TypeSafe AI has released a new Transformer model called Jev, attempting to bypass the text generation paradigm of large language models (LLMs), offering probabilistic outputs and "calibrated decision" services for software automation. Diogo Almeida, a former researcher at OpenAI and participant in RLHF technology, founded TypeSafe AI two years ago after leaving OpenAI. He believes that optimizing models around human language is not suitable for computer automation scenarios.

Jev does not generate text but instead outputs probabilities, thus avoiding the hallucination and redundant generation costs of traditional LLMs. Its output tokens are free, while input is billed by the billion tokens. Developer tests show that Vercel improved speed 5 to 18 times and achieved higher accuracy by replacing OpenAI models with Jev for command security classification; in Bryo AI's test, Jev's accuracy was slightly lower than Gemini, but the cost was 10 to 20 times lower.
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