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.
TypeSafe Launches Jev: An AI Model That Doesn't Write, It Decides
TypeSafe has launched Jev, a model whose core function is to receive a system state and return a decision rather than generate text, representing an alternative direction for AI applications.
Puede que estemos mirando la parte equivocada de la IA. Mientras competimos por conseguir modelos que escriban mejor, TypeSafe acaba de lanzar uno que directamente no escribe. Se llama Jev. Su trabajo es otro: recibir el estado de un sistema y devolver una decisión
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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.
