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Most people are using Retatrutide wrong. Here is the masterclass. 00:00 Intro and why I'm doing these masterclasses 04:04 The two users: weight loss vs longevity 05:30 What Retatrutide actually does 07:54 Weight loss trial data (1mg to 12mg) 10:50 The longevity data most people ignore 13:50 The titration... show more

Hunter Williams

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59,146 görüntüleme • 2 ay önce •via X (Twitter)

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Retatrutide just posted Phase 3 numbers that are hard to ignore. ~30% average body weight loss. ~70 pounds lost. Even the lowest dose outperformed what used to be considered best-in-class. But the most interesting part of the story isn't the weight loss. It's the thousands of people already using grey-market Retatrutide before there's an approved pharmacy version available. What did the trials actually do? What dose produced the best balance of results and tolerability? And why might the biggest risk have nothing to do with the drug itself?

Retatrutide just posted Phase 3 numbers that are hard to ignore. ~30% average body weight loss. ~70 pounds lost. Even the lowest dose outperformed what used to be considered best-in-class. But the most interesting part of the story isn't the weight loss. It's the thousands of people already using grey-market Retatrutide before there's an approved pharmacy version available. What did the trials actually do? What dose produced the best balance of results and tolerability? And why might the biggest risk have nothing to do with the drug itself?

Dr. Alex Tatem

232,454 görüntüleme • 2 ay önce

RETA Is More Powerful... But Is It Better Than Tirzepatide? 00:00 RETA vs Tirzepatide: Which Is Actually Better? 01:52 Why RETA Was Created 02:32 Why RETA Causes More Weight Loss 03:38 The Biggest Downside of RETA 04:27 RETA vs Tirzepatide for Muscle Retention 05:48 Why Tirzepatide Is the Goldilocks Option 06:48 Who Should Actually Use RETA? 07:21 When RETA Might Be Better For You 08:02 My Final Recommendation 09:20 How to Get Started With Tirzepatide

RETA Is More Powerful... But Is It Better Than Tirzepatide? 00:00 RETA vs Tirzepatide: Which Is Actually Better? 01:52 Why RETA Was Created 02:32 Why RETA Causes More Weight Loss 03:38 The Biggest Downside of RETA 04:27 RETA vs Tirzepatide for Muscle Retention 05:48 Why Tirzepatide Is the Goldilocks Option 06:48 Who Should Actually Use RETA? 07:21 When RETA Might Be Better For You 08:02 My Final Recommendation 09:20 How to Get Started With Tirzepatide

Greg O'Gallagher

21,723 görüntüleme • 1 ay önce

Andrew Huberman just broke down the next wave of weight-loss drugs on Gwyneth Paltrow’s goop podcast. He says the new triple agonist Retatrutide (currently in trials) is a big step up from Ozempic and Mounjaro. It hits three pathways (GLP-1 + glucagon + GIP) more gently, leading to significant weight loss with potentially less muscle loss and fewer side effects. People are already hunting for gray/black market versions. Early trial data on Retatrutide showed participants losing up to 24% of their body weight over 48 weeks, with notably better muscle preservation compared to earlier GLP-1 drugs when combined with resistance training. These next-generation drugs are becoming more targeted, but access, safety, and proper use remain key issues. This conversation made the rapid evolution of these drugs feel very real. It’s wild how fast this space is moving. What’s your take on the new generation of GLP drugs like Retatrutide?

Andrew Huberman just broke down the next wave of weight-loss drugs on Gwyneth Paltrow’s goop podcast. He says the new triple agonist Retatrutide (currently in trials) is a big step up from Ozempic and Mounjaro. It hits three pathways (GLP-1 + glucagon + GIP) more gently, leading to significant weight loss with potentially less muscle loss and fewer side effects. People are already hunting for gray/black market versions. Early trial data on Retatrutide showed participants losing up to 24% of their body weight over 48 weeks, with notably better muscle preservation compared to earlier GLP-1 drugs when combined with resistance training. These next-generation drugs are becoming more targeted, but access, safety, and proper use remain key issues. This conversation made the rapid evolution of these drugs feel very real. It’s wild how fast this space is moving. What’s your take on the new generation of GLP drugs like Retatrutide?

Camus

359,435 görüntüleme • 2 ay önce

Join my conversation with Elon Musk on AGI timelines, energy, robots, and why abundance is the most likely outcome for humanity's future, alongside my Moonshot Mate NOTDAVID! (00:00) - Navigating the Future of AI and Robotics (04:54) - The Promise of Abundance and Optimism (10:02) - Energy: The Key to a Sustainable Future (15:00) - The Role of Education in a Changing World (41:07) - Health, Longevity, and the Future of Humanity (50:51) - AI's Impact on Labor and Employment (55:05) - Universal High Income: A New Economic Paradigm (57:58) - Navigating the Singularity and AI's Acceleration (01:02:30) - The Role of AI in Healthcare and Surgery (01:08:22) - Ethics and AI: Programming Values into Machines (01:14:18) - The Future of Space Exploration and AI's Role (01:33:30) - The Chip Shortage Crisis (01:42:46) - Simulation Theory and Consciousness (01:48:18) - The Search for Extraterrestrial Life (01:58:28) - The Future of Robotics and AI Integration

Join my conversation with Elon Musk on AGI timelines, energy, robots, and why abundance is the most likely outcome for humanity's future, alongside my Moonshot Mate NOTDAVID! (00:00) - Navigating the Future of AI and Robotics (04:54) - The Promise of Abundance and Optimism (10:02) - Energy: The Key to a Sustainable Future (15:00) - The Role of Education in a Changing World (41:07) - Health, Longevity, and the Future of Humanity (50:51) - AI's Impact on Labor and Employment (55:05) - Universal High Income: A New Economic Paradigm (57:58) - Navigating the Singularity and AI's Acceleration (01:02:30) - The Role of AI in Healthcare and Surgery (01:08:22) - Ethics and AI: Programming Values into Machines (01:14:18) - The Future of Space Exploration and AI's Role (01:33:30) - The Chip Shortage Crisis (01:42:46) - Simulation Theory and Consciousness (01:48:18) - The Search for Extraterrestrial Life (01:58:28) - The Future of Robotics and AI Integration

Peter H. Diamandis, MD

6,232,369 görüntüleme • 6 ay önce

I debated a Bitcoin skeptic (who's also a CFA charter holder!) about Bitcoin's future TIME STAMPS: 00:00 Intro 02:06 Is Bitcoin better than fiat? 09:17 Bitcoin speculation 12:50 How many people are speculating on Bitcoin? 14:40 The benefits of Fiat 18:50 Most people are hurt by fiat today 25:25 Who should control the money? 38:00 The US Dollar benefits America the most 44:00 The majority of people will never understand Bitcoin 46:20 What's the end goal with Bitcoin? 55:15 Nobody can be certain of Bitcoin's future 01:00:21 Is Bitcoin transparent? 01:04:19 The majority of people don't study Bitcoin Special thanks to @JLarge53 for having this conversation and Maurizio Pedrazzoli Grazioli for moderating!

I debated a Bitcoin skeptic (who's also a CFA charter holder!) about Bitcoin's future TIME STAMPS: 00:00 Intro 02:06 Is Bitcoin better than fiat? 09:17 Bitcoin speculation 12:50 How many people are speculating on Bitcoin? 14:40 The benefits of Fiat 18:50 Most people are hurt by fiat today 25:25 Who should control the money? 38:00 The US Dollar benefits America the most 44:00 The majority of people will never understand Bitcoin 46:20 What's the end goal with Bitcoin? 55:15 Nobody can be certain of Bitcoin's future 01:00:21 Is Bitcoin transparent? 01:04:19 The majority of people don't study Bitcoin Special thanks to @JLarge53 for having this conversation and Maurizio Pedrazzoli Grazioli for moderating!

Rajat Soni, CFA

80,427 görüntüleme • 1 yıl önce

E162: CoinGecko: How CoinGecko became crypto's most trusted data layer Bobby Ong is the co-founder and CEO of CoinGecko - the data backbone of the crypto industry, bootstrapped with $200 and now rumoured to be worth $500M. We get into the CoinMarketCap vs CoinGecko debate, a failed NFT acquisition, and the sale rumour he can't fully deny. Timestamps: 0:00 Intro 5:10 What is CoinGecko? 13:35 Partnerships: Jupiter KAST Sumsub 23:58 What’s the deal with Pudgy Penguins? 30:25 Partnerships: Trezor @BitwiseInvest Sui 34:00 Don’t Chase Fast Cash 40:41 The Most Painful Moment of CoinGecko 50:20 Explain CoinGecko To Your Mom 1:08:08 What’s The Playbook To Survive the Cycle 1:16:01 Why Stay in Malaysia? 1:24:00 Is being #2 Frustrating or Motivating? 1:27:17 CoinMarketCap vs CoinGecko 1:30:00 Why Your Big Bet Didn’t Work Out 1:35:00 Red Flags in Acquisitions 1:38:00 CoinGecko Being Sold For $500M Rumor 1:39:00 When Is The Right Moment to Sell?

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MR SHIFT 🦁

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My conversation with OpenAI co-founder Greg Brockman This is the most detailed first-person account of the 72 hours after Sam Altman was fired. We also go deep on what comes next: the global race to AGI, why ChatGPT stopped showing reasoning, how much of OpenAI's own code is now written by AI ("it's hard to know what percent is not"), and the untold story of how OpenAI actually started in 2015. 00:00:00 Introduction 00:00:49 Meeting Sam Altman and Starting OpenAI 00:02:40 Building the Founding Team 00:04:25 DeepMind's Lead Over OpenAI 00:04:54 Changing OpenAI to a For-Profit Model 00:06:05 Breakthrough Moments at OpenAI 00:08:22 What Dota 2 Meant for OpenAI 00:10:04 Reasoning Versus Prediction 00:11:59 Tensions Grow at OpenAI 00:15:44 Sam Altman's Firing 00:17:49 Greg Quits OpenAI 00:19:56 Sam Explores Deal with Microsoft's Satya 00:20:28 Petition for Altman's Return 00:23:43 Ilya Sutskever Leaves OpenAI 00:24:59 Lessons Learned after Sam Ousting 00:28:22 The Thing Ilya Said that Greg Can't Forget 00:32:22 Is AI Going Parabolic? 00:33:24 How Much of OpenAI's Code is Written by AI? 00:36:21 Do AI Chatbots Tell Us What We Want to Hear? 00:38:06 The Global AI Race to Reach AGI 00:38:40 What Happens if US Doesn't Reach AGI First? 00:39:49 Are Countries Stealing AI Advancements? 00:40:38 Why ChatGPT No Longer Shows Reasoning 00:41:47 The Finite Constraints of Compute 00:43:38 On Investing Early in Data Centers 00:46:31 The Future of Data Center Specialization 00:47:52 How to Decide Whose Queries to Serve 00:49:08 OpenAI on Consumer vs Enterprise Models 00:53:05 Data Centers in Space? 01:00:56 What Should AI Regulation Look Like? 01:04:33 The Future of AI-Powered Entrepreneurship 01:04:44 AI and Job Loss 01:07:15 The Skills Young People Should Invest In 01:11:30 What Does Success Look Like For You? Full episode on X below. Also find it on: • YouTube: • Spotify: • Apple:

My conversation with OpenAI co-founder Greg Brockman This is the most detailed first-person account of the 72 hours after Sam Altman was fired. We also go deep on what comes next: the global race to AGI, why ChatGPT stopped showing reasoning, how much of OpenAI's own code is now written by AI ("it's hard to know what percent is not"), and the untold story of how OpenAI actually started in 2015. 00:00:00 Introduction 00:00:49 Meeting Sam Altman and Starting OpenAI 00:02:40 Building the Founding Team 00:04:25 DeepMind's Lead Over OpenAI 00:04:54 Changing OpenAI to a For-Profit Model 00:06:05 Breakthrough Moments at OpenAI 00:08:22 What Dota 2 Meant for OpenAI 00:10:04 Reasoning Versus Prediction 00:11:59 Tensions Grow at OpenAI 00:15:44 Sam Altman's Firing 00:17:49 Greg Quits OpenAI 00:19:56 Sam Explores Deal with Microsoft's Satya 00:20:28 Petition for Altman's Return 00:23:43 Ilya Sutskever Leaves OpenAI 00:24:59 Lessons Learned after Sam Ousting 00:28:22 The Thing Ilya Said that Greg Can't Forget 00:32:22 Is AI Going Parabolic? 00:33:24 How Much of OpenAI's Code is Written by AI? 00:36:21 Do AI Chatbots Tell Us What We Want to Hear? 00:38:06 The Global AI Race to Reach AGI 00:38:40 What Happens if US Doesn't Reach AGI First? 00:39:49 Are Countries Stealing AI Advancements? 00:40:38 Why ChatGPT No Longer Shows Reasoning 00:41:47 The Finite Constraints of Compute 00:43:38 On Investing Early in Data Centers 00:46:31 The Future of Data Center Specialization 00:47:52 How to Decide Whose Queries to Serve 00:49:08 OpenAI on Consumer vs Enterprise Models 00:53:05 Data Centers in Space? 01:00:56 What Should AI Regulation Look Like? 01:04:33 The Future of AI-Powered Entrepreneurship 01:04:44 AI and Job Loss 01:07:15 The Skills Young People Should Invest In 01:11:30 What Does Success Look Like For You? Full episode on X below. Also find it on: • YouTube: • Spotify: • Apple:

Shane Parrish

450,952 görüntüleme • 3 ay önce

. OpenLedger x : The full episode Our core contributor Ram sat down with Sreeram Kannan (founder ) to discuss verifiable AI, crypto's app problem, AI's trust problem and much more Check out the video below to learn more Timestamps: 00:00 Sreeram's introduction 00:29 How to build verification for AI systems 01:27 The Crypto and AI problem 03:10 Unstoppable AGI 05:08 What is Verifiable AI 06:05 The Verifiability Problem with Centralized AI 07:15 The current state of AI and its future 08:48 How humans are getting better at intelligence extraction 10:31 What is OpenLedger doing 11:50 Where LLMs fall short and how co-ordination helps 12:50 SLMs are already there 13:29 Crypto as an incentivisation mechanism 15:38 Apps with commitments, achieving product market fit 16:50 Existing examples of commitments in society 18:24 Investable AI 19:00 Data contributors as co-owner 21:30 The solution for the incentivisation problem 22:25 Explaining explainable AI 23:58 Trusting the trustless way 25:07 Data is the new oil 25:40 The idea of openledger is very crypto native 26:50 David v Goliath (in the data perspective) 28:03 What Eigen is working on 29:06 Making unstoppable verifiable AI practically possible 32:20 What Sreeram uses for productivity 33:30 Make Eigen Labs agentic 34:16 (community question) How Sreeram frames his prompts 36:08 (community question) What's the momentum driver for blockchain apps and what is Sreeram most excited about? (ZkTLS) 38:54 (community question) Where is attribution and verification really needed in AI?

. OpenLedger x : The full episode Our core contributor Ram sat down with Sreeram Kannan (founder ) to discuss verifiable AI, crypto's app problem, AI's trust problem and much more Check out the video below to learn more Timestamps: 00:00 Sreeram's introduction 00:29 How to build verification for AI systems 01:27 The Crypto and AI problem 03:10 Unstoppable AGI 05:08 What is Verifiable AI 06:05 The Verifiability Problem with Centralized AI 07:15 The current state of AI and its future 08:48 How humans are getting better at intelligence extraction 10:31 What is OpenLedger doing 11:50 Where LLMs fall short and how co-ordination helps 12:50 SLMs are already there 13:29 Crypto as an incentivisation mechanism 15:38 Apps with commitments, achieving product market fit 16:50 Existing examples of commitments in society 18:24 Investable AI 19:00 Data contributors as co-owner 21:30 The solution for the incentivisation problem 22:25 Explaining explainable AI 23:58 Trusting the trustless way 25:07 Data is the new oil 25:40 The idea of openledger is very crypto native 26:50 David v Goliath (in the data perspective) 28:03 What Eigen is working on 29:06 Making unstoppable verifiable AI practically possible 32:20 What Sreeram uses for productivity 33:30 Make Eigen Labs agentic 34:16 (community question) How Sreeram frames his prompts 36:08 (community question) What's the momentum driver for blockchain apps and what is Sreeram most excited about? (ZkTLS) 38:54 (community question) Where is attribution and verification really needed in AI?

OpenLedger

274,794 görüntüleme • 1 yıl önce

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

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

42,703 görüntüleme • 2 ay önce

Yafah Edelmen and David Owen of Epoch AI reveal why AI could solve the Riemann hypothesis in 5 years, and what 30% GDP growth actually looks like. They explain why "energy bottlenecks" are just companies complaining about paying 2x for power instead of getting it cheap and the most data-driven take on whether we're racing toward superintelligence or headed for history's biggest bubble. Timestamps 00:00 - Introduction 02:51 - Pre-training plateaus vs post-training innovations 05:10 - Why software-only singularity seems unlikely 11:16 - Evaluating Dario's bold predictions on AI capabilities 16:12 - AI's labor market impact over the next decade 24:27 - Computer use breakthroughs and real-world utility 28:06 - GDP growth forecasts: from 1% to 30% scenarios 35:00 - What comes after current benchmarks are solved 37:16 - Timeline for AI solving major math problems 46:54 - Robotics as primarily a hardware problem 50:06 - Data center infrastructure reality vs hype Yafah Edelman @everysum Marco Mascorro Erik Torenberg

Yafah Edelmen and David Owen of Epoch AI reveal why AI could solve the Riemann hypothesis in 5 years, and what 30% GDP growth actually looks like. They explain why "energy bottlenecks" are just companies complaining about paying 2x for power instead of getting it cheap and the most data-driven take on whether we're racing toward superintelligence or headed for history's biggest bubble. Timestamps 00:00 - Introduction 02:51 - Pre-training plateaus vs post-training innovations 05:10 - Why software-only singularity seems unlikely 11:16 - Evaluating Dario's bold predictions on AI capabilities 16:12 - AI's labor market impact over the next decade 24:27 - Computer use breakthroughs and real-world utility 28:06 - GDP growth forecasts: from 1% to 30% scenarios 35:00 - What comes after current benchmarks are solved 37:16 - Timeline for AI solving major math problems 46:54 - Robotics as primarily a hardware problem 50:06 - Data center infrastructure reality vs hype Yafah Edelman @everysum Marco Mascorro Erik Torenberg

a16z

25,833 görüntüleme • 8 ay önce

BG2 Guest Interview. AI Enterprise - Databricks & Glean 💥Why AIs Fail and Where Real Value Emerges Bg2 Pod Apoorv Agrawal Ali Ghodsi Arvind Jain --- (00:00) Intro (01:00) Consumer AI vs. Enterprise Reality (02:15) Why 95% of AI Projects Fail (04:15) RBC, Merck, and 7-Eleven Use Cases (06:45) What Actually Makes AI Work (07:00) LLMs Are Commodities—Data Is the Moat (08:45) Failed AI Bets at Databricks & Glean (11:00) RPA vs. Generative AI (14:15) Advice for CIOs Planning AI Budgets (16:00) AI CapEx and the Revenue Math (18:00) The Three Camps of AI (21:00) Making AI Useful Inside Enterprises (24:30) Why Apps Capture the Value (30:00) The Future of UI, Voice, and Data Entry (37:30) Rapid Fire: Winners, Bubbles, Long/Short

BG2 Guest Interview. AI Enterprise - Databricks & Glean 💥Why AIs Fail and Where Real Value Emerges Bg2 Pod Apoorv Agrawal Ali Ghodsi Arvind Jain --- (00:00) Intro (01:00) Consumer AI vs. Enterprise Reality (02:15) Why 95% of AI Projects Fail (04:15) RBC, Merck, and 7-Eleven Use Cases (06:45) What Actually Makes AI Work (07:00) LLMs Are Commodities—Data Is the Moat (08:45) Failed AI Bets at Databricks & Glean (11:00) RPA vs. Generative AI (14:15) Advice for CIOs Planning AI Budgets (16:00) AI CapEx and the Revenue Math (18:00) The Three Camps of AI (21:00) Making AI Useful Inside Enterprises (24:30) Why Apps Capture the Value (30:00) The Future of UI, Voice, and Data Entry (37:30) Rapid Fire: Winners, Bubbles, Long/Short

Bg2 Pod

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Why build games on Avalanche? Coop⏱️ shares the playbook & insights on why Avalanche🔺 is attracting the likes of Off the Grid and MapleStory. Which 🔺 games are you most excited for? 01:05 Introduction 02:32 Coop's Journey Into Web3 06:31 Why Build Games on Avalanche? 10:30 What Is a "Successful" Web3 Game 15:48 Avalanche's Marketing Strategy 19:50 Why Avalanche9000? 22:40 Trading Up In Gaming 26:00 Challenges of "Betting on Winners" 28:48 Why So Many Avax Shooters? 30:25 Exciting Updates 34:41 Avalanche Regional Focus 39:12 Future Focus and Success Metrics 42:30 Why Rebrand Subnets to L1s 44:38 Final Thoughts and Hidden Gems

Why build games on Avalanche? Coop⏱️ shares the playbook & insights on why Avalanche🔺 is attracting the likes of Off the Grid and MapleStory. Which 🔺 games are you most excited for? 01:05 Introduction 02:32 Coop's Journey Into Web3 06:31 Why Build Games on Avalanche? 10:30 What Is a "Successful" Web3 Game 15:48 Avalanche's Marketing Strategy 19:50 Why Avalanche9000? 22:40 Trading Up In Gaming 26:00 Challenges of "Betting on Winners" 28:48 Why So Many Avax Shooters? 30:25 Exciting Updates 34:41 Avalanche Regional Focus 39:12 Future Focus and Success Metrics 42:30 Why Rebrand Subnets to L1s 44:38 Final Thoughts and Hidden Gems

GAMES.GG

411,789 görüntüleme • 1 yıl önce

Running Through Ethereum with hamdi (Ep. 1) I started craic overflow because I had questions about where Ethereum is headed, and I wanted to ask them to the people shaping it. I decided to interview Hamdi while jogging because as a software engineer, I honestly spend way too much time sitting on my ass. Never been more bullish on the future of Ethereum. 00:00 - Intro 00:08 - Hamdi 00:40 - What's The Craic? 01:59 - How did Hamdi get into crypto? 02:40 - Why not plasma? 03:24 - Working at OP Labs/Optimism 04:06 - Shipping L2 Interoperability 05:12 - Building on the Superchain 05:30 - Asynchronicity in Solidity 07:00 - Predications for Ethereum 08:46 - What are the hurdles for Ethereum? 09:47 - Stablecoins 10:22 - Application specific chains 11:53 - Wallet UX 13:18 - Quick breather 13:30 - Why are you in crypto? 14:20 - How do you find balance? 16:20 - Hot take on ETH the asset 17:39 - The chains security 18:53 - Market talk 19:45 - Data availability 21:01 - Onchain L2 configs 21:22 - Outro

Running Through Ethereum with hamdi (Ep. 1) I started craic overflow because I had questions about where Ethereum is headed, and I wanted to ask them to the people shaping it. I decided to interview Hamdi while jogging because as a software engineer, I honestly spend way too much time sitting on my ass. Never been more bullish on the future of Ethereum. 00:00 - Intro 00:08 - Hamdi 00:40 - What's The Craic? 01:59 - How did Hamdi get into crypto? 02:40 - Why not plasma? 03:24 - Working at OP Labs/Optimism 04:06 - Shipping L2 Interoperability 05:12 - Building on the Superchain 05:30 - Asynchronicity in Solidity 07:00 - Predications for Ethereum 08:46 - What are the hurdles for Ethereum? 09:47 - Stablecoins 10:22 - Application specific chains 11:53 - Wallet UX 13:18 - Quick breather 13:30 - Why are you in crypto? 14:20 - How do you find balance? 16:20 - Hot take on ETH the asset 17:39 - The chains security 18:53 - Market talk 19:45 - Data availability 21:01 - Onchain L2 configs 21:22 - Outro

malone

11,924 görüntüleme • 1 yıl önce

Ep 105 out now on X! Joe Lonsdale sits down with @mbrendan1, founder & chair of Cosmos Institute Harnessing AI for freedom vs control; doomsayers vs e/acc; training "philosopher builders"; why LLMs can't reason; and more. (00:00) Episode intro (02:04) Submarines to building AI companies (06:00) Why Philosopher Builders are needed (13:20) Why AI poses unique challenges (20:50) Doomsayers vs Accelerationists (25:50) Philosophical frameworks for human flourishing (30:10) Regulators & techno-authoritarians (37:34) AI running for political office? (40:07) LLMs don't know how to reason (42:30) Purpose of the Cosmos Institute

Ep 105 out now on X! Joe Lonsdale sits down with @mbrendan1, founder & chair of Cosmos Institute Harnessing AI for freedom vs control; doomsayers vs e/acc; training "philosopher builders"; why LLMs can't reason; and more. (00:00) Episode intro (02:04) Submarines to building AI companies (06:00) Why Philosopher Builders are needed (13:20) Why AI poses unique challenges (20:50) Doomsayers vs Accelerationists (25:50) Philosophical frameworks for human flourishing (30:10) Regulators & techno-authoritarians (37:34) AI running for political office? (40:07) LLMs don't know how to reason (42:30) Purpose of the Cosmos Institute

American Optimist

49,282 görüntüleme • 1 yıl önce

MOTS-c is encoded in your mitochondrial DNA. Not your nuclear DNA. It was only discovered in 2015. Most people using it still do not understand what it actually does. Here's my full masterclass on it. Free. 00:00 Intro and why MOTS-c is misunderstood 02:48 What MOTS-c actually is 04:12 Discovery and the mitochondrial genome 06:28 How MOTS-c works: AMPK and dual action 10:40 MOTS-c vs SS-31 and humanin 11:58 Who should use it 14:18 Who should skip it 17:30 Dosing tiers and timeline 24:00 Cycling MOTS-c 27:18 Pairing with SS-31 and humanin 31:00 Reconstitution and injection 33:36 Tracking and stacking 35:48 Troubleshooting and side effects 38:10 FAQ 41:12 Where the science is heading 42:42 Final takeaways

MOTS-c is encoded in your mitochondrial DNA. Not your nuclear DNA. It was only discovered in 2015. Most people using it still do not understand what it actually does. Here's my full masterclass on it. Free. 00:00 Intro and why MOTS-c is misunderstood 02:48 What MOTS-c actually is 04:12 Discovery and the mitochondrial genome 06:28 How MOTS-c works: AMPK and dual action 10:40 MOTS-c vs SS-31 and humanin 11:58 Who should use it 14:18 Who should skip it 17:30 Dosing tiers and timeline 24:00 Cycling MOTS-c 27:18 Pairing with SS-31 and humanin 31:00 Reconstitution and injection 33:36 Tracking and stacking 35:48 Troubleshooting and side effects 38:10 FAQ 41:12 Where the science is heading 42:42 Final takeaways

Hunter Williams

33,825 görüntüleme • 1 ay önce

How can you be broke when you can just do this? The agency model is one of the fastest ways to build real income online. (0:00) Why agencies are the fastest path to wealth (02:15) Why most people fail at starting a business (04:40) The two types of agencies dominating right now (07:10) Email marketing: The goldmine nobody’s talking about (09:25) Virtual assistant agencies and why they’re scaling fast (12:00) The #1 mistake new agency owners make (14:30) How to start with zero experience today

How can you be broke when you can just do this? The agency model is one of the fastest ways to build real income online. (0:00) Why agencies are the fastest path to wealth (02:15) Why most people fail at starting a business (04:40) The two types of agencies dominating right now (07:10) Email marketing: The goldmine nobody’s talking about (09:25) Virtual assistant agencies and why they’re scaling fast (12:00) The #1 mistake new agency owners make (14:30) How to start with zero experience today

Tai Lopez

771,192 görüntüleme • 1 yıl önce

The “good old days” were not as good as you think. Chelsea Follett (Chelsea Olivia Follett) joins Infinite Loops to explain why the past was far more brutal than nostalgia suggests — and why progress is real, fragile, and worth defending. TIMESTAMPS 0:00 Intro 02:24 Why We Romanticize the Past 04:00 Child Mortality and Modern Medicine 07:04 Rousseau and the Myth of Nature 09:00 The False View of History 12:24 Life Was Nasty, Brutal, and Short 22:02 Why Doomsday Predictions Persist 31:23 Science Is Never Settled 54:32 Freedom, Systems, and Progress 01:12:26 What Blocks Progress Today? 01:26:02 Chelsea’s Two Ideas for the World

The “good old days” were not as good as you think. Chelsea Follett (Chelsea Olivia Follett) joins Infinite Loops to explain why the past was far more brutal than nostalgia suggests — and why progress is real, fragile, and worth defending. TIMESTAMPS 0:00 Intro 02:24 Why We Romanticize the Past 04:00 Child Mortality and Modern Medicine 07:04 Rousseau and the Myth of Nature 09:00 The False View of History 12:24 Life Was Nasty, Brutal, and Short 22:02 Why Doomsday Predictions Persist 31:23 Science Is Never Settled 54:32 Freedom, Systems, and Progress 01:12:26 What Blocks Progress Today? 01:26:02 Chelsea’s Two Ideas for the World

Infinite Loops 🎙

11,670 görüntüleme • 2 ay önce

🎓 Why can’t rational people just agree to disagree? In this episode, Steven Pinker unpacks how common knowledge shapes truth, trust, and the invisible rules holding civilization together—from markets and morality to AI and belief itself. Timestamp: 00:00 Intro 00:58 When common knowledge is wrong 02:37 The role of common knowledge in social coordination 08:48 Free will and determinism 14:48 Judging a book by its cover 21:08 Government suppression and common knowledge 30:08 The agree to disagree theorem 34:54 Generosity and charity in human affairs 41:12 The role of common knowledge in religious beliefs 48:31 LLMs and common knowledge 50:39 Outro

🎓 Why can’t rational people just agree to disagree? In this episode, Steven Pinker unpacks how common knowledge shapes truth, trust, and the invisible rules holding civilization together—from markets and morality to AI and belief itself. Timestamp: 00:00 Intro 00:58 When common knowledge is wrong 02:37 The role of common knowledge in social coordination 08:48 Free will and determinism 14:48 Judging a book by its cover 21:08 Government suppression and common knowledge 30:08 The agree to disagree theorem 34:54 Generosity and charity in human affairs 41:12 The role of common knowledge in religious beliefs 48:31 LLMs and common knowledge 50:39 Outro

INTO THE IMPOSSIBLE Podcast

14,291 görüntüleme • 9 ay önce

The full conversation with Brent Beshore 0:00 – Intro 0:54 – Examining Your Life 04:50 – Fixing Relationships 15:10 – How Helping Can Hurt 27:19 – Control 35:42 – Impact of Drinking 45:35 – Running a Business With Love 55:40 – Win-Win Relationships 1:00:40 – Debt 1:14:34 – Incentives 1:24:14 – How to Hire and Fire CEOs 1:29:24 – What most people miss about hiring 1:39:25 – Brent’s Playbook after buying a company 1:46:26 – On Projections 1:50:58 – Revisiting Investments and Keeping Score 1:53:50 – To Be Hands-Off or Not 2:03:40 – Where People Go Wrong in Private Equity 2:09:13 – What is Success?

The full conversation with Brent Beshore 0:00 – Intro 0:54 – Examining Your Life 04:50 – Fixing Relationships 15:10 – How Helping Can Hurt 27:19 – Control 35:42 – Impact of Drinking 45:35 – Running a Business With Love 55:40 – Win-Win Relationships 1:00:40 – Debt 1:14:34 – Incentives 1:24:14 – How to Hire and Fire CEOs 1:29:24 – What most people miss about hiring 1:39:25 – Brent’s Playbook after buying a company 1:46:26 – On Projections 1:50:58 – Revisiting Investments and Keeping Score 1:53:50 – To Be Hands-Off or Not 2:03:40 – Where People Go Wrong in Private Equity 2:09:13 – What is Success?

Shane Parrish

107,921 görüntüleme • 2 yıl önce

🚨 THE PEPTIDES BULL CASE FOR $HIMS Jonah Lupton - Founder & CIO of FirstWave Capital We discuss how peptides fit into Jonah's thesis for Hims, Jonah's $30K/year peptide regimen, the possibility of Hims x Lilly, retatrutide, and why he thinks Hims could 10x over the next 10 years 02:34 - How Jonah got into peptides 03:39 - Current Hims position 05:04 - Original Hims thesis in the teens 09:12 - FDA peptide timeline & July meeting 15:03 - Peptides are "80% of the thesis" 18:37 - Jonah's personal peptide stack 26:00 - Spending $30K a year on peptides 28:47 - Black market and WhatsApp China 30:25 - Gray market and the COA problem 31:05 - Why Hims wins on legitimacy 32:36 - Best, not first 32:54 - Frustration with Hims transparency 35:28 - Speed vs the Apple approach 37:45 - Surviving the Novo scare 42:46 - Branded vs compounded future 44:41 - Why Lilly matters more than Novo 50:18 - Valuation and the 2035 model 57:04 - Wrap up and other peptide plays Not financial, legal, or medical advice

🚨 THE PEPTIDES BULL CASE FOR $HIMS Jonah Lupton - Founder & CIO of FirstWave Capital We discuss how peptides fit into Jonah's thesis for Hims, Jonah's $30K/year peptide regimen, the possibility of Hims x Lilly, retatrutide, and why he thinks Hims could 10x over the next 10 years 02:34 - How Jonah got into peptides 03:39 - Current Hims position 05:04 - Original Hims thesis in the teens 09:12 - FDA peptide timeline & July meeting 15:03 - Peptides are "80% of the thesis" 18:37 - Jonah's personal peptide stack 26:00 - Spending $30K a year on peptides 28:47 - Black market and WhatsApp China 30:25 - Gray market and the COA problem 31:05 - Why Hims wins on legitimacy 32:36 - Best, not first 32:54 - Frustration with Hims transparency 35:28 - Speed vs the Apple approach 37:45 - Surviving the Novo scare 42:46 - Branded vs compounded future 44:41 - Why Lilly matters more than Novo 50:18 - Valuation and the 2035 model 57:04 - Wrap up and other peptide plays Not financial, legal, or medical advice

Hims House

123,384 görüntüleme • 3 ay önce