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Frontier Systems

Frontier Systems

@CS153Systems

Field notes from the people building the future.

Palo Alto, CA Katılım Ocak 2025
19 Takip Edilen4K Takipçiler
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michael abbott
michael abbott@mabb0tt·
one of the privileges of teaching cs153 @stanford is getting to bring people into the room who have actually built the future. several weeks ago, that person was @satyanadella he joined us in the middle of microsoft build, one of the biggest weeks on his calendar, and chose to spend part of it with a room full of students. i haven’t stopped thinking about that. goes to show that the best builders never really stop building. and, for satya, that means investing in the people who will build it next. catch the full session here: youtube.com/watch?v=d0Pfu6…
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Anjney Midha
Anjney Midha@AnjneyMidha·
*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
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Anjney Midha
Anjney Midha@AnjneyMidha·
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=…
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Prithvi Rajasekaran
Prithvi Rajasekaran@rgb_prithvi·
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 🧵
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Anastasios Nikolas Angelopoulos
Anastasios Nikolas Angelopoulos@ml_angelopoulos·
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.
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Anjney Midha
Anjney Midha@AnjneyMidha·
*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
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Anjney Midha
Anjney Midha@AnjneyMidha·
*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
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Vivian Midha Shen
Vivian Midha Shen@vivianmshen·
scaling laws at Stanford today kicking off an incredible CS153 for the 4th year running with @AnjneyMidha @mabb0tt and a GOAT speaker lineup
Vivian Midha Shen tweet mediaVivian Midha Shen tweet mediaVivian Midha Shen tweet media
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Anjney Midha
Anjney Midha@AnjneyMidha·
*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
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Anjney Midha
Anjney Midha@AnjneyMidha·
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
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Anjney Midha
Anjney Midha@AnjneyMidha·
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
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sshkhr
sshkhr@sshkhr16·
(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:
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