Jev founder interview: how its decision model fits inside autonomous agents
The ex-OpenAI researcher and Jev founder discusses why current LLMs are still built around humans, what RLHF actually optimized for, and how Jev fits into autonomous agents faster and cheaper.
Jev Founder (ex-OpenAI): x200 faster, x400 cheaper and no human constantly sitting in the loop Diogo Almeida believes models like JEV are what comes after the current generation of AI assistants · 04:10 why current LLMs are still built around humans · 10:35 what RLHF actually optimized models for · 17:50 why software needs decisions, not more text · 25:20 how JEV fits inside autonomous agents · 32:10 what the next generation of LLMs could look like This is not really another “better chatbot” story. The idea is to move intelligence deeper inside software, where thousands of small decisions can happen without constantly returning to a human. One of the most interesting JEV talks to watch right now. Watch the 36 minutes, then read the full Jev Engineer breakdown below ↓
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