NaiveAI releases a 309B model built with AI-assisted research
The open-weight model targets coding and AI research, pairing a 1-million-token context with a custom inference runtime and company-reported speed claims.
By Ryan Merket · Published
Primary source: X
Why it matters
NaiveAI is selling both an open-weight model and a method for developing future models with AI doing more of the research work. Its speed and capability claims remain company-reported, making the model's actual performance and the practical contribution of AI to its development the key tests.
NaiveAI released Naive-N0.5-Flash on September 27th, an open-weight model for coding and AI research that the Beijing startup says was developed with AI systems handling substantial parts of the research and engineering work. The launch post on X describes a 309-billion-parameter mixture-of-experts model with 15.5 billion parameters active per token, a native 1-million-token context window and an inference runtime called NaiveRT.
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