Jev founder Diogo Almeida explains the LLM decision paradigm
In a 37-minute talk, Jev founder Diogo Almeida argues that LLMs should map state directly to decisions with probabilities instead of running human-in-the-loop agent loops.
Jev Founder, Diogo Almeida (ex-OpenAI): "The next era is not the Claude Code or Codex era, they are still part of the assistance era with human in the loop - JEV is what comes next for LLMs x200 faster, x400 cheaper, 0 hallucination, no human in the loop - that's JEV, this is how LLMs will look like" in 37-minute tech talk, Jev Founder explained why RLHF isn't a thing anymore and how modern LLMs will be built Prompts → Agents → Loops → Graphs → Jev an LLM maps state to text, so every fork waits for a sentence and a human to read it jev maps state to a decision with a probability on every option, straight into your code this talk is worth more than a Stanford Machine Learning degree watch today no matter what, then learn how to become a Jev Engineer in the article below ↓
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