Training
How AI models learn — RLHF, fine-tuning, GRPO, reinforcement learning, and the training pipelines behind modern agents.
Features
The Training Data Problem: Why What Models Learn From Matters More Than How Much
The AI industry's defining bottleneck has shifted from architecture and compute to something far less glamorous: the data itself.
signals
Agents That Rewrite Themselves: The Self-Modifying Stack Is Here
Three independent papers demonstrate agents rewriting their own training code, generating their own knowledge structures, and refining their reasoning at test time. Self-improvement has moved from theory to working engineering.