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jevPOST

Jev 一周实测合集:agent harness、HFT bot、GTM 自动化

Memetic Machines 用 Jev 做决策引擎筛选内容与预测市场,并汇总了 4 篇真实用法:agent harness、24/7 高频交易 bot、GTM 自动化、200 倍加速的 agent 大脑。

Rami
@rami_decodes2026.09.25收录原推发布于 2026.09.24
Rami @rami_decodes原推发布于 2026.09.24
在 X 上打开原推

Jev took the world by surprise. It's a model trained with reinforcement learning for calibrated decisions (by @typesafeai). It's not your regular LLM that spits out the next token one word fragment at a time. It only replies with JSON containing confidence-weighted answers. (Useless, you may be thinking...) Yet this is exactly the decision gating bigger models need to be more accurate and effective, at a fraction of the cost. So cheap the output is practically free. So fast it can play Super Mario Bros in real time. At @memeticmachines we're using it to power our decision engines, creating higher-quality prediction markets and helping our ingestion pipelines sort content more accurately into our ontology of reality. Best reads from last week to see what this beauty can do: 1_ Building an agent harness with Jev, by @sydneyrunkle https://x.com/sydneyrunkle/status/21007543645457616432/ 2_ A 24/7 HFT trading bot with sub-100ms decisions, by @RohOnChain https://x.com/RohOnChain/status/21013118139086520693/ 3_ Jev for GTM automation, step by step, by @jasonzhou1993 https://x.com/jasonzhou1993/status/21019252283353172384/ 4_ 10 steps to a 200x faster agent brain, by @0xCarnagee https://x.com/0xCarnagee/status/2101019382009004249

这条是引用着另一条写的:x.com/0xcarnagee/status/2101019382009004249

x.com/rami_decodes/status/2102951660670923005采集于 2026.09.25 10:09