Video wird geladen...

Video konnte nicht geladen werden

Zur Startseite

🚨 POD UP! The Core Four are back! -- Dario Amodei Breaks His Silence: Regulatory Capture or Real Concern? -- The Anti-Data Center Revolt: Abbott, Shapiro, and the GOP Panic Memo -- A "DMV for AI"? Sacks Says the Open Source Ban Is Coming -- Friedberg's RSI Thesis: Why...

theallinpod's profile picture

The All-In Podcast

591,225 subscribers

257,639 Aufrufe • vor 10 Tagen •via X (Twitter)

Wissenschaft & TechnologieNachrichten & Politik
LIVE

Anya Rossi• Live Now

Private livecam show

0 Kommentare

Keine Kommentare verfügbar

Kommentare vom Original-Post werden hier angezeigt

Ähnliche Videos

🚨 Special Friday episode - this one couldn't wait. OpenAI's model hacked Hugging Face. As a side quest. Co-founder and CSO Thomas Wolf takes us inside the first autonomous AI attack, why GLM 5.2, rather than Claude, had to stop it, and what it all means for the future of open source. 00:00 An AI Agent Hacked Hugging Face 00:30 Introduction 01:00 17,000 Attacker Events, and a Strange Target 04:28 The Attack Was a “Side Quest” 06:13 AI Training Runs Left Notes for Each Other 07:09 Closed AI Refused to Help 09:47 Fighting Back With an Open-Source Model 13:15 Open vs. Closed Is the Wrong Safety Debate 15:46 AI Agents Start Social-Engineering Humans 22:24 The Three Walls: Sandboxes, Guardrails, Alignment 24:34 “Neuralese”: Can Humans Still Read AI Reasoning? 25:28 Why Monitoring AI Agents Gets So Hard 28:10 Reward Hacking and the “Paperclip Problem” 32:02 The State of Open-Source AI in 2026 33:47 Router Models and the Enterprise Shift to Open 37:01 The Real Economics of Open Models 39:41 Can Chinese AI Models Be Trusted? 41:37 AI Sovereignty: Who Controls the Switch? 43:16 Why Western Open-Source AI Matters 48:16 Is AI Heading Toward an Oligopoly? 49:41 The Race Toward Recursive Self-Improvement 51:54 Why Thomas Signed the AI Slowdown Letter 55:14 AI Slowdown - or Regulatory Capture?
57:41

🚨 Special Friday episode - this one couldn't wait. OpenAI's model hacked Hugging Face. As a side quest. Co-founder and CSO Thomas Wolf takes us inside the first autonomous AI attack, why GLM 5.2, rather than Claude, had to stop it, and what it all means for the future of open source. 00:00 An AI Agent Hacked Hugging Face 00:30 Introduction 01:00 17,000 Attacker Events, and a Strange Target 04:28 The Attack Was a “Side Quest” 06:13 AI Training Runs Left Notes for Each Other 07:09 Closed AI Refused to Help 09:47 Fighting Back With an Open-Source Model 13:15 Open vs. Closed Is the Wrong Safety Debate 15:46 AI Agents Start Social-Engineering Humans 22:24 The Three Walls: Sandboxes, Guardrails, Alignment 24:34 “Neuralese”: Can Humans Still Read AI Reasoning? 25:28 Why Monitoring AI Agents Gets So Hard 28:10 Reward Hacking and the “Paperclip Problem” 32:02 The State of Open-Source AI in 2026 33:47 Router Models and the Enterprise Shift to Open 37:01 The Real Economics of Open Models 39:41 Can Chinese AI Models Be Trusted? 41:37 AI Sovereignty: Who Controls the Switch? 43:16 Why Western Open-Source AI Matters 48:16 Is AI Heading Toward an Oligopoly? 49:41 The Race Toward Recursive Self-Improvement 51:54 Why Thomas Signed the AI Slowdown Letter 55:14 AI Slowdown - or Regulatory Capture?

Matt Turck

87,266 Aufrufe • vor 24 Tagen

POD UP! 🚨 Sacks is BACK... and the legendary Bill Gurley fills in for Friedberg! -- Pope Leo vs AI -- Anthropic's Digital God -- Open Source Under Attack? -- The Great AI Jobs Debate ++ Much More! (0:00) Bill Gurley joins the show! (6:00) Making yourself valuable in the age of AI, first class of "AI Natives" (17:37) Reacting to Pope Leo's AI encyclical: Who guards the guardians? (26:54) Anthropic's Digital God: Do they believe they are creating a superior species? (38:32) AI sovereignty, the next era of privacy, open-source crackdown coming? (59:56) The Great AI Jobs Debate: Dario and Altman flip their rhetoric, Goldman CEO says no AI job apocalypse
1:34:56

POD UP! 🚨 Sacks is BACK... and the legendary Bill Gurley fills in for Friedberg! -- Pope Leo vs AI -- Anthropic's Digital God -- Open Source Under Attack? -- The Great AI Jobs Debate ++ Much More! (0:00) Bill Gurley joins the show! (6:00) Making yourself valuable in the age of AI, first class of "AI Natives" (17:37) Reacting to Pope Leo's AI encyclical: Who guards the guardians? (26:54) Anthropic's Digital God: Do they believe they are creating a superior species? (38:32) AI sovereignty, the next era of privacy, open-source crackdown coming? (59:56) The Great AI Jobs Debate: Dario and Altman flip their rhetoric, Goldman CEO says no AI job apocalypse

The All-In Podcast

350,528 Aufrufe • vor 3 Monaten

POD UP 🚨 Tucker is BACK with the Besties! Tucker Carlson joins to break down: - Paramount vs Netflix, future of media - The rise of Nick Fuentes - The anti-AI sentiment from conservatives - Midterms, Fall of Europe, Israel, Qatar, and more! (0:00) Tucker joins the besties! (4:11) Paramount vs Netflix: bidding war over Warner Bros Discovery (25:40) What's behind the rise of Nick Fuentes and America First? (49:13) Understanding the Anti-AI sentiment (1:21:52) Tucker in 20: Venezuela, Midterm issues, fall of Europe, Qatar, Charlie Kirk investigation, leaving NATO, supporting Israel
1:38:30

POD UP 🚨 Tucker is BACK with the Besties! Tucker Carlson joins to break down: - Paramount vs Netflix, future of media - The rise of Nick Fuentes - The anti-AI sentiment from conservatives - Midterms, Fall of Europe, Israel, Qatar, and more! (0:00) Tucker joins the besties! (4:11) Paramount vs Netflix: bidding war over Warner Bros Discovery (25:40) What's behind the rise of Nick Fuentes and America First? (49:13) Understanding the Anti-AI sentiment (1:21:52) Tucker in 20: Venezuela, Midterm issues, fall of Europe, Qatar, Charlie Kirk investigation, leaving NATO, supporting Israel

The All-In Podcast

408,499 Aufrufe • vor 8 Monaten

🚨 POD UP!: Besties are back -- Anthropic's generational run -- OpenAI: Panic mode or finally getting focused? -- AI moats and the 100x future -- Brand value in the age of AI -- Meta found liable in two major cases -- Sacks and Friedberg join PCAST! (0:00) Bestie intros!: Friedberg for Governor of California? (2:25) Anthropic's generational run (15:45) OpenAI: getting focused or panic mode? (36:56) AI valuation impacts, moats, and disruption (43:58) Liquidity speaker announcements, the 100x AI moment (50:35) Two landmark social media verdicts against Meta (1:12:46) Sacks and Friedberg join PCAST!
1:20:10

🚨 POD UP!: Besties are back -- Anthropic's generational run -- OpenAI: Panic mode or finally getting focused? -- AI moats and the 100x future -- Brand value in the age of AI -- Meta found liable in two major cases -- Sacks and Friedberg join PCAST! (0:00) Bestie intros!: Friedberg for Governor of California? (2:25) Anthropic's generational run (15:45) OpenAI: getting focused or panic mode? (36:56) AI valuation impacts, moats, and disruption (43:58) Liquidity speaker announcements, the 100x AI moment (50:35) Two landmark social media verdicts against Meta (1:12:46) Sacks and Friedberg join PCAST!

The All-In Podcast

212,916 Aufrufe • vor 5 Monaten

🚨Besties are BACK!🚨 The core four cover: -- Bernie's datacenter moratorium, why should the average American care about the AI race? -- Solutions for fixing AI's negative perception -- China's major EUV breakthrough, what this means for ASML and the AI race -- Inflation, unemployment, jobs, could we see "Golden Age" starting in 2026? -- Are the rest of the Besties moving to Texas!? (0:00) Bestie intros! (0:19) Bernie Sanders calls for AI datacenter moratorium, how to solve the negative perception of AI (17:15) Anti-AI astroturfing: Is the AI sentiment manufactured by special interests? (32:39) Economy: Unemployment, jobs, inflation, are we primed for a "Golden Age" or not? (51:44) Dog Corner! (59:56) China's major AI breakthrough: lithography, impact on the AI race? (1:19:43) Are the rest of the besties moving to Texas?
1:30:26

🚨Besties are BACK!🚨 The core four cover: -- Bernie's datacenter moratorium, why should the average American care about the AI race? -- Solutions for fixing AI's negative perception -- China's major EUV breakthrough, what this means for ASML and the AI race -- Inflation, unemployment, jobs, could we see "Golden Age" starting in 2026? -- Are the rest of the Besties moving to Texas!? (0:00) Bestie intros! (0:19) Bernie Sanders calls for AI datacenter moratorium, how to solve the negative perception of AI (17:15) Anti-AI astroturfing: Is the AI sentiment manufactured by special interests? (32:39) Economy: Unemployment, jobs, inflation, are we primed for a "Golden Age" or not? (51:44) Dog Corner! (59:56) China's major AI breakthrough: lithography, impact on the AI race? (1:19:43) Are the rest of the besties moving to Texas?

The All-In Podcast

492,940 Aufrufe • vor 8 Monaten

> "In no scenario is it bad for the US to have frontier-class open-source models." > "Every time there’s a step-function improvement in AI, a human bottleneck emerges alongside it." > "Your desire to be liked sometimes takes away from your desire to do the right thing and seek the truth." > "Every job will get refactored. The people who aren’t AI fluent will have a very hard time finding jobs." Jeetu Patel (Jeetu Patel), President & Chief Product Officer at Cisco sat down for an expansive talk about life and the future. 00:00 AI, jobs, and human potential 00:41 AI cybersecurity and Cisco’s security models 06:33 Why Cisco released the models openly 08:08 Running AI models locally 10:12 Why people are negative about AI 12:14 Will humans always be needed? 14:56 Can curiosity and ambition be taught? 17:12 Passion vs. expertise 19:39 The importance of unlearning 23:52 How to find the truth 26:06 How to get people excited about AI 33:35 How open source affects the AI industry 35:07 Can open-source AI make money? 46:44 Are Chinese open-source models good for the US? 49:55 Should the US restrict Chinese AI models? 53:05 Does open source make humanity safer? 54:11 Advice for people worried about AI
57:20

> "In no scenario is it bad for the US to have frontier-class open-source models." > "Every time there’s a step-function improvement in AI, a human bottleneck emerges alongside it." > "Your desire to be liked sometimes takes away from your desire to do the right thing and seek the truth." > "Every job will get refactored. The people who aren’t AI fluent will have a very hard time finding jobs." Jeetu Patel (Jeetu Patel), President & Chief Product Officer at Cisco sat down for an expansive talk about life and the future. 00:00 AI, jobs, and human potential 00:41 AI cybersecurity and Cisco’s security models 06:33 Why Cisco released the models openly 08:08 Running AI models locally 10:12 Why people are negative about AI 12:14 Will humans always be needed? 14:56 Can curiosity and ambition be taught? 17:12 Passion vs. expertise 19:39 The importance of unlearning 23:52 How to find the truth 26:06 How to get people excited about AI 33:35 How open source affects the AI industry 35:07 Can open-source AI make money? 46:44 Are Chinese open-source models good for the US? 49:55 Should the US restrict Chinese AI models? 53:05 Does open source make humanity safer? 54:11 Advice for people worried about AI

Matthew Berman

69,339 Aufrufe • vor 1 Monat

My conversation with Tarun Chitra As a co-founder of Gauntlet and GP at Robot Ventures, Tarun has one of the sharpest frameworks for understanding market structure across both crypto and AI. In this episode we dig into why open source AI is unbundling faster than most people expect, and how the resulting stack looks surprisingly similar to DeFi. We spend time mapping the AI infrastructure layers directly onto crypto primitives and examining where value is actually going to accrue as models, harnesses, routers, and inference providers separate. At the center of the conversation is the belief that AI’s unbundling is creating a new competitive order-flow market (data centers competing like nodes, MEV-like dynamics for tokens/GPUs) while crypto itself has settled into a more mature “TradFi plus+” phase focused on trading, payments, and bringing real assets on-chain. We discuss: - The current state of crypto as TradFi+ and the decline of speculative narratives - Why AI is killing Bitcoin mining economics and weakening ETH value accrual - The architectural parallel between AI stacks and DeFi (Harnesses = Wallets, Routers = DEX aggregators, Models = Protocols, Inference Providers = LPs) - Why open source models are unbundling faster than traditional software - Agents as the next interface layer and the potential unbundling of ETFs -Cryptography, verifiable compute, and turning GPUs into digital assets - Onchain compute trading as the real crypto × AI opportunity - Sustainable business models and where value will ultimately capture Timestamps: 0:00 – Introduction & State of the Crypto Market 2:00 – Speculative Narratives Fade, Trading & Payments Remain 7:00 – AI’s Impact on Bitcoin Economics & Data Center Opportunity Cost 9:00 – ETH Value Accrual, Solana Positioning & DeFi Token Sustainability 15:00 – Trading Design Space & On-Chain Volume Upside 25:00 – AI Unbundling Thesis: Open-Source Models vs Data Centers 35:00 – The DeFi Mapping (Harnesses, Routers, Models, Inference) 48:00 – Agents, Preference Expression & Unbundling Traditional Products 1:00:00 – Real-Time Harness Generation & Active Learning 1:05:00 – Cryptography, Verifiable Compute & On-Chain GPU Markets 1:10:00 – Closing Thoughts: Where Value Accrues Next Enjoy!
1:13:04

My conversation with Tarun Chitra As a co-founder of Gauntlet and GP at Robot Ventures, Tarun has one of the sharpest frameworks for understanding market structure across both crypto and AI. In this episode we dig into why open source AI is unbundling faster than most people expect, and how the resulting stack looks surprisingly similar to DeFi. We spend time mapping the AI infrastructure layers directly onto crypto primitives and examining where value is actually going to accrue as models, harnesses, routers, and inference providers separate. At the center of the conversation is the belief that AI’s unbundling is creating a new competitive order-flow market (data centers competing like nodes, MEV-like dynamics for tokens/GPUs) while crypto itself has settled into a more mature “TradFi plus+” phase focused on trading, payments, and bringing real assets on-chain. We discuss: - The current state of crypto as TradFi+ and the decline of speculative narratives - Why AI is killing Bitcoin mining economics and weakening ETH value accrual - The architectural parallel between AI stacks and DeFi (Harnesses = Wallets, Routers = DEX aggregators, Models = Protocols, Inference Providers = LPs) - Why open source models are unbundling faster than traditional software - Agents as the next interface layer and the potential unbundling of ETFs -Cryptography, verifiable compute, and turning GPUs into digital assets - Onchain compute trading as the real crypto × AI opportunity - Sustainable business models and where value will ultimately capture Timestamps: 0:00 – Introduction & State of the Crypto Market 2:00 – Speculative Narratives Fade, Trading & Payments Remain 7:00 – AI’s Impact on Bitcoin Economics & Data Center Opportunity Cost 9:00 – ETH Value Accrual, Solana Positioning & DeFi Token Sustainability 15:00 – Trading Design Space & On-Chain Volume Upside 25:00 – AI Unbundling Thesis: Open-Source Models vs Data Centers 35:00 – The DeFi Mapping (Harnesses, Routers, Models, Inference) 48:00 – Agents, Preference Expression & Unbundling Traditional Products 1:00:00 – Real-Time Harness Generation & Active Learning 1:05:00 – Cryptography, Verifiable Compute & On-Chain GPU Markets 1:10:00 – Closing Thoughts: Where Value Accrues Next Enjoy!

Logan Jastremski

132,018 Aufrufe • vor 20 Tagen

🚨 POD UP! The Core Four is BACK The Besties discuss: -- Can the AI Industry Regulate Itself? -- Stripe Bids $53B for PayPal w/ Block and Advent ($PYPL) -- The Death of Tokenmaxxing? -- Apple Sues OpenAI ($AAPL) -- Grok Build Data Leak ($SPCX) -- The Datacenter Psyop, NY's Ban -- Science Corner: Aging Reversal Breakthrough? (0:00) Bestie intros! (1:32) New AI regulatory proposal: DeepMind's Demis Hassabis proposes FINRA-type body (20:01) Stripe, Block, and Advent offer $53B to acquire PayPal (37:51) Apple sues OpenAI, alleging stolen trade secrets (42:49) Grok Build data leak, AI data privacy, Tokenmaxxing update, Mira Murati's new model (59:53) NY bans datacenters, China catches up (1:22:57) Science Corner: New data on reversing aging!
1:29:54

🚨 POD UP! The Core Four is BACK The Besties discuss: -- Can the AI Industry Regulate Itself? -- Stripe Bids $53B for PayPal w/ Block and Advent ($PYPL) -- The Death of Tokenmaxxing? -- Apple Sues OpenAI ($AAPL) -- Grok Build Data Leak ($SPCX) -- The Datacenter Psyop, NY's Ban -- Science Corner: Aging Reversal Breakthrough? (0:00) Bestie intros! (1:32) New AI regulatory proposal: DeepMind's Demis Hassabis proposes FINRA-type body (20:01) Stripe, Block, and Advent offer $53B to acquire PayPal (37:51) Apple sues OpenAI, alleging stolen trade secrets (42:49) Grok Build data leak, AI data privacy, Tokenmaxxing update, Mira Murati's new model (59:53) NY bans datacenters, China catches up (1:22:57) Science Corner: New data on reversing aging!

The All-In Podcast

282,519 Aufrufe • vor 1 Monat

For nearly two decades, Box co-founder and CEO Aaron Levie (Aaron Levie) has been at the frontlines of how technology reshapes work—guiding the company through the rise of mobile, the cloud, and now the age of AI. In his fireside with YC's David Lieb at AI Startup School, Aaron reflects on adapting a company for the long term, staying relevant across multiple waves, and why he believes AI is the most transformative shift yet. 00:00 – AI hype vs. reality inside companies 01:00 – Early days: starting Box in 2005 03:30 – Pivoting from consumer storage to enterprise cloud 05:45 – Cloud transition lessons vs. AI today 07:10 – Why unstructured data is AI’s biggest opportunity 09:05 – Will AI replace jobs or create more work? 13:15 – Startups vs. incumbents in the AI era 15:20 – Finding the next “nouns and verbs” for startups 20:25 – Rethinking SaaS business models for AI agents 27:05 – Why companies won’t just build everything in-house 31:15 – Advice to young founders 35:40 – Fulfillment and meaning of life 36:40 – Enterprise design and craft in SaaS 39:00 – Competing with incumbents
40:27

For nearly two decades, Box co-founder and CEO Aaron Levie (Aaron Levie) has been at the frontlines of how technology reshapes work—guiding the company through the rise of mobile, the cloud, and now the age of AI. In his fireside with YC's David Lieb at AI Startup School, Aaron reflects on adapting a company for the long term, staying relevant across multiple waves, and why he believes AI is the most transformative shift yet. 00:00 – AI hype vs. reality inside companies 01:00 – Early days: starting Box in 2005 03:30 – Pivoting from consumer storage to enterprise cloud 05:45 – Cloud transition lessons vs. AI today 07:10 – Why unstructured data is AI’s biggest opportunity 09:05 – Will AI replace jobs or create more work? 13:15 – Startups vs. incumbents in the AI era 15:20 – Finding the next “nouns and verbs” for startups 20:25 – Rethinking SaaS business models for AI agents 27:05 – Why companies won’t just build everything in-house 31:15 – Advice to young founders 35:40 – Fulfillment and meaning of life 36:40 – Enterprise design and craft in SaaS 39:00 – Competing with incumbents

Y Combinator

236,530 Aufrufe • vor 11 Monaten

Caught up with Andrej Karpathy for a new No Priors: on the phase shift in engineering, AI psychosis, claws, AutoResearch, the opportunity for a SETI-at-Home like movement in AI, the model landscape, and second order effects 02:55 - What Capability Limits Remain? 06:15 - What Mastery of Coding Agents Looks Like 11:16 - Second Order Effects of Coding Agents 15:51 - Why AutoResearch 22:45 - Relevant Skills in the AI Era 28:25 - Model Speciation 32:30 - Collaboration Surfaces for Humans and AI 37:28 - Analysis of Jobs Market Data 48:25 - Open vs. Closed Source Models 53:51 - Autonomous Robotics and Atoms 1:00:59 - MicroGPT and Agentic Education 1:05:40 - End Thoughts
1:06:31

Caught up with Andrej Karpathy for a new No Priors: on the phase shift in engineering, AI psychosis, claws, AutoResearch, the opportunity for a SETI-at-Home like movement in AI, the model landscape, and second order effects 02:55 - What Capability Limits Remain? 06:15 - What Mastery of Coding Agents Looks Like 11:16 - Second Order Effects of Coding Agents 15:51 - Why AutoResearch 22:45 - Relevant Skills in the AI Era 28:25 - Model Speciation 32:30 - Collaboration Surfaces for Humans and AI 37:28 - Analysis of Jobs Market Data 48:25 - Open vs. Closed Source Models 53:51 - Autonomous Robotics and Atoms 1:00:59 - MicroGPT and Agentic Education 1:05:40 - End Thoughts

sarah guo

3,045,931 Aufrufe • vor 5 Monaten

EPISODE 160: Joe Lonsdale sits down with Aaron Levie "The actual creators of AI are scared sh*tless." — Aaron's take on tech's cognitive dissonance. "So you actually want people to die of cancer, right?" — on politicians trying to ban data centers And more: -- Why Geoffrey Hinton is wrong about AI job destruction -- China's Kimi K3 wake-up moment -- What doomers & accelerationists both get wrong -- 13 new categories of AI jobs at Box -- Law firms (law firms!) building their own AI models (00:00) Episode intro (01:15) AI wave / every two months is a year now (06:30) China, Kimi K3 & open-source debate (10:45) Diffusion is the real rate limiter (15:50) Agent-first startups vs incumbents (19:00) Nobody reads those contracts — AI's new work (23:35) Silicon Valley's AI Problem / Larry David making AI models (29:20) 13 new types of AI jobs at Box (32:20) The origins of Box / dropping out of college (37:00) Favorite angel investments right now (40:20) Optimism for America's future
43:21

EPISODE 160: Joe Lonsdale sits down with Aaron Levie "The actual creators of AI are scared sh*tless." — Aaron's take on tech's cognitive dissonance. "So you actually want people to die of cancer, right?" — on politicians trying to ban data centers And more: -- Why Geoffrey Hinton is wrong about AI job destruction -- China's Kimi K3 wake-up moment -- What doomers & accelerationists both get wrong -- 13 new categories of AI jobs at Box -- Law firms (law firms!) building their own AI models (00:00) Episode intro (01:15) AI wave / every two months is a year now (06:30) China, Kimi K3 & open-source debate (10:45) Diffusion is the real rate limiter (15:50) Agent-first startups vs incumbents (19:00) Nobody reads those contracts — AI's new work (23:35) Silicon Valley's AI Problem / Larry David making AI models (29:20) 13 new types of AI jobs at Box (32:20) The origins of Box / dropping out of college (37:00) Favorite angel investments right now (40:20) Optimism for America's future

American Optimist

140,965 Aufrufe • vor 1 Monat

"AI doesn't take your job. AI makes you the CEO." Balaji Srinivasan joins a16z’s Erik Torenberg for a conversation on the future of the AI economy, decentralization, and how work changes in an AI-native world, including: - How distillation and open source could decentralize AI power - Why AI lowers the cost of creation but raises the cost of verification - The shift from global internet to “trusted tribes” and private AI - Why humans are the sensor and AI is the actuator 00:00 Intro 02:06 Why you want AI inside the trusted tribe, not outside it 05:35 The Problem with AI slop 09:25 Where AI works 17:08 "AI can't read your mind, but it can read your body." 30:10 "AI doesn't take your job. AI makes you the CEO." 46:01 The SaaSpocalypse: Real or overblown? 49:19 What happens if AI companies get bigger than governments? Balaji Erik Torenberg
1:05:44

"AI doesn't take your job. AI makes you the CEO." Balaji Srinivasan joins a16z’s Erik Torenberg for a conversation on the future of the AI economy, decentralization, and how work changes in an AI-native world, including: - How distillation and open source could decentralize AI power - Why AI lowers the cost of creation but raises the cost of verification - The shift from global internet to “trusted tribes” and private AI - Why humans are the sensor and AI is the actuator 00:00 Intro 02:06 Why you want AI inside the trusted tribe, not outside it 05:35 The Problem with AI slop 09:25 Where AI works 17:08 "AI can't read your mind, but it can read your body." 30:10 "AI doesn't take your job. AI makes you the CEO." 46:01 The SaaSpocalypse: Real or overblown? 49:19 What happens if AI companies get bigger than governments? Balaji Erik Torenberg

a16z

163,295 Aufrufe • vor 4 Monaten

Open source AI just became the biggest policy fight in tech. Our full conversation with Ben Horowitz, where he tells Theo and Sofia why banning open source is nearly impossible, why it's historically the safer path, the risk of one company controlling AI and why distillation isn't the threat people claim. 01:21 The Nvidia-backed open letter on open-weight AI 01:49 The OpenAI–Hugging Face hacking incident 02:27 Why you can't actually ban open source 03:05 Historically, open source has been safer (Linux vs. Windows) 05:17 Jensen's Twitter account and the letter's significance 07:25 China, "sleeper agent" models, and national security risk 09:23 Anthropic defying the US government 15:18 The danger of building your business on Anthropic 18:51 BYD, EVs, and rebuilding US manufacturing 21:30 Why would a company ever release an open model? 23:58 The DeepSeek moment: why nothing actually changed 28:25 Paying 100x more for an AI researcher vs. a janitor 29:06 AI art, the "slop" problem, and a coming renaissance benahorowitz.eth Theo Jaffee sof 𓋹
33:01

Open source AI just became the biggest policy fight in tech. Our full conversation with Ben Horowitz, where he tells Theo and Sofia why banning open source is nearly impossible, why it's historically the safer path, the risk of one company controlling AI and why distillation isn't the threat people claim. 01:21 The Nvidia-backed open letter on open-weight AI 01:49 The OpenAI–Hugging Face hacking incident 02:27 Why you can't actually ban open source 03:05 Historically, open source has been safer (Linux vs. Windows) 05:17 Jensen's Twitter account and the letter's significance 07:25 China, "sleeper agent" models, and national security risk 09:23 Anthropic defying the US government 15:18 The danger of building your business on Anthropic 18:51 BYD, EVs, and rebuilding US manufacturing 21:30 Why would a company ever release an open model? 23:58 The DeepSeek moment: why nothing actually changed 28:25 Paying 100x more for an AI researcher vs. a janitor 29:06 AI art, the "slop" problem, and a coming renaissance benahorowitz.eth Theo Jaffee sof 𓋹

MTS

11,246 Aufrufe • vor 1 Monat

Besties are back! 🚨 -- $55B EA take private, largest LBO ever -- Saudi's gaming strategy -- Is PE cooked? -- The AI rollup opportunity -- SPAC 2.0 -- AI video apps: slop or future of content? -- China's open source AI dominance -- State AI regulation frenzy (0:00) Bestie intros! (1:53) EA acquired for $55B in biggest LBO ever, why PE is in trouble (17:42) IPO market, SPAC 2.0 (27:41) The AI rollup opportunity (36:01) Sacks joins the show! (38:27) OpenAI and Meta launch short-form video apps: "AI Slop" or the future of content? (45:04) Open source AI: DeepSeek's new model, pressure on US AI industry (1:05:11) State AI regulation frenzy: States' rights vs Federal control, overregulation
1:29:30

Besties are back! 🚨 -- $55B EA take private, largest LBO ever -- Saudi's gaming strategy -- Is PE cooked? -- The AI rollup opportunity -- SPAC 2.0 -- AI video apps: slop or future of content? -- China's open source AI dominance -- State AI regulation frenzy (0:00) Bestie intros! (1:53) EA acquired for $55B in biggest LBO ever, why PE is in trouble (17:42) IPO market, SPAC 2.0 (27:41) The AI rollup opportunity (36:01) Sacks joins the show! (38:27) OpenAI and Meta launch short-form video apps: "AI Slop" or the future of content? (45:04) Open source AI: DeepSeek's new model, pressure on US AI industry (1:05:11) State AI regulation frenzy: States' rights vs Federal control, overregulation

The All-In Podcast

568,097 Aufrufe • vor 11 Monaten

BG2. AI Bubble or Buildout? $3T CapEx, Stablecoin Boom, and Gurley’s Next Chapter 👊💥 Brad Gerstner Bill Gurley Bg2 Pod (00:00) Intro (02:00) Two Years of BG2 (03:45) Bill Stepping Back to Write His Book (07:00) The AI CapEx Bubble? (13:00) Nvidia’s Investments: Healthy or Hype? (19:15) $3 Trillion CapEx: Are We Overbuilding AI? (25:30) OpenAI’s Race for Escape Velocity (28:30) AI Regulation: State Patchwork Madness (30:30) Why Federal Preemption Is Critical (35:00) Stablecoin Surge: $18T in Settlements (36:45) Gurley’s Crypto Conversion (38:30) From PIX to FedNow: The Future of Digital Money (41:00) Coinbase, Circle, and the 4% Yield Revolution (46:00) Brad on Invest America (Trump Accounts) (49:00) Implementation Timeline & Treasury Update (50:30) Bill’s Book: Running Down a Dream (53:15) The Great Career Reset: Passion vs. Grind (55:00) Bezos’ Regret Minimization Framework (57:00) Who the Book Is For (59:00) Gurley’s Next Mission
1:01:49

BG2. AI Bubble or Buildout? $3T CapEx, Stablecoin Boom, and Gurley’s Next Chapter 👊💥 Brad Gerstner Bill Gurley Bg2 Pod (00:00) Intro (02:00) Two Years of BG2 (03:45) Bill Stepping Back to Write His Book (07:00) The AI CapEx Bubble? (13:00) Nvidia’s Investments: Healthy or Hype? (19:15) $3 Trillion CapEx: Are We Overbuilding AI? (25:30) OpenAI’s Race for Escape Velocity (28:30) AI Regulation: State Patchwork Madness (30:30) Why Federal Preemption Is Critical (35:00) Stablecoin Surge: $18T in Settlements (36:45) Gurley’s Crypto Conversion (38:30) From PIX to FedNow: The Future of Digital Money (41:00) Coinbase, Circle, and the 4% Yield Revolution (46:00) Brad on Invest America (Trump Accounts) (49:00) Implementation Timeline & Treasury Update (50:30) Bill’s Book: Running Down a Dream (53:15) The Great Career Reset: Passion vs. Grind (55:00) Bezos’ Regret Minimization Framework (57:00) Who the Book Is For (59:00) Gurley’s Next Mission

Bg2 Pod

560,004 Aufrufe • vor 10 Monaten

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 Aufrufe • vor 1 Monat

Inside Nemotron and NVIDIA's AI lab: my conversation with Bryan Catanzaro (Bryan Catanzaro). NVIDIA is a chip company. So why does it put hundreds of researchers on building AI models - and then give them away for free? We go deep into the Nemotron models, what it takes to build a top AI lab, and the future of frontier AI. 01:33 - Is open source AI catching the frontier? 05:29 - Do closed labs blocking distillation slow open source down? 07:42 - Is the US falling behind China? 10:30 - Why companies actually choose open models 12:39 - A "crazy" 2008 bet: machine learning on GPUs 15:33 - Working with Andrew Ng and Dario Amodei at Baidu 17:41 - Coming back to NVIDIA: DLSS and the birth of Megatron 21:55 - The real reason NVIDIA builds its own models 24:28 - Is Moore's Law really dead? 33:37 - The Nemotron family: Nano, Super, Ultra 35:09 - Built for agents: why NVIDIA bets on speed 36:02 - How you train a 550B model in 4 bits 39:25 - Hybrid Mamba-Transformer, explained simply 42:31 - Mixture of experts, and why NVIDIA built NVL72 around it 47:26 - Why a 1-million-token context window matters 49:26 - Multi-token prediction: how the model predicts 5 tokens at once 52:47 - Multi-teacher distillation: teaching one model from many 58:01 - Where reinforcement learning goes next 01:00:16 - Inside NVIDIA's research org: "the mission is the boss" 01:04:03 - How NVIDIA decides who gets the GPUs 01:10:53 - Why NVIDIA still feels entrepreneurial after 33 years 01:12:58 - Why Bryan doesn't believe in the singularity 01:17:50 - The AI backlash 01:19:18 - The controversial case: open AI is safer than closed
1:22:57

Inside Nemotron and NVIDIA's AI lab: my conversation with Bryan Catanzaro (Bryan Catanzaro). NVIDIA is a chip company. So why does it put hundreds of researchers on building AI models - and then give them away for free? We go deep into the Nemotron models, what it takes to build a top AI lab, and the future of frontier AI. 01:33 - Is open source AI catching the frontier? 05:29 - Do closed labs blocking distillation slow open source down? 07:42 - Is the US falling behind China? 10:30 - Why companies actually choose open models 12:39 - A "crazy" 2008 bet: machine learning on GPUs 15:33 - Working with Andrew Ng and Dario Amodei at Baidu 17:41 - Coming back to NVIDIA: DLSS and the birth of Megatron 21:55 - The real reason NVIDIA builds its own models 24:28 - Is Moore's Law really dead? 33:37 - The Nemotron family: Nano, Super, Ultra 35:09 - Built for agents: why NVIDIA bets on speed 36:02 - How you train a 550B model in 4 bits 39:25 - Hybrid Mamba-Transformer, explained simply 42:31 - Mixture of experts, and why NVIDIA built NVL72 around it 47:26 - Why a 1-million-token context window matters 49:26 - Multi-token prediction: how the model predicts 5 tokens at once 52:47 - Multi-teacher distillation: teaching one model from many 58:01 - Where reinforcement learning goes next 01:00:16 - Inside NVIDIA's research org: "the mission is the boss" 01:04:03 - How NVIDIA decides who gets the GPUs 01:10:53 - Why NVIDIA still feels entrepreneurial after 33 years 01:12:58 - Why Bryan doesn't believe in the singularity 01:17:50 - The AI backlash 01:19:18 - The controversial case: open AI is safer than closed

Matt Turck

56,903 Aufrufe • vor 2 Monaten

Another mindblowing conversation with my good friend .Emad... Enjoy!! 00:00 - Introduction 00:22 - AI: The Biggest Shift in Human History 00:42 - AI’s Impact on Society and the Economy 01:03 - Conversation with Emad Mostaque Begins 01:50 - The Acceleration of AI and Economic Takeoff 03:07 - AI Intelligence: Beyond Human IQ 04:08 - The Rise of AI Chefs and Super Cooks 05:07 - Breaking AI Constraints: Compute and Energy 07:03 - The Future of AI: Ubiquitous Intelligence 08:04 - The Shift to Local AI Models 10:07 - Why Has Apple Lagged in AI? 11:21 - The AI Race: OpenAI, Grok, Gemini, and More 13:11 - China’s Open-Source AI Strategy 14:57 - AI Bias and Ethical Challenges 16:57 - AI’s Cross-Pollination and Memory 18:02 - Are AI Models Becoming Self-Aware? 19:16 - AI, Bitcoin, and Self-Sustaining Algorithms 21:26 - AI-Driven Economies and Autonomous Companies 23:41 - The Future of Labor: A World Without Jobs? 25:26 - AI-Powered Robots: The Next Workforce Revolution 27:28 - The End of Traditional Economic Models 30:27 - The Political Shift: Humanist vs. Transhumanist 33:04 - AI in Financial Markets: The End of Human Traders? 36:03 - The Evolution of Investing in an AI World 38:33 - AI’s Impact on Capital Formation and Business Disruption 40:01 - The Rise of Digital Twins and Post-Capital Society 42:45 - Building AI for Education, Healthcare, and Governance 46:42 - The Future of Money in an AI-Driven World 50:11 - Universal Basic AI: A New Economic Model 54:29 - The Deflationary Impact of AI and Crypto’s Role 57:02 - The AI Singularity: Five Years Until Everything Changes 58:56 - The Road Ahead: AI, Crypto, and the Future of Civilization 01:02:24 - Final Thoughts: The Most Exciting and Terrifying Time in History
1:04:51

Another mindblowing conversation with my good friend .Emad... Enjoy!! 00:00 - Introduction 00:22 - AI: The Biggest Shift in Human History 00:42 - AI’s Impact on Society and the Economy 01:03 - Conversation with Emad Mostaque Begins 01:50 - The Acceleration of AI and Economic Takeoff 03:07 - AI Intelligence: Beyond Human IQ 04:08 - The Rise of AI Chefs and Super Cooks 05:07 - Breaking AI Constraints: Compute and Energy 07:03 - The Future of AI: Ubiquitous Intelligence 08:04 - The Shift to Local AI Models 10:07 - Why Has Apple Lagged in AI? 11:21 - The AI Race: OpenAI, Grok, Gemini, and More 13:11 - China’s Open-Source AI Strategy 14:57 - AI Bias and Ethical Challenges 16:57 - AI’s Cross-Pollination and Memory 18:02 - Are AI Models Becoming Self-Aware? 19:16 - AI, Bitcoin, and Self-Sustaining Algorithms 21:26 - AI-Driven Economies and Autonomous Companies 23:41 - The Future of Labor: A World Without Jobs? 25:26 - AI-Powered Robots: The Next Workforce Revolution 27:28 - The End of Traditional Economic Models 30:27 - The Political Shift: Humanist vs. Transhumanist 33:04 - AI in Financial Markets: The End of Human Traders? 36:03 - The Evolution of Investing in an AI World 38:33 - AI’s Impact on Capital Formation and Business Disruption 40:01 - The Rise of Digital Twins and Post-Capital Society 42:45 - Building AI for Education, Healthcare, and Governance 46:42 - The Future of Money in an AI-Driven World 50:11 - Universal Basic AI: A New Economic Model 54:29 - The Deflationary Impact of AI and Crypto’s Role 57:02 - The AI Singularity: Five Years Until Everything Changes 58:56 - The Road Ahead: AI, Crypto, and the Future of Civilization 01:02:24 - Final Thoughts: The Most Exciting and Terrifying Time in History

Raoul Pal

326,827 Aufrufe • vor 1 Jahr

besties are BACK for E181! trump verdict, covid cover-up, crypto corner, salesforce drops 20%, ai correction? (0:00) bestie intros: introducing @jason's first show for his new production company (2:15) why David Sacks and Chamath Palihapitiya are hosting a trump fundraiser (18:40) house covid investigation: findings, cover-up, what's next? (41:36) the deep state problem: unelected bureaucrats running three letter agencies for decades (53:04) crypto corner with chamath (1:04:15) state of saas: salesforce drops 20%, market teetering (1:20:10) trump verdict (1:37:36) are we seeing the start of an ai correction?
1:47:40

besties are BACK for E181! trump verdict, covid cover-up, crypto corner, salesforce drops 20%, ai correction? (0:00) bestie intros: introducing @jason's first show for his new production company (2:15) why David Sacks and Chamath Palihapitiya are hosting a trump fundraiser (18:40) house covid investigation: findings, cover-up, what's next? (41:36) the deep state problem: unelected bureaucrats running three letter agencies for decades (53:04) crypto corner with chamath (1:04:15) state of saas: salesforce drops 20%, market teetering (1:20:10) trump verdict (1:37:36) are we seeing the start of an ai correction?

The All-In Podcast

296,971 Aufrufe • vor 2 Jahren

🚨HUGE episode after a massive week in tech! almost two hours with the besties + thomas laffont: -- ipos, m&a, and spacs are back: state of liquidity -- mag 7 ai showdown: ranking the most likely winners -- zuck on tilt: $100m offers, scale ai deal -- why apple is fumbling ai and how they can fix it -- amazon's position as an ai kingmaker -- sacks joins to talk genius act passing the senate (0:00) the besties welcome thomas laffont! (3:26) state of la, hollywood's decline, positivity around gdp growth and ai productivity (10:19) zuck on tilt over ai: $100m offers, scale ai deal, hiring spree (23:58) mag 7 ai showdown: ranking the most likely ai winners, biggest stock divergences, and more (42:41) why apple is fumbling ai and how they can fix it (57:02) ipos and m&a heating up in 2025 (1:16:18) state of liquidity: spacs, direct listings, and more (1:25:40) amazon's "kingmaker" position, job displacement (1:37:47) sacks joins to discuss the genius act passing the senate (1:52:13) animal trailer
1:52:44

🚨HUGE episode after a massive week in tech! almost two hours with the besties + thomas laffont: -- ipos, m&a, and spacs are back: state of liquidity -- mag 7 ai showdown: ranking the most likely winners -- zuck on tilt: $100m offers, scale ai deal -- why apple is fumbling ai and how they can fix it -- amazon's position as an ai kingmaker -- sacks joins to talk genius act passing the senate (0:00) the besties welcome thomas laffont! (3:26) state of la, hollywood's decline, positivity around gdp growth and ai productivity (10:19) zuck on tilt over ai: $100m offers, scale ai deal, hiring spree (23:58) mag 7 ai showdown: ranking the most likely ai winners, biggest stock divergences, and more (42:41) why apple is fumbling ai and how they can fix it (57:02) ipos and m&a heating up in 2025 (1:16:18) state of liquidity: spacs, direct listings, and more (1:25:40) amazon's "kingmaker" position, job displacement (1:37:47) sacks joins to discuss the genius act passing the senate (1:52:13) animal trailer

The All-In Podcast

607,639 Aufrufe • vor 1 Jahr