Architecture switch: Jev abandoned the token-by-token
Explained that Jev drops token-by-token generation for a single parallel forward pass that outputs action probabilities, making output cost zero and speed two orders of magnitude higher.
The original post, translated
Architecture switch: Jev abandoned the token-by-token generation mechanism and adopted parallel single forward pass, directly outputting action probabilities and decision results. Extremely low cost: because expensive iterative Output Token generation is no longer needed, output cost drops directly to 0, and speed increases by two orders of magnitude. Economic implementation: it is not used to chat with people by typing, but as an efficient "AI
Show the original post in its source language ▾
结构切换：Jev 放弃了逐字生成的机制，采用并行单次前向传播，直接输出动作概率和决策结果。 极低成本：因为不再需要高昂的 Output Token 迭代生成，输出成本直接降为 0，速度提升了两个数量级。 经济落地：它不是用来陪人打字聊天，而是作为高效的“AI
The post above is a machine translation from zh; the untranslated text is in the fold-out.
Engagement when collected
Numbers are a snapshot taken from X when the case was added to the library (schema v1, collected 2026-09-19); they will not match today.
Where this case fits
Filed under general Jev builds. In the pattern Jev is built for, the model answers a bounded question per step — and ordinary code acts on the answer, because the answer is already a value rather than a paragraph. Browse the full case library for the work it sits next to.
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Last updated: 2026-09-22 · sources & corrections · every card links to its author's original post