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The Equation That Changed How Physicists Think About Reality | Juan Maldacena Timestamps: 00:00 The claim Einstein wrote in 1935 and missed 01:15 The most-cited physicist alive walks into UC San Diego 03:25 What would shock Einstein most about modern physics 07:45 The holographic principle — what it actually...

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Prof. Brian Keating

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31,615 görüntüleme • 3 ay önce •via X (Twitter)

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Full interview with the founder and CEO of Propr Lou sits down with me to discuss Hyperliquid and the future of prop trading Timestamps: 00:00:00 Intro 00:00:16 Meet Louis: from TradFi to crypto 00:01:52 How the crypto market has changed 00:03:49 Why build on Hyperliquid 00:06:52 How propr got started 00:08:40 Scaling a lean team (and the grind) 00:12:24 What a prop firm actually is 00:15:33 Agents, bots, and the future of trading 00:18:32 What Louis is most proud of 00:21:02 Thinking about the token and TGE 00:24:14 Where propr goes in 5 years 00:25:57 Best and worst trades 00:27:50 Life outside crypto + shoutouts
29:41

Full interview with the founder and CEO of Propr Lou sits down with me to discuss Hyperliquid and the future of prop trading Timestamps: 00:00:00 Intro 00:00:16 Meet Louis: from TradFi to crypto 00:01:52 How the crypto market has changed 00:03:49 Why build on Hyperliquid 00:06:52 How propr got started 00:08:40 Scaling a lean team (and the grind) 00:12:24 What a prop firm actually is 00:15:33 Agents, bots, and the future of trading 00:18:32 What Louis is most proud of 00:21:02 Thinking about the token and TGE 00:24:14 Where propr goes in 5 years 00:25:57 Best and worst trades 00:27:50 Life outside crypto + shoutouts

ryandcrypto

42,836 görüntüleme • 2 ay önce

We've got a podcast! In our first episode, Ege, Tamay and Jaime dig into: • What they expect AI to look like by 2030 • Why economists are underestimating the likelihood of explosive growth • The startling regularity in technological trends like Moore's Law • Moravec’s paradox, and how we might overcome it And more more! Timestamps: 00:00:00 Preview 00:00:37 What is Epoch AI? 00:02:32 Scaling Laws 00:08:43 Key Drivers 00:19:20 End of the Decade Predictions 00:21:18 Bottlenecks: Power 00:27:59 Bottlenecks: GPUs 00:32:07 Bottlenecks: Data 00:45:37 Bottlenecks: Latency 00:56:18 Bottlenecks: Failure Rates 01:03:55 AI Investment 01:07:11 Automation 01:12:10 Benchmarks & Moravec’s Paradox 01:19:45 Economic Impact 01:45:48 Open Questions & Takeaways
2:02:21

We've got a podcast! In our first episode, Ege, Tamay and Jaime dig into: • What they expect AI to look like by 2030 • Why economists are underestimating the likelihood of explosive growth • The startling regularity in technological trends like Moore's Law • Moravec’s paradox, and how we might overcome it And more more! Timestamps: 00:00:00 Preview 00:00:37 What is Epoch AI? 00:02:32 Scaling Laws 00:08:43 Key Drivers 00:19:20 End of the Decade Predictions 00:21:18 Bottlenecks: Power 00:27:59 Bottlenecks: GPUs 00:32:07 Bottlenecks: Data 00:45:37 Bottlenecks: Latency 00:56:18 Bottlenecks: Failure Rates 01:03:55 AI Investment 01:07:11 Automation 01:12:10 Benchmarks & Moravec’s Paradox 01:19:45 Economic Impact 01:45:48 Open Questions & Takeaways

Epoch AI

152,591 görüntüleme • 1 yıl önce

🚨New Episode: Please welcome Shiloe Bear to the Fort! As the founder of Creek Development, Shiloe has completed 63 commercial redevelopment projects and 5 land entitlement plays in the San Francisco Bay Area. Leveraging her deep construction expertise, she challenges project assumptions and incorporates impactful design to achieve remarkable outcomes for her clients and investors. We discuss: - Building Creek as an outsourced developer - Converting industrial buildings into biotech lab space - A deep dive into the Bay Area RE market - Why design is such an important aspect of development 00:00:00 - Intro 00:01:11 - Shiloe’s upbringing and journey to doing development in the Bay Area 00:08:25 - What are the projects you work on the most? 00:11:01 - Why is there such a demand for outsourced development? 00:11:47 - What makes your firm different? 00:16:50 - Minimum Viable Projects 00:21:47 - How early in a project do you need to be brought in? 00:25:14 - What are some obvious parts of a project where you can save money? 00:27:30 - How would you describe the Bay Area market right now? 00:33:35 - Office to Residential 00:37:46 - What’s the environment like for Oakland? 00:42:31 - How Shiloe is planning to pivot her business into doing their own developments 00:47:51 - How important are the relationships you’ve developed in The Bay over the past 10 years? 00:53:06 - The BioTech market and development strategy 01:00:55 - Why design matters 01:08:27 - How far out are labs looking for space? 01:09:46 - Lenders, Leases, and hold periods 01:12:36 - Why did this become your niche? 01:14:13 - Shiloe’s bird-watching skills & long-distance running
1:17:35

🚨New Episode: Please welcome Shiloe Bear to the Fort! As the founder of Creek Development, Shiloe has completed 63 commercial redevelopment projects and 5 land entitlement plays in the San Francisco Bay Area. Leveraging her deep construction expertise, she challenges project assumptions and incorporates impactful design to achieve remarkable outcomes for her clients and investors. We discuss: - Building Creek as an outsourced developer - Converting industrial buildings into biotech lab space - A deep dive into the Bay Area RE market - Why design is such an important aspect of development 00:00:00 - Intro 00:01:11 - Shiloe’s upbringing and journey to doing development in the Bay Area 00:08:25 - What are the projects you work on the most? 00:11:01 - Why is there such a demand for outsourced development? 00:11:47 - What makes your firm different? 00:16:50 - Minimum Viable Projects 00:21:47 - How early in a project do you need to be brought in? 00:25:14 - What are some obvious parts of a project where you can save money? 00:27:30 - How would you describe the Bay Area market right now? 00:33:35 - Office to Residential 00:37:46 - What’s the environment like for Oakland? 00:42:31 - How Shiloe is planning to pivot her business into doing their own developments 00:47:51 - How important are the relationships you’ve developed in The Bay over the past 10 years? 00:53:06 - The BioTech market and development strategy 01:00:55 - Why design matters 01:08:27 - How far out are labs looking for space? 01:09:46 - Lenders, Leases, and hold periods 01:12:36 - Why did this become your niche? 01:14:13 - Shiloe’s bird-watching skills & long-distance running

Chris Powers

64,474 görüntüleme • 2 yıl önce

New session with Shreya Shankar on How to Automate Evals with AI (correctly) The most important part of the eval workflow is finding issues. Shreya does a live demo of how to steer the AI iteratively to find unknown unknowns Chapter summaries: 00:00:00 Introduction 00:00:55 Why vendors want to automate evals for you 00:01:45 Why no tool can fully automate evals 00:06:00 Mistake #1: Asking AI to just "find the issues" in your data 00:08:11 What good AI-assisted error analysis actually looks like 00:11:12 Live demo: building a review interface from scratch 00:15:10 Annotating traces and building a failure mode taxonomy 00:19:31 Mistake #2: Only reviewing your data once 00:22:53 Mistake #3: Treating all apps with the same accuracy bar 00:25:10 General-purpose agents vs. dedicated eval tools 00:25:48 Summary: three rules for automating evals correctly YT links and more in reply
27:18

New session with Shreya Shankar on How to Automate Evals with AI (correctly) The most important part of the eval workflow is finding issues. Shreya does a live demo of how to steer the AI iteratively to find unknown unknowns Chapter summaries: 00:00:00 Introduction 00:00:55 Why vendors want to automate evals for you 00:01:45 Why no tool can fully automate evals 00:06:00 Mistake #1: Asking AI to just "find the issues" in your data 00:08:11 What good AI-assisted error analysis actually looks like 00:11:12 Live demo: building a review interface from scratch 00:15:10 Annotating traces and building a failure mode taxonomy 00:19:31 Mistake #2: Only reviewing your data once 00:22:53 Mistake #3: Treating all apps with the same accuracy bar 00:25:10 General-purpose agents vs. dedicated eval tools 00:25:48 Summary: three rules for automating evals correctly YT links and more in reply

Hamel Husain

34,196 görüntüleme • 1 ay önce

From a Thai prison cell to a fintech empire processing $1.6B in international payments across 40+ banks and 250M+ users. Jonathan Low (Jonathan Low). Forbes 40 Under 40. Author of "Cell to CEO." We covered prison, banking for AI agents, RWA projects, the future of crypto in banking, vibe coding for trading, and the businesses that win the next 5 years. ⏱ Timestamps: 00:00:00 — Teaser 00:00:46 — Who is Jonathan Low 00:01:35 — What Jonathan's life was like before prison 00:02:13 — How and why Jonathan ended up in prison 00:02:57 — Prison conditions: expectations vs reality 00:07:33 — Prison became the greatest blessing 00:09:12 — How the entrepreneurial journey began after prison 00:10:34 — Why social capital matters 00:11:06 — Launched own club and took it to the top in 3 months 00:12:09 — Built an Axie Infinity gaming guild during COVID 00:13:49 — The beginning of the BipTap Group journey 00:17:23 — How Jonathan built his own banking system 00:20:07 — How to get a crypto card 00:22:03 — How much it costs to launch a white-label solution with BipTap 00:22:58 — Banking for AI agents 00:25:57 — How to build an RWA project 00:27:45 — Future of cryptocurrencies in banking 00:32:08 — The business verticals within Empire Group 00:32:48 — What Jonathan invests his money in 00:33:54 — How relationships with regulators are built 00:34:43 — Implementing AI in business 00:36:28 — Vibe coding in trading 00:40:06 — Advice for first-time founders 00:43:36 — From construction to trading: Ruslan Khairullin's journey 00:44:57 — Inner peace: why calmness is essential for founders 00:50:39 — Work-life balance for entrepreneurs 00:53:47 — $1.5 million in 24 hours on TST coin 00:55:11 — The best way to capture a market 00:55:57 — Banking for nations Watch the full conversation and let me know which part you liked the most 👇
58:52

From a Thai prison cell to a fintech empire processing $1.6B in international payments across 40+ banks and 250M+ users. Jonathan Low (Jonathan Low). Forbes 40 Under 40. Author of "Cell to CEO." We covered prison, banking for AI agents, RWA projects, the future of crypto in banking, vibe coding for trading, and the businesses that win the next 5 years. ⏱ Timestamps: 00:00:00 — Teaser 00:00:46 — Who is Jonathan Low 00:01:35 — What Jonathan's life was like before prison 00:02:13 — How and why Jonathan ended up in prison 00:02:57 — Prison conditions: expectations vs reality 00:07:33 — Prison became the greatest blessing 00:09:12 — How the entrepreneurial journey began after prison 00:10:34 — Why social capital matters 00:11:06 — Launched own club and took it to the top in 3 months 00:12:09 — Built an Axie Infinity gaming guild during COVID 00:13:49 — The beginning of the BipTap Group journey 00:17:23 — How Jonathan built his own banking system 00:20:07 — How to get a crypto card 00:22:03 — How much it costs to launch a white-label solution with BipTap 00:22:58 — Banking for AI agents 00:25:57 — How to build an RWA project 00:27:45 — Future of cryptocurrencies in banking 00:32:08 — The business verticals within Empire Group 00:32:48 — What Jonathan invests his money in 00:33:54 — How relationships with regulators are built 00:34:43 — Implementing AI in business 00:36:28 — Vibe coding in trading 00:40:06 — Advice for first-time founders 00:43:36 — From construction to trading: Ruslan Khairullin's journey 00:44:57 — Inner peace: why calmness is essential for founders 00:50:39 — Work-life balance for entrepreneurs 00:53:47 — $1.5 million in 24 hours on TST coin 00:55:11 — The best way to capture a market 00:55:57 — Banking for nations Watch the full conversation and let me know which part you liked the most 👇

Ruslan Khairullin

16,872 görüntüleme • 1 ay önce

Scott Jennings has built a reputation for speaking truth to power on CNN, but what stood out to me in this conversation was his honesty, his perspective, and his heart. We filmed this episode over a month ago in Washington DC, and it was the perfect backdrop for a raw and real discussion about politics, faith, and family. We talked about what it takes to sit in the lion’s den night after night, debating politics in front of a national audience, and why authenticity matters more now than ever. Scott opened up about his career path from Kentucky to the Bush White House, to campaign war rooms, and now to CNN, where his voice has become one of the most recognizable conservative perspectives in America. He shared stories about Donald Trump, Mitch McConnell, and the lessons he has learned from decades inside politics and media. We also talked about faith, family, and why staying grounded matters when the world is coming at you full speed. Scott Jennings is sharp, candid, and passionate about America’s future, but what I walked away with was a reminder of his integrity and his courage to stand firm in the face of constant pressure. Chapters: 00:03:08:12 – Thoughts on Donald Trump's presidency so far 00:06:32:00 – How has President Trump improved since 2016 00:08:35:01 – How the incident in Butler PA changed everything 00:13:11:23 – Scott Jennings on CNN 00:18:10:19 – How the debates work on CNN 00:20:52:15 – How does Scott Jennings keep his cool while debating 00:24:25:11 – Any strained relationships on set 00:27:18:25 – Scott Jennings' best and worst moments on air 00:31:06:08 – How does Scott Jennings deal with being outnumbered 00:41:12:23 – Scott's career in politics 00:44:39:16 – Mitch McConnell 00:52:11:11 – Political run in Kentucky for Scott 00:54:37:24 – Family 01:00:11:02 – Closing thoughts 01:03:29:11 – The Yellow Ribbon
1:05:46

Scott Jennings has built a reputation for speaking truth to power on CNN, but what stood out to me in this conversation was his honesty, his perspective, and his heart. We filmed this episode over a month ago in Washington DC, and it was the perfect backdrop for a raw and real discussion about politics, faith, and family. We talked about what it takes to sit in the lion’s den night after night, debating politics in front of a national audience, and why authenticity matters more now than ever. Scott opened up about his career path from Kentucky to the Bush White House, to campaign war rooms, and now to CNN, where his voice has become one of the most recognizable conservative perspectives in America. He shared stories about Donald Trump, Mitch McConnell, and the lessons he has learned from decades inside politics and media. We also talked about faith, family, and why staying grounded matters when the world is coming at you full speed. Scott Jennings is sharp, candid, and passionate about America’s future, but what I walked away with was a reminder of his integrity and his courage to stand firm in the face of constant pressure. Chapters: 00:03:08:12 – Thoughts on Donald Trump's presidency so far 00:06:32:00 – How has President Trump improved since 2016 00:08:35:01 – How the incident in Butler PA changed everything 00:13:11:23 – Scott Jennings on CNN 00:18:10:19 – How the debates work on CNN 00:20:52:15 – How does Scott Jennings keep his cool while debating 00:24:25:11 – Any strained relationships on set 00:27:18:25 – Scott Jennings' best and worst moments on air 00:31:06:08 – How does Scott Jennings deal with being outnumbered 00:41:12:23 – Scott's career in politics 00:44:39:16 – Mitch McConnell 00:52:11:11 – Political run in Kentucky for Scott 00:54:37:24 – Family 01:00:11:02 – Closing thoughts 01:03:29:11 – The Yellow Ribbon

Sage Steele

111,471 görüntüleme • 11 ay önce

Could AI deserve rights before it even feels like anything to be an AI? Oxford moral philosopher Andreas Mogensen thinks... maybe. In her first interview for the 80,000 Hours Podcast my colleague Zershaaneh Qureshi pushes Andreas on that, as well as new arguments for why human extinction could be a good thing: The puzzle of moral patienthood (00:03:20) Is subjective experience necessary? (00:05:52) What is it to desire? (00:10:42) Desiring without experiencing (00:17:56) What would make AIs moral patients? (00:28:17) Another route entirely: deserving autonomy (00:45:12) Maybe there's no objective truth about any of this (01:12:06) Practical implications (01:29:21) Why not just let superintelligence figure this out for us? (01:38:07) How could human extinction be a good thing? (01:47:30) Lexical threshold negative utilitarianism (02:12:30) So... should we still try to prevent extinction? (02:25:22) What are the most important questions for people to address here? (02:32:16) Is God GDPR compliant? (02:35:32) Links below, enjoy!
2:37:14

Could AI deserve rights before it even feels like anything to be an AI? Oxford moral philosopher Andreas Mogensen thinks... maybe. In her first interview for the 80,000 Hours Podcast my colleague Zershaaneh Qureshi pushes Andreas on that, as well as new arguments for why human extinction could be a good thing: The puzzle of moral patienthood (00:03:20) Is subjective experience necessary? (00:05:52) What is it to desire? (00:10:42) Desiring without experiencing (00:17:56) What would make AIs moral patients? (00:28:17) Another route entirely: deserving autonomy (00:45:12) Maybe there's no objective truth about any of this (01:12:06) Practical implications (01:29:21) Why not just let superintelligence figure this out for us? (01:38:07) How could human extinction be a good thing? (01:47:30) Lexical threshold negative utilitarianism (02:12:30) So... should we still try to prevent extinction? (02:25:22) What are the most important questions for people to address here? (02:32:16) Is God GDPR compliant? (02:35:32) Links below, enjoy!

Rob Wiblin

10,720 görüntüleme • 8 ay önce

.Sui has a massive headstart and the most flexible architecture for the post-quantum and AI era. This conversation with Kostas Kryptos tells you exactly why, and what every other chain still has to figure out. If you hold anything onchain, watch this pod. Timestamps: 0:00 Intro 6:00 What a quantum computer actually is (the 10-year-old version) 10:00 Quantum will be used for trading before it ever breaks Bitcoin? 13:00 Post-quantum algorithms (solved) vs hardware (decades out) 17:00 "If you think quantum breaks crypto by 2030, you can make free money" 19:00 Everyone missed this: AI is now researching quantum alongside humans 25:00 The post-quantum-algorithm debate: Falcon, Dilithium, Sphincs and why each chain picks differently 27:00 Why Bitcoin will ONLY adopt hash-based post-quantum algorithms 31:00 This is why Sui's architecture wins: 128KB transactions, native multi-sig, flexible authenticator 36:00 How Sui can natively support any signature scheme 40:00 The Sui-only algorithm: protect existing EdDSA addresses without moving a coin 44:00 Design philosophy: what Sui kept from Libra, and what it threw out 47:00 Why Sui can keep gas low even with post-quantum signatures 49:00 How Kostas first started working on this in 2016 at R3 Corda 51:00 Attending tech conference one day after his son was born: meeting Sam Blackshear , joining Libra 55:00 The bigger near-term threat: AI-aided attacks, not quantum 58:00 Why Mysten Labs is now sharing its security tooling with the community 1:02:00 Sui's $100K post-quantum bounty: break it, keep it
1:05:30

.Sui has a massive headstart and the most flexible architecture for the post-quantum and AI era. This conversation with Kostas Kryptos tells you exactly why, and what every other chain still has to figure out. If you hold anything onchain, watch this pod. Timestamps: 0:00 Intro 6:00 What a quantum computer actually is (the 10-year-old version) 10:00 Quantum will be used for trading before it ever breaks Bitcoin? 13:00 Post-quantum algorithms (solved) vs hardware (decades out) 17:00 "If you think quantum breaks crypto by 2030, you can make free money" 19:00 Everyone missed this: AI is now researching quantum alongside humans 25:00 The post-quantum-algorithm debate: Falcon, Dilithium, Sphincs and why each chain picks differently 27:00 Why Bitcoin will ONLY adopt hash-based post-quantum algorithms 31:00 This is why Sui's architecture wins: 128KB transactions, native multi-sig, flexible authenticator 36:00 How Sui can natively support any signature scheme 40:00 The Sui-only algorithm: protect existing EdDSA addresses without moving a coin 44:00 Design philosophy: what Sui kept from Libra, and what it threw out 47:00 Why Sui can keep gas low even with post-quantum signatures 49:00 How Kostas first started working on this in 2016 at R3 Corda 51:00 Attending tech conference one day after his son was born: meeting Sam Blackshear , joining Libra 55:00 The bigger near-term threat: AI-aided attacks, not quantum 58:00 Why Mysten Labs is now sharing its security tooling with the community 1:02:00 Sui's $100K post-quantum bounty: break it, keep it

Sooraj

13,761 görüntüleme • 2 ay önce

"I haven't sold a single sat." Michael Saylor (Michael Saylor) is Executive Chairman of Strategy, the largest corporate holder of Bitcoin on earth. While crypto twitter blamed him for the correction over a 32-coin sale, he sat down with me in Prague and explained why Bitcoin is really lagging and why it has almost nothing to do with Bitcoin. "We bought 175,000 Bitcoin this year, which is like 20% of all the Bitcoin ever bought. We sold 32. 32 works out to be two basis points." We cover: - Why Bitcoin is lagging while the S&P prints all-time highs, the "massive AI black hole" pulling capital out of crypto - Why he thinks the money rotates back by Q4 - The 32-BTC sale, the scapegoat dynamic, and why he hasn't sold a sat of his own - Why a 50% drawdown is normal, the 2022 one was 75% - The Apple and Amazon adoption curve, and the "Warren Buffett moment" he says is still coming - What actually happens to Strategy if Bitcoin stalls for 40 years - Why he believes being irrelevant is the only thing worse than being hated Thanks to Michael for coming on New Era Finance Podcast. Highlights: 00:00 - Intro 00:25 - Bitcoin Is Now Digital Capital 03:30 - Digital Credit, Invented In 12 Months 07:40 - Why Bitcoin Is Lagging The Market 12:15 - The Apple & Amazon Comparison 18:30 - Did Saylor Sell His Bitcoin? 21:00 - We Bought 175,000. We Sold 32. 25:00 - Defending The Credit & The Equity 29:30 - What If Bitcoin Stalls For 40 Years? 33:00 - The Warren Buffett Moment Is Coming 37:00 - Being Hated vs Being Irrelevant
40:09

"I haven't sold a single sat." Michael Saylor (Michael Saylor) is Executive Chairman of Strategy, the largest corporate holder of Bitcoin on earth. While crypto twitter blamed him for the correction over a 32-coin sale, he sat down with me in Prague and explained why Bitcoin is really lagging and why it has almost nothing to do with Bitcoin. "We bought 175,000 Bitcoin this year, which is like 20% of all the Bitcoin ever bought. We sold 32. 32 works out to be two basis points." We cover: - Why Bitcoin is lagging while the S&P prints all-time highs, the "massive AI black hole" pulling capital out of crypto - Why he thinks the money rotates back by Q4 - The 32-BTC sale, the scapegoat dynamic, and why he hasn't sold a sat of his own - Why a 50% drawdown is normal, the 2022 one was 75% - The Apple and Amazon adoption curve, and the "Warren Buffett moment" he says is still coming - What actually happens to Strategy if Bitcoin stalls for 40 years - Why he believes being irrelevant is the only thing worse than being hated Thanks to Michael for coming on New Era Finance Podcast. Highlights: 00:00 - Intro 00:25 - Bitcoin Is Now Digital Capital 03:30 - Digital Credit, Invented In 12 Months 07:40 - Why Bitcoin Is Lagging The Market 12:15 - The Apple & Amazon Comparison 18:30 - Did Saylor Sell His Bitcoin? 21:00 - We Bought 175,000. We Sold 32. 25:00 - Defending The Credit & The Equity 29:30 - What If Bitcoin Stalls For 40 Years? 33:00 - The Warren Buffett Moment Is Coming 37:00 - Being Hated vs Being Irrelevant

Michaël van de Poppe

527,636 görüntüleme • 1 ay önce

"You die before you die." Grant Cardone (Grant Cardone) lost his dad at 10. By 25 he was broke with a decade-long drug problem, overdosed three times, lost two friends along the way. No money. No connections. No reputation. Today: Cardone Capital, real estate empire, decades of studying how wealth actually moves. "There's a 75% chance every bill in your wallet was printed in the last ten years. Cash is trash. It always has been. Your job is to hustle the fiat and convert it into something real before they print the next trillion." We cover: — Why two-thirds of America is stuck in a middle-class trap that feels like success but isn't — The "die before you die" frame and why most people quit on themselves around age 40 — Why Goldman Sachs and Morgan Stanley don't actually have the answers (from someone who watched them up close) — How to "hustle the fiat", convert printed money into real assets before the next printing cycle — Why Grant is bullish on Bitcoin but won't touch gold (and the math behind both calls) — The "make a claim" decision that separates wealth from settling — Why working hard is the worst advice you can give anyone in the AI era — What Grant would tell his 25-year-old self standing at rock bottom — The one decision that changed everything Thanks to Grant for coming on New Era Finance Podcast. Highlights: 00:00 — Intro 00:50 — The Claim Decision 01:42 — Rock Bottom at 25 02:30 — You Die Before You Die 03:48 — The Middle Class Trap 06:00 — Why Money Matters 07:01 — 75% of Bills Printed Recently 07:25 — Hustle the Fiat 14:30 — Bitcoin vs Gold 18:00 — Make a Claim 22:00 — What I'd Tell My 25-Year-Old Self
26:49

"You die before you die." Grant Cardone (Grant Cardone) lost his dad at 10. By 25 he was broke with a decade-long drug problem, overdosed three times, lost two friends along the way. No money. No connections. No reputation. Today: Cardone Capital, real estate empire, decades of studying how wealth actually moves. "There's a 75% chance every bill in your wallet was printed in the last ten years. Cash is trash. It always has been. Your job is to hustle the fiat and convert it into something real before they print the next trillion." We cover: — Why two-thirds of America is stuck in a middle-class trap that feels like success but isn't — The "die before you die" frame and why most people quit on themselves around age 40 — Why Goldman Sachs and Morgan Stanley don't actually have the answers (from someone who watched them up close) — How to "hustle the fiat", convert printed money into real assets before the next printing cycle — Why Grant is bullish on Bitcoin but won't touch gold (and the math behind both calls) — The "make a claim" decision that separates wealth from settling — Why working hard is the worst advice you can give anyone in the AI era — What Grant would tell his 25-year-old self standing at rock bottom — The one decision that changed everything Thanks to Grant for coming on New Era Finance Podcast. Highlights: 00:00 — Intro 00:50 — The Claim Decision 01:42 — Rock Bottom at 25 02:30 — You Die Before You Die 03:48 — The Middle Class Trap 06:00 — Why Money Matters 07:01 — 75% of Bills Printed Recently 07:25 — Hustle the Fiat 14:30 — Bitcoin vs Gold 18:00 — Make a Claim 22:00 — What I'd Tell My 25-Year-Old Self

Michaël van de Poppe

172,907 görüntüleme • 2 ay önce

At 25, Peter St Onge, Ph.D. says he became a millionaire after betting everything on Yahoo during the dot-com boom. He retired to a Thai island. One day, he took a speedboat into town, logged into his account, and found almost all the money gone. Years later, he became one of the most followed economists online. In this episode, Peter argues that AI will take millions of entry-level office jobs. Over time, though, people who work with their hands could become much richer. He calls AI the opposite of the Industrial Revolution. I hope you enjoy our conversation: 00:00 Trailer 01:17 Peter gets rich, retires, and loses it all 07:07 Why trust makes countries richer 11:02 SkinIsSkin 12:25 Why experts got Trump wrong 13:57 How institutions protect the in-party 18:11 What America learned from the 1920s cuts 23:53 Why Peter defends some Trump tariffs 29:24 Why small business taxes matter 30:57 Why Peter says the Fed went rogue 37:25 Peter’s case for Bitcoin 45:07 What Milei changed in Argentina 47:23 Why Europe could change fast 52:18 Why AI could make workers richer 1:00:11 Rapid-fire questions 1:02:31 Where to follow Peter
1:03:00

At 25, Peter St Onge, Ph.D. says he became a millionaire after betting everything on Yahoo during the dot-com boom. He retired to a Thai island. One day, he took a speedboat into town, logged into his account, and found almost all the money gone. Years later, he became one of the most followed economists online. In this episode, Peter argues that AI will take millions of entry-level office jobs. Over time, though, people who work with their hands could become much richer. He calls AI the opposite of the Industrial Revolution. I hope you enjoy our conversation: 00:00 Trailer 01:17 Peter gets rich, retires, and loses it all 07:07 Why trust makes countries richer 11:02 SkinIsSkin 12:25 Why experts got Trump wrong 13:57 How institutions protect the in-party 18:11 What America learned from the 1920s cuts 23:53 Why Peter defends some Trump tariffs 29:24 Why small business taxes matter 30:57 Why Peter says the Fed went rogue 37:25 Peter’s case for Bitcoin 45:07 What Milei changed in Argentina 47:23 Why Europe could change fast 52:18 Why AI could make workers richer 1:00:11 Rapid-fire questions 1:02:31 Where to follow Peter

Magatte Wade

48,316 görüntüleme • 1 ay önce

How does math research change when the cost of trying your first dumb idea goes to zero? Daniel Litt joins Greg Burnham and Anson Ho to discuss what today’s models can and can’t do in math, and how far they are from doing high-quality research. 0:00:00 What's the hardest math problem AI can solve today? 00:16:08 How helpful are today’s AI models for math research? 00:23:36 Junk papers, LLM-generated proofs, and the refereeing crisis 00:27:21 AI enables searching through problems at scale 00:33:49 When will AI be good enough to publish in top math journals? 00:42:15 What are the returns to intelligence? 00:59:50 Will AI solve Millennium problems? 01:11:54 Is math full of low-hanging fruit? 01:18:47 How Daniel has adapted his professional life to AI progress 01:25:28 What do AI math benchmarks actually measure? 01:33:05 Designing the Open Problems benchmark 01:56:35 Do mathematicians believe heuristic arguments about conjectures? 02:01:24 What if FrontierMath: Open Problems gets solved? 02:06:53 Is AI on the cusp of accelerating math progress?
2:10:59

How does math research change when the cost of trying your first dumb idea goes to zero? Daniel Litt joins Greg Burnham and Anson Ho to discuss what today’s models can and can’t do in math, and how far they are from doing high-quality research. 0:00:00 What's the hardest math problem AI can solve today? 00:16:08 How helpful are today’s AI models for math research? 00:23:36 Junk papers, LLM-generated proofs, and the refereeing crisis 00:27:21 AI enables searching through problems at scale 00:33:49 When will AI be good enough to publish in top math journals? 00:42:15 What are the returns to intelligence? 00:59:50 Will AI solve Millennium problems? 01:11:54 Is math full of low-hanging fruit? 01:18:47 How Daniel has adapted his professional life to AI progress 01:25:28 What do AI math benchmarks actually measure? 01:33:05 Designing the Open Problems benchmark 01:56:35 Do mathematicians believe heuristic arguments about conjectures? 02:01:24 What if FrontierMath: Open Problems gets solved? 02:06:53 Is AI on the cusp of accelerating math progress?

Epoch AI

178,703 görüntüleme • 6 ay önce

You don’t know people as well as you think. Polina Pompliano studies the world’s highest performers—and what she’s found challenges how we think about success, creativity, and human behavior. From mental models to media bias to the hidden motivations driving people, this is a deep dive into how great thinkers actually see the world. TIMESTAMPS 00:00 – Intro 02:12 – How Polina Breaks Down High Performers 06:02 – Rationality vs Emotion 10:03 – Creativity and Logic 15:30 – The Power of Storytelling 19:00 – Building The Profile 22:29 – The Mask vs The Real Person 30:48 – Growing Up in Bulgaria 36:03 – What Freedom Actually Means 40:17 – Why We’re All in Ideological “Cults” 01:00:15 – What She Learned From Profiling People
1:07:07

You don’t know people as well as you think. Polina Pompliano studies the world’s highest performers—and what she’s found challenges how we think about success, creativity, and human behavior. From mental models to media bias to the hidden motivations driving people, this is a deep dive into how great thinkers actually see the world. TIMESTAMPS 00:00 – Intro 02:12 – How Polina Breaks Down High Performers 06:02 – Rationality vs Emotion 10:03 – Creativity and Logic 15:30 – The Power of Storytelling 19:00 – Building The Profile 22:29 – The Mask vs The Real Person 30:48 – Growing Up in Bulgaria 36:03 – What Freedom Actually Means 40:17 – Why We’re All in Ideological “Cults” 01:00:15 – What She Learned From Profiling People

Infinite Loops 🎙

50,994 görüntüleme • 4 ay önce

Why AI Can Now Make Discoveries - my conversation with Dan Roberts, Lead of the Foundations of Reinforcement Learning team at OpenAI 00:00 Intro: AI's wild week in mathematics 01:21 What OpenAI's Foundations of RL team does 03:08 Dan's journey: from black holes and quantum gravity to frontier AI 07:04 Are AI systems becoming useful for real science 08:21 The AI math moment: Erdős, OpenAI, DeepMind, and Anthropic 08:52 Why the OpenAI result was an act of exploration 10:25 OpenAI vs. DeepMind: informal reasoning vs. formal proof 12:13 RL 101: learning by doing, not just watching 15:10 Why reinforcement learning works 15:58 How RL breaks: sparse feedback and long-horizon tasks 17:03 RLHF: how human feedback shaped early language models 18:48 Move 37, self-play, and the search for novel strategies 22:16 Explore vs. exploit in scientific discovery 24:49 Why RL may now be "the cake," not the cherry on top 25:46 Why RL started working with large language models 27:29 Is RL "sucking supervision through a straw"? 28:47 Why language may be the grounding layer for intelligence 31:46 A contrarian take on the Bitter Lesson 32:41 What test-time compute actually is 34:50 How RL gives models the ability to think 35:40 Verifiable rewards, math, coding, and the messy real world 38:00 What physics can teach us about AI 42:08 Is there a thermodynamics of AI? 43:08 From Erdős problems to Einstein-level AI 45:16 Is AI already doing original science? 45:51 How far are we from AI automating AI research 47:41 Why Dan is excited about the future of science
49:06

Why AI Can Now Make Discoveries - my conversation with Dan Roberts, Lead of the Foundations of Reinforcement Learning team at OpenAI 00:00 Intro: AI's wild week in mathematics 01:21 What OpenAI's Foundations of RL team does 03:08 Dan's journey: from black holes and quantum gravity to frontier AI 07:04 Are AI systems becoming useful for real science 08:21 The AI math moment: Erdős, OpenAI, DeepMind, and Anthropic 08:52 Why the OpenAI result was an act of exploration 10:25 OpenAI vs. DeepMind: informal reasoning vs. formal proof 12:13 RL 101: learning by doing, not just watching 15:10 Why reinforcement learning works 15:58 How RL breaks: sparse feedback and long-horizon tasks 17:03 RLHF: how human feedback shaped early language models 18:48 Move 37, self-play, and the search for novel strategies 22:16 Explore vs. exploit in scientific discovery 24:49 Why RL may now be "the cake," not the cherry on top 25:46 Why RL started working with large language models 27:29 Is RL "sucking supervision through a straw"? 28:47 Why language may be the grounding layer for intelligence 31:46 A contrarian take on the Bitter Lesson 32:41 What test-time compute actually is 34:50 How RL gives models the ability to think 35:40 Verifiable rewards, math, coding, and the messy real world 38:00 What physics can teach us about AI 42:08 Is there a thermodynamics of AI? 43:08 From Erdős problems to Einstein-level AI 45:16 Is AI already doing original science? 45:51 How far are we from AI automating AI research 47:41 Why Dan is excited about the future of science

Matt Turck

66,936 görüntüleme • 2 ay önce

He just quit. He was a primary editor for Diary of a CEO. So I asked him to tell all of his secrets for how he helps the Diary of a CEO be the number 1 podcast on YouTube. 00:00:00 Why Trailers Are Essential for Podcast Growth 00:03:30 Why Most People Are Doing Trailers Wrong 00:06:36 From Film and TV to Diary of a CEO 00:11:48 Retention Rates and What They Actually Mean 00:14:52 What Actually Makes a Podcast Good 00:17:00 Why the Guest Is 50% of Everything 00:22:59 What Makes a Great Podcast Host 00:26:31 Red Flags in Podcast Trailers 00:30:33 The Jefferson Fisher Hook Breakdown 00:34:16 The Louis Tomlinson Hook Breakdown 00:42:35 The 15 Point Checklist for the Perfect Trailer 00:45:28 The Oz Pearlman Hook (41 Second Rule) 00:48:06 The Laughter Track Hack 00:54:11 Sound Design and Visual Details 00:57:04 How to Choose Music Like a Film Director 01:00:02 Disney Imagineering Lesson 01:02:46 The Vanessa Van Edwards Hook Breakdown 01:07:02 The Kevin Hart Narrative Arc Breakdown 01:16:40 The A-B-C Storytelling Framework 01:20:13 The Easiest Win You Can Implement Right Now 01:22:36 How Diary of a CEO Uses AI
1:30:01

He just quit. He was a primary editor for Diary of a CEO. So I asked him to tell all of his secrets for how he helps the Diary of a CEO be the number 1 podcast on YouTube. 00:00:00 Why Trailers Are Essential for Podcast Growth 00:03:30 Why Most People Are Doing Trailers Wrong 00:06:36 From Film and TV to Diary of a CEO 00:11:48 Retention Rates and What They Actually Mean 00:14:52 What Actually Makes a Podcast Good 00:17:00 Why the Guest Is 50% of Everything 00:22:59 What Makes a Great Podcast Host 00:26:31 Red Flags in Podcast Trailers 00:30:33 The Jefferson Fisher Hook Breakdown 00:34:16 The Louis Tomlinson Hook Breakdown 00:42:35 The 15 Point Checklist for the Perfect Trailer 00:45:28 The Oz Pearlman Hook (41 Second Rule) 00:48:06 The Laughter Track Hack 00:54:11 Sound Design and Visual Details 00:57:04 How to Choose Music Like a Film Director 01:00:02 Disney Imagineering Lesson 01:02:46 The Vanessa Van Edwards Hook Breakdown 01:07:02 The Kevin Hart Narrative Arc Breakdown 01:16:40 The A-B-C Storytelling Framework 01:20:13 The Easiest Win You Can Implement Right Now 01:22:36 How Diary of a CEO Uses AI

Grant

205,444 görüntüleme • 20 gün önce

Start 2026 with a deep dive into the world of book publishing. Jimmy Soni ( Jimmy Soni ), CEO and EIC of Infinite Books, is back on Infinite Loops to discuss what’s broken in traditional publishing, how we’re fixing it, and why the world needs more “problem authors.” We also explore why most industries optimize for prestige instead of outcomes, how digital distribution has reshaped attention, and why authors and creators have more leverage than they realize. Enjoy and keep reading! TIMESTAMPS: 0:00 Intro 5:00 What Traditional Publishing Gets Wrong 9:30 Why Book Covers (and A/B Testing) Actually Matter 14:30 Prestige Industries and Resistance to Change 20:30 Authors, Power, and the Shift in Incentives 28:00 Writers’ Rooms, AI, and Rethinking the Creative Process 36:30 Long-Term Thinking in Publishing and Marketing 55:15 The Story Behind The Dao of Kobe 1:15:30 What It Means to Be a “Problem Author”
1:37:13

Start 2026 with a deep dive into the world of book publishing. Jimmy Soni ( Jimmy Soni ), CEO and EIC of Infinite Books, is back on Infinite Loops to discuss what’s broken in traditional publishing, how we’re fixing it, and why the world needs more “problem authors.” We also explore why most industries optimize for prestige instead of outcomes, how digital distribution has reshaped attention, and why authors and creators have more leverage than they realize. Enjoy and keep reading! TIMESTAMPS: 0:00 Intro 5:00 What Traditional Publishing Gets Wrong 9:30 Why Book Covers (and A/B Testing) Actually Matter 14:30 Prestige Industries and Resistance to Change 20:30 Authors, Power, and the Shift in Incentives 28:00 Writers’ Rooms, AI, and Rethinking the Creative Process 36:30 Long-Term Thinking in Publishing and Marketing 55:15 The Story Behind The Dao of Kobe 1:15:30 What It Means to Be a “Problem Author”

Infinite Loops 🎙

32,864 görüntüleme • 7 ay önce

I sat down with Nik Bhatia, ex-Treasury bond trader, USC professor, and author of Layered Money and The Bitcoin Age. While Bloomberg's Mike McGlone is calling Bitcoin to $10,000, Nik Bhatia says $1 million is coming sooner than anyone thinks. "The US built the global dollar system but lost control over how it works. $12-15 trillion in offshore Eurodollar claims operate outside any American regulatory authority. Stablecoins are the tool that brings it all back." He just published a paper with the Bitcoin Policy Institute and is presenting it in Washington DC this week. Full episode on New Era Finance Podcast. TIMESTAMPS: 00:00 — Why $1 Million Bitcoin is Inevitable 05:00 — The $15 Trillion Eurodollar Problem 12:00 — Stablecoins as Statecraft: His DC Paper 18:00 — The GENIUS Act Changes Everything 25:00 — Why the Fed Already Lost Control 32:00 — Bitcoin is Replacing the Treasury Bond 40:00 — Layered Money: How the System Actually Works 48:00 — Why This is the Time to Buy Bitcoin 55:00 — The Macro Reset Nobody Sees Coming
1:11:41

I sat down with Nik Bhatia, ex-Treasury bond trader, USC professor, and author of Layered Money and The Bitcoin Age. While Bloomberg's Mike McGlone is calling Bitcoin to $10,000, Nik Bhatia says $1 million is coming sooner than anyone thinks. "The US built the global dollar system but lost control over how it works. $12-15 trillion in offshore Eurodollar claims operate outside any American regulatory authority. Stablecoins are the tool that brings it all back." He just published a paper with the Bitcoin Policy Institute and is presenting it in Washington DC this week. Full episode on New Era Finance Podcast. TIMESTAMPS: 00:00 — Why $1 Million Bitcoin is Inevitable 05:00 — The $15 Trillion Eurodollar Problem 12:00 — Stablecoins as Statecraft: His DC Paper 18:00 — The GENIUS Act Changes Everything 25:00 — Why the Fed Already Lost Control 32:00 — Bitcoin is Replacing the Treasury Bond 40:00 — Layered Money: How the System Actually Works 48:00 — Why This is the Time to Buy Bitcoin 55:00 — The Macro Reset Nobody Sees Coming

Michaël van de Poppe

45,404 görüntüleme • 3 ay önce