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《麻省理工科技评论》 第129卷 第1期 · 2026年1月刊 · 中文解读

算法:炒作先行,思考在后

The Algorithm
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这篇讲什么
本文探讨了人工智能领域过度炒作的现象,以GPT-5解决埃尔德什问题为例,指出其实际是检索已有解决方案而非新发现,并讨论了社交媒体上夸大宣传的问题。
原文开头
23 is also amazing. The hype overshadowed something that should have been considered pretty cool in itself. Hype first, think later By Will Douglas Heaven Mathematicians are very interested in using LLMs to trawl through vast numbers of existing results, François Charton, a research scientist who studies the application of LLMs to mathematics at the AI startup Axiom Math, told me when I talked to him about this Erdős gotcha. But literature search is dull compared with genu- ine discovery, especially to AI’s fervent boosters on social media. Bubeck’s blunder isn’t the only example. In August, a pair of mathematicians showed that no LLM at the time was able to solve a math puzzle known as Yu Tsumura’s 554th Problem. …
摘自《麻省理工科技评论》(MIT Technology Review)第129卷 第1期 · 2026年1月刊。仅引用开头一小段供了解文章,版权归原刊所有,全文请阅读原刊。
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