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 Benchmark: Keeping Private Data to Measure Real Skill
hev mind argues that keeping half the benchmark private ensures rankings reflect real skills rather than memorized answers, calling it the right call.
Keeping half the benchmark private so the ranking tracks real skill, not memorized answers, is the right call. https://hevmind.com/writing/jev-has-company/?v=2&utm_source=x&utm_campaign=jev-has-company…
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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.
