Recursive Self-Improvement Now Has a Co-Evolving Evaluator: Cambridge-NVIDIA Paper Raises the Stakes
Recursive self-improvement AI now has a co-evolving evaluator: a Cambridge and NVIDIA preprint introduces the Red Queen Gödel ...
Recursion Pharmaceuticals (RXRX) ended the recent trading session at $3.23, demonstrating a +2.22% change from the preceding day's closing price. The stock's change was more than the S&P 500's daily ...
Google DeepMind's new report maps four pathways from AGI to artificial superintelligence. Here's how scaling, paradigm shifts ...
A Cambridge University maths student has qualified for the 2026 Pokémon World Championships in San Francisco using skills he said he learned in his studies. Christ's College undergraduate Marcus Koh, ...
One of the world’s leading artificial intelligence companies has implored the industry to pause development on AI, because the latest models could be reaching a tipping point where they become capable ...
The companies at the frontier of artificial intelligence should be ready to slow down, one of the fastest-moving among them says. Anthropic, the maker of the Claude chatbot, has claimed AI systems may ...
One of the key challenges of current multi-agent AI systems is that they communicate by generating and sharing text sequences, which introduces latency, drives up token costs, and makes it difficult ...
Richard Socher has been a major figure in AI for some time, best known for founding the early chatbot startup You.com and, before that, his work on ImageNet. Now he’s joining the current generation of ...
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 ...
Penn researchers have developed a smarter AI method for solving notoriously difficult inverse equations, which help scientists uncover hidden causes behind observable effects. By introducing ...
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 ...
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