Jev versus text-generating models
Jev does not generate free-form text. A side-by-side video compares parallel decision-making with token-by-token text generation.
Jev: Type-Safe Probabilistic Decision AI for Machines
Jev is described as a new class of AI built for machines, not conversations: unstructured state in, type-safe probabilistic decisions out, no tokens generated, no hallucinations, with calibrated responses in 70–500 ms.
Ne discute pas. Décide. #Jev une nouvelle classe d’IA conçue pour les machines, pas pour les conversations. État non structuré dans, les décisions probabilistes de type-sécurité. Aucun jeton généré. Pas d'hallucinations. Juste des réponses calibrées en 70–500 ms.
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Pricing, evaluations, and the name Jev
The launch thread explains code-and-AI workflow evaluations, the input price announced at launch, and free output tokens.
Jev Model: Decision-Making Probability Generation, 200× Faster and 400× Cheaper Than LLMs
This model is built for decision-making rather than text generation, outputting probabilities for each option in parallel instead of token-by-token responses. The author shares a simplified comparison of normal LLMs versus this Jev model.
