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.
Building unawair v3 rule engine after trying Jev
The author shares insights from trying Jev, turning them into a rule-based unawair v3 engine with improved outside-temperature response; after explaining in natural language to AI and simplifying rules, it ended up as plain rule-based code.
Jevを試すなかでいろいろ気づいた点をルールベースに落とし込んだunawair v3エンジン、外気温への応答がかなり改善してる。 AIにわかるように自然言語でいろいろ説明して、ルールも簡略化していった結果、普通にルールベースで書けてしまうというオチ。
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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.
