







The first step towards recursive self improvement
When AI builds itself
Our progress toward recursive self-improvement, and its implications.

Harness Engineering for Self-Improvement
The concept of recursive self-improvement (RSI) dates back to I. J. Good (1965), where he defined an “ultraintelligent machine” as a system that can surpass humans in all intellectual activities and design better machines to improve itself. Yudkowsky (2008) used the phrase “recursive self-improvement” for a specific feedback loop: an AI uses its current intelligence to improve the cognitive machinery that produces its intelligence. This feedback loop in modern AI may indicate the model rewriting its own weights directly, or more broadly the model improves the training pipeline and the deployment system, which in turn enables a better successor model with improved performance across economically valuable tasks. The speed of research development in AI has been shown to drastically accelerated in frontier labs (Anthropic; OpenAI).
RSI Simulator: Play the Economics of Recursive Self-Improvement
Bootstrap an AI lab from scratch. A web game from Paradigm built on real economic models of AI recursive self-improvement.

Hyprstream - the open network for self-improving AI, the future of Plan9
Peter Wildeford🇺🇸🚀 on Twitter / X
Great to see @tristanharris talking on his podcast about recursive self-improvement. Here's how his guest, Tim Fist, puts it -- "Over the last few months we've had all three of the leading US AI labs say that having the option for a global slowdown or pause in AI development is… https://t.co/s5UURtkEjQ— Peter Wildeford🇺🇸🚀 (@peterwildeford) June 21, 2026
Meet Foundry: An AI Startup that Builds, Evaluates, and Improves AI Agents

My Thoughts on AI, Part 2: Agent Setup, Workflow, and Tools
My own personal AI development setup, workflow, and tooling

The antidote to AI fatigue — Answer.ai Solveit
AI: A Guide for Thinking Humans | Melanie Mitchell | Substack
I write about interesting new developments in AI. Click to read AI: A Guide for Thinking Humans, by Melanie Mitchell, a Substack publication with tens of thousands of subscribers.


Letta
Making machines that learn. Create stateful agents that remember everything, learn continuously, and improve themselves over time.

Import AI 466: The bitter lesson for robotics, AIs complete week-long programming tasks; and OpenAI's accidental AI hacker
The warning shots will continue until civilization wakes up

Jenny Zhang on Twitter / X
Introducing Hyperagents: an AI system that not only improves at solving tasks, but also improves how it improves itself.The Darwin Gödel Machine (DGM) demonstrated that open-ended self-improvement is possible by iteratively generating and evaluating improved agents, yet it… pic.twitter.com/YJPFTJ51SO— Jenny Zhang (@jennyzhangzt) March 23, 2026

Dario Amodei — Machines of Loving Grace
How AI Could Transform the World for the Better

Dario Amodei — Machines of Loving Grace
How AI Could Transform the World for the Better


Running local models on an M4 with 24GB memory | jola.dev
Why and How to Run Local Models in Zed

Running local models is good now