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(1/7) Everyone's been piling on the https://t.co/Y095Nvlf7U 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:
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
*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
*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
*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
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:
https://t.co/T6zFZ2O7wc
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