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UCSD Hao AI Lab更新于 10月25日 21:47

Hao AI Lab 测试智能体集群破案能力

Happy Friday! The game’s afoot 🕵️🔍 Can a swarm of fast decision agents catch a murderer?

AI 导读

Hao AI Lab 在 200 个维多利亚时代伦敦案件上对比三种侦探配置:Jev 集群单独行动、GPT6-Astra 单独行动,以及 GPT6-Astra 领导 Jev 集群。结论是集群能覆盖线索,但需要推理型领导者来发现矛盾并深入追查;在 100 个较难案件中,付费证人多于诚实证人时,GPT6-Astra 加 Jev 集群解决 93 个,GPT6-Astra 单独 59 个,Jev 集群单独 42 个,规则型领导者加 Jev 集群仅 0–1 个。

正文

Happy Friday! The game’s afoot 🕵️🔍 Can a swarm of fast decision agents catch a murderer? We sent three detectives into late-Victorian London to investigate 200 cases: (1) a Jev swarm on its own, (2) GPT6-Astra on its own, and (3) GPT6-Astra leading a Jev swarm.

Takeaway: the swarm covers the clues, but it takes a reasoning leader to spot contradictions and dig deeper. More in this thread 🧵 and the blog 👇 https://t.co/ojEjtvO2cP

来源

UCSD Hao AI Lab