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 Founder Diogo Almeida on Automation and the RLHF Detour
A recommendation to watch Jev founder Diogo Almeida's speech, where he long predicted everything about Jev: it aimed at automation from the start, and he argues current LLMs took an epic detour via RLHF.
I strongly recommend everyone to watch this speech by Jev founder Diogo Almeida, where he has long predicted everything about Jev. Jev was aimed at automation from the very beginning. Diogo Almeida believes that current LLMs have taken a truly epic detour, which is RLHF. RLHF
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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.
