§ models · storyline
Sakana AI bets AI that improves itself can break the compute arms race of frontier labs
Sakana AI launches a dedicated recursive self-improvement research lab, positioning iterative self-improving AI as an alternative to the compute scaling race among large frontier labs.
Sakana AI has launched a dedicated research lab for recursive self-improvement: AI that iteratively improves itself. The Japanese startup, co-founded by Transformer co-author Llion Jones, sees RSI as an alternative to the raw compute arms race among big US labs.
Anthropic, meanwhile, warns about the control risks of this very technology. The article Sakana AI bets AI that improves itself can break the compute arms race of frontier labs appeared first on The Decoder.
§ sources2 publications · timeline below
§ how this story moved
- primary — Reddit — AI Communities publishes the launch post.
- The Decoder picks up coverage.