English(EN) «It seems to me to be extremely unlikely that machimes could ever reach the level of humans on translation, reading comprehension and the like by learning exclu

AI怀疑论者质疑机器的理解能力和现实世界认知

作者 PulseAugur 编辑部 · [1 个来源] · 2026-11-15 16:57

一位AI研究员对机器在翻译和阅读理解等领域达到人类水平的能力表示怀疑，特别是当它们仅通过在线数据进行训练而缺乏真正理解时。该研究员强调了科学研究中持续存在的挑战，例如图像分割和数据解释，而当前的AI系统，包括LLMs，由于缺乏现实世界认知而无法有效解决这些问题。这一观点与Melanie Mitchell等专家早前对AI模型真正理解能力的怀疑论调一致。 AI

影响质疑AI发展的当前轨迹及其实现真正理解的能力，影响了对AI在复杂领域应用的期望。

排序理由该条目是一篇研究员发表的观点文章，表达了对AI能力的怀疑，符合‘评论’类别。

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Signal score: 5 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Commentary; 该条目是一篇研究员发表的观点文章，表达了对AI能力的怀疑，符合‘评论’类别。
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。

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Mastodon — mastodon.social TIER_1 English(EN) · [email protected] · 2026-11-15 16:57

在我看来，机器通过学习在翻译、阅读理解等方面达到人类水平的可能性极小

«It seems to me to be extremely unlikely that machimes could ever reach the level of humans on translation, reading comprehension and the like by learning exclusively from online data, with essentially no real understanding of the language they process. Language relies on common-…

本文如何被排名

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在我看来，机器通过学习在翻译、阅读理解等方面达到人类水平的可能性极小

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