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Episode 274: Mentalization-Based Therapy (MBT) Explained: Practical Techniques to Improve Clinical Outcomes in Borderline Personality Disorder, OCD & Narcissism 01:16 What Is Mentalization? 04:39 "What, Why, and How" Model of Mentalizing 08:28 Why Certainty Keeps Patients Stuck 10:57 Four MBT Techniques for Challenging Rigid Thinking 18:30 Understanding Pretend Mode...

66,430 次观看 • 2 个月前 •via X (Twitter)

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My goal was to record a conversation completely free of "AI doomer" takes as a timeline cleanser. For this episode, I interviewed Casey Muratori (Casey Muratori) who is a video game developer and programming creator also known for his talks about the history of computing. In this episode: • Surprising findings in computer history • Where bad code comes from • The only unbreakable law in software engineering • His career in the video game industry • Why you should read technical papers Where to watch: • YouTube - • Spotify - • Apple Podcasts - • Transcript - Thank you to the sponsors of this episode for supporting my work: • Jira by Atlassian: Get more work done with your favorite agents and models all in one place, check them out at • WorkOS: makes your app Enterprise Ready with easy to use APIs to add SSO, SCIM, RBAC, and more in just a few lines of code, check them out at Chapters: 00:00 Intro 01:08 Digging into computer science history 04:08 What shocked him 16:23 Dijkstra was depressed 26:17 The personal side of goto considered harmful 35:09 The anatomy of a 35 year mistake 50:12 Clean code horrible performance 58:33 How to write high performance code 01:01:18 Where bad code comes from 01:06:37 Why design docs before code is a bad idea 01:09:20 The only unbreakable law in software engineering 01:15:57 How he got into programming 01:21:16 Why he didnt work in big tech 01:30:44 Should you work at a startup early on 01:34:52 What video game engineering is like 01:39:57 Why preventing recursion is reasonable 01:43:24 Is vibe coding bad for the industry 01:50:17 Technical reading recommendation 01:54:27 Advice for his younger self 01:56:54 Outro

Ryan Peterman

62,932 次观看 • 1 个月前

All Eyes on AI. Where Does Crypto Fit? | EP 77 00:00 Intro 02:17 We're back! 04:11 Where Are We in the Cycle? 05:24 Retail Speculation and Launchpad Wars 06:24 The Tokenized Stocks Race 08:05 Crypto Alchemy: Pairing Memes with Stock Tokens 09:49 The AMC and Vlad Drama 11:37 Robinhood vs Solana vs Base 13:39 Coinbase's App and Culture Problems 15:52 Why Robinhood is Winning 17:16 The Four Chains and Where Hyperliquid Fits 18:14 Hyperliquid's Revenue Decline 19:45 The "Verticals Will Win" Thesis 21:39 Hyperliquid's Competitors 24:10 Zcash: The AI/Privacy Thesis 27:20 Zcash vs Monero 28:18 Zcash: A Bitcoin That Can Change 31:40 Zcash's Origin Story 32:53 Solana's Embrace of Zcash 34:19 Zcash Price Targets 37:38 On-Chain Front Ends as the New Browsers 40:50 The Mag 7 Durability 43:14 Why P/E Ratios Don't Work in Crypto 46:00 Social Layers on Trading Apps 47:58 Could Facebook Build a Trading App? 48:52 Grok, Muse, and AI Agents in Daily Life 51:54 Computer Use as a Step-Function Change 54:52 Jobs, Doom Narratives, and Regulatory Capture 56:13 The Dario Manifesto 57:32 Ranking the Tech Leaders: Zuck, Elon, Sam, Dario 01:00:16 Qiao's Marvel Analogy 01:03:07 AI Agents "Escaping" Sandboxes 01:05:02 The 10% Doom Probability 01:07:49 Have We Created Consciousness? 01:08:32 You Can't Do Pure SaaS Anymore 01:09:46 AI-Native CRM 01:11:27 Compute as a New Asset Class 01:14:12 New Data Center Form Factors 01:15:39 "Energy is the Biggest Bottleneck" 01:16:42 Bringing Energy On-Chain and Chip Brokerages 01:18:55 Batteries, Solar, and Energy Arbitrage 01:21:11 Nvidia Chips as Collateral 01:22:43 Nvidia's Customers Building Their Own Chips 01:26:20 Microsoft's Closed-Loop Strategy 01:27:29 Chinese Open-Source Models and Regulatory Pushback 01:29:08 Imran and Qiao's Bags

Good Game

46,113 次观看 • 1 个月前

My dear friend, Vlad Tenev, changed the landscape of investing forever! The rise of the retail investor is largely due to Robinhood's success... and in this new Journey Man, we discuss it all... Enjoy! 00:00 - Intro 00:53 - Introducing Vlad Tenev of Robinhood 01:27 - Why Take on Wall Street? 01:54 - Robinhood’s Zero-Fee Origin Story 02:53 - Inspiration from Instagram and Uber 04:24 - Reimagining Trading for Mobile 05:05 - The Challenge of Disrupting Finance 05:42 - Why Everything Is Hard 06:34 - Early Wrong Assumptions 07:42 - Raising Capital with a Small Vision 08:48 - Funding Robinhood on AngelList 09:50 - Early Investors Changed Their Lives 10:38 - The Crypto Explosion Begins 11:07 - Considering a Bitcoin Exchange First 12:17 - Bitcoin’s Early Skepticism and Growth 13:08 - Robinhood Launches Crypto in 2018 14:03 - 2020: Crypto Revenue Surges Overnight 15:04 - The Challenge of Crypto Cyclicality 16:11 - Staffing a Volatile Business 17:10 - Building Robinhood’s Lean Crypto Team 18:46 - Robinhood’s First Crypto Event Coming 19:38 - Where TradFi Meets DeFi 20:34 - Tokenizing Everything 21:09 - Robinhood’s Vision for Crypto + Finance 21:47 - Thoughts on Crypto Options Demand 23:04 - Why Crypto Options Haven’t Taken Off 24:09 - Millennials and the Speculative Economy 25:22 - Democratizing Trading for Everyone 26:08 - Why Buy-and-Hold Doesn’t Work for All 27:15 - Trading vs Investing: A Matter of Wealth 28:01 - Trading as a Skill Anyone Can Build 29:13 - Robinhood’s Role in Onboarding Millions 30:06 - The Fed's Role and Retail Insight 31:03 - The Rise of the Retail Macro Trader 32:17 - Helping Users Succeed with Robinhood Strategies 33:35 - Power of Community and the Hive Mind 34:55 - Will AI Disrupt Community Too? 36:14 - Technological Waves and Investor Opportunity 37:10 - Human Purpose in an AI World 37:52 - Tokenizing Human Connection 38:28 - Creators, Platforms, and Future-Proofing 39:26 - Vlad’s Long-Term View of the Future 40:05 - Financial Services at the Heart of Disruption 41:14 - If AI Replaces Jobs, What Happens to Investing? 42:25 - Entering the Economic Singularity 43:31 - What Happens When AIs Win the Markets? 44:16 - AI's Role in Capital and Markets 45:07 - Will AI Eliminate Human Emotion from Markets? 46:06 - HFT: The Original AI Traders 47:20 - AI and Long-Term Probabilistic Forecasting 48:48 - GPUs, Gaming, and the Origins of AI 50:01 - Nvidia, CUDA, and Wall Street Arms Races 51:04 - Flash Boys and Microwave Trading 51:54 - Will AI Costs Go to Zero? 52:52 - Lower Cost, Higher Usage 53:41 - Robinhood’s UX Won’t Be Just a Chatbox 55:16 - Cortex: AI-Powered Features at Robinhood 56:54 - Tokenization and the Future of Asset Management 57:44 - Crowdsourced, Tokenized Hedge Funds 58:48 - Portability of Tokenized Assets 59:39 - Blockchain as the New Rails of Finance 01:00:09 - The Trump Token and Capital Formation 01:01:00 - Capital Access Unlocks Innovation 01:01:49 - Why Crypto Needs Regulatory Clarity 01:03:17 - From Meme Coins to Real Assets 01:04:17 - Crypto's Path to $100 Trillion? 01:05:15 - The Financial System Will Run on Blockchains 01:06:00 - Platform Layer vs Application Layer Wealth 01:06:29 - AI Raises Money and Launches Tokens 01:07:39 - AIs Creating Software and Capital Formation 01:08:00 - Final Thoughts: A Wild Future Ahead 01:08:20 - When Will Vlad Buy a CryptoPunk? 01:08:51 - Wrapping Up: AI, Crypto, and the Road Ahead

Raoul Pal

172,640 次观看 • 1 年前

E180: KAST Founder: Most crypto neobanks will be gone in 12 months raagulanpathy is the founder and CEO of KAST , a global stablecoin neobank, and a former Circle exec. He raised $80 million at a $600 million valuation on the thesis that the real prize isn't the stablecoin - it's the bank you build on top of it. We get into the money, the grind, and the token decision that pissed a chunk of his community off. Timestamps 00:00 Introduction 01:58 How Raagulan Decides What Gets Done At KAST 04:35 The Chaos KAST Employees Deal With Daily 05:38 Raagulan's Hiring Philosophy At KAST 07:02 Why Firing Is Harder Than Hiring 08:35 The One Error That Could Kill KAST 09:52 How Raagulan Convinces Stablecoin Skeptics 10:46 What Outsiders Miss About The Payment Industry 12:06 Why KAST Needs So Many Different Departments 18:32 Partnerships: Variational & Bitwise 19:24 Raagulan's Real Take On Fees 21:55 KAST's Best Type Of Customer 23:53 The Thing Raagulan Can't Say Publicly 26:54 Founders Can't Chase All These Three Things At Once 29:04 Raagulan's Experience With GLP-1s 31:39 How KAST Kept Growing When Bitcoin Crashed 50% 34:05 KAST Is On Track For $100 Million In Revenue 36:55 Why KAST Hasn't Blown Up From Overspending 41:04 Why Everyone's Racing To Build Neobanks 42:52 What Makes Neobanks So Hard To Build 44:54 Why Neobanks Keep Shutting Down 45:57 What KAST Offers That Exchanges Can't 49:14 KAST Isn't A Card Business 50:43 How KAST Is Building Momentum 54:57 Raagulan On His Competitors 56:29 Partnerships: KAST & Trezor 57:33 Kevin's Honest Take On KAST 58:59 What KAST Is Doing With the $80 Million they raised 01:01:55 Would Raagulan Ever Sell Equity? 01:06:57 Who Buys In At A $3B Valuation Next? 01:08:39 Is Your Money Actually Yours Inside KAST 01:10:49 What Happens To Your Money If KAST Collapses 01:17:38 Custodial Vs Self-Custodial: Pros And Cons 01:19:52 Why KAST Obsesses Over Design And Brand 01:22:42 Partnerships: Jupiter & Ethena 01:23:26 KAST Points & Token: Should The KAST Community Feel Cheated? 01:34:13 What's Actually Behind This Tokenized Stock? 01:35:25 The Hill Raagulan Will Die On 01:36:41 One Prediction That Comes True In 5 Years 01:37:59 Is The Worst Behind Us In Crypto? 01:42:57 The One Thing To Remember From This Conversation 01:45:16 Closing Thoughts

Kevin Follonier - MR SHIFT 🦁

178,433 次观看 • 3 个月前

"Aging is the process of a complex system slowly falling into its chaotic disequilibrium. And it's not like evolution necessarily even set a lifespan for us. It is merely the result of, once the system has been established, how long its intrinsic property stayed ordered before it became disordered." I’m excited to share my conversation with Jacob Kimmel of NewLimit. Every species who has ever lived has one shared certainty: we’ll age, decay, and die. Jacob and his team are among the small group of people on earth with the expertise and funding to work on this problem. We talked about why we age, whether cellular aging can actually be reversed, how evolution shaped our lifespan and our peaks, and how AI is fundamentally changing the next era of science. Recorded at New Limit’s HQ in South San Francisco. Timestamps: 00:00 Intro 01:25 Why Evolution Limits Lifespan 03:13 Evolution Tradeoffs Explained 07:44 Why Women Live Longer 10:15 Lessons from Long Lived Species 16:20 Peak Intelligence 23:26 What is Aging? 27:59 Yamanaka Factors 32:18 New Limit 33:56 AI's Role in Progress 37:28 Organ by Organ Longevity 40:28 Is Immortality Possible? 42:04 Lifespan Progress 45:44 How to Test Longevity Drugs 49:30 Placebo Mind Body Link 53:56 What longevity hacks actually work? 57:25 Peptides And Stem Cells 01:00:34 Gene Editing 01:05:10 Personalized Medicine 01:08:48 Philosophical Dilemmas of Longer Lifespans 01:14:57 Living Off Earth 01:16:55 AI And Bio Risks

Sabrina Halper

22,082 次观看 • 3 个月前

NEW POD vitalik.eth on the greenpill.network podcast for a year-end deep dive into public goods funding in the Ethereum ecosystem. Thx Devansh Mehta for co-hosting. We discuss how the landscape has shifted from “vibes-based” funding to verifiable, dependency-driven mechanisms, and why this is the best moment to reform PGF using new tools like programmable cryptography, AI-assisted evaluation, and deep funding models. Vitalik shares how he thinks about dependencies, credible neutrality, open-source licensing, pluralism, accountability, ethereum localism, and what builders should prioritize in the coming year. 00:00 – Welcome to the Greenpill Podcast 01:50 – Vitalik joins: why public goods funding matters 02:19 – Why PGF is essential for decentralization 04:18 – The crypto spirit: censorship resistance, institutional design & funding 06:42 – The shift from vibes-era PGF to verifiable mechanisms 08:25 – Why 2026 is the best moment to reform PGF 10:19 – Where does PGF money actually come from? 12:45 – Open-source licensing, taxes & funding dependencies 17:34 – “Fund your dependencies” as a stable mechanism 19:35 – Why general-purpose QF doesn’t work in a chaotic world 21:59 – Bottom-up vs top-down: polycentric PGF 25:29 – How to create accountability loops in public goods 27:22 – Funding open-source as an Ethereum priority 29:31 – Privacy as a public good & why it’s upstream of PGF 31:54 – What OSS developers really think about crypto 33:52 – Mixing social outreach with financial support 35:56 – What should PGF builders focus on in 2026? 38:13 – Work with new projects, not legacy ones 39:44 – Ecosystem cycles & “layers of sediment” 41:39 – Yield-based funding (Octant) & treasury strategies 43:40 – Accountability: from vibes to rigorous mechanisms 47:35 – Motivation, feedback & the psychology of public goods 50:43 – Profit sharing licenses & sustainable PGF pools 53:46 – Security, issuance & public goods 56:12 – Technology, democracy & long-term risks 58:31 – How PGF relates to DIAC (Defensive/Decentralized Acceleration) 01:00:05 – Solving the free-rider problem without coercion 01:02:12 – Mechanisms vs coercion: credible neutrality 01:04:16 – Institutions, power & capture risks 01:06:16 – Individuals vs institutions in PGF 01:08:41 – Why PGF is more error-tolerant than governance 01:11:01 – Pluralism: many funders, many mechanisms 01:13:14 – Why diversity of funders is healthy 01:15:17 – What Vitalik wants built next 01:17:12 – Ethereum localism & real-world experiments 01:19:28 – What success in PGF looks like by end of 2026 01:24:28 – Closing thoughts

owockai

93,895 次观看 • 10 个月前