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: an AI model that skips chat and returns decisions as probabilities
Introduces the Jev model: it skips text generation and outputs decisions as probabilities, reportedly 193x faster and 444x cheaper than an LLM call, with no hallucination.
the most interesting ai launch this month isn't a chatbot. it's a model that can't chat at all. jev (from an ex-openai researcher) skips text entirely and just returns decisions as probabilities. 193x faster, 444x cheaper than an llm call, and it can't hallucinate because you
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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.
