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Lessons From Training Composer At Cursor And Building Meta/Nvidia Compute Clusters | YC Paper Club 77 min 
What Makes Great AI Agents? 
Nothing I’ve Played Feels Like This… PRAGMATA (Walkthrough Gameplay Part 3) 91 min 
IBM’s mainframe chip collab, NVIDIA’s Poolside deal & Ox Alpha’s reveal 31 min 
AI News: The Most Insane Week So Far This Year! 31 min 
AI News: Microsoft Finally Reveals Their Plan! 31 min 
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Name That Infrastructure (Ep. 11) #shorts 1 min 
The Hidden Engineering of Niagara Falls 16 min 
The Physics Behind the Thumb Trick 18 min 
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The Blob’s Epic Practical Horror Finale | The Blob 7 min 
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Editing Your DNA, with Nobel Prize Winner Dr. Jennifer Doudna 54 min 
Apple Intelligence scares me 1 min 
The Massive Machine Hidden in the Deep Ocean 16 min 
World's Tallest Keyboard 1 min 
I Tried All The Best (and Worst) Doorbells 18 min 
I Built a Fake Home Theater in the Tech House… 18 min 
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How many LTT MCM Arches can hold a PC? 1 min 
Will I ever want to have kids? | The Gray Area 56 min 
Why Roads Get Washboards 18 min 
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The twin experiment that broke genetics research 17 min 
What your language says about you 8 min 
The World's Deepest Hole is Under This Cover 2 min 
How NASA Discovered a Military Base under Greenland 22 min 
The Weird Reason Tornadoes Are Clumping Together #science #scishow #stem #shorts 1 min 
What's Hidden Under Antarctica? 19 min 
Which of these is the best idea? 🤷♂️ #batmobile #batman #engineering 1 min 
What could this project be? 👀🥬 (Members' Update #46) 4 min 
Peppa learns how to make a YUMMY Smoothie! 🥤 #PeppaPigTales #Shorts #LEGODUPLO 1 min 
Peppa Meets a Hedgehog 🦔 #shorts #peppapig 1 min 
The Road to 3 Million Views🚀 1 min 
Learn Colors with Vending Machine | Learn Fruits & Veggies | Nursery Rhymes | BabyBus 36 min 
9 Free AI Skills That Feel Like Cheat Codes 30 min 
Boat Picnic 🧺 #shorts #peppapig 1 min 
FULL METAL ALCHEMY (ft. Sir Isaac Newton) 1 min 
1 CLOVE in Your Coffee Every Morning (Here's What Happens) 8 min At our latest YC Paper Club, researchers and builders presented on multi-GPU kernel optimization, intelligence per watt for local inference, AI-generated GPU kernels and benchmarking, heterogeneous inference infrastructure design, and GPU-accelerated game engines for reinforcement learning. Thanks to the following presenters: Stuart Sul (Stanford / Cursor), John (Stanford), Mark (PyTorch / GPU Mode / CoreAuto), Misha (Marlo), and Brennan (Stanford) Transcript: https://www.ycrootaccess.com/p/multi-gpu-kernels-intelligence-per Chapters: 0:00 – Francois Chaubard: The case for chip and kernel specialization 7:16 – Stuart Sul: Parallel Kittens - Systematic and Practical Simplification of Multi-GPU Al Kernels (https://arxiv.org/abs/2511.13940) 21:29 – Jon Saad-Falcon: Intelligence per Watt - Measuring the Intelligence Efficiency of Local and Cloud AI (https://arxiv.org/abs/2511.07885) 31:05 – Mark Saroufim: When Al Starts Writing Systems Code 47:04 – Misha Smelyanskiy: Why AI Inference Needs Heterogeneous Hardware 1:04:33 – Brennan Shacklett: Building a High-Throughput Game Engine that Runs ENTIRELY on the GPU (https://madrona-engine.github.io/shacklett_siggraph23.pdf) 1:15:35 – Wrap-up & what's next Apply to Y Combinator: https://www.ycombinator.com/apply Work at a startup: https://www.ycombinator.com/jobs
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