Guide 3: Debugging in PyTorch — UvA DL Notebooks v1.2 documentation
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the bug that taught me more about PyTorch than years of using it
by Elana P. Simon

Are the French lazy? - Marginal REVOLUTION
by Tyler Cowen

Dario Amodei — The Adolescence of Technology
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A Straussian reading of The Adolescence of Technology
by Zhengdong Wang

Advancing regulatory variant effect prediction with AlphaGenome - Nature
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(1) Ex-OpenAI Researcher On Why He Left, His Honest AGI Timeline, & The Limits of Scaling RL - YouTube
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(2) Inside the $5.6B Startup Building Robot Brains (Physical Intelligence) - YouTube
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(2) Molecular Genetics, Part 1 - YouTube
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Exploring "Recursive Language Models" with Alex L. Zhang | Deep Learning Study Session - YouTube
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2Doc: Hans, het leven voor de dood
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Buried Talents
by Edan Krolewicz

Moravec's Paradox and the Robot Olympics
by PI

What is the greatest artwork of the century so far? - Marginal REVOLUTION
by Tyler Cowen

Tyler Cowen - Silicon Valley’s Favourite Economist
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Reflections on 2025
by Samuel Albanie

mHC: Manifold-Constrained Hyper-Connections
by DeepSeek

2025 Letter
by Zhengdong Wang

Optimizing Large-Scale Pretraining at Character.ai
by Character.AI Blog

Recursive Language Models
by Alex L. Zhang

What Could Alphafold 4 Look Like?
by Owl Posting

AI/ML in Developmental Biology: The Unprecedented Promise of Proteins and Programs
by Colossal

The Optimistic Case for Protein Foundation Model Companies
by owlposting.com

Kosmos: An AI Scientist for Autonomous Discovery
by edisonscientific.com

(4) History of Diffusion - Yang Song - YouTube
by youtube.com

(4) Predicting Cellular Responses to Perturbation Across Diverse Contexts With State | Abhinav Adduri - YouTube
by youtube.com

ROSALÍA - Berghain (Official Video) Feat. Björk & Yves Tumor
by RosaliaVEVO

The Bug That Taught Me More About PyTorch Than Years of Using It
by Elana Simon

Has Google Quietly Solved Two of AI’s Oldest Problems?
by Mark Humphries

Failing to Understand the Exponential, Again
by Julian Schrittwieser

LoRA Without Regret
by Thinking Machines Lab

We Reverse-Engineered Flash Attention 4
by Timothy Feng

The Majority Is Not Always Right: RL Training for Solution Aggregation
by Wenting Zhao, Pranjal Aggarwal, Swarnadeep Saha, Asli Celikyilmaz, Jason Weston

Demystifying NCCL: An in-Depth Analysis of GPU Communication Protocols and Algorithms
by Zhiyi Hu, Siyuan Shen, Tommaso Bonato, Sylvain Jeaugey, Cedell Alexander, Eric Spada, Jeff Hammond, ...

Defeating Nondeterminism in LLM Inference
by Thinking Machines Lab

Learning CUDA by Optimizing Softmax: A Worklog
by Maharshi's blog

AI World Models
by Sasha Rush

NVFP4 Trains With Precision of 16-Bit and Speed and Efficiency of 4-Bit
by Kirthi Devleker

Quantization for Neural Networks
by Lei Mao

A Discussion With Tyler Cowen
by AI Policy Perspectives

Achieving 10,000x Training Data Reduction With High-Fidelity Labels
by research.google

Vision Language Models Are Biased
by An Vo, Khai-Nguyen Nguyen, Mohammad Reza Taesiri, Vy Tuong Dang, Anh Totti Nguyen, Daeyoung Kim

CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction
by Junlong Li, Daya Guo, Dejian Yang, Runxin Xu, Yu Wu, Junxian He

Echo Chamber: RL Post-Training Amplifies Behaviors Learned in Pretraining
by Rosie Zhao, Alexandru Meterez, Sham Kakade, Cengiz Pehlevan, Samy Jelassi, Eran Malach

Mixture of Experts Explained
by huggingface.co

How to Scale Your Model
by jax-ml.github.io

Advice for Time Management as a Manager
by benkuhn.net

Deep Reinforcement Learning: Pong From Pixels
by karpathy.github.io

Vision-Speech Models: Teaching Speech Models to Converse About Images
by Amélie Royer, Moritz Böhle, Gabriel de Marmiesse, Laurent Mazaré, Neil Zeghidour, Alexandre Défossez...

SuperBPE: Space Travel for Language Models
by Alisa Liu, Jonathan Hayase, Valentin Hofmann, Sewoong Oh, Noah A. Smith, Yejin Choi