Recursive shows first result of its AI-driven research process with Flint
Recursive shows first result of its AI-driven research process with Flint
The AI startup Recursive is unveiling Flint, its first language model, a 40-billion-parameter MoE for local coding developed by former DeepMind researchers. It was created in four months using the company's in-house AI system, "Eureka Machine," which independently tests and optimizes architectures. Recursive has yet to prove whether this approach will actually lead to self-improving AI.
Selection record
AdmittedSum of both 154 ≥ twice the threshold 152
- Source tier
- Media and individuals; this tier's threshold is 76
- Pre-filter
- passed：AI初创发布AI驱动研发的语言模型
- Why it was chosen
- Recursive's first public model built with an AI system in the loop, showing how far automated research actually reaches into model development.
- Same event
A model scores each item twice, independently, against one written standard, out of 100. An item is admitted only when the two scores add up to twice the threshold. The threshold is set per source tier.
Source: The Decoder · the-decoder.com