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HexoAI releases SIA, an open-source self-improving AI that recursively improves its abilities to achieve any goal.
Marco Oram shares his exploration of automating LLM fine-tuning using Fireworks AI Agent, fine-tuning a small Qwen model to integrate with his PaperWiki project, demonstrating a step toward self-improving AI.
Recursive Superintelligence raised over $650 million at a $4 billion valuation to develop AI that can improve itself with minimal human involvement, backed by prominent researchers from leading AI companies.
Recursive Superintelligence, a new startup aiming to automate knowledge discovery with self-improving AI, has launched with over $650 million in funding led by GV and Greycroft.
Today we launch Recursive, an AI company focused on recursive self-improvement and knowledge discovery to advance science and technology.
Recursive, an AI startup founded by former research leaders from OpenAI, DeepMind, and others, emerged from stealth with a $650M funding round to develop recursively self-improving AI through open-ended scientific discovery, aiming for superintelligence.
SIA is a self-improving AI framework that uses a meta-agent, target agent, and feedback agent to autonomously improve performance on benchmark tasks, achieving significant gains on LawBench, GPU kernel optimization, and single-cell RNA denoising.