@omarsar0: Recommended read. Jev gives up text generation to make AI dramatically faster. TypeSafe built a new architecture that a…
Summary
Jev is a new AI model that omits text generation to achieve 20-200x faster responses for structured questions, utilizing TypeSafe's parallel architecture and RLCD training.
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Cached at: 09/16/26, 01:59 PM
Recommended read. Jev gives up text generation to make AI dramatically faster.
TypeSafe built a new architecture that answers structured questions in parallel, with RLCD training its probabilities to reflect how often it’s right.
The team reports 40–200x faster responses on System One queries.
Diogo Almeida (@CompleteSkeptic): After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI?
I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev
• 20-200x faster • 40-400x
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@sydneyrunkle: https://x.com/sydneyrunkle/status/2100754364545761643
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@CompleteSkeptic: After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2…
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@Khazix0918: https://x.com/Khazix0918/status/2100850184129220829
Jev is a new AI model from TypeSafe AI, designed for high-speed decision-making. As a general-purpose classifier, it offers extremely fast response speeds and low cost, making it ideal for real-time tasks like content filtering, gaming, and trading.