Event ·Multi-source

Ethan Mollick 测试 Claude Fable 与 GPT-6 Astra 对复杂理论问题的预测能力

Ethan Mollick 让 Claude Fable 和 GPT-6 Astra 在不查询资料的情况下预测 Exponential Time Hypothesis 何时能被解决。他仅展示了部分回答，指出这个实验同时说明了对 AI 发展做预测有多难，连 AI 自己也难以预测 AI 的进展。

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Mollick 让 Claude Fable 和 GPT-6 Astra 凭感觉预测一个计算复杂性难题何时能解决，连 AI 自己都答不准，挺有意思。

11 sources31° AI heatLast updated 2026/10/27 13:01:04

Evidence

11 sources

Primary sourceEthan Mollick

2026/10/27 13:01:04View source

Related source 1Bindu Reddy

2026/10/25 21:08:52View source

Related source 2TestingCatalog

2026/10/26 18:23:18View source

Related source 3The Rundown AI

2026/10/26 18:32:26View source

Related source 4kimmonismus

2026/10/26 19:00:00View source

Related source 5IT之家

2026/10/26 23:26:19View source

Related source 6Shubham Saboo

2026/10/27 03:01:36View source

Related source 7arXiv: DeepSeek

2026/10/26 05:58:10View source

Related source 8AIGCLINK

2026/10/26 23:38:03View source

Related source 9Simon Willison’s Weblog

2026/10/26 23:53:07View source

Related source 10marktechpost

2026/10/27 02:45:27View source

Conflict check

Dedup data only shows that these sources discuss the same event, not that they agree. There is no structured supporting or refuting evidence yet, so no conflict is inferred automatically.

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