*New Lecture* Stanford @CS153Systems '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

live today at 12pm pst on @CS153Systems office hours with Senior White House Policy Advisor on AI @Sriramk bring your questions youtube.com/watch?v=Tc_dy9cq…

PSA: several folks have asked where they can find the full stanford @CS153Systems '26 lectures they are uploaded each week on the official @Stanford online youtube channel and we've also created a playlist of them here for easy discovery: youtube.com/playlist?list=PL…

this will be an inside look at @AnthropicAI's frontier systems design process happening in 20 mins live on youtube come lunch and learn at @CS153Systems office hours!

Excited to be joining Stanford CS 153 Office Hours tomorrow with @AnjneyMidha! We’ll be chatting about agent harnesses, long running agents and answering live Q&A. Link in thread 🧵

Excited to join Stanford CS 153 Office Hours tomorrow: Friday, May 1st at 12PM PT with @AnjneyMidha and @Mabb0tt. Live Q&A. Come say hi - link in thread.

*New Lecture* Stanford @CS153Systems '26, Session 8 (Full Video) Energy Bottlenecks with @ScottNolan from @generalmatter 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 @CS153Systems '26, Session 5 (Full Video) Unified Intelligence with Amit Jain (@gravicle) from @LumaLabsAI 01:32 Luma's Origin Story 05:33 Differentiable World Learning 06:36 From 3D Capture To Video 10:40 Dream Machine Flywheel 13:48 Inside The Luma Factory 23:04 Unified Models Explained 32:29 Future Architectures 34:02 Skills and Tools 41:04 Creativity and Exploration 43:03 Sora Shutdown 47:08 GANs Diffusion and Hybrids 51:19 Hollywood Business Model Reset 55:01 What Makes Video Models Useful

scaling laws at Stanford today kicking off an incredible CS153 for the 4th year running with @AnjneyMidha @mabb0tt and a GOAT speaker lineup

*New Lecture* Stanford @CS153Systems, Session 4 (Full Video) Frontier Visual Intelligence Systems with @andi_blatt from @bfl_ml 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

Stanford @CS153Systems '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 @CS153Systems, 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

CS153: The Coachella of Frontier AI Systems

(1/7) Everyone's been piling on the cs153.stanford.edu/ syllabus at @Stanford by @AnjneyMidha and @mabb0tt as being too high-level (I saw some comparisons being made to Ted Talks, even Coachella 😅) fwiw I personally think this is a great class, and its probably significantly more value in-person than online. I saw the lectures with @GuillaumeLample and @sualehasif996 from the Winter 2025 session and personally found them very informative. But if you're looking for a deeper dive into frontier AI systems, here are 5 courses (and a few other resources) you will like: