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 That Writes Nothing and Only Makes Judgments
Introduces Jev's positioning: it generates no text, only selects from options, assigns scores, or returns Yes/No probabilities—fast, cheap, and directly usable by programs, essentially isolating the judgment part of an LLM.
Jev、文章を1文字も書かないAI。 選択肢から選ぶ・点数をつける・Yes/Noの確率を返すだけ。 速い・安い・プログラムがそのまま使える。 LLMの「判断」部分を切り出した感じが面白い。 #Jev #TypeSafe #AI #LLM #生成AI
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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.
