From I. J. Good to Flint: The Long, Strange Quest for Self-Improving AI
Recursive says its Eureka Machine helped build a fast local coding model. We trace the research loop and add Flint to our map of recursive self-improvement.
Turing Post
By 🔳 Turing Post
Latest issues
FOD#173: What Anthropic’s IPO Tells Us About AI Safety
Anthropic’s safety disclosures, the cost of enforcement, and the privacy tradeoff – plus this week’s AI news and research
LeHami Explained – Can Physics Help World Models Predict Motion?
TL;DR: LeHami is a physics-inspired JEPA world model that uses Hamiltonian mechanics to prevent certain kinds of collapse during long-term latent predictions. It represents states using position-like and momentum-like variables, learns an energy-like function, and updates them…
👨🔧 Guest Post: How AI Agents Can Remember What They See
A practical guide to storing visual evidence, searching its context, and retrieving the original image only when needed.
🔳 Welcome to Turing Post
As The Sequence’s co-founder, I spent more than six years explaining machine learning and AI.