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My seventh conversation with Gavin Baker. It's about the gap between what the market is doing and what companies are seeing. It's been a tough month or so for public AI names, but there's no sign of a slowdown on the ground in Silicon Valley. We discuss: - Why...

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Patrick OShaughnessy

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1,810,795 görüntüleme • 8 gün önce •via X (Twitter)

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This is my sixth conversation with Gavin Baker. As always with Gavin, the conversation covers a lot of ground, but we spend the most time on watts and wafers. We discuss: - Why the wafer shortage may prevent an AI bubble - Data centers in space (reframed) - Elon's Terafab and the new chip companies challenging Nvidia - Usage-based pricing - The disaggregation of GPUs - DRAM, frontier tokens, and open source Enjoy! Timestamps: 0:00 Intro 7:55 Anthropic and OpenAI Valuations 12:58 Watts, Wafers, and Infrastructure 14:39 Orbital Compute and Data Centers in Space 22:49 Avoiding the AI Bubble 28:26 Terafab and the Future of US Manufacturing 32:16 Returns to the Frontier 37:23 Continual Learning 42:03 New Chip Companies 48:52 Extending GPU Lifespans and Private Credit 51:22 The Application Layer 57:32 The Token Path and Open-Source Dynamics 1:01:37 Cybersecurity 1:05:46 Diversity Breakdown 1:11:59 Assessing the Big Tech Players in AI 1:19:02 Geopolitics, Personal Safety, and the AI Horizon
1:22:10

This is my sixth conversation with Gavin Baker. As always with Gavin, the conversation covers a lot of ground, but we spend the most time on watts and wafers. We discuss: - Why the wafer shortage may prevent an AI bubble - Data centers in space (reframed) - Elon's Terafab and the new chip companies challenging Nvidia - Usage-based pricing - The disaggregation of GPUs - DRAM, frontier tokens, and open source Enjoy! Timestamps: 0:00 Intro 7:55 Anthropic and OpenAI Valuations 12:58 Watts, Wafers, and Infrastructure 14:39 Orbital Compute and Data Centers in Space 22:49 Avoiding the AI Bubble 28:26 Terafab and the Future of US Manufacturing 32:16 Returns to the Frontier 37:23 Continual Learning 42:03 New Chip Companies 48:52 Extending GPU Lifespans and Private Credit 51:22 The Application Layer 57:32 The Token Path and Open-Source Dynamics 1:01:37 Cybersecurity 1:05:46 Diversity Breakdown 1:11:59 Assessing the Big Tech Players in AI 1:19:02 Geopolitics, Personal Safety, and the AI Horizon

Patrick OShaughnessy

1,675,536 görüntüleme • 2 ay önce

This is my fifth conversation with Gavin Baker. Gavin understands semiconductors and AI as well as anyone I know and has a gift for making sense of the industry's complexity and nuance. We discuss: - Nvidia vs Google (GPUs + TPUs) - Scaling laws and reasoning models - The economics of AI compute - Why Blackwell's delay mattered - The bear case on the AI capex buildout - Data centers in space - The mistake SaaS companies are making Few people love investing more than Gavin. His closing answer about why he loves it turned into a full reflection on his investing origin story, which I had never heard before. Enjoy! Timestamps: 0:00 Intro 5:03 The Blackwell Transition 23:15 The Prisoner's Dilemma 27:12 The Bear Case: Edge AI 37:19 Meta, Open Source, and Model Depreciation 43:08 Geopolitics and Rare Earths 50:42 Data Centers in Space 56:06 Power Constraints as a Governor 1:11:31 The SaaS Mistake 1:16:17 Nuclear and Quantum 1:22:25 Gavin’s Investing Origins
1:28:25

This is my fifth conversation with Gavin Baker. Gavin understands semiconductors and AI as well as anyone I know and has a gift for making sense of the industry's complexity and nuance. We discuss: - Nvidia vs Google (GPUs + TPUs) - Scaling laws and reasoning models - The economics of AI compute - Why Blackwell's delay mattered - The bear case on the AI capex buildout - Data centers in space - The mistake SaaS companies are making Few people love investing more than Gavin. His closing answer about why he loves it turned into a full reflection on his investing origin story, which I had never heard before. Enjoy! Timestamps: 0:00 Intro 5:03 The Blackwell Transition 23:15 The Prisoner's Dilemma 27:12 The Bear Case: Edge AI 37:19 Meta, Open Source, and Model Depreciation 43:08 Geopolitics and Rare Earths 50:42 Data Centers in Space 56:06 Power Constraints as a Governor 1:11:31 The SaaS Mistake 1:16:17 Nuclear and Quantum 1:22:25 Gavin’s Investing Origins

Patrick OShaughnessy

2,858,379 görüntüleme • 8 ay önce

A New Episode of the Hivemind is Live! This week Tommy joins us to debate whether AI frontier companies can justify their valuations, the rise of open-source AI, and where enterprise spending is actually going. We also cover SpaceX’s IPO, Hyperliquid’s growth, and the latest around Zcash’s private Bitcoin thesis. Timestamps: 00:00 Introduction & Market Outlook 05:00 OpenAI, Anthropic & Enterprise AI Spending 08:53 Open Source vs Frontier Models 24:41 Are We In An AI Bubble? 35:17 SpaceX IPO & Equity Issuance 38:13 AI Regulation & Political Risk 53:36 Hyperliquid & HYPE 1:04:14 Zcash & The Private Bitcoin Thesis 1:13:16 Final Thoughts
1:14:59

A New Episode of the Hivemind is Live! This week Tommy joins us to debate whether AI frontier companies can justify their valuations, the rise of open-source AI, and where enterprise spending is actually going. We also cover SpaceX’s IPO, Hyperliquid’s growth, and the latest around Zcash’s private Bitcoin thesis. Timestamps: 00:00 Introduction & Market Outlook 05:00 OpenAI, Anthropic & Enterprise AI Spending 08:53 Open Source vs Frontier Models 24:41 Are We In An AI Bubble? 35:17 SpaceX IPO & Equity Issuance 38:13 AI Regulation & Political Risk 53:36 Hyperliquid & HYPE 1:04:14 Zcash & The Private Bitcoin Thesis 1:13:16 Final Thoughts

Delphi Digital

21,214 görüntüleme • 1 ay önce

I sat down with Jordi Visser to discuss the SpaceX IPO, orbital data centers, and the critical minerals powering the AI buildout. We also discuss the AI model wars, why Jordi thinks Sam Altman won't be running OpenAI within a year, and how the New York Knicks playoff run connects to the future of crypto and blockchain in a world of AI and deep fakes. YouTube: Spotify: Apple: TIMESTAMPS: 0:00 - Intro 1:00 - SpaceX IPO, Elon & orbital data centers 12:15 - Critical minerals & the AI supply chain 18:55 - American industrial sovereignty & critical chemicals 22:36 - AI model cost crisis & who wins the model war 37:10 - Knicks NBA Finals & the case for crypto in an AI world 47:48 - Jeff Bezos launches Prometheus 50:34 - AI use case of the week
54:47

I sat down with Jordi Visser to discuss the SpaceX IPO, orbital data centers, and the critical minerals powering the AI buildout. We also discuss the AI model wars, why Jordi thinks Sam Altman won't be running OpenAI within a year, and how the New York Knicks playoff run connects to the future of crypto and blockchain in a world of AI and deep fakes. YouTube: Spotify: Apple: TIMESTAMPS: 0:00 - Intro 1:00 - SpaceX IPO, Elon & orbital data centers 12:15 - Critical minerals & the AI supply chain 18:55 - American industrial sovereignty & critical chemicals 22:36 - AI model cost crisis & who wins the model war 37:10 - Knicks NBA Finals & the case for crypto in an AI world 47:48 - Jeff Bezos launches Prometheus 50:34 - AI use case of the week

Anthony Pompliano 🌪

133,301 görüntüleme • 2 ay önce

State of AI compute 2026: my conversation with stephen balaban of Lambda on the neocloud boom, data centers, GPUs and what's ahead 00:00 — Cold open 01:21 — Why GPU compute was never a commodity 02:45 — The H100 price index and what it gets wrong 04:02 — The real moat: technology or financing? 05:57 — Winner-take-all, or room for many neoclouds 06:48 — Are we overbuilding or underbuilding AI compute? 09:26 — What if AI gets 10x more compute-efficient? 10:44 — The real bottleneck: land, power, and shell 11:38 — The backlash against data centers — and the misinformation 15:00 — Opening the hood: from photons to tokens 17:11 — Extracting more value from the same chip 19:26 — Frontier inference and distributed training, explained 23:26 — What actually drives compute cost 25:21 — Lambda's chip stack and the NVIDIA relationship 26:17 — A multi-silicon world? CUDA, CUDNN, and NVIDIA's real moat 28:59 — Networking, storage, and the one-click cluster 34:46 — Renting vs. owning, and full vertical integration 36:24 — How global is Lambda? Does location still matter? 38:44 — The financing stack: off-take agreements, SPVs, and credit 41:16 — Why a 2023 GPU leases for more today 42:36 — A futures market for compute? 43:54 — Origin story: facial recognition, Perceptio, and Apple 47:03 — The Lambda hat and Dream Scope 48:59 — The $60K bet that became a cloud business 52:00 — Holding the team together through the hard times 54:30 — Bringing on a new CEO; Stephen as CTO 57:33 — Matching xAI on high-velocity deployment 59:29 — "AI won't write software — it will become the software" 01:01:30 — Neural software vs. vibe coding 01:04:25 — Do agents change the compute layer 01:06:14 — Self-assembling software inside Lambda 01:08:18 — Gigawatt-scale AI factories 01:08:57 — One person, one GPU 01:12:04 — Hot takes: overrated and underrated in AI
1:14:27

State of AI compute 2026: my conversation with stephen balaban of Lambda on the neocloud boom, data centers, GPUs and what's ahead 00:00 — Cold open 01:21 — Why GPU compute was never a commodity 02:45 — The H100 price index and what it gets wrong 04:02 — The real moat: technology or financing? 05:57 — Winner-take-all, or room for many neoclouds 06:48 — Are we overbuilding or underbuilding AI compute? 09:26 — What if AI gets 10x more compute-efficient? 10:44 — The real bottleneck: land, power, and shell 11:38 — The backlash against data centers — and the misinformation 15:00 — Opening the hood: from photons to tokens 17:11 — Extracting more value from the same chip 19:26 — Frontier inference and distributed training, explained 23:26 — What actually drives compute cost 25:21 — Lambda's chip stack and the NVIDIA relationship 26:17 — A multi-silicon world? CUDA, CUDNN, and NVIDIA's real moat 28:59 — Networking, storage, and the one-click cluster 34:46 — Renting vs. owning, and full vertical integration 36:24 — How global is Lambda? Does location still matter? 38:44 — The financing stack: off-take agreements, SPVs, and credit 41:16 — Why a 2023 GPU leases for more today 42:36 — A futures market for compute? 43:54 — Origin story: facial recognition, Perceptio, and Apple 47:03 — The Lambda hat and Dream Scope 48:59 — The $60K bet that became a cloud business 52:00 — Holding the team together through the hard times 54:30 — Bringing on a new CEO; Stephen as CTO 57:33 — Matching xAI on high-velocity deployment 59:29 — "AI won't write software — it will become the software" 01:01:30 — Neural software vs. vibe coding 01:04:25 — Do agents change the compute layer 01:06:14 — Self-assembling software inside Lambda 01:08:18 — Gigawatt-scale AI factories 01:08:57 — One person, one GPU 01:12:04 — Hot takes: overrated and underrated in AI

Matt Turck

70,916 görüntüleme • 1 ay önce

I spoke with Jordi Visser this week to break down: - AI mid-cycle slowdown - $90 trillion AI infrastructure buildout - memory and Micron's role in AI bottleneck - Fed under Warsh - what rate cuts could mean for markets - why bitcoin is positioned to be the best performing assets once the negatives of AI start to show up YouTube: Apple: Spotify: TIMESTAMPS: 0:00 - Intro 1:20 - Has bitcoin bottomed? 6:03 - Bitcoin vs the Mag 7: is the correlation breaking? 9:00 - Sam Altman, OpenAI & the government getting involved 11:11 - American open source vs Chinese AI models 14:28 - AI compute demand & the infrastructure buildout 20:37 - AI slowdown: how bad, how long? 22:44 - Where do markets go from here? 27:30 - AI agents in the workplace & security risk 34:50 - Memory, Micron & the AI bottleneck 39:53 - The next 10-20 years: robots, AI & society 44:18 - The Fed, rate cuts & inflation's impact on AI 49:55 - Why bitcoin wins in the end
55:11

I spoke with Jordi Visser this week to break down: - AI mid-cycle slowdown - $90 trillion AI infrastructure buildout - memory and Micron's role in AI bottleneck - Fed under Warsh - what rate cuts could mean for markets - why bitcoin is positioned to be the best performing assets once the negatives of AI start to show up YouTube: Apple: Spotify: TIMESTAMPS: 0:00 - Intro 1:20 - Has bitcoin bottomed? 6:03 - Bitcoin vs the Mag 7: is the correlation breaking? 9:00 - Sam Altman, OpenAI & the government getting involved 11:11 - American open source vs Chinese AI models 14:28 - AI compute demand & the infrastructure buildout 20:37 - AI slowdown: how bad, how long? 22:44 - Where do markets go from here? 27:30 - AI agents in the workplace & security risk 34:50 - Memory, Micron & the AI bottleneck 39:53 - The next 10-20 years: robots, AI & society 44:18 - The Fed, rate cuts & inflation's impact on AI 49:55 - Why bitcoin wins in the end

Anthony Pompliano 🌪

64,370 görüntüleme • 1 ay önce

My conversation with Sam Altman (Sam Altman), CEO of OpenAI. We discuss: - Kimi, distillation, and open source - OpenAI's compute bets - The Hugging Face incident - What happens after AGI - Raising kids in an age of abundant intelligence - And much more Enjoy! TIMESTAMPS 0:00 Intro 4:10 The Race for Compute 14:24 A Sci-Fi Cyber Incident 16:14 The Promise and Risks of AGI 23:27 How AI Will Change Jobs 29:38 Sam’s Vision for a Personal AI 35:02 Robotics, ChatGPT, and What Comes Next 44:39 The Weight of Leading OpenAI 51:36 OpenAI’s Biggest Lessons
55:47

My conversation with Sam Altman (Sam Altman), CEO of OpenAI. We discuss: - Kimi, distillation, and open source - OpenAI's compute bets - The Hugging Face incident - What happens after AGI - Raising kids in an age of abundant intelligence - And much more Enjoy! TIMESTAMPS 0:00 Intro 4:10 The Race for Compute 14:24 A Sci-Fi Cyber Incident 16:14 The Promise and Risks of AGI 23:27 How AI Will Change Jobs 29:38 Sam’s Vision for a Personal AI 35:02 Robotics, ChatGPT, and What Comes Next 44:39 The Weight of Leading OpenAI 51:36 OpenAI’s Biggest Lessons

Patrick OShaughnessy

1,862,778 görüntüleme • 15 gün önce

New pod with the legend Dan Ives is live! We break down the AI trade, including Chinese open-source models, Anthropic's slowing revenue growth, the biggest bottlenecks in chips, memory, and energy, and the political battles over data centers. YouTube: Spotify: Apple: TIMESTAMPS: 0:00 - Intro 0:51 - Chinese vs American open-source models, & the Anthropic IP lawsuit 4:36 - Falling model costs and the pricing war 5:55 - Cultural bias baked into Chinese AI models? 7:44 - Will AI models eat the whole stack? 11:20 - Specialized AI workflows & model routing 14:00 - Mag 7 free cash flow vs. exploding semiconductor revenue 17:37 - The real AI bottlenecks: memory chips, data centers & energy 30:13 - Anthropic's revenue growth is slowing — should investors worry? 31:17 - Why Dan is leaving Wall Street to build Yorkville Ives 34:32 - Dan's AI market predictions & closing thoughts
38:55

New pod with the legend Dan Ives is live! We break down the AI trade, including Chinese open-source models, Anthropic's slowing revenue growth, the biggest bottlenecks in chips, memory, and energy, and the political battles over data centers. YouTube: Spotify: Apple: TIMESTAMPS: 0:00 - Intro 0:51 - Chinese vs American open-source models, & the Anthropic IP lawsuit 4:36 - Falling model costs and the pricing war 5:55 - Cultural bias baked into Chinese AI models? 7:44 - Will AI models eat the whole stack? 11:20 - Specialized AI workflows & model routing 14:00 - Mag 7 free cash flow vs. exploding semiconductor revenue 17:37 - The real AI bottlenecks: memory chips, data centers & energy 30:13 - Anthropic's revenue growth is slowing — should investors worry? 31:17 - Why Dan is leaving Wall Street to build Yorkville Ives 34:32 - Dan's AI market predictions & closing thoughts

Anthony Pompliano 🌪

86,547 görüntüleme • 16 gün önce

My conversation with Dan Sundheim (Daniel Sundheim). He is the founder and CIO of D1 Capital Partners, which manages over $30B across public and private markets. There's no one as passionate about investing as Dan. We had a really wide-ranging conversation and discuss: - Public vs. private markets in 2026 - Anthropic, OpenAI, and SpaceX - How Dario reminds him of Jeff Bezos - The future of hyperscalers - The software selloff and what comes next - GameStop and the LP dinner that followed - China vs. US: the risk of Taiwan Enjoy! Timestamps: 0:00 Intro 1:05 Public vs. Private Markets 9:10 LLMs as a Business Model 23:23 The Future of Hyperscalers 27:45 AI's Impact on Traditional Software 36:31 Surviving the GameStop Short Squeeze 49:54 Big Private Bets: Rivian and SpaceX 54:26 The Art of Short Selling 1:04:28 Early Career 1:17:11 Geopolitics and the Semiconductor Collision Course 1:22:05 Traits of Great Leadership 1:23:20 The Kindest Thing
1:26:50

My conversation with Dan Sundheim (Daniel Sundheim). He is the founder and CIO of D1 Capital Partners, which manages over $30B across public and private markets. There's no one as passionate about investing as Dan. We had a really wide-ranging conversation and discuss: - Public vs. private markets in 2026 - Anthropic, OpenAI, and SpaceX - How Dario reminds him of Jeff Bezos - The future of hyperscalers - The software selloff and what comes next - GameStop and the LP dinner that followed - China vs. US: the risk of Taiwan Enjoy! Timestamps: 0:00 Intro 1:05 Public vs. Private Markets 9:10 LLMs as a Business Model 23:23 The Future of Hyperscalers 27:45 AI's Impact on Traditional Software 36:31 Surviving the GameStop Short Squeeze 49:54 Big Private Bets: Rivian and SpaceX 54:26 The Art of Short Selling 1:04:28 Early Career 1:17:11 Geopolitics and the Semiconductor Collision Course 1:22:05 Traits of Great Leadership 1:23:20 The Kindest Thing

Patrick OShaughnessy

1,212,199 görüntüleme • 5 ay önce

“Is there an AI bubble?” Gavin Baker and David George In this conversation from a16z’s Runtime conference, Gavin Baker, Managing Partner and CIO of Atreides Management, joins David George, General Partner at a16z, to unpack the macro view of AI: the trillion-dollar data center buildout, the new economics of GPUs, and what this boom means for investors, founders, and the global economy. They discuss how this cycle compares to the dot-com era, why “there are no dark GPUs,” and what makes today’s infrastructure spending different from past bubbles. Gavin explains why he believes we’re still early in the AI supercycle, the changing margins in SaaS and software, and how business models and consumer interfaces are being rewritten in real time. 00:00 Intro 01:02 Are we in an AI Bubble? 02:41 Dark fiber vs. “no dark GPUs” 05:07 ROI on AI: Why this time is different 08:36 Round-tripping deals 12:22 The application layer: It’s still early 15:24 Margins, scaling laws 23:26 Reasoning models and the flywheel 27:18 The future of business models 29:41 Robotics and Elon’s Optimus vision Gavin Baker David George
31:52

“Is there an AI bubble?” Gavin Baker and David George In this conversation from a16z’s Runtime conference, Gavin Baker, Managing Partner and CIO of Atreides Management, joins David George, General Partner at a16z, to unpack the macro view of AI: the trillion-dollar data center buildout, the new economics of GPUs, and what this boom means for investors, founders, and the global economy. They discuss how this cycle compares to the dot-com era, why “there are no dark GPUs,” and what makes today’s infrastructure spending different from past bubbles. Gavin explains why he believes we’re still early in the AI supercycle, the changing margins in SaaS and software, and how business models and consumer interfaces are being rewritten in real time. 00:00 Intro 01:02 Are we in an AI Bubble? 02:41 Dark fiber vs. “no dark GPUs” 05:07 ROI on AI: Why this time is different 08:36 Round-tripping deals 12:22 The application layer: It’s still early 15:24 Margins, scaling laws 23:26 Reasoning models and the flywheel 27:18 The future of business models 29:41 Robotics and Elon’s Optimus vision Gavin Baker David George

a16z

92,096 görüntüleme • 9 ay önce

New Delphi Podcast with TravisGood, co-founder of ambient.xyz Travis believes open source AI will win and that OpenAI and Anthropic are making a major strategic mistake by betting against it We discuss – Why closed AI providers can’t be trusted as infrastructure – China’s open source advantage – What happens if OpenAI reaches AGI – Prompt injection and AI’s unsolved safety problem – The AI CapEx bubble and a possible AI winter – How Ambient is building Uber for inference - 00:00 Intro - 03:20 What Ambient Is and How It Works - 18:40 Verified AI Inference - 40:20 China and the Open-Source AI Race - 49:00 Why Closed AI Is Making a Mistake - 1:03:00 What Happens If OpenAI Reaches AGI? - 1:17:10 The AI Bubble and a Possible AI Winter
1:32:00

New Delphi Podcast with TravisGood, co-founder of ambient.xyz Travis believes open source AI will win and that OpenAI and Anthropic are making a major strategic mistake by betting against it We discuss – Why closed AI providers can’t be trusted as infrastructure – China’s open source advantage – What happens if OpenAI reaches AGI – Prompt injection and AI’s unsolved safety problem – The AI CapEx bubble and a possible AI winter – How Ambient is building Uber for inference - 00:00 Intro - 03:20 What Ambient Is and How It Works - 18:40 Verified AI Inference - 40:20 China and the Open-Source AI Race - 49:00 Why Closed AI Is Making a Mistake - 1:03:00 What Happens If OpenAI Reaches AGI? - 1:17:10 The AI Bubble and a Possible AI Winter

Tommy

24,308 görüntüleme • 15 gün önce

I sat down with Hut 8 CEO Asher Genoot to discuss how he built a $12 billion company by embracing AI data centers and bitcoin mining. This conversation is packed with unique, nuanced insights into an industry that everyone is obsessed with right now. Enjoy! YouTube: Apple: Spotify: TIMESTAMPS: 0:00 - Intro 0:45 - Bitcoin mining to AI: the transition 3:09 - Data centers & community pushback 8:52 - Co-location & energy campuses 11:42 - Mega sites vs. smaller urban campuses 13:08 - Hardware innovation inside the data center 17:15 - How Hut 8 lands billion-dollar contracts 20:01 - The River Bend financing structure 24:19 - Build vs. acquire strategy 25:18 - Bottlenecks slowing AI buildout 27:36 - What keeps Asher up at night 30:40 - American Bitcoin update $HUT
32:34

I sat down with Hut 8 CEO Asher Genoot to discuss how he built a $12 billion company by embracing AI data centers and bitcoin mining. This conversation is packed with unique, nuanced insights into an industry that everyone is obsessed with right now. Enjoy! YouTube: Apple: Spotify: TIMESTAMPS: 0:00 - Intro 0:45 - Bitcoin mining to AI: the transition 3:09 - Data centers & community pushback 8:52 - Co-location & energy campuses 11:42 - Mega sites vs. smaller urban campuses 13:08 - Hardware innovation inside the data center 17:15 - How Hut 8 lands billion-dollar contracts 20:01 - The River Bend financing structure 24:19 - Build vs. acquire strategy 25:18 - Bottlenecks slowing AI buildout 27:36 - What keeps Asher up at night 30:40 - American Bitcoin update $HUT

Anthony Pompliano 🌪

43,880 görüntüleme • 3 ay önce

Startups are essential for a vibrant, competitive American AI market. The Little Tech Agenda for AI, w/ Collin McCune, Matt Perault, Erik Torenberg: (00:40) Introducing the Little Tech Agenda (03:23) Pillars of the Agenda and the small builder vs. trillion-dollar company gap (05:00) Competition, markets, and smart regulation (08:59) “Regulate use, not development” and its misinterpretation (10:16) The AI policy arc since 2023: hearings, fear narratives, and executive actions (18:05) Licensing regimes and open source bans compared to nuclear policy (39:39) China, export controls, and open source in a global race (47:21) Federal vs. state lanes, moratorium fallout, and what’s next
57:01

Startups are essential for a vibrant, competitive American AI market. The Little Tech Agenda for AI, w/ Collin McCune, Matt Perault, Erik Torenberg: (00:40) Introducing the Little Tech Agenda (03:23) Pillars of the Agenda and the small builder vs. trillion-dollar company gap (05:00) Competition, markets, and smart regulation (08:59) “Regulate use, not development” and its misinterpretation (10:16) The AI policy arc since 2023: hearings, fear narratives, and executive actions (18:05) Licensing regimes and open source bans compared to nuclear policy (39:39) China, export controls, and open source in a global race (47:21) Federal vs. state lanes, moratorium fallout, and what’s next

a16z

17,665 görüntüleme • 11 ay önce

I spoke with Nick Grossman about his "Rebel Alliance" thesis for AI. He believes the industry is too big for one or two companies to dominate. We also discuss USV's internal multi-agent platform, model routing economics, AI's growing role in venture capital and financial markets, data privacy risks, and what happens to jobs and society as agents get smarter. YouTube: Spotify: Apple: TIMESTAMPS: 0:00 - Intro 0:42 - The "Rebel Alliance" thesis: why one company won't dominate AI 7:15 - General-purpose vs. specialized models in USV's portfolio 8:40 - Compute costs & the rise of model routing 11:14 - Inside USV's internal multi-agent system 16:25 - AI's role in venture capital & autonomous investing 22:46 - How AI reshapes market signals & information edges 27:02 - Apps building models & the fight over your data 35:26 - Five-year outlook for the AI stack 37:53 - US vs. China: the "philosophy" of AI models 40:26 - Personalized AI & where the Rebel Alliance thesis plays 43:49 - The dark side: jobs, data centers & society 47:40 - AI as a personal superpower & neural implants
51:37

I spoke with Nick Grossman about his "Rebel Alliance" thesis for AI. He believes the industry is too big for one or two companies to dominate. We also discuss USV's internal multi-agent platform, model routing economics, AI's growing role in venture capital and financial markets, data privacy risks, and what happens to jobs and society as agents get smarter. YouTube: Spotify: Apple: TIMESTAMPS: 0:00 - Intro 0:42 - The "Rebel Alliance" thesis: why one company won't dominate AI 7:15 - General-purpose vs. specialized models in USV's portfolio 8:40 - Compute costs & the rise of model routing 11:14 - Inside USV's internal multi-agent system 16:25 - AI's role in venture capital & autonomous investing 22:46 - How AI reshapes market signals & information edges 27:02 - Apps building models & the fight over your data 35:26 - Five-year outlook for the AI stack 37:53 - US vs. China: the "philosophy" of AI models 40:26 - Personalized AI & where the Rebel Alliance thesis plays 43:49 - The dark side: jobs, data centers & society 47:40 - AI as a personal superpower & neural implants

Anthony Pompliano 🌪

60,709 görüntüleme • 22 gün önce

What if AI isn’t replacing us, but just redefining what it means to be skilled? Or are we unleashing something humans simply can't keep up with? Spicy new win-win conversation just dropped with the brilliant Harper Carroll on how to harness the best of AI and maintain relevancy in these rapidly evolving times. A rare opportunity to hear an all female perspective on AI, if you're open to it... Chapters 00:00 - Intro & Harper’s Story 04:58 - Growing a Following 07:19 - AI vs Machine Learning 11:18 - Harper’s Mission 18:47 - Her Favorite Applications of AI 27:30 - Choosing Between Tools 29:46 - AI in Schools 33:14 - Regulation 37:01 - Leveling the Playing Field with AI 46:44 - Should People Still Learn to Code? 51:08 - AI Therapists? 58:01 - AI & Spirituality 1:03:23 - Cultivating Intuition and Wisdom 1:09:26 - Silicon Valley, Tech Bros and Femininity 1:16:05 - AI Generated Scams 1:21:15 - The Cat-and-Mouse Game 1:28:33 - The Hive Mind 1:35:24- Agency and Gratitude
1:39:20

What if AI isn’t replacing us, but just redefining what it means to be skilled? Or are we unleashing something humans simply can't keep up with? Spicy new win-win conversation just dropped with the brilliant Harper Carroll on how to harness the best of AI and maintain relevancy in these rapidly evolving times. A rare opportunity to hear an all female perspective on AI, if you're open to it... Chapters 00:00 - Intro & Harper’s Story 04:58 - Growing a Following 07:19 - AI vs Machine Learning 11:18 - Harper’s Mission 18:47 - Her Favorite Applications of AI 27:30 - Choosing Between Tools 29:46 - AI in Schools 33:14 - Regulation 37:01 - Leveling the Playing Field with AI 46:44 - Should People Still Learn to Code? 51:08 - AI Therapists? 58:01 - AI & Spirituality 1:03:23 - Cultivating Intuition and Wisdom 1:09:26 - Silicon Valley, Tech Bros and Femininity 1:16:05 - AI Generated Scams 1:21:15 - The Cat-and-Mouse Game 1:28:33 - The Hive Mind 1:35:24- Agency and Gratitude

Liv Boeree

31,910 görüntüleme • 1 yıl önce

$WDC CEO says storage demand and requirement compound and grow whether AI runs on US frontier models or cheaper open-source ones. "Whether it's the traditional frontier models that you've seen in the U.S. that are premium-based, or some of the new open-source, more economical models, the underlying requirement is still that they're going to require a lot of data to support the training of these models." "These models are going to generate a lot more data that requires storage for us." "So we view it as very positive, because even as compute maybe drives greater efficiency in terms of compute and memory resources, the requirement for storage is just going to compound and grow." "So we view it very positively for demand going forward."
0:35

$WDC CEO says storage demand and requirement compound and grow whether AI runs on US frontier models or cheaper open-source ones. "Whether it's the traditional frontier models that you've seen in the U.S. that are premium-based, or some of the new open-source, more economical models, the underlying requirement is still that they're going to require a lot of data to support the training of these models." "These models are going to generate a lot more data that requires storage for us." "So we view it as very positive, because even as compute maybe drives greater efficiency in terms of compute and memory resources, the requirement for storage is just going to compound and grow." "So we view it very positively for demand going forward."

Fireside Alpha

11,921 görüntüleme • 7 gün önce

Had a great talk with Anjney Midha about why he left a16z to start AMP PBC (raised $1.3B), his early bet on Anthropic, the importance of Japan in AI, his class at Stanford and a lot more. I didn't make him cry like Harry Stebbings, but I think it was a fun conversation about the future of AI Infra. Enjoy! 00:00 Introduction to AMP and AI Infrastructure 03:07 Transition from A16Z to AMP 06:01 Understanding AMP's Role in AI Compute 08:57 The Concept of a Compute Grid 11:59 The Need for Standardization in AI Infrastructure 14:59 Education and Collaboration in AI Development 17:59 Global Perspectives on AI Infrastructure 21:03 Japan's Role in AI and Robotics 23:14 Cultural Connections: Japan and Germany 25:08 The Journey to Teaching at Stanford 26:04 Security in Infrastructure: Lessons Learned 27:50 Cybersecurity and AI: A New Frontier 29:27 The Importance of Redundancy in Cybersecurity 30:39 Investing in AI: The Anthropic Experience 32:54 Wealth Creation and Public Participation 34:06 Infrastructure Bottlenecks in AI Development 36:57 Global Perspectives on Data Centers 39:11 The Need for Education on AI Benefits 42:07 Learning from China: A Systems Approach 45:47 Conclusion: Coordinating the Western Frontier
46:14

Had a great talk with Anjney Midha about why he left a16z to start AMP PBC (raised $1.3B), his early bet on Anthropic, the importance of Japan in AI, his class at Stanford and a lot more. I didn't make him cry like Harry Stebbings, but I think it was a fun conversation about the future of AI Infra. Enjoy! 00:00 Introduction to AMP and AI Infrastructure 03:07 Transition from A16Z to AMP 06:01 Understanding AMP's Role in AI Compute 08:57 The Concept of a Compute Grid 11:59 The Need for Standardization in AI Infrastructure 14:59 Education and Collaboration in AI Development 17:59 Global Perspectives on AI Infrastructure 21:03 Japan's Role in AI and Robotics 23:14 Cultural Connections: Japan and Germany 25:08 The Journey to Teaching at Stanford 26:04 Security in Infrastructure: Lessons Learned 27:50 Cybersecurity and AI: A New Frontier 29:27 The Importance of Redundancy in Cybersecurity 30:39 Investing in AI: The Anthropic Experience 32:54 Wealth Creation and Public Participation 34:06 Infrastructure Bottlenecks in AI Development 36:57 Global Perspectives on Data Centers 39:11 The Need for Education on AI Benefits 42:07 Learning from China: A Systems Approach 45:47 Conclusion: Coordinating the Western Frontier

Nathan Lands

28,849 görüntüleme • 3 ay önce

My conversation with Eric Vishria of Benchmark. Eric has spent a decade investing across software and hardware, backing companies like Fireworks, Sierra, Sunday Robotics, and Cerebras. This one is about what history teaches us about the current moment, and a dispatch from inside the AI buildout through his companies. We discuss: - What AWS tells us about how big AI can get - How the goalposts have moved for every software company - Lessons from a decade with Cerebras - China and the energy bottleneck - Benchmark's return to growth investing - Robotics Enjoy! TIMESTAMPS 0:00 Intro 3:36 What Cloud Teaches Us About AI 12:52 Sierra, Sandcastles, and AI Products 17:35 The New SaaS Competitive Frontier 28:28 AI Demand and the Energy Bottleneck 31:28 The Cerebras Story and AI Chips 45:10 The Future of Robotics 52:53 Eric’s Venture Investing Philosophy 1:07:30 Going Public, AI Value, and Jobs
1:17:52

My conversation with Eric Vishria of Benchmark. Eric has spent a decade investing across software and hardware, backing companies like Fireworks, Sierra, Sunday Robotics, and Cerebras. This one is about what history teaches us about the current moment, and a dispatch from inside the AI buildout through his companies. We discuss: - What AWS tells us about how big AI can get - How the goalposts have moved for every software company - Lessons from a decade with Cerebras - China and the energy bottleneck - Benchmark's return to growth investing - Robotics Enjoy! TIMESTAMPS 0:00 Intro 3:36 What Cloud Teaches Us About AI 12:52 Sierra, Sandcastles, and AI Products 17:35 The New SaaS Competitive Frontier 28:28 AI Demand and the Energy Bottleneck 31:28 The Cerebras Story and AI Chips 45:10 The Future of Robotics 52:53 Eric’s Venture Investing Philosophy 1:07:30 Going Public, AI Value, and Jobs

Patrick OShaughnessy

455,326 görüntüleme • 1 gün önce

Bitcoin is bleeding; the most important IPO moment in market history, with SpaceX, Anthropic, and OpenAI all heading to public markets simultaneously; why the data center buildout is falling dangerously behind schedule; Bernie Sanders' plan to give the government a 50% stake in every major AI company in America, and so much more in today's episode on All Things Markets (All Things Markets) with Mike Novogratz (Mike Novogratz) and me. (SALT) Watch on X, YouTube, or Spotify, using the link in the comments below. Timestamps 0:00 Novo and Mooch are back! 0:45 Jobs report: Why is the economy so resilient despite every headwind? 2:11 If you knew everything coming, would you have predicted Bitcoin down 50%? 4:57 Relative Strength Index (RSI) explained 5:55 Is the Bitcoin thesis broken? 8:21 Anthony's Bitcoin position 10:23 The story of 3 IPOs: Anthropic, SpaceX, and OpenAI 12:17 Bernie Sanders "A.I. Is a Public Resource. You Should Own Half of It." 15:40 Galaxy’s data center and what it all means 18:18 The K-shaped economy problem and America's tale of two cities 21:22 Bullish or Bearish 1: Bernie Sanders' AI fund gets serious Senate traction 22:10 Bullish or Bearish 2: The AI energy trade outperforms chip stocks in the second half of 2026 24:24 Bullish or Bearish 3: Bitcoin trades down into the $50s before it gets back into the $70s 27:18 Bullish or Bearish 4: The U.S. enters a recession before year-end 28:03 Bullish or Bearish 5: The Knicks win the NBA Championship 29:46 Novo's story about his father
31:13

Bitcoin is bleeding; the most important IPO moment in market history, with SpaceX, Anthropic, and OpenAI all heading to public markets simultaneously; why the data center buildout is falling dangerously behind schedule; Bernie Sanders' plan to give the government a 50% stake in every major AI company in America, and so much more in today's episode on All Things Markets (All Things Markets) with Mike Novogratz (Mike Novogratz) and me. (SALT) Watch on X, YouTube, or Spotify, using the link in the comments below. Timestamps 0:00 Novo and Mooch are back! 0:45 Jobs report: Why is the economy so resilient despite every headwind? 2:11 If you knew everything coming, would you have predicted Bitcoin down 50%? 4:57 Relative Strength Index (RSI) explained 5:55 Is the Bitcoin thesis broken? 8:21 Anthony's Bitcoin position 10:23 The story of 3 IPOs: Anthropic, SpaceX, and OpenAI 12:17 Bernie Sanders "A.I. Is a Public Resource. You Should Own Half of It." 15:40 Galaxy’s data center and what it all means 18:18 The K-shaped economy problem and America's tale of two cities 21:22 Bullish or Bearish 1: Bernie Sanders' AI fund gets serious Senate traction 22:10 Bullish or Bearish 2: The AI energy trade outperforms chip stocks in the second half of 2026 24:24 Bullish or Bearish 3: Bitcoin trades down into the $50s before it gets back into the $70s 27:18 Bullish or Bearish 4: The U.S. enters a recession before year-end 28:03 Bullish or Bearish 5: The Knicks win the NBA Championship 29:46 Novo's story about his father

Anthony Scaramucci

57,425 görüntüleme • 2 ay önce