Recursive shows first result of its AI-driven research process with Flint

AI startup Recursive unveiled Flint, its first language model — a 40-billion-parameter mixture-of-experts model for local coding — built by former DeepMind researchers in four months using the company's in-house "Eureka Machine" system, which independently tests and optimizes architectures. Recursive has not yet shown whether the AI-driven research process will lead to self-improving AI.

Recursive shows first result of its AI-driven research process with Flint The Decoder https://the-decoder.com The AI startup https://www.machinebrief.com/category/startups Recursive is unveiling Flint, its first language model https://www.machinebrief.com/glossary/language-model , a 40-billion- parameter https://www.machinebrief.com/glossary/parameter MoE for local coding developed by former DeepMind https://www.machinebrief.com/glossary/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. The article Recursive shows first result of its AI-driven research process with Flint https://the-decoder.com/recursive-shows-first-result-of-its-ai-driven-research-process-with-flint/ appeared first on The Decoder https://the-decoder.com . Get AI news in your inbox Daily digest of what matters in AI. Key Terms Explained Decoder https://www.machinebrief.com/glossary/decoder The part of a neural network that generates output from an internal representation. DeepMind https://www.machinebrief.com/glossary/deepmind A leading AI research lab, now part of Google. Language Model https://www.machinebrief.com/glossary/language-model An AI model that understands and generates human language. Parameter https://www.machinebrief.com/glossary/parameter A value the model learns during training — specifically, the weights and biases in neural network layers.