@josh_tobin_: Lots of people have been asking me what we're up to at @Recursive_SI. We still can't say much quite yet, but we thought…
Summary
Josh Tobin teases Recursive_SI's automated researchers, showing early demos of performance optimization capabilities.
View Cached Full Text
Cached at: 06/11/26, 07:40 PM
Lots of people have been asking me what we’re up to at @Recursive_SI.
We still can’t say much quite yet, but we thought we’d share a little early demo.
It turns out our automated researchers are pretty effective at performance optimization! https://t.co/SWfJ6UFzsa
Similar Articles
@Recursive_SI: https://x.com/Recursive_SI/status/2054490801972166898
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.
@Recursive_SI: https://x.com/Recursive_SI/status/2064980090702962699
Recursive releases early results from its automated AI research system, achieving state-of-the-art in fixed-budget language model training, small-model training speed, and GPU kernel optimization, and open-sources artifacts.
@tydsh: Today we launch Recursive. We are building AI that discovers knowledge automatically and improves itself recursively, a…
Today we launch Recursive, an AI company focused on recursive self-improvement and knowledge discovery to advance science and technology.
@ChengleiSi: Excited to share these preliminary results on our internal autoresearch system @Recursive_SI, where we achieve SOTA on …
Recursive's automated AI research system achieves state-of-the-art results on NanoChat, NanoGPT Speedrun, and GPU kernel benchmarks by automating the research loop without task-specific adaptations, and open-sourcing artifacts for further inspection.
@timshi_ai: Excited to share that we’ve started Recursive Superintelligence to automate knowledge discovery, starting with AI that …
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.