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Anjney Midha

@AnjneyMidha • 47,511 subscribers

founder @amppublic • visiting scientist @stanford • teaching @cs153systems

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*New Lecture* Stanford Frontier Systems '26, Session 8 The Compute Behind Intelligence with Jensen Huang from NVIDIA full link in comment - this clip is just the one where he talks about tomatoes

New Lecture Stanford Frontier Systems '26, Session 8 The Compute Behind Intelligence with Jensen Huang from NVIDIA full link in comment - this clip is just the one where he talks about tomatoes

326,948 views • 1 month ago

Stanford Frontier Systems, Week 1 (Full Lecture) AI Scaling, Bottlenecks, and Why Compute Isn't a Commodity Yet 00:00 Compute Coachella 00:29 Simple Life Heuristic 01:08 Uncertainty Creates Opportunity 01:42 Four Bottlenecks Framework 01:51 Empirical Proof Matters 02:05 Cloud Costs Are Shifting 02:15 Verifiable vs Fuzzy Progress 02:48 Scaling Predictability Explained 03:43 CapEx Explosion in Big Tech 04:06 Chips Aren’t Commodities 04:45 Compute Scarcity Conclusion

Stanford Frontier Systems, Week 1 (Full Lecture) AI Scaling, Bottlenecks, and Why Compute Isn't a Commodity Yet 00:00 Compute Coachella 00:29 Simple Life Heuristic 01:08 Uncertainty Creates Opportunity 01:42 Four Bottlenecks Framework 01:51 Empirical Proof Matters 02:05 Cloud Costs Are Shifting 02:15 Verifiable vs Fuzzy Progress 02:48 Scaling Predictability Explained 03:43 CapEx Explosion in Big Tech 04:06 Chips Aren’t Commodities 04:45 Compute Scarcity Conclusion

401,276 views • 2 months ago

*New Lecture* Stanford Frontier Systems '26, Session 8 (Full Video) Energy Bottlenecks with Scott Nolan from General Matter 00:00 Energy Bottlenecks Intro 00:11 AI Factory Overview 02:55 Why Power Matters 03:56 From ChatGPT to Enterprise Demand 07:25 Meet Scott Nolan 09:03 Energy Is The Real Limit 11:16 Demand Growth Reality Check 13:17 Stranded Power Era 15:54 What Data Centers Need 16:59 Nuclear As Baseload Path 18:21 Fuel Cycle And Enrichment Gap 21:41 Bitcoin Mining As Rehearsal 25:03 Building Primitives Not Pivots 28:17 Nuclear Safety And Narrative 30:22 Calibrating the Moment 30:54 Pick Important Problems 32:14 General Matter Breakthrough 35:04 Building Team and Site 37:18 Government Support Reality 39:19 Jobs and AI Demand 42:37 Scaling Timelines and Space 46:16 Early SpaceX Lessons 50:25 Nuclear Perception and Europe 53:17 Supply Chain and Enrichment 56:56 Why US Lost Enrichment 59:25 Back to the Future Wrap

New Lecture Stanford Frontier Systems '26, Session 8 (Full Video) Energy Bottlenecks with Scott Nolan from General Matter 00:00 Energy Bottlenecks Intro 00:11 AI Factory Overview 02:55 Why Power Matters 03:56 From ChatGPT to Enterprise Demand 07:25 Meet Scott Nolan 09:03 Energy Is The Real Limit 11:16 Demand Growth Reality Check 13:17 Stranded Power Era 15:54 What Data Centers Need 16:59 Nuclear As Baseload Path 18:21 Fuel Cycle And Enrichment Gap 21:41 Bitcoin Mining As Rehearsal 25:03 Building Primitives Not Pivots 28:17 Nuclear Safety And Narrative 30:22 Calibrating the Moment 30:54 Pick Important Problems 32:14 General Matter Breakthrough 35:04 Building Team and Site 37:18 Government Support Reality 39:19 Jobs and AI Demand 42:37 Scaling Timelines and Space 46:16 Early SpaceX Lessons 50:25 Nuclear Perception and Europe 53:17 Supply Chain and Enrichment 56:56 Why US Lost Enrichment 59:25 Back to the Future Wrap

121,760 views • 1 month ago

*New Lecture* Stanford Frontier Systems Session 7 (Full Video) Systems to scale capital deployment with benahorowitz.eth from a16z 01:40 Quincy Jones 04:00 Founding a16z Model 06:26 Scaling the Firm 09:49 Winning Over LPs 11:50 Network Effects Explained 15:09 Bootstrapping the Network 17:21 Incumbent Antibodies 20:09 AI Changes Moats 25:35 Unlimited Capital Ideas 28:26 Avoid Dorm Room Ideas 29:47 Solve Small Problems First 32:17 Solve Problems First 33:36 Facebook Culture Lessons 35:03 Culture Is Actions 38:09 Leadership Beats Democracy 42:01 Investors Cannot Run It 45:09 Saying No To LBOs 48:21 Student Advice On AI 51:15 Tech Voice In Politics 54:01 Rap Group Origins 54:59 Pitching And Founder Bets 57:52 SaaS Moats And Wall Street 01:02:33 AI Hype And Real Risks 01:05:57 Rational Optimism

New Lecture Stanford Frontier Systems Session 7 (Full Video) Systems to scale capital deployment with benahorowitz.eth from a16z 01:40 Quincy Jones 04:00 Founding a16z Model 06:26 Scaling the Firm 09:49 Winning Over LPs 11:50 Network Effects Explained 15:09 Bootstrapping the Network 17:21 Incumbent Antibodies 20:09 AI Changes Moats 25:35 Unlimited Capital Ideas 28:26 Avoid Dorm Room Ideas 29:47 Solve Small Problems First 32:17 Solve Problems First 33:36 Facebook Culture Lessons 35:03 Culture Is Actions 38:09 Leadership Beats Democracy 42:01 Investors Cannot Run It 45:09 Saying No To LBOs 48:21 Student Advice On AI 51:15 Tech Voice In Politics 54:01 Rap Group Origins 54:59 Pitching And Founder Bets 57:52 SaaS Moats And Wall Street 01:02:33 AI Hype And Real Risks 01:05:57 Rational Optimism

87,128 views • 1 month ago

Stanford Frontier Systems '26, Session 3 (Full lecture) The Future of Voice Systems with @matiii from ElevenLabs 00:00 Welcome and Intro 01:31 Origin Story on Discord 05:15 The Dubbing Problem 07:44 Pipeline and Early Pivot 12:38 Building the First Model 15:24 Compute Costs and Patents 17:34 Roadmap Through 2025 22:00 Cascaded vs Fused Agents 30:38 Collaboration Over Competition 35:05 Revenue Growth and Team Design 37:56 Predictable Deployment Engine 42:32 Voice Safety and Watermarking 44:27 Research Bottlenecks Personalization 46:24 Training Tradeoffs Cascade vs Fuse 48:20 Five Year Vision Platform 51:08 Impact Work ALS and Ukraine 54:40 China Distillation and Openness 59:24 Studios AI Voice Economics 01:03:04 On Device Models and Platform Gap 01:04:36 Enterprise Tooling and Wrap Up

Stanford Frontier Systems '26, Session 3 (Full lecture) The Future of Voice Systems with @matiii from ElevenLabs 00:00 Welcome and Intro 01:31 Origin Story on Discord 05:15 The Dubbing Problem 07:44 Pipeline and Early Pivot 12:38 Building the First Model 15:24 Compute Costs and Patents 17:34 Roadmap Through 2025 22:00 Cascaded vs Fused Agents 30:38 Collaboration Over Competition 35:05 Revenue Growth and Team Design 37:56 Predictable Deployment Engine 42:32 Voice Safety and Watermarking 44:27 Research Bottlenecks Personalization 46:24 Training Tradeoffs Cascade vs Fuse 48:20 Five Year Vision Platform 51:08 Impact Work ALS and Ukraine 54:40 China Distillation and Openness 59:24 Studios AI Voice Economics 01:03:04 On Device Models and Platform Gap 01:04:36 Enterprise Tooling and Wrap Up

79,050 views • 2 months ago

*New Lecture* Stanford Frontier Systems, Session 4 (Full Video) Frontier Visual Intelligence Systems with Andreas Blattmann from BlackForestLabsAI - Unofficial 00:00 Bella Napoli 00:56 Frontier Flywheel Recap 04:29 Intro to Andi 06:26 From GANs to Latent Diffusion 08:31 Stable Diffusion Breakthrough 15:20 Beyond Content Creation 18:28 Starting Black Forest Labs 21:07 Flux One Training Pipeline 24:15 Character Consistency Leap 27:02 Leadership Under Pressure 30:40 What Comes Next 32:06 Training to Action 41:07 Self Flow Intuition 48:35 Labeling and Distillation 57:09 3D vs Video Debate

New Lecture Stanford Frontier Systems, Session 4 (Full Video) Frontier Visual Intelligence Systems with Andreas Blattmann from BlackForestLabsAI - Unofficial 00:00 Bella Napoli 00:56 Frontier Flywheel Recap 04:29 Intro to Andi 06:26 From GANs to Latent Diffusion 08:31 Stable Diffusion Breakthrough 15:20 Beyond Content Creation 18:28 Starting Black Forest Labs 21:07 Flux One Training Pipeline 24:15 Character Consistency Leap 27:02 Leadership Under Pressure 30:40 What Comes Next 32:06 Training to Action 41:07 Self Flow Intuition 48:35 Labeling and Distillation 57:09 3D vs Video Debate

73,818 views • 2 months ago

"the most exciting trend in the last 6 months is that the local AI models are good now" - Simon Willison

"the most exciting trend in the last 6 months is that the local AI models are good now" - Simon Willison

Anjney Midha 🇺🇸

83,061 views • 1 year ago

In its first 34 days, OpenAI codex merged 350K PRs. It's since gone on to merge over 1M PRs, and continues to explode in usage. Sat down with Alexander Embiricos for our latest a16z episode to get the full back story on how Codex was born, and where we're going next:

In its first 34 days, OpenAI codex merged 350K PRs. It's since gone on to merge over 1M PRs, and continues to explode in usage. Sat down with Alexander Embiricos for our latest a16z episode to get the full back story on how Codex was born, and where we're going next:

37,366 views • 9 months ago

How OpenAI made Codex The full episode with Alexander Embiricos is now live: Timestamps 0:00:00 Intro: Meet the Codex Team 0:00:21 Origin Story of Codex 0:15:03 How Users Are Adopting Codex: Surprising Patterns 0:36:38 Is AI Eating Software Engineering? 1:00:05 Building a Startup in the Age of AI Agents 1:07:58 Why Some Students Excel with AI Tools 1:10:56 Hiring at OpenAI: What Stands Out

How OpenAI made Codex The full episode with Alexander Embiricos is now live: Timestamps 0:00:00 Intro: Meet the Codex Team 0:00:21 Origin Story of Codex 0:15:03 How Users Are Adopting Codex: Surprising Patterns 0:36:38 Is AI Eating Software Engineering? 1:00:05 Building a Startup in the Age of AI Agents 1:07:58 Why Some Students Excel with AI Tools 1:10:56 Hiring at OpenAI: What Stands Out

31,764 views • 9 months ago

Stable Diffusion's impact on the world was stunning. But what are the original creators of SD doing next? Continuing to advance open source AI with their new company Black Forest Labs We a16z are excited to back Robin Rombach Andreas Blattmann Patrick Esser and the entire BFL team on this mission

Stable Diffusion's impact on the world was stunning. But what are the original creators of SD doing next? Continuing to advance open source AI with their new company Black Forest Labs We a16z are excited to back Robin Rombach Andreas Blattmann Patrick Esser and the entire BFL team on this mission

Anjney Midha 🇺🇸

53,015 views • 1 year ago

the core research team behind the sesame voice model is <9 ppl as Ankit Kumar walked through in our latest 1.5 hr podcast, talent density beats team size most days

the core research team behind the sesame voice model is <9 ppl as Ankit Kumar walked through in our latest 1.5 hr podcast, talent density beats team size most days

Anjney Midha 🇺🇸

34,761 views • 1 year ago

if you're building for the right reasons, you don't need anyone else's permission a moment from our recent scout dinner:

if you're building for the right reasons, you don't need anyone else's permission a moment from our recent scout dinner:

17,086 views • 9 months ago

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