While there have been many sober warnings about AI and recursive self-improvement, Arianna Huffington argues that it is a ...

The loop takes agentic AI a step further by authorizing a swarm of agents to work continuously in the background, endlessly.

It may feel like the body keeps the score, but the brain is running the show, mispredicting danger long after the threat is ...

Sakana AI has opened a Recursive Self-Improvement Lab to test whether AI systems can help redesign and optimize future AI systems, a bet aimed at reducing frontier AI’s dependence on brute-force ...

May 25, 2026 — Canton Foundation, Toss, BitGo Among Co-Hosts at Private Event; Token Launch Slated for Second Half of 2026. On May 21, ARIQO, an on-chain financial platform, made its first public ...

Recursive Agents implements a three-phase iterative refinement architecture where LLM agents (instances of Classes) critique and improve their own outputs. Unlike single-pass systems, each agent ...

PycoClaw is a MicroPython-based platform for running AI agents on ESP32 and other microcontrollers that brings OpenClaw workspace-compatible intelligence to resource-constrained embedded devices. We ...

High-performance computing (HPC) plays a critical role in scientific discovery, engineering simulation, and data-intensive applications. Open Multi-Processing (OpenMP) is one of the most widely ...

Recursive language models (RLMs) are an inference technique developed by researchers at MIT CSAIL that treat long prompts as an external environment to the model. Instead of forcing the entire prompt ...

The goal of this project is to teach AI to devise and implement better algorithms than human programmers. This is done in a self-play loop using language models (such as GPT) to generate and solve ...