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two days ago a former OpenAI researcher (worked on ChatGPT's RLHF) released jev. it's a model that can't talk back. here's the problem it solves:

every time you ask ChatGPT to categorize something or make a decision, you get back a paragraph. then you have to read it, interpret it, and hope it's in a format you can actually use. jev doesn't write paragraphs. it just answers questions with structured data.

you give it a customer support ticket and ask: is this urgent? what category? what's the sentiment? it returns: urgent (87% confident), billing issue, frustrated. there's no explanation. no longwinding essay. just decisions your systems can act on immediately. the difference:

LLMs write and explain. jev decides and scores. use ChatGPT to draft your email. use jev to route 10,000 tickets while you sleep. their numbers: 194x faster, 445x cheaper than LLM baselines on classification workflows.