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Guest Post: The Coding Personalities of Leading LLMs*

AI 101: What are Modular Manifolds?

How Thinking Machines Lab is redefining neural network optimization through geometry-awareness

FOD#122: What Are Thinking Tokens

and how they might be fueling the AI bubble

AI 101: What's New in World Models?

A glimpse at Code World Model, PSI, and others – redefining how models catch the world in their nets

FOD#121: $300 million to start – a big promise for science

plus What Does Karpathy see – our new regular monthly observation

🎙️ Can AI Сatch Cancer?

The Future of Cancer Diagnosis: Digital Pathology and AI

How to cut AI storage costs up to 65% – without slowing down innovation*

Join CoreWeave experts to see how storage built for the realities of AI eliminates tiers, replication, and hidden fees

AI 101: Reinforcement Learning: The Ultimate Guide to Past, Present, and Future

From the early trial-and-error concepts to today’s breakthroughs with RLHF, PPO, and GRPO, and where to go next, according to Andrej Karpathy and Richard Sutton.

FOD#120: GRPO -> Why is everybody talking about it this weekend?

plus a bit of a bitter lesson and the best curated roundup of impactful news, important models, related research papers, and what to read

Who is in the Driving Seat?! Learning with AI

Use AI With Your Kids Like This

A Deep Dive into NVIDIA Blackwell*

October 1; 9 am PDT

AI 101: Rethinking Causal Attention

How Causal Attention with Lookahead Keys (CASTLE) and future-aware casual masks reshape the strict left-and-right order of autoregressive models, plus attention in cause-effect relationships.