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 ...
The New York Times

Notable Researchers Join $4 Billion Effort to Build Self-Improving A.I.

Recursive Superintelligence, founded by former Google, Meta and OpenAI researchers, is part of a growing effort to automate the creation of artificial intelligence. By Cade Metz Reporting from San ...
Forbes

OpenAI Boasts Recursive AI: 3 Examples

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. logos of OpenAI There’s interesting news coming from Sam Altman’s empire, a firm known for ...
TechCrunch

DeepMind’s David Silver just raised $1.1B to build an AI that learns without human data

Ineffable Intelligence, a British AI lab founded a mere few months ago by former DeepMind researcher David Silver, has raised $1.1 billion in funding at a valuation of $5.1 billion to join the race ...
IEEE

Recursive Learning Based Smart Energy Management With Two-Level Dynamic Pricing Demand Response

Abstract: Due to dynamic characteristic of demand response and stochastic nature of power generation, it brings great challenge to smart energy management. In this paper, a demand response model is ...
VentureBeat

New MiniMax M2.7 proprietary AI model is 'self-evolving' and can perform 30-50% of reinforcement learning research workflow

In the last few years, Chinese AI startup MiniMax has become one of the most exciting in the crowded global AI marketplace, carving out a reputation for delivering frontier-level large language models ...
The New York Times

Silicon Valley Wants to Build A.I. That Can Improve A.I. on Its Own

Ricursive Intelligence, founded by two former Google researchers and valued at $4 billion, is among several efforts to automate the creation of artificial intelligence. Anna Goldie and Azalia ...
VentureBeat

MIT’s new ‘recursive’ framework lets LLMs process 10 million tokens without context rot

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 ...
InfoQ

MIT's Recursive Language Models Improve Performance on Long-Context Tasks

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...