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's Non-Deterministic Behavior Raises Doubts About 'No-Hallucination' Claim
A user notes that JEV produces inconsistent probabilities for identical prompts and that choice order drastically alters outputs, questioning its 'no-hallucination' claim.
JEV actually doesn't even run deterministically Exact same prompts give you different probabilities when you run it multiple times The ORDER of the choices DRASTICALLY changes the output probs I am more and more confused by the their "no-hallucination" claim
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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.
