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English(EN) Interesting article: what is currently known as "reasoning" in LLMs really isn't. The author suggests to introduce a new form of reasoning inspired by how Alpha

LLM 推理受质疑,提出受 AlphaGo 启发的全新方法

一篇近期论文提出,目前对大型语言模型(LLM)“推理”的理解存在根本性缺陷。作者建议采用一种新的推理范式,该范式借鉴了 AlphaGo 项目(作者曾参与其中)所使用的方法。尽管承认 LLM 在编码和数学等领域因类似方法而有所改进,但该论文质疑这种方法如何能推广到更广泛的领域。 AI

影响 挑战了当前 LLM 的能力,表明需要超越现有方法的新推理框架。

排序理由 观点文章,质疑 LLM 推理的本质并提出一种受 AlphaGo 启发的替代方案。

在 Mastodon — sigmoid.social 阅读 →

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LLM 推理受质疑,提出受 AlphaGo 启发的全新方法

本文如何被排名

Signal score
3 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Commentary
观点文章,质疑 LLM 推理的本质并提出一种受 AlphaGo 启发的替代方案。
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
opinion, other
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准。

报道来源 [1]

  1. Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] ·

    有趣的论文:目前被称为大型语言模型“推理”的实际上并非如此。作者建议引入一种受 Alpha 启发的新型推理方式

    Interesting article: what is currently known as "reasoning" in LLMs really isn't. The author suggests to introduce a new form of reasoning inspired by how AlphaGo did it (on which the author worked on). I think that the last two or three years that has been already happening, alt…