From RL theory to a shareable Three.js drone-training demo
A reinforcement-learning primer on drone obstacle avoidance turns into a self-contained, shareable Three.js demo of a drone learning to avoid obstacles.
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A from-scratch guide to porting a diffusion model to WebGPU
Claude clones a browser-based diffusion model port and writes a from-scratch guide covering ONNX export, WebGPU execution, and every design choice in the code.
Do weight-level AI safety patches back up failed classifiers
A technical question about whether weight-level safeguards catch what safety classifiers miss, answered with a precise breakdown of how the two systems relate.
DSPy, GEPA, and the Probabilistic-Programming Case for RLMs
A dialogue tracing DSPy's prompt optimizers through functional programming and monads to probabilistic programming, ending on how recursive models chunk inputs.
Inside an AI Agent Swarm That Built a Browser Engine
A summary of an interview on an experimental browser rendering engine built almost entirely by thousands of concurrent AI coding agents over a single week.