The Economist

How artificial intelligence got better at building itself

The systems have improved in quality of output as well as quantity. An influential benchmark from METR, a think-tank, shows ...
winbuzzer.com

Sakana AI Opens Lab For Recursive Self-Improvement

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 ...
Scientific American

Anthropic warns AI could soon start improving itself. Critics aren’t convinced

The maker of Claude wants AI labs, including itself, to prepare for a coordinated slowdown if models begin building their own ...
IEEE

Recursive Identification Based on Local Likelihood Function with Binary-Valued Observations

Abstract: This paper studies the control-oriented recursive identification of finite impulse response systems with binary-valued observations. Inspired by the Maximum Likelihood method, a novel ...
IEEE

Implicit Time-Integration Simulation of Robots With Rigid Bodies and Cosserat Rods Based on a Newton–Euler Recursive Algorithm

Abstract: In this article, we propose a new algorithm for solving the forward dynamics of multibody systems consisting of rigid bodies connected in arbitrary topologies by localized joints and/or soft ...
GitHub

X For You Feed Algorithm

This repository contains the core recommendation system powering the "For You" feed on X. It combines in-network content (from accounts you follow) with out-of-network content (discovered through ...
unite

Recursive Superintelligence Raises $650 Million to Pursue Self-Improving AI

A new frontier AI company called Recursive Superintelligence has emerged from stealth with $650 million in funding and an unusually ambitious goal: building AI systems capable of improving themselves ...