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 vs LLM: System 2 and the Rapid Rise of Derived Models
The post contrasts LLM with Jev: LLM is System 2, generating text token-by-token, slow, expensive, and prone to hallucination; it also notes Kev, Laya, and Laya-MLX emerging within a week.
Wow. Give us a break 😮💨 LLM -> Jev -> then in <1 week we have Kev, Laya AND Laya-MLX Stop, can't keep up. But here's the quick difference: LLM = The Writer System 2. Generates text token-by-token. Slow, expensive, hallucinates. Does the thinking.
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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.
