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 praised as top System 1 decision model, but not locally open-source
The post calls Jev one of the best current System 1 decision models but points out its fatal flaw: it is not locally open-source, contrasting it with Laya, a 300M-parameter Apache-2.0 model that runs locally.
Jev is one of the best current System 1 decision-making models, and that's undeniable. But it has a fatal flaw: it's not locally open-source. Laya has only 300 million parameters, Apache-2.0 open-source, can run directly on a local machine, with single judgments taking about
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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.
