How RecursiveMAS speeds up multi-agent inference by 2.4x and reduces token usage by 75%

UIUC and Stanford's RecursiveMAS lets AI agents collaborate in embedding space instead of text, cutting token usage by 75% ...
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Recursive Superintelligence raises $650M to build self-improving AI models

Recursive Superintelligence Inc., a startup that hopes to develop self-improving artificial intelligence models, launched today with $650 million in funding. Alphabet Inc.’s GV fund and Greycroft led ...
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Fudan University models achieve autonomous self-replication in tests

Researchers at Fudan University have demonstrated that open-source large language models, including Meta’s Llama3.1-70B and Alibaba’s Qwen2.5-72B, can autonomously self-replicate under controlled ...