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.
Understanding JEV as a Multi-Shot Decision Router
The post suggests viewing JEV as a multi-shot router that puts decision-making directly in your pocket, likening it to flowing thoughts rather than luggage.
Basically, I reckon it's a good idea to think of JEV as this kind of multi-shot router that drops decision-making right into your pocket... that's the image to run with. Instead of flowing luggage like this, it's more like flowing thoughts, y'know.
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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.
