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 and the System One Model: RLCD, Intelligence/$ and Reliable AI
Latent.Space podcast discusses Jev and the System One model, covering RLCD, intelligence/$, reliable AI, and the end of chat-first AI, with the TypeSafe AI CEO explaining why AI solves extraordinarily hard problems yet fails to automate basic work.
Jev and the System One Model: RLCD, intelligence/$, reliable AI, & the end of chat-first AI https://latent.space/p/jev @typesafeai CEO @CompleteSkeptic explains why AI can solve extraordinarily hard problems yet still fail to automate basic work, why Jev is built for reliable
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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.
