a purchase, I may receive a commission at no extra cost to you.Give us your Feedback!Rate the Show!Support the Show!PatreonBuy Me a BeerPaypalBump Riffs Graciously Provided by Ed BarothAd Reads Generously Provided by Bob "The Voice of Bob" BairMike and Kentucky Dave thank each and everyone of you for participating on this journey with us.

Part 2 of this two-part dive into the recent batch of released Epstein files kicks off by naming more of the men photographed in the Epstein files who seemingly enjoyed the spoils of supporting his network, from magician David Copperfield, to disgraced movie director Brett Ratner, to named co-conspirator, and infamous predator disguised as a model scout, Jean-Luc Brunel. With more released documentation of what victims were reporting over the years, and who could have taken action, the number of people who chose to look the other way is astounding. A startling FBI Tip from an alleged victim regarding Epstein and Trump's involvement in crimes against her at 13-years old on Lake Michigan takes us on a historical dive into forced business connections with that area that span decades. Several victim statements and allegations are reviewed, and throughout, we see the impact of Virginia Giuffre's bravery to pursue legal action against Ghislaine Maxwell and speak publicly. All opinions are personal and not representative of any outside company, person, or agenda. This podcast is hosted by a United States citizen, born and raised in a military family that is proud of this country's commitment to free speech. Information shared via published articles, legal documents, press releases, government websites, executive orders, public videos, news reports, and/or direct quotes and statements, and all may be paraphrased for brevity and presented in layman's terms.Check your voter registration, find your polling location, or contact your representatives via USA.GOV, VOTE.GOV, and/or the "5 Calls" app. “I love America more than any other country in the world and, exactly for this reason, I insist on the right to criticize her perpetually.” - James BaldwinWanna support this independent pod? Links below:BuyMeACoffee - https://www.buymeacoffee.com/BBDBVenmo @TYBBDB Hosted on Acast. See acast.com/privacy for more information.

Eric Bradlow, Shane Jensen, and Adi Wyner examine how AI-driven metrics, model calibration, and Bayesian approaches inform quarterback evaluation, team upsets, and the evolving limits of sports analytics. Hosted on Acast. See acast.com/privacy for more information.

This episode is a special replay from The Generalist Podcast, featuring a conversation with a16z General Partner Martin Casado. Martin has lived through multiple tech waves as a founder, researcher, and investor, and in this discussion he shares how he thinks about the AI boom, why he believes we're still early in the cycle, and how a market-first lens shapes his approach to investing.They also dig into the mechanics behind the scenes: why AI coding could become a multi-trillion-dollar market, how a16z evolved from a small generalist firm into a specialized organization, the growing role of open-source models, and why Martin believes AGI debates often obscure more meaningful questions about how technology actually creates value. Resources:Follow Mario GabrieleX: https://x.com/mariogabrielehttps://www.generalist.com/Follow Martin Casado:LinkedIn: https://www.linkedin.com/in/martincasado/X: https://x.com/martin_casadoThe Generalist Substack: https://www.generalist.com/The Generalist on YouTube: https://www.youtube.com/@TheGeneralistPodcastSpotify: https://open.spotify.com/show/6mHuHe0Tj6XVxpgaw4WsJVApple: https://podcasts.apple.com/us/podcast/the-generalist/id1805868710 Stay Updated:If you enjoyed this episode, be sure to like, subscribe, and share with your friends!Find a16z on X: https://x.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zListen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYXListen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this Brand Highlight, we talk with Michael Roytman, CTO of Empirical Security, about a problem many security teams quietly struggle with: using general purpose AI tools for decisions that demand precision, forecasting, and accountability.Michael explains why large language models are often misapplied in security programs. LLMs excel at summarization, classification, and pattern extraction, but they are not designed to predict future outcomes like exploitation likelihood or operational risk. Treating them as universal problem solvers creates confidence gaps, not clarity.At Empirical, the focus is on preventative security through purpose built modeling. That means probabilistic forecasting, enterprise specific risk models, and continuous retraining using real telemetry from security operations. Instead of relying on a single model or generic scoring system, Empirical applies ensembles of models tuned to specific tasks, from vulnerability exploitation probability to identifying malicious code patterns.Michael also highlights why retraining matters as much as training. Threat conditions, environments, and attacker behavior change constantly. Models that are not continuously updated lose relevance quickly. Building that feedback loop across hundreds of customers is as much an engineering and operations challenge as it is a data science one.The conversation reinforces a simple but often ignored idea: better security outcomes come from using the right tools for the right questions, not from chasing whatever AI technique happens to be popular. This episode offers a grounded perspective for leaders trying to separate signal from noise in AI driven security decision making.Note: This story contains promotional content. Learn more.GUESTMichael Roytman, CTO of Empirical Security | On LinkedIn: https://www.linkedin.com/in/michael-roytman/RESOURCESLearn more about Empirical Security: https://www.empiricalsecurity.com/LinkedIn Post: https://www.linkedin.com/posts/bellis_a-lot-of-people-are-talking-about-generative-activity-7394418706388402178-uZjB/Are you interested in telling your story?▶︎ Full Length Brand Story: https://www.studioc60.com/content-creation#full▶︎ Brand Spotlight Story: https://www.studioc60.com/content-creation#spotlight▶︎ Brand Highlight Story: https://www.studioc60.com/content-creation#highlightKeywords: sean martin, michael roytman, ed beis, empirical security, cybersecurity, ai, machinelearning, vulnerability, risk, forecasting, brand story, brand marketing, marketing podcast, brand story podcast, brand spotlight Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

From Berkeley robotics and OpenAI's 2017 Dota-era internship to shipping RL breakthroughs on GPT-4o, o1, and o3, and now leading model development at Cursor, Ashvin Nair has done it all. We caught up with Ashvin at NeurIPS 2025 to dig into the inside story of OpenAI's reasoning team (spoiler: it went from a dozen people to 300+), why IOI Gold felt reachable in 2022 but somehow didn't change the world when o1 actually achieved it, how RL doesn't generalize beyond the training distribution (and why that means you need to bring economically useful tasks into distribution by co-designing products and models), the deeper lessons from the RL research era (2017–2022) and why most of it didn't pan out because the community overfitted to benchmarks, how Cursor is uniquely positioned to do continual learning at scale with policy updates every two hours and product-model co-design that keeps engineers in the loop instead of context-switching into ADHD hell, and his bet that the next paradigm shift is continual learning with infinite memory—where models experience something once (a bug, a mistake, a user pattern) and never forget it, storing millions of deployment tokens in weights without overloading capacity. We discuss: Ashvin's path: Berkeley robotics PhD → OpenAI 2017 intern (Dota era) → o1/o3 reasoning team → Cursor ML lead in three months Why robotics people are the most grounded at NeurIPS (they work with the real world) and simulation people are the most unhinged (Lex Fridman's take) The IOI Gold paradox: "If you told me we'd achieve IOI Gold in 2022, I'd assume we could all go on vacation—AI solved, no point working anymore. But life is still the same." The RL research era (2017–2022) and why most of it didn't pan out: overfitting to benchmarks, too many implicit knobs to tune, and the community rewarding complex ideas over simple ones that generalize Inside the o1 origin story: a dozen people, conviction from Ilya and Jakob Pachocki that RL would work, small-scale prototypes producing "surprisingly accurate reasoning traces" on math, and first-principles belief that scaled The reasoning team grew from ~12 to 300+ people as o1 became a product and safety, tooling, and deployment scaled up Why Cursor is uniquely positioned for continual learning: policy updates every two hours (online RL on tab), product and ML sitting next to each other, and the entire software engineering workflow (code, logs, debugging, DataDog) living in the product Composer as the start of product-model co-design: smart enough to use, fast enough to stay in the loop, and built by a 20–25 person ML team with high-taste co-founders who code daily The next paradigm shift: continual learning with infinite memory—models that experience something once (a bug, a user mistake) and store it in weights forever, learning from millions of deployment tokens without overloading capacity (trillions of pretraining tokens = plenty of room) Why off-policy RL is unstable (Ashvin's favorite interview question) and why Cursor does two-day work trials instead of whiteboard interviews The vision: automate software engineering as a process (not just answering prompts), co-design products so the entire workflow (write code, check logs, debug, iterate) is in-distribution for RL, and make models that never make the same mistake twice — Ashvin Nair Cursor: https://cursor.com X: https://x.com/ashvinnair_ Chapters 00:00:00 Introduction: From Robotics to Cursor via OpenAI 00:01:58 The Robotics to LLM Agent Transition: Why Code Won 00:09:11 RL Research Winter and Academic Overfitting 00:11:45 The Scaling Era and Moving Goalposts: IOI Gold Doesn't Mean AGI 00:21:30 OpenAI's Reasoning Journey: From Codex to O1 00:20:03 The Blip: Thanksgiving 2023 and OpenAI Governance 00:22:39 RL for Reasoning: The O-Series Conviction and Scaling 00:25:47 O1 to O3: Smooth Internal Progress vs External Hype Cycles 00:33:07 Why Cursor: Co-Designing Products and Models for Real Work 00:34:14 Composer and the Future: Online Learning Every Two Hours 00:35:15 Continual Learning: The Missing Paradigm Shift 00:44:00 Hiring at Cursor and Why Off-Policy RL is Unstable

Forestry is often treated as just timber production. But in this 2-in-1 compilation about sustainable forestry, you'll hear a different way of thinking. One that looks beyond timber to carbon, biodiversity, water, and resilience.I revisit key moments from two earlier episodes that look at sustainable forestry as a serious investment strategy and a practical example of nature-based investing. They show how forests can deliver competitive returns, hedge inflation, and reduce portfolio risk while addressing climate and biodiversity pressures.In one conversation, Bettina von Hagen talks about how better forest management can make forests more valuable over time. In the other, Charlotte Kaiser explains why climate and biodiversity loss are now showing up as real risks for investors.Together, they show how decisions made on the ground connect with institutional capital in the real world. You'll hear:How sustainable forestry creates value beyond timber productionWhy forests function as an inflation hedge and portfolio stabilizerHow climate-smart forestry improves resilience without sacrificing returnsHow carbon markets and conservation expand financial optionalityHow biodiversity, carbon, and community outcomes are measuredIf you want solid information before deciding whether forests belong in a portfolio, this episode is a good place to start.Featured guests:Bettina von Hagen, Managing Director & CEO at EFM Investments & AdvisoryCharlotte Kaiser, Head of Impact Finance at BTG Pactual's Timberland Investment Group (TIG)Listen Next: Full conversation with Bettina von Hagen Full conversation with Charlotte Kaiser Discover More from SRI360°:Explore all episodes of the SRI360° PodcastSign up for the free weekly email update

This podcast, a presentation at the Collaborative Family Healthcare Association 2025 conference in Raleigh, North Carolina, explores the intersection of behavioral healthcare in primary care settings through two Integrated Care models: the collaborative care model (CoCM) and the primary care behavioral health model (PCBH). CoCM utilizes a structured interdisciplinary approach to deliver evidence based behavioral interventions alongside medication recommendation and management. PCBH adopts an integrated care approach, embedding behavioral health consultants within the primary care setting, making it easier for patients to receive holistic treatment. We will discuss key components, patient outcomes, collaboration, techniques, and lessons learned in an academic family medicine clinic.

Paul highlights Timothy and Epaphroditus as examples of faithful disciples—men who lived out the gospel with integrity, sacrifice, and genuine concern for others. Their lives model what it means to be an obedient follower and a gracious friend. Who are you learning from? And who are you modeling this for?

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Wes and Scott revisit their 2025 web development predictions, grading hits and misses across AI, browsers, frameworks, CSS, and tooling. From Temporal and AI coding agents to React, Vite, and vanilla CSS, they reflect on what actually changed, what stalled, and what it all means heading into 2026. Show Notes 00:00 Welcome to Syntax! 866: 2025 Web Development Predictions 01:26 Temporal API will ship in the browser 03:33 On-device AI becomes common 06:14 WebGPU unlocks fast local machine learning TypeGPU 07:10 Models will plateau 10:32 Is there an actual use case for video and photo gen AI? 13:27 Text to UI tools get really good 16:25 Framework choice will matter less 18:53 Web components in Standard Stack, Web Awesome takes off 21:37 AI browsers and Copilot Workspace-style tools will become normal 22:56 AI browsera will become inevitable, OpenAI will launch a browser 27:51 Relative color will feel fully “safe to use” 29:02 Vanilla CSS will make a comeback 30:33 Brought to you by Sentry.io 30:58 CSS mixins and functions spec solidifies CSS Custom Functions and Mixins Module Level 1 33:25 Container style queries will ship everywhere CSS if statements 35:40 Vertical centering jokes will stubbornly persist 36:20 VS Code will reach feature parity with Cursor 38:47 More VS Code forks will appear 39:46 React Compiler drops Babel 40:34 React server components will pop 42:17 Remix re-emerges as something new 43:17 React Native will have its time 44:21 TanStack Start and Tanstack will pop 45:46 SvelteKit gets more granular data loading 46:06 Local first apps will take off 46:43 Bun keeps doing “wild but loved” non-standard features, Bun will launch a platform-as-a-service 48:22 Vite stays king 51:07 Laravel will release a CMS 52:44 Sick Picks + Shameless Plugs Sick Picks Scott: DARKBEAM Flashlight UV Black Light Wes: WOOZOO Fan Hit us up on Socials! Syntax: X Instagram Tiktok LinkedIn Threads Wes: X Instagram Tiktok LinkedIn Threads Scott: X Instagram Tiktok LinkedIn Threads Randy: X Instagram YouTube Threads

The news of Texas covered today includes:Our Lone Star story of the day: Odessa and Ector County exemplify the Stench of Local Government at present: Citizens said no to bonds to build a new courthouse; officials gave them the middle finger and went ahead anyway with a $200 million project with debt from C.O. bonds. Odessa's civic cheerleader crew ran a RINO/liberal slate with big money backing for city council, swept out the conservatives, and immediately went on a tax raising spree that may turn out to be illegal. But don't worry, city officials are going to spend more of the people's money to protect their tax increase! Notice how in both stories the reporter left out the background.Our Lone Star story of the day is sponsored by Allied Compliance Services providing the best service in DOT, business and personal drug and alcohol testing since 1995.ACU graduate and left-liberal Obama appointed federal judge, Robert Pitman, blocks Texas new age verification law for app stores. Pitman claims minors have a right to access anything without verifying age so when will he overturn all the other things we require age verification for?Listen on the radio, or station stream, at 5pm Central. Click for our radio and streaming affiliates.www.PrattonTexas.com

3HL - 12-24-25 - Hour 2 - Tennessee Player Models His Game After Ron SlaySee omnystudio.com/listener for privacy information.

3HL - 12-24-25 - Hour 2 - Tennessee Player Models His Game After Ron SlaySee omnystudio.com/listener for privacy information.

Yann LeCun helped shape modern AI. Now he's pushing its next evolution. We explore his latest gamble.Get the top 40+ AI Models for $20 at AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustleSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Boost from $10B Amazon OpenAI talks. Models enhance services. Innovation leads.Get the top 40+ AI Models for $20 at AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustleSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Drs. Kaul and Adegunsoye discuss advanced technologies to improve early detection and treatment of interstitial lung disease in veterans, with innovative approaches including the MAVRIC trial and AI-powered risk prediction models. These efforts aim to transform pulmonary care by identifying high-risk patients and developing targeted interventions.

Healthcare does not lack workers; it lacks a work model capable of supporting them. Modern care assumed infinite elasticity from clinicians, but that model has reached its limit. What comes next is not incremental change; it is reconfiguration: team-based, patient-centered, digitally enabled, and economically aligned with value. When the work is redesigned, the workforce stabilizes. This necessary reconfiguration is not a trend; it is an inescapable reality.

In this episode Robin Fjellner & Dean Barker talk about pedagogical models in PE along with Dr. Lars Bjørke who is an associate professor at University of Inland Norway. They start by mentioning how they got to know models and then go into different aspects such as how models may be used and what models become relevant from a didaktik perspective.A truly Scandinavian analysis of models!

Send us a textIn our latest WTR Flashcast, host Tim Gerdeman and technology analyst James Kisner break down Water Tower Research's initiation of coverage on C3 AI (NYSE: AI). They explore how C3 serves as an "enterprise AI operating layer" that sits above cloud providers and foundation models, helping large organizations connect AI capabilities to their internal data and workflows. The discussion covers C3's recent financial reset and leadership transition, the growing importance of federal government customers, and how generative and agentic AI are becoming the front door into the platform. James also walks through why C3 has become a credible acquisition candidate for strategic buyers like Microsoft or IBM. 

Is 2026 the year society finally pushes back against artificial intelligence? In this year's final episode, Paul Roetzer and Mike Kaput explore the immediate future of AGI, analyzing Demis Hassabis's warning of a shift ten times larger than the Industrial Revolution and Shane Legg's prediction of human-level intelligence by 2028. The hosts break down critical developments, including Google's Gemini 3 Flash, OpenAI's staggering valuation talks, and the rise of world models that simulate physical reality.  Show Notes: Access the show notes and show links here Click here to take this week's AI Pulse. Timestamps: 00:00:00 — Intro 00:03:27 — AI Pulse 00:07:05 — AI Trends to Watch in 2026 00:31:59 — Demis Hassabis on the Future of Intelligence 00:42:35 — DeepMind Co-Founder on the Arrival of AGI 00:47:53 — Are AI Job Fears Overblown? 00:56:05 — Gemini 3 Flash 00:59:38 — OpenAI Eyes Billions in Fresh Funding 01:02:19 — OpenAI Releases New ChatGPT Images 01:04:18 — Karen Hao Issues AI Book Correction 01:08:18 — AI Keeps Getting Political (Roundup) 01:12:51 — AI World Models 01:17:31 — US Government Launches Tech Force This episode is brought to you by AI Academy by SmarterX. AI Academy is your gateway to personalized AI learning for professionals and teams. Discover our new on-demand courses, live classes, certifications, and a smarter way to master AI. You can get $100 off an individual purchase or a membership by using code POD100 at academy.smarterx.ai. Visit our website Receive our weekly newsletter Join our community: Slack LinkedIn Twitter Instagram Facebook Looking for content and resources? Register for a free webinar Come to our next Marketing AI Conference Enroll in our AI Academy 

What if the next leap in artificial intelligence isn't about better language—but better understanding of space?In this episode, a16z General Partner Erik Torenberg moderates a conversation with Fei-Fei Li, cofounder and CEO of World Labs, and a16z General Partner Martin Casado, an early investor in the company. Together, they dive into the concept of world models—AI systems that can understand and reason about the 3D, physical world, not just generate text.Often called the “godmother of AI,” Fei-Fei explains why spatial intelligence is a fundamental and still-missing piece of today's AI—and why she's building an entire company to solve it. Martin shares how he and Fei-Fei aligned on this vision long before it became fashionable, and why it could reshape the future of robotics, creativity, and computational interfaces.From the limits of LLMs to the promise of embodied intelligence, this conversation blends personal stories with deep technical insights—exploring what it really means to build AI that understands the real (and virtual) world.  Follow Fei-Fei Li:https://x.com/drfeifei Follow Martin Casado:https://x.com/martin_casado Stay Updated: If you enjoyed this episode, be sure to like, subscribe, and share with your friends!Find a16z on X: https://x.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zListen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYXListen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711Follow our host: https://x.com/eriktorenberg  Check out everything a16z is doing with artificial intelligence here, including articles, projects, and more podcasts. Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

*Get Shaan's 4 money rules that took him from broke to $25M by 30:* https://clickhubspot.com/wrg Episode 777: Shaan Puri ( ⁠https://x.com/ShaanVP⁠ ) talks to Chris Camillo ( https://x.com/ChrisCamillo ) about how he turned $20K into $60M using social arbitrage investing.  — Show Notes: (0:00) Intro (1:00) Turning $20K to $60M (5:30) Garage sale arbitrage (12:36) Observational investing (14:33) Bet: Beacon Roof (19:03) Bet: E.l.f (22:04) Trending on Twitter (29:00) Ticker Tags (31:55) Bet: Sphere in Las Vegas (36:48) Chris's first million (40:34) My biggest mistake (43:42) Bet: Palantir (46:58) Drawing down 40% of my net worth (51:49) $30M in one year (57:39) 2026 picks: Bloom Energy, Palantir, NVIDIA (1:02:06) Should regular people do this? (1:13:45) Bet: Private airfaire — Links: • Ticker Tags - https://ticker-tags.com/  • Dumb Money Live - https://www.youtube.com/@DumbMoneyLive  • Unknown Market Wizards - https://www.amazon.com/Market-Wizards-traders-youve-never/dp/0857198696  • Bloom -  https://www.bloomenergy.com/  — Check Out Shaan's Stuff: • Shaan's weekly email - https://www.shaanpuri.com  • Visit https://www.somewhere.com/mfm to hire worldwide talent like Shaan and get $500 off for being an MFM listener. Hire developers, assistants, marketing pros, sales teams and more for 80% less than US equivalents. • Mercury - Need a bank for your company? Go check out Mercury (mercury.com). Shaan uses it for all of his companies! Mercury is a financial technology company, not an FDIC-insured bank. Banking services provided by Choice Financial Group, Column, N.A., and Evolve Bank & Trust, Members FDIC — Check Out Sam's Stuff: • Hampton - https://www.joinhampton.com/ • Ideation Bootcamp - https://www.ideationbootcamp.co/ • Copy That - https://copythat.com • Hampton Wealth Survey - https://joinhampton.com/wealth • Sam's List - http://samslist.co/ My First Million is a HubSpot Original Podcast // Brought to you by HubSpot Media // Production by Arie Desormeaux // Editing by Ezra Bakker Trupiano //

Tots TURNT: We have an update on the final push for Tots TURNT. Shout outs to everyone that has donated. Corey's Angels Live: We must continue our watch of the best show on the Internet, Corey's Angels Live. This is a complete disaster. Special Guests: Fred Durst is in the building and Gerard McMahon, all the celebs! THE BEAR!, FUCK YOU, WATCH THIS!, THE KINKS!, FATHER CHRISTMAS!, SENTIENT NECK PUSSY!, AI!, ROAST!, TOTS TURNT!, DONATIONS!, SUPPORT!, COREY'S ANGELS LIVE!, COMMENTS!, CHAT!, SCROLLING!, DAISY DE LA HOYA!, HATERS!, TROLLS!, MODELS!, MERCH!, MONOLOGUE!, HOWARD STERN!, ROAST!, MICHAEL JACKSON!, SURGERY!, PHILIP SEYMOUR HOFFMAN!, LOVE OR POOP!, VOTES!, GRAPH!, GUY ON THE BOARDS!, TRYOUTS!, HATERS!, FRED DURST!, CRY LITTLE SISTER!, GERARD MCMAHON!, MICHAEL SCOTT!, SCUMBAG JOSH!, SUPERCHATS!, JAMESONANDJACK!, JUSTIN BIEBER!, PHILIP SEYMOUR HOFFMAN!, OVERDOSE!, BILL SHYTE!, FASHION SHOW!, ROCK OF LOVE!, DAISY OF LOVE!, SCIENCE!, BEANIE!, FISHERMAN HAT!, COOCOO!, AMERICA'S GOT TALENT!, BOOGIE DOWN!, PERFECT ENDING!  You can find the videos from this episode at our Discord RIGHT HERE!

Mental health is an important part of our overall health, but many people confront barriers that keep them from accessing the mental health care they need. A program in Boston aims to  address mental health disparities by disrupting traditional health care models. The Boston Emergency Services Team, or BEST, is led by Dr. David Henderson, chief of psychiatry at Boston Medical Center.  BEST brings together mental health providers, community resources, law enforcement, and the judicial system to deliver care to people in need of mental health services. Henderson says bringing mental health providers alongside police responding to calls for service for mental health needs has helped reduce the number of people with mental illness ending up in jails and prisons. “The criminal justice system has, by default, become one of the largest mental health systems … around the country as well,” Henderson says. “People with mental illness are in jails and prisons, at a percentage that they really should not be.” In a conversation that first published in 2024, Henderson speaks with Movement Is Life's Hadiya Green about what it takes to ensure people in need of mental health services get the help they need, why it's important to train providers to recognize unconscious biases, and what it means to provide trauma-informed and culturally sensitive care.

Most food founders think fundraising means perfecting your pitch deck. Angel investor Katie Dunn says you're starting in the wrong place.In our conversation, Katie breaks down the three fundamentals that actually get investors to meet with you, and say yes: understanding investor thesis (and why it saves you from wasting time), leveraging warm introductions instead of cold pitching, and building a financial model that shows exactly how you'll reach profitability.We cover the investment basics every founder needs to know—what a safe note actually is, why angels want equity, and whether regional brands can get funded (spoiler: yes, but with different deal structures). Katie also shares her strong recommendation on why your first hire should be finance, not marketing, and how to make it ridiculously easy for investors to want to help you.If you're considering fundraising or just want to understand how investment actually works in food CPG, this episode gives you the straight talk you need.Connect with Katie:Website: katiedunn.comAdvisory Board: The Masthead StrategyLinkedIn: Katie DunnInstagram: @iamkatiedunnTikTok: @iamkatiedunnJoin The Good Food CFO Community:Follow us on Instagram: @thegoodfoodcfoWatch on YouTube: @thegoodfoodcfo This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit thegoodfoodcfo.substack.com/subscribe

Amid the rise of billion-parameter models, I argue that toy models, with just a few neurons, remain essential—and may be all neuroscience needs.

Funding talks for OpenAI's $10B from Amazon progress. Models enhance search and recommendations. Cloud leaders collaborate.Get the top 40+ AI Models for $20 at AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustleSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

At the top of dirt late model racing, there are only a handful of major chassis players. But when you venture away from the big tours, there are others building, pushing things forward, and helping people go race. On this special episode of the Daily, Warrior Race Cars owner Mike Nuchols takes us inside racing at the local and regional level, talks the cost of late model racing, putting dirt late models in a wind tunnel, and a lot more.

Homily for the 4th Sunday of Advent (December 21, 2025) Total Time: 11m5s Homily Notes (AI) Click HERE

In this episode, Claire Souch is joined by Tom Philp, CEO of Maximum Information; James Lay, AVP of Product Management at Verisk; and Stephen Martin, Head of Catastrophe Modelling at Westfield Specialty, for a timely discussion on the future of catastrophe model evaluation, and why it's no longer enough to simply trust what's in the black box. As new specialist model vendors emerge and market expectations evolve, the panel unpacks a growing demand for transparency, interoperability and smarter ways to adopt models that fit real-world portfolios. At the heart of the conversation is a shared belief: the industry doesn't just need more models, it needs better ways to evaluate and use them. In this conversation, they explore: Why traditional model validation no longer meets the needs of modern risk teams The shift from 'black box' outputs to meaningful model evaluation that supports business decisions How tools from Maximum Information and Verisk's Model Exchange reduce the burden on small or lean teams The role of Oasis as a framework for opening up access across multiple model vendors Why standardisation and open data formats are essential for meaningful interoperability The growing role of niche vendors in reshaping perceptions of model transparency How automation is changing the regulatory and investor reporting game Why this is more than a tech upgrade—it's a cultural reset in catastrophe modelling Sign up to the InsTech newsletter for a fresh view on the world every Wednesday morning.

Late in the season, numbers lie. In this Week 16 episode, the Sharp Squares team breaks down how public perception, brand bias, and outdated assumptions distort the market. You'll hear why injuries, motivation, game environment, and late-season psychology matter more than raw power ratings, and how sharp consensus forms when multiple models point in the same direction. This episode focuses on process, not predictions. If you want to understand why certain lines stay inflated and how professionals think about mispriced games in December, this is the framework.

Have you ever wondered how to create structure for your distributed team — without taking away their flexibility? We often hear leaders ask how to balance business needs with employees' desire for autonomy. That's where Core Hours with Flexibility comes in: a distributed work model that allows everyone to work when they're at their best, while still ensuring there's dedicated time each day for real-time collaboration. Which is why on this episode of Inclusion in Progress, we're diving into one of the 12 distributed work models we've identified while working with remote and hybrid teams. This episode breaks down the Core Hours with Flexibility Model — which helps you align your team's schedules without forcing everyone back to the same rigid 9-to-5. We cover: How to set clear boundaries and expectations that empower teams to manage their time effectively What to consider before adopting the Core Hours with Flexibility Model for your distributed workforce The biggest challenges of implementing this model — and how to maintain fairness across time zones We'll be breaking down the rest of all of these work models on future episodes, so subscribe to the podcast to make sure you don't miss out! And if you're a People or HR leader who wants a more detailed breakdown of the 12 distributed work models (and an easy framework to decide which works best for your organization)... Download a copy of our Distributed Work Success Playbook today! TIMESTAMPS: [02:36] How the Core Hours with Flexibility Model improves coordination while giving employees the flexibility to manage their own schedules. [03:38] What are some of the key principles to applying core hours with flexibility in your workplace? [04:56] What are some of the most common challenges for this Distributed Work Model? [05:41] How to know if the Core Hours with Flexibility Model is best fit for your organization? LINKS: info@inclusioninprogress.com www.inclusioninprogress.com/podcast www.linkedin.com/company/inclusion-in-progress  Download our Distributed Work Models Playbook to learn how to find the distributed work model that enables your teams to perform at their best. To learn more about Help Scout's distributed work strategy, check out Episode 137 Distributed Work Experts: Lessons from Help Scout. Want us to partner with you on finding your best-fit hybrid work strategy? Get in touch to learn how we can tailor our services to your company's DEI and remote work initiatives. Subscribe to the Inclusion in Progress Podcast on Apple Podcasts or Spotify to get notified when new episodes come out! Learn how to leave a review for the podcast.

If you're in the SEO industry, you know Darren Shaw and his company, Whitespark.If you're not... well you're still in for a good episode as we barely even talk about SEO!We go deep into how Darren is able to run a 7-figure agency and equally sized SaaS that is well recognized in the SEO industry. On top of that, we talk about he's still able to find the time to remain a subject matter expert in the SEO field, make all these YouTube videos, build winning teams, vibe code new SaaS products, and maintain his personal brand.Darren is everywhere all the time and still running a more successful business than we are... how?Check out Whitespark at https://whitespark.ca and follow Darren and Whitespark on all the social medias:https://www.linkedin.com/in/darrenshawwhitespark/https://www.facebook.com/darrenshawseohttps://www.youtube.com/@WhitesparkCa-----SPONSOR: Tiiny HostThis week's episode is sponsored by Tiiny Host. Use code "grow" and get 50% OFF your first month of a Pro or Pro Max plan at https://tinyhost.com/agencies.-----JOIN THE FREE DISCORDhttps://discord.gg/uvHRRRFVRDOur recommended agency tools:everbrospodcast.com/recommended-tools/----------------------------------⭐⭐⭐⭐⭐As always, if you enjoyed this episode or this podcast in general and want to leave us a review or rating, head over to Apple and let us know what you like! It helps us get found and motivates us to keep producing this free content.----------------------------------Want to connect with us? Reach out to us on the everbrospodcast.com website, subscribe to us on YouTube, or connect with us on socials:YouTube: @agencygrowthpodcastTwitter/X: @theagency_uLinkedIn: linkedin.com/company/agencypodcastFacebook: facebook.com/theagencyuInstagram: @theagencyuReddit: r/agency & u/JakeHundleyTikTok: @agency.u

In our latest episode, Deputy Editor Dr. Zam Kassiri (University of Alberta) interviews authors Dr. German González (Pontificia Universidad Católica Argentina), Dr. Rebecca Ritchie (Monash University), Dr. Pooneh Bagher (University of Nebraska Medical Center), and Dr. Hiroe Toba (Kyoto Pharmaceutical University) about the latest Guidelines in Cardiovascular Research article by Sveeggen et al. that helps researchers tackle the sources of variability in experimental models of diet-induced cardiometabolic syndrome. This podcast is a must-listen for any researcher using a diet-induced food model of disease. The authors discuss different food composition with details about type and source of fat and macronutrients, as well as environmental factors that can influence metabolic outcomes. These guidelines serve as a framework for researchers to optimize dietary interventions in cardiometabolic syndrome models and improve the predictive value of preclinical findings for translational applications. Listen now to hear more, including bonus multi-language summaries in both Spanish and Japanese.   Timothy M. Sveeggen, Pooneh Bagher, Hiroe Toba, Merry L. Lindsey, Rebecca H. Ritchie, Verónica J. Miksztowicz, and Germán E. González Guidelines for diet-induced models of cardiometabolic syndrome Am J Physiol Heart Circ Physiol, published October 7, 2025. DOI: 10.1152/ajpheart.00359.2025

Show Highlights Include: 00:00 – Introduction & Why These Topics MatterFrank and Stacey explain why this episode focuses on the six themes that got the most traction from advisors in 2025.03:28 – Data as an Asset and Its Impact on ValuationWhy CRM, data quality, and accessibility now play a major role in how buyers evaluate advisory firms.08:10 – Industry Consolidation and the LPL - Commonwealth Ripple EffectHow major M&A deals are reshaping recruiting packages, advisor leverage, and firm competition.13:56 – Staying in the Driver's Seat During AcquisitionsWhy advisors should evaluate whether they would still choose their firm if given a clean slate.17:04 – W-2 Models, Independence, and the “Swimming Upstream” TrendThe rise of independent W-2 structures and why some advisors are moving back toward them.21:51 – Deal Evolution, Multiples, and Private Equity Reality ChecksWhat advisors need to understand about headline multiples, deal structures, and long-term control.31:16 – From Practitioner to EntrepreneurThe mindset shift required to build scalable, enterprise-level advisory businesses.36:37 – Marketing, Video, and the Cost of InactionWhy visibility, authenticity, and decisive action are no longer optional for growth-focused advisors.This episode is a practical, candid look at where the industry is today - and what advisors should be thinking about as they plan their next move.Learn more about our companies and resources:-Elite Consulting Partners | Financial Advisor Transitions:https://eliteconsultingpartners.com-Elite Marketing Concepts | Marketing Services for Financial Advisors:https://elitemarketingconcepts.com-Elite Advisor Successions | Advisor Mergers and Acquisitions:https://eliteadvisorsuccessions.com-JEDI Database Solutions | Technology Solutions for Advisors:https://jedidatabasesolutions.comListen to more Advisor Talk episodes:https://eliteconsultingpartners.com/podcasts/

“Models are still the bread and butter in gravity and magnetics interpretation. Interpreters still have to condition the data properly, and that's half technical, half art.” Betty Johnson shares how her early career in gravity and magnetics grew from curiosity, hands‑on learning, and rapidly changing technology. She explains how potential field methods remain valuable for addressing energy, water, and climate challenges because they are affordable, scalable, and deeply rooted in Earth's history. Her reflections underscore the importance of high-quality data, solid fundamentals, and ongoing learning. KEY TAKEAWAYS > Gravity and magnetics remain essential because they are cost‑effective, scalable, and useful across many energy and environmental applications. > Strong fundamentals in physics, geology, and modeling help interpreters make better decisions and collaborate across disciplines. > Good data, field experience, and continuous learning are critical for building a long and impactful geophysics career. LINKS * Read "The Meter Reader—The tools of the trade in gravity and magnetics, 1978–1988" at https://doi.org/10.1190/tle44090738.1 * Elizabeth A. Johnson, "Gravity and magnetic analyses can address various petroleum issues" at https://doi.org/10.1190/1.1437844 * Elizabeth A. E. Johnson, "Use higher resolution gravity and magnetic data as your resource evaluation progresses" at https://doi.org/10.1190/1.1437846 THIS EPISODE SPONSORED BY STRYDE STRYDE enables high-resolution subsurface imaging that helps emerging sectors such as CCS, hydrogen, geothermal, and minerals de-risk and accelerate exploration - delivered through the industry's fastest, most cost-efficient, and agile seismic solution. Discover more about STRYDE at https://stryde.io/what-we-do.

How do you tackle deforestation and climate change while strengthening local economies? What's the role of trees in securing food, water, and livelihoods? And what if environmental nonprofits acted more like sales organizations, with scalable, partner-driven models?In this episode of Associations Thrive, host Joanna Pineda interviews Hank Dearden, Executive Director of ForestPlanet. Hank discusses:How ForestPlanet plants high volumes of trees at very low cost through partnerships with local NGOs.Why ForestPlanet emphasizes community-led initiatives, vetting, and supporting tree-planting organizations in developing countries.How planting trees revitalizes soil, retains water, and improves food and income security.The role of agroforestry and permaculture in transforming degraded land into sustainable ecosystems.Why tree planting is “the catalyst” in a larger chain of environmental and economic benefits.The critical relationship between upstream tree planting and downstream mangrove restoration and fish population health.How ForestPlanet works with corporate partners to plant trees for every product sold. These partnerships benefit ForestPlanet, local communities AND the corporations.References:ForestPlanet WebsiteSupport ForestPlanetThe Hidden Life of Trees, by Peter WohllebenMusic from #Uppbeat (free for Creators!):https://uppbeat.io/t/zoo/clarityLicense code: RQWZMZXYSBVT16ZW

Continuing our examination of AI in 1000 days, we discuss the use of finely tuned small language models for highly specific use cases.

In this episode of the Real Life Theology podcast, the discussion centers around the implementation of disciple-making movements within and alongside established church structures. The hosts weigh the pros and cons of running parallel disciple-making initiatives either under a single church umbrella or as independent entities. They highlight the importance of aligning church vision with biblical examples and modern pathways, emphasizing swift transition from being found by Christ to becoming a leader. The conversation also covers practical steps for churches to adopt these principles, including training programs and cohorts designed to foster rapid disciple multiplication. The episode underscores the need for a strategic commitment to God's broader vision for community transformation. Join RENEW.org's Newsletter: https://renew.org/resources/newsletter-sign-up/ Get our Premium podcast feed featuring all the breakout sessions from the RENEW gathering early.  https://reallifetheologypodcast.supercast.com/  Join RENEW.org at one of our upcoming events: https://renew.org/resources/events/

Jason Calacanis is the host of the All-In Podcast, This Week in Startups, co-founder of the Launch Accelerator, and the “3rd or 4th investor in uber”.We go inside the origins of All-In, how they decide what to talk about each week, and if Jason thinks it helped swing the election.We also talk lesson from starting 7 media companies over the past three decades, what he's learned from studying the world's best interviewers, joining Sequoia's first scout program, his investing strategy at Launch, the story of being the “3rd or 4th investor in Uber", what people underestimate about Elon, and what it was like inside the Twitter buyout in 2022.Thank you to Austin Petersmith for helping brainstorming topics for the conversation.Thanks to Numeral for supporting this episode. It's the end-to-end platform for sales tax and compliance. Try it here: ⁠https://www.numeral.com⁠Timestamps:(3:34) Interviewing lessons from Oprah, Charlie Rose(6:48) How to ask good questions(12:20) Jason's favorite upcoming podcasters(17:57) Starting 7 media companies(22:50) How he'd start a new media company today(27:56) In-person experiences, “Bang Bang” in Japan(32:44) Vinyl bars, smartphones, mental health(38:41) Origin of the All-In Podcast(42:58) All-In's influence on the 2024 Election(46:58) Why All-In got so political(52:35) Media lessons from Trump(55:01) Joining Sequoia's very first scout program(57:55) Jason's VC investing strategy(1:03:55) How Launch competes with other accelerators(1:08:46) Fundraising is a numbers game(1:13:06) Investing in Uber and Robinhood Seed rounds(1:18:31) Origin of “3rd or 4th investor in Uber” meme(1:20:57) How Jason got the first Model S(1:26:19) What people underestimate about Elon(1:27:37) Inside the Twitter takeover(1:31:44) Career advice for young people(1:35:22) Jason's experience taking GLP-1's(1:40:05) How All-in picks topics each weekReferencedHowie: ⁠https://howie.com/⁠All-In Podcast: ⁠https://allin.com/⁠Bret Easton Ellis (Podcast): ⁠https://www.breteastonellis.com/podcast⁠Red Scare (Podcast): ⁠https://en.wikipedia.org/wiki/Red_Scare_(podcast)⁠Preet Berrara (Podcast): ⁠https://cafe.com/stay-tuned-podcast/⁠Adam Friedland Show: ⁠https://www.youtube.com/c/TheAdamFriedlandShow⁠The Insider (Movie): ⁠https://www.imdb.com/title/tt0140352/⁠Launch: ⁠https://www.launch.co/⁠Ro: ⁠https://ro.co/⁠Follow JasonTwitter: ⁠https://twitter.com/Jason⁠LinkedIn: ⁠https://www.linkedin.com/in/jasoncalacanis/⁠Follow TurnerTwitter: ⁠https://twitter.com/TurnerNovak⁠LinkedIn: ⁠https://www.linkedin.com/in/turnernovak⁠Subscribe to my newsletter to get every episode + the transcript in your inbox every week: ⁠https://www.thespl.it

PREVIEW: General Blaine Holt warns that military war games frequently escalate toward nuclear conflict, a tendency that integrating artificial intelligence might accelerate rather than mitigate. He argues that current models often lead to "civilization consequences," necessitating new simulation constructs focused on de-escalation despite aggressive geopolitical rhetoric.

For Dr. Zak Kohane, this year's advances in AI weren't abstract. They were personal, practical, and deeply tied to care. After decades studying clinical data and diagnostic uncertainty, he finds himself building his own EHR, reviewing his child's imaging with AI, and re-thinking the balance between incidental and missed findings. Across each story is the same insight: clinicians and machines make mistakes for different reasons — and understanding those differences is essential for safe deployment. In this episode, Zak also highlights where AI is spreading fastest, and why: reimbursement. While dermatology and radiology aren't broadly using AI for interpretation, revenue-cycle optimization is advancing rapidly. Meanwhile, ambient documentation has exploded — not because it increases accuracy or throughput, but because it improves clinician satisfaction in strained systems. Yet the most profound theme, he argues, is values. Models already show implicit preferences: some conservative, some aggressive. And unlike human clinicians, no regulatory framework examines how those preferences form. Zak calls for a new form of oversight that centers patients, recognizes bias, and bridges clinical expertise with technical transparency. Transcript.

This week on Catalyst Tammy speaks with Namee Oberst, co-founder of LLMWare about her unique journey into AI. Namee spent years as a corporate attorney and is now developing small language models for legal and financial organizations. She's solving for the pain points that she experienced for years. Namee and Tammy discuss the importance of small language models in building trust and touch on the future of legal work in an AI-driven world. Please note that the views expressed may not necessarily be those of NTT DATALinks: Namee Oberst LLMWareLearn more about Launch by NTT DATASee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

The Clubhouse model is proving that community and purpose can transform lives for people with serious mental illness. In this episode, Josh Seidman, Chief External Impact Officer for Fountain House, explores how the organization pioneered the Clubhouse model, a psychosocial rehabilitation approach built on community, partnership, and purpose rather than clinical hierarchies. Since its start in 1948, the model has expanded to 380 Clubhouses in 33 countries, helping members rebuild their lives through work, education, and connection. Data show that Clubhouse members experience higher employment, better housing, and reduced loneliness, while the model lowers Medicaid costs by 21%, saving society over $11,000 per person each year. Seidman also highlights participatory research projects like Measures That Matter and the Fountain House United Research Network (FHURN), which empower members to shape meaningful metrics and improve quality outcomes. Tune in and learn how community-driven innovation and lived experience are reshaping the future of behavioral health care! Resources: Connect with and follow Josh Seidman on LinkedIn. Follow Fountain House on LinkedIn and explore their website. If you want to find a clubhouse, visit the Clubhouse International website.

Mike & Tommy dive into 1-Click Notebooks, exploring how to start using them and the various customizations available. They discuss why these notebooks are essential for enhancing your Power BI experience, aiming to provide practical tips for effective implementation.https://learn.microsoft.com/en-us/power-bi/transform-model/service-notebookshttps://powerbi.microsoft.com/en-us/blog/deep-dive-into-using-notebooks-with-your-semantic-model-preview/Get in touch:Send in your questions or topics you want us to discuss by tweeting to @PowerBITips with the hashtag #empMailbag or submit on the PowerBI.tips Podcast Page.Visit PowerBI.tips: https://powerbi.tips/Watch the episodes live every Tuesday and Thursday morning at 730am CST on YouTube: https://www.youtube.com/powerbitipsSubscribe on Spotify: https://open.spotify.com/show/230fp78XmHHRXTiYICRLVvSubscribe on Apple: https://podcasts.apple.com/us/podcast/explicit-measures-podcast/id1568944083‎Check Out Community Jam: https://jam.powerbi.tipsFollow Mike: https://www.linkedin.com/in/michaelcarlo/Follow Tommy: https://www.linkedin.com/in/tommypuglia/

Are we witnessing an AI-fueled gold rush or the early signs of an epic crash? Listen to these hard-hitting discussions on bubbles, breakthroughs, and the real impact behind Silicon Valley's AI obsession. Time Magazine's 'Person of the Year': the Architects of AI The AI Wildfire Is Coming. It's Going to Be Very Painful and Incredibly Healthy. 'ChatGPT for Doctors' Startup Doubles Valuation to $12 Billion as Revenue Surges Trump Pretends To Block State AI Laws; Media Pretends That's Legal It's beginning to look a lot like (AI) Christmas Amazon Prime Video Pulls AI-Powered Recaps After Fallout Flub Could America win the AI race but lose the war? Google Says First AI Glasses With Gemini Will Arrive in 2026 Border Patrol Agent Recorded Raid with Meta's Ray-Ban Smart Glasses The countdown to the world's first social media ban for children US could demand five-year social media history from tourists before allowing entry Reddit making global changes to protect kids after social media ban - 9to5Mac There are no good outcomes for the Warner Bros. sale Paramount CEO Made Trump a Secret Promise on CNN in Warner Bros. Convo Whatnot's Schlock Empire Shows Digital Live Shopping Can Thrive in America The Military Almost Got the Right to Repair. Lawmakers Just Took It Away Apple loses its appeal of a scathing contempt ruling in iOS payments case Japan law opening phone app stores to go into effect Microsoft Excel Turns 40, Remains Stubbornly Unkillable - Slashdot Clair Obscur: Expedition 33 sweeps The Game Awards — analysis and full winners list Microsoft promises more bug payouts, with or without a bounty program An ex-Twitter lawyer is trying to bring Twitter back Host: Leo Laporte Guests: Iain Thomson, Owen Thomas, and Jason Hiner Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: shopify.com/twit NetSuite.com/TWIT ventionteams.com/twit zscaler.com/security helixsleep.com/twit

AI models feel smarter than their real-world impact. They ace benchmarks, yet still struggle with reliability, strange bugs, and shallow generalization. Why is there such a gap between what they can do on paper and in practiceIn this episode from The Dwarkesh Podcast, Dwarkesh talks with Ilya Sutskever, cofounder of SSI and former OpenAI chief scientist, about what is actually blocking progress toward AGI. They explore why RL and pretraining scale so differently, why models outperform on evals but underperform in real use, and why human style generalization remains far ahead.Ilya also discusses value functions, emotions as a built-in reward system, the limits of pretraining, continual learning, superintelligence, and what an AI driven economy could look like. Resources:Transcript: https://www.dwarkesh.com/p/ilya-sutsk...Apple Podcasts: https://podcasts.apple.com/us/podcast...Spotify: https://open.spotify.com/episode/7naO... Stay Updated:If you enjoyed this episode, be sure to like, subscribe, and share with your friends!Find a16z on X: https://x.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zListen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYXListen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711Follow our host: https://x.com/eriktorenbergPlease note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures](http://a16z.com/disclosures.  Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Donna Farhi returns to talk with J about conscious pedagogic models that foster independence and moving towards grounded sensitivity. They discuss homesteading and the contrast between natural and digital worlds, recovering from a fractured pelvis, meaning of pedagogy, baking bread, horizontal communication, checks and balances, contraction in the industry, being relevant to the times, ground rules and agreements, sticking with the word yoga, fitness and perfected bodies, post-pandemic landscapes, and evolving into the future.   To subscribe and support the show… GET PREMIUM. Say thank you - buy J a coffee. Check out J's other podcast… J. BROWN YOGA THOUGHTS.    

Are we witnessing an AI-fueled gold rush or the early signs of an epic crash? Listen to these hard-hitting discussions on bubbles, breakthroughs, and the real impact behind Silicon Valley's AI obsession. Time Magazine's 'Person of the Year': the Architects of AI The AI Wildfire Is Coming. It's Going to Be Very Painful and Incredibly Healthy. 'ChatGPT for Doctors' Startup Doubles Valuation to $12 Billion as Revenue Surges Trump Pretends To Block State AI Laws; Media Pretends That's Legal It's beginning to look a lot like (AI) Christmas Amazon Prime Video Pulls AI-Powered Recaps After Fallout Flub Could America win the AI race but lose the war? Google Says First AI Glasses With Gemini Will Arrive in 2026 Border Patrol Agent Recorded Raid with Meta's Ray-Ban Smart Glasses The countdown to the world's first social media ban for children US could demand five-year social media history from tourists before allowing entry Reddit making global changes to protect kids after social media ban - 9to5Mac There are no good outcomes for the Warner Bros. sale Paramount CEO Made Trump a Secret Promise on CNN in Warner Bros. Convo Whatnot's Schlock Empire Shows Digital Live Shopping Can Thrive in America The Military Almost Got the Right to Repair. Lawmakers Just Took It Away Apple loses its appeal of a scathing contempt ruling in iOS payments case Japan law opening phone app stores to go into effect Microsoft Excel Turns 40, Remains Stubbornly Unkillable - Slashdot Clair Obscur: Expedition 33 sweeps The Game Awards — analysis and full winners list Microsoft promises more bug payouts, with or without a bounty program An ex-Twitter lawyer is trying to bring Twitter back Host: Leo Laporte Guests: Iain Thomson, Owen Thomas, and Jason Hiner Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: shopify.com/twit NetSuite.com/TWIT ventionteams.com/twit zscaler.com/security helixsleep.com/twit