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 Named After Economist Jevons: Making AI Decisions Cheap Enough
The post explains that Jev is named after economist Jevons and argues that when AI decisions become cheap enough, AI ends up inside everything.
Jev is after Jevons the economist who noticed that when coal got cheaper we used it more of it, not less. Make decisions cheap enough and AI ends up inside everything.
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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.
