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gpt-6VIDEO

jev + Opus 5.5 + GPT-6 Astra 的长任务 agent 栈

宣称这套组合把 token 消耗降 43.8%、延迟压到 0.93 秒,Astra 负责每百万 token 0.1 美元的高速分流。

marfin
@marfinxx29 天前收录原推发布于 2026.09.28
marfin @marfinxx原推发布于 2026.09.28
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jev + opus 5.5 + gpt-6 astra... hard to comprehend why teams still build long-horizon agents without this stack in production, this cuts token burn by 43.8% and drops latency to 0.93s → pre-filter project notes before paying for context → route fast execution to gpt-6 astra at $0.10/M tokens → purge stale records upon code mutation with 98.6% freshness → halt retrieval with adaptive stopping when evidence hits s_d ≥ 0.85 opus 5.5 handles deep reasoning, astra covers high-speed triage, and jev makes every bounded decision before a single token is sampled read the paper and check out the full working note below

这条是引用着另一条写的:x.com/marfinxx/status/2103801809428955509

x.com/marfinxx/status/2104546903488647179采集于 2026.09.29 10:15