🇺🇸 United States Episodes

Lily Yeh calls herself a barefoot artist: she travels the world with a suitcase full of art supplies, working with whoever wants to join her. In an inspiring talk, she shares the fruits of her collaborative art projects that bring color, community and beauty to public spaces often seen as “broken." Hosted on Acast. See acast.com/privacy for more information.

The stories that defined 2025, the themes to watch in 2026. Ryan Knutson and Jessica Mendoza hear from top editors across the paper. Plus, Ryan's bold proposal to switch Christmas and Valentine's Day.Thanks for listening to the show in 2025. We’ll see you in 2026! Listen to Ryan and Jess’s playlist of their Greatest Hits of 2025. Learn more about your ad choices. Visit megaphone.fm/adchoices

As 2025 comes to a close, consumer AI is entering a new phase. A small number of products now dominate everyday use, multimodal models have unlocked entirely new creative workflows, and the big labs have pushed aggressively into consumer experiences. At the same time, it is becoming clearer which ideas actually changed user behavior and which ones did not. In this episode, a16z consumer investors Anish Acharya, Olivia Moore, Justine Moore, and Bryan Kim look back at the biggest product and model shifts of 2025 and then look ahead to what 2026 may bring. They discuss why consumer AI appears to be trending toward winner-take-most, how subtle product design choices can matter more than raw model quality, and why templates, multimodality, and distribution are shaping the next wave of consumer products. Where do startups still have room to win? How will the role of the big labs continue to change? And what will it actually take for consumer AI apps to break out at scale in 2026?

Connor Beaton is a men’s life coach, founder of ManTalks and an author focusing on men’s wellness and personal growth. Why do so many men struggle with their own inner world? Many grow up believing they must handle life alone, stay tough, and hide their emotions. What helps men become emotionally stable, and how can they learn to work through challenges in healthier, more honest ways? Expect to learn why so many high-functioning men self-destruct in private, why so many men feel “emotionally safe” at work but not at home, the most misunderstood thing about men’s emotional life, what’s an addiction that doesn’t look like addiction, but absolutely behaves like one is, how men can build their self-worth, the traits of an emotionally safe man, why there is a trend to desexualise your brain and much more… Sponsors: See discounts for all the products I use and recommend: https://chriswillx.com/deals Get 35% off your first subscription on the best supplements from Momentous at https://livemomentous.com/modernwisdom Get a Free Sample Pack of LMNT’s most popular flavours with your first purchase at https://drinklmnt.com/modernwisdom New pricing since recording: Function is now just $365, plus get $25 off at https://functionhealth.com/modernwisdom Get a free bottle of D3K2, a Welcome Kit, Travel Packs, plus bonus gifts (US only) when you first subscribe at https://ag1.info/modernwisdom Extra Stuff: Get my free reading list of 100 books to read before you die: https://chriswillx.com/books Try my productivity energy drink Neutonic: https://neutonic.com/modernwisdom Episodes You Might Enjoy: #577 - David Goggins - This Is How To Master Your Life: https://tinyurl.com/43hv6y59 #712 - Dr Jordan Peterson - How To Destroy Your Negative Beliefs: https://tinyurl.com/2rtz7avf #700 - Dr Andrew Huberman - The Secret Tools To Hack Your Brain: https://tinyurl.com/3ccn5vkp - Get In Touch: Instagram: https://www.instagram.com/chriswillx Twitter: https://www.twitter.com/chriswillx YouTube: https://www.youtube.com/modernwisdompodcast Email: https://chriswillx.com/contact - Learn more about your ad choices. Visit megaphone.fm/adchoices

Terry Real is a therapist and best-selling author expert on male emotional health and how men can build the skills for healthy relating to others: in relationships, work, friendships and to themselves. We discuss how mixed and ever-changing messages about what masculinity is are impacting the mental and physical health of men and boys. Terry explains how learning the skill of "relationality" leads to improvements in all aspects of boys' and men's lives and shares practical tools for how to do that. We also discuss the essential role of having a close male community to build confidence and self-esteem. This conversation offers actionable guidance for boys, men and women seeking to build healthier relationships with themselves and others. Read the episode show notes at hubermanlab.com. Thank you to our sponsors AG1: https://drinkag1.com/huberman BetterHelp: https://betterhelp.com/huberman David: https://davidprotein.com/huberman Function: https://functionhealth.com/huberman Waking Up: https://wakingup.com/huberman Timestamps (00:00:00) Terry Real (00:02:53) Men & Masculinity, Political vs Psychological Patriarchy, Feminism (00:07:39) Stoicism, Vulnerability, Traditional Masculinity, Emotions (00:10:50) Sponsors: BetterHelp & David (00:13:14) Masculinity Across Decades, Giving; Gratification vs Relational Joy (00:21:54) Healthy Emotional Expression, Connection & Vulnerability; Self-Esteem (00:31:17) Feeling Emotions, Tools: Asking For Help; Fights & "What Do You Need?" (00:35:10) Self-Esteem & Relationship Accountability; Criticism, Redefining Strength (00:40:47) Sponsor: AG1 (00:42:32) Healthy Criticism, Tool: Women & Articulating Needs (00:50:21) Childlike Behavior, Wise Adult & Trauma, Tool: Relational Mindfulness (00:58:11) Tool: Responsible Distance Taking; Self-Interest; Relationship "Biosphere" (01:08:14) Alcohol, Men & Friends, Loneliness, Men's Retreat (01:17:51) Fraternities, Men's Groups, Tool: Relationship vs Individual Support (01:25:39) Sponsor: Function (01:27:27) Lack of Male Friends, Hiking, Community, Teaching Young Men (01:36:11) Cannabis, Alcohol, Young Men & Purpose, Flexibility & Manliness (01:40:40) Work, Life Purpose & Men; Skillful Warriors (01:45:01) Absent Fathers; Early Childhood & Proper Nurturing; Caretaking (01:53:24) Sponsor: Waking Up (01:54:47) Women & Speaking Relationally, Objectivity Battle (01:59:02) Addiction & Disconnection, 12-Step Meetings & Fellowship (02:08:04) Pornography, Internet, Intensity vs Intimacy; Optimization (02:11:57) Tool: Families & Hanging Out; Relational Joy; Relational Recovery (02:22:29) Giving Criticism, Tools: Make Requests; Feedback Wheel (02:28:21) Gratitude, Aging; Skillful Fighting in Relationship & Repair (02:34:17) Men & Self-Esteem, Mentors, Tool: Inner Dialogue without Harshness (02:44:00) Y Chromosome, Wholeness (02:48:00) Zero-Cost Support, YouTube, Spotify & Apple Follow, Reviews & Feedback, Sponsors, Protocols Book, Social Media, Neural Network Newsletter Disclaimer & Disclosures Learn more about your ad choices. Visit megaphone.fm/adchoices

Join us for a hero’s journey with the great Macaulay Culkin. Find your light, hit your marks, systematically sabotage the Wet Bandits. It’s Magic v. Sexy v. Naughty… on an all-new SmartLess.

The one animal we can’t seem to live without, even when we really, really want to. Visit thisamericanlife.org/lifepartners to sign up for our premium subscriptionPrologue: At the announcement of New York City’s inaugural rat czar, we meet Darneice Foster, who despises the rats outside her apartment. And host Ira Glass introduces two special co-hosts for today’s show. (11 minutes)Act One: Producer Elna Baker meets Todd Sklar, a man who can’t quit rats. (22 minutes)Act Two: Fifty years ago, New York City started to put garbage out in plastic bags. This has become the number one food source for rats. Producer Ike Sriskandarajah investigates the decision that led to the city’s rat baby boom. (10 minutes)Act Three: How did Alberta, Canada pull off a feat that has eluded the rest of human civilization? Ira visits the largest rat-less land in the world. (15 minutes)Act Four: We drop a hot mic into a hot mess of a rats’ nest. You’ll never believe what happens next. (3 minutes)Transcripts are available at thisamericanlife.orgThis American Life privacy policy.Learn more about sponsor message choices.

Remember those fun high school superlatives like the “Class Clown” or the “Biggest Flirt”? In this special How to Be a Better Human season finale, you will be hearing from our previous guest Dallas Youth Poet Laureate Naisha Randhar and our team of editors, marketers, producers, fact-checkers and more on their favorite episodes this year. How to Be a Better Human 2025 SuperlativesMost Likely to Make You Rethink Your Place in the WorldMost Inspiring StoryMost Likely to Make You Feel Your FeelsBest Motivator Most Likely to Improve Your Life TomorrowBiggest Perspective ShifterMost Shared Tidbit Hosted on Acast. See acast.com/privacy for more information.

Also: is shortsightedness part of human nature? This episode originally aired on May 30th, 2021.

One year ago, Anthropic launched the Model Context Protocol (MCP)—a simple, open standard to connect AI applications to the data and tools they need. Today, MCP has exploded from a local-only experiment into the de facto protocol for agentic systems, adopted by OpenAI, Microsoft, Google, Block, and hundreds of enterprises building internal agents at scale. And now, MCP is joining the newly formed Agentic AI Foundation (AAIF) under the Linux Foundation, alongside Block's Goose coding agent, with founding members spanning the biggest names in AI and cloud infrastructure. We sat down with David Soria Parra (MCP lead, Anthropic), Nick Cooper (OpenAI), Brad Howes (Block / Goose), and Jim Zemlin (Linux Foundation CEO) to dig into the one-year journey of MCP—from Thanksgiving hacking sessions and the first remote authentication spec to long-running tasks, MCP Apps, and the rise of agent-to-agent communication—and the behind-the-scenes story of how three competitive AI labs came together to donate their protocols and agents to a neutral foundation, why enterprises are deploying MCP servers faster than anyone expected (most of it invisible, internal, and at massive scale), what it takes to design a protocol that works for both simple tool calls and complex multi-agent orchestration, how the foundation will balance taste-making (curating meaningful projects) with openness (avoiding vendor lock-in), and the 2025 vision: MCP as the communication layer for asynchronous, long-running agents that work while you sleep, discover and install their own tools, and unlock the next order of magnitude in AI productivity. We discuss: The one-year MCP journey: from local stdio servers to remote HTTP streaming, OAuth 2.1 authentication (and the enterprise lessons learned), long-running tasks, and MCP Apps (iframes for richer UI) Why MCP adoption is exploding internally at enterprises: invisible, internal servers connecting agents to Slack, Linear, proprietary data, and compliance-heavy workflows (financial services, healthcare) The authentication evolution: separating resource servers from identity providers, dynamic client registration, and why the March spec wasn't enterprise-ready (and how June fixed it) How Anthropic dogfoods MCP: internal gateway, custom servers for Slack summaries and employee surveys, and why MCP was born from "how do I scale dev tooling faster than the company grows?" Tasks: the new primitive for long-running, asynchronous agent operations—why tools aren't enough, how tasks enable deep research and agent-to-agent handoffs, and the design choice to make tasks a "container" (not just async tools) MCP Apps: why iframes, how to handle styles and branding, seat selection and shopping UIs as the killer use case, and the collaboration with OpenAI to build a common standard The registry problem: official registry vs. curated sub-registries (Smithery, GitHub), trust levels, model-driven discovery, and why MCP needs "npm for agents" (but with signatures and HIPAA/financial compliance) The founding story of AAIF: how Anthropic, OpenAI, and Block came together (spoiler: they didn't know each other were talking to Linux Foundation), why neutrality matters, and how Jim Zemlin has never seen this much day-one inbound interest in 22 years — David Soria Parra (Anthropic / MCP) MCP: https://modelcontextprotocol.io https://uk.linkedin.com/in/david-soria-parra-4a78b3a https://x.com/dsp_ Nick Cooper (OpenAI) X: https://x.com/nicoaicopr Brad Howes (Block / Goose) Goose: https://github.com/block/goose Jim Zemlin (Linux Foundation) LinkedIn: https://www.linkedin.com/in/zemlin/ Agentic AI Foundation https://agenticai.foundation Chapters 00:00:00 Introduction: MCP's First Year and Foundation Launch 00:01:17 MCP's Journey: From Launch to Industry Standard 00:02:06 Protocol Evolution: Remote Servers and Authentication 00:08:52 Enterprise Authentication and Financial Services 00:11:42 Transport Layer Challenges: HTTP Streaming and Scalability 00:15:37 Standards Development: Collaboration with Tech Giants 00:34:27 Long-Running Tasks: The Future of Async Agents 00:30:41 Discovery and Registries: Building the MCP Ecosystem 00:30:54 MCP Apps and UI: Beyond Text Interfaces 00:26:55 Internal Adoption: How Anthropic Uses MCP 00:23:15 Skills vs MCP: Complementary Not Competing 00:36:16 Community Events and Enterprise Learnings 01:03:31 Foundation Formation: Why Now and Why Together 01:07:38 Linux Foundation Partnership: Structure and Governance 01:11:13 Goose as Reference Implementation 01:17:28 Principles Over Roadmaps: Composability and Quality 01:21:02 Foundation Value Proposition: Why Contribute 01:27:49 Practical Investments: Events, Tools, and Community 01:34:58 Looking Ahead: Async Agents and Real Impact

Regret is one of our most powerful emotions -- and also one of the most misunderstood. Over the past two years, author Daniel H. Pink has collected a trove of more than 16,000 regrets from people in 105 countries in an effort to better understand this mysterious emotion. He shares the key patterns that emerged (it all boils down to the same four core regrets, he says) and explains how to transform your own regrets in order to create the life you've always wanted to live. (This talk and conversation, hosted by TED current affairs curator Whitney Pennington Rodgers, was part of an exclusive TED Membership event. Visit ted.com/membership to become a TED Member.) Hosted on Acast. See acast.com/privacy for more information.

Dr Gabrielle Lyon is a functional medicine physician and Founder of the Institute of Muscle-Centric Medicine. The most overlooked aspect of health optimisation might be hiding in plain sight. Your environment shapes your health far more than you probably realise. So how exactly does your environment affect your body, and what practical steps can you take to regain control and move toward better health? Sponsors: See discounts for all the products I use and recommend: https://chriswillx.com/deals Get a free bottle of D3K2, a Welcome Kit, Travel Packs, plus bonus gifts (US only) when you first subscribe at https://ag1.info/modernwisdom New pricing since recording: Function is now just $365, plus get $25 off at https://functionhealth.com/modernwisdom Get a Free Sample Pack of LMNT’s most popular flavours with your first purchase at https://drinklmnt.com/modernwisdom Get 35% off your first subscription on the best supplements from Momentous at https://livemomentous.com/modernwisdom Extra Stuff: Get my free reading list of 100 books to read before you die: https://chriswillx.com/books Try my productivity energy drink Neutonic: https://neutonic.com/modernwisdom Episodes You Might Enjoy: #577 - David Goggins - This Is How To Master Your Life: https://tinyurl.com/43hv6y59 #712 - Dr Jordan Peterson - How To Destroy Your Negative Beliefs: https://tinyurl.com/2rtz7avf #700 - Dr Andrew Huberman - The Secret Tools To Hack Your Brain: https://tinyurl.com/3ccn5vkp - Get In Touch: Instagram: https://www.instagram.com/chriswillx Twitter: https://www.twitter.com/chriswillx YouTube: https://www.youtube.com/modernwisdompodcast Email: https://chriswillx.com/contact - Learn more about your ad choices. Visit megaphone.fm/adchoices

Note: Steve and Gene’s talk on Vibe Coding and the post IDE world was one of the top talks of AIE CODE: https://www.youtube.com/watch?v=7Dtu2bilcFs&t=1019s&pp=0gcJCU0KAYcqIYzv From building legendary platforms at Google and Amazon to authoring one of the most influential essays on AI-powered development (Revenge of the Junior Developer, quoted by Dario Amodei himself), Steve Yegge has spent decades at the frontier of software engineering—and now he's leading the charge into what he calls the "factory farming" era of code. After stints at SourceGraph and building Beads (a purely vibe-coded issue tracker with tens of thousands of users), Steve co-authored The Vibe Coding Book and is now building VC (VibeCoder), an agent orchestration dashboard designed to move developers from writing code to managing fleets of AI agents that coordinate, parallelize, and ship features while you sleep. We sat down with Steve at AI Engineer Summit to dig into why Claude Code, Cursor, and the entire 2024 stack are already obsolete, what it actually takes to trust an agent after 2,000 hours of practice (hint: they will delete your production database if you anthropomorphize them), why the real skill is no longer writing code but orchestrating agents like a NASCAR pit crew, how merging has become the new wall that every 10x-productive team is hitting (and why one company's solution is literally "one engineer per repo"), the rise of multi-agent workflows where agents reserve files, message each other via MCP, and coordinate like a little village, why Steve believes if you're still using an IDE to write code by January 1st, you're a bad engineer, how the 12–15 year experience bracket is the most resistant demographic (and why their identity is tied to obsolete workflows), the hidden chaos inside OpenAI, Anthropic, and Google as they scale at breakneck speed, why rewriting from scratch is now faster than refactoring for a growing class of codebases, and his 2025 prediction: we're moving from subsistence agriculture to John Deere-scale factory farming of code, and the Luddite backlash is only just beginning. We discuss: Why Claude Code, Cursor, and agentic coding tools are already last year's tech—and what comes next: agent orchestration dashboards where you manage fleets, not write lines The 2,000-hour rule: why it takes a full year of daily use before you can predict what an LLM will do, and why trust = predictability, not capability Steve's hot take: if you're still using an IDE to develop code by January 1st, 2025, you're a bad engineer—because the abstraction layer has moved from models to full-stack agents The demographic most resistant to vibe coding: 12–15 years of experience, senior engineers whose identity is tied to the way they work today, and why they're about to become the interns Why anthropomorphizing LLMs is the biggest mistake: the "hot hand" fallacy, agent amnesia, and how Steve's agent once locked him out of prod by changing his password to "fix" a problem Should kids learn to code? Steve's take: learn to vibe code—understand functions, classes, architecture, and capabilities in a language-neutral way, but skip the syntax The 2025 vision: "factory farming of code" where orchestrators run Cloud Code, scrub output, plan-implement-review-test in loops, and unlock programming for non-programmers at scale — Steve Yegge X: https://x.com/steve_yegge Substack (Stevie's Tech Talks): https://steve-yegge.medium.com/ GitHub (VC / VibeCoder): https://github.com/yegge-labs Where to find Latent Space X: https://x.com/latentspacepod Substack: https://www.latent.space/ Chapters 00:00:00 Introduction: Steve Yegge on Vibe Coding and AI Engineering 00:00:59 The Backlash: Who Resists Vibe Coding and Why 00:04:26 The 2000 Hour Rule: Building Trust with AI Coding Tools 00:03:31 The January 1st Deadline: IDEs Are Becoming Obsolete 00:02:55 10X Productivity at OpenAI: The Performance Review Problem 00:07:49 The Hot Hand Fallacy: When AI Agents Betray Your Trust 00:11:12 Claude Code Isn't It: The Need for Agent Orchestration 00:15:20 The Orchestrator Revolution: From Cloud Code to Agent Villages 00:18:46 The Merge Wall: The Biggest Unsolved Problem in AI Coding 00:26:33 Never Rewrite Your Code - Until Now: Joel Spolsky Was Wrong 00:22:43 Factory Farming Code: The John Deere Era of Software 00:29:27 Google's Gemini Turnaround and the AI Lab Chaos 00:33:20 Should Your Kids Learn to Code? The New Answer 00:34:59 Code MCP and the Gossip Rate: Latest Vibe Coding Discoveries

From the frontlines of OpenAI's Codex and GPT-5 training teams, Bryan and Bill are building the future of AI-powered coding—where agents don't just autocomplete, they architect, refactor, and ship entire features while you sleep. We caught up with them at AI Engineer Conference right after the launch of Codex Max, OpenAI's newest long-running coding agent designed to work for 24+ hours straight, manage its own context, and spawn sub-agents to parallelize work across your entire codebase. We sat down with Bryan and Bill to dig into what it actually takes to train a model that developers trust—why personality, communication, and planning matter as much as raw capability, how Codex is trained with strong opinions about tools (it loves rg over grep, seriously), why the abstraction layer is moving from models to full-stack agents you can plug into VS Code or Zed, how OpenAI partners co-develop tool integrations and discover unexpected model habits (like renaming tools to match Codex's internal training), the rise of applied evals that measure real-world impact instead of academic benchmarks, why multi-turn evals are the next frontier (and Bryan's "job interview eval" idea), how coding agents are breaking out of code into personal automation, terminal workflows, and computer use, and their 2026 vision: coding agents trusted enough to handle the hardest refactors at any company, not just top-tier firms, and general enough to build integrations, organize your desktop, and unlock capabilities you'd never get access to otherwise. We discuss: What Codex Max is: a long-running coding agent that can work 24+ hours, manage its own context window, and spawn sub-agents for parallel work Why the name "Max": maximalist, maximization, speed and endurance—it's simply better and faster for the same problems Training for personality: communication, planning, context gathering, and checking your work as behavioral characteristics, not just capabilities How Codex develops habits like preferring rg over grep, and why renaming tools to match its training (e.g., terminal-style naming) dramatically improves tool-call performance The split between Codex (opinionated, agent-focused, optimized for the Codex harness) and GPT-5 (general, more durable across different tools and modalities) Why the abstraction layer is moving up: from prompting models to plugging in full agents (Codex, GitHub Copilot, Zed) that package the entire stack The rise of sub-agents and agents-using-agents: Codex Max spawning its own instances, handing off context, and parallelizing work across a codebase How OpenAI works with coding partners on the bleeding edge to co-develop tool integrations and discover what the model is actually good at The shift to applied evals: capturing real-world use cases instead of academic benchmarks, and why ~50% of OpenAI employees now use Codex daily Why multi-turn evals are the next frontier: LM-as-a-judge for entire trajectories, Bryan's "job interview eval" concept, and the need for a batch multi-turn eval API How coding agents are breaking out of code: personal automation, organizing desktops, terminal workflows, and "Devin for non-coding" use cases Why Slack is the ultimate UI for work, and how coding agents can become your personal automation layer for email, files, and everything in between The 2026 vision: more computer use, more trust, and coding agents capable enough that any company can access top-tier developer capabilities, not just elite firms — Bryan & Bill (OpenAI Codex Team) http://x.com/bfioca https://x.com/realchillben OpenAI Codex: https://openai.com/index/openai-codex/ Where to find Latent Space X: https://x.com/latentspacepod Substack: https://www.latent.space/ Chapters 00:00:00 Introduction: Latent Space Listeners at AI Engineer Code 00:01:27 Codex Max Launch: Training for Long-Running Coding Agents 00:03:01 Model Personality and Trust: Communication, Planning, and Self-Checking 00:05:20 Codex vs GPT-5: Opinionated Agents vs General Models 00:07:47 Tool Use and Model Habits: The Ripgrep Discovery 00:09:16 Personality Design: Verbosity vs Efficiency in Coding Agents 00:11:56 The Agent Abstraction Layer: Building on Top of Codex 00:14:08 Sub-Agents and Multi-Agent Patterns: The Future of Composition 00:16:11 Trust and Adoption: OpenAI Developers Using Codex Daily 00:17:21 Applied Evals: Real-World Testing vs Academic Benchmarks 00:19:15 Multi-Turn Evals and the Job Interview Pattern 00:21:35 Feature Request: Batch Multi-Turn Eval API 00:22:28 Beyond Code: Personal Automation and Computer Use 00:24:51 Vision-Native Agents and the UI Integration Challenge 00:25:02 2026 Predictions: Trust, Computer Use, and Democratized Excellence

The U.S. government is nearly $40 trillion in debt, a fact that pretty much guarantees exciting times ahead. Coleman Church on what comes next. (00:00) Debt Trading and Emerging Markets Debt (08:58) The IMF's Role in American Foreign Policy (28:57) How the Fed Is Secretly Destroying Free Market Capitalism (1:07:59) What Is the Alternative to Investing in the Stock Market? (1:12:07) Is Crypto the Next Global Reserve Currency? Paid partnerships with: Dutch: Get $50 a year for vet care with Tucker50 at https://dutch.com/tucker TCN: Watch our new outdoor series at https://tuckercarlson.com/americangame Last Country Supply: Real prep starts with the basics. Here’s what we keep stocked: https://lastcountrysupply.com Learn more about your ad choices. Visit megaphone.fm/adchoices

To truly savor life, pursue "powerful first experiences," says storyteller and nonprofit founder Kenneth Chabert. Learn more about how to create these meaningful moments, where mundane routine is broken by novel experiences in small but significant ways -- no matter how old you are. Hosted on Acast. See acast.com/privacy for more information.

Get Sam's AI Executive Coach Playbook - his exact system for everything from revenue optimization to life decisions: https://clickhubspot.com/dhn Episode 778: Sam Parr ( ⁠https://x.com/theSamParr⁠ ) talks to Brian Halligan ( https://x.com/bhalligan ) about the highs and lows of building HubSpot.  — Show Notes: (0:00) Are you happy? (2:57) Does it ever stop sucking? (5:18) Do you have imposter syndrome? (6:55) Were the trade offs worth it? (11:53) Is AI a bubble? (14:47) Do you have to be liked? (17:02) What would you do if you had to start over? (29:36) What did you get wrong? — Links: • Marketing Lessons From The Grateful Dead - https://tinyurl.com/ydmyh6f9  — 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 //

A tech C.E.O. explains why A.I. probably won’t cure diseases anytime soon. Hint: You still need humans.

New infrastructure primitives are creating entirely new rails for building. In this episode of Big Ideas 2026, we explore three foundational shifts that unlock new markets and workflows, not through incremental upgrades, but through primitives that compound over time. First, programmable money evolves beyond stablecoins into on-chain credit origination and synthetic financial products, offering lower operational costs and greater composability than traditional finance. Second, autonomy begins entering scientific research through collaborative labs, where AI reasoning models work alongside automation and robotics, and interpretability becomes essential for progress. Third, distribution itself becomes a primitive, as AI-native startups win early by selling to other startups at formation, then scale alongside the next generation of companies. You will hear from Guy Willette on the next phase of on-chain finance, Oliver Shu on autonomous labs and AI-assisted discovery, and James da Costa on the greenfield go-to-market strategy. Together, these ideas define what new infrastructure primitives really mean: the rails that enable entirely new systems to emerge, compound, and scale.

Most stories keep going even after we set down our microphones and the music fades up. That's why, at the end of each year, we look back and we take stock. We call this tradition "The Rest of the Story." And we bring you updates on the stories we've reported, and from the people we've met along the way.Today, we check in on an engineer and patent attorney who made a safer saw; we get an update on the Planet Money game; an update on money in Gaza; and we have updates on a diamond that may or may not have had a second life. Listen to the original stories:The Subscription Trap Planet Money buys a mystery diamond In Gaza, money is falling apart BOARD GAMES 1: We're making a game  How to save 10,000 fingers This episode of Planet Money was produced by Luis Gallo, edited by Alex Goldmark, fact-checked by Vito Emanuel, and engineered by Debbie Daughtry.Pre-order the Planet Money book and get a free gift. / Subscribe to Planet Money+Play the new version of our game here. Version 4.Listen free: Apple Podcasts, Spotify, the NPR app or anywhere you get podcasts.Facebook / Instagram / TikTok / Our weekly Newsletter. Learn more about sponsor message choices: podcastchoices.com/adchoicesNPR Privacy Policy