English(EN) Re: https://infosec.exchange/users/lcamtuf/statuses/116901998490591428 I don't find it surprising that people send LLM-generated docs, publish LLM-generated blo

科学家警告AI驱动的研究“结果导向”会贬低“过程”

作者 PulseAugur 编辑部 · [1 个来源] · 2026-07-11 16:03

一位名叫Anthony的有机计算机科学家和自称的卢德分子认为，过分强调科学研究的结果，如产生知识或获得资助，可能导致将过程——如写作和研究本身——视为仅仅是苦差事。他担心这种观点，在AI的助推下，可能会助长一种循环，即AI生成研究和文档，然后这些内容又被输入AI系统，可能导致与实际的科学过程及其内在价值脱节。 AI

影响引发了对AI可能通过只关注产出而非发现过程来贬低研究过程的担忧。

排序理由个人观点文章，表达了对AI影响科学研究方法的担忧。

在 Mastodon — fosstodon.org 阅读 →

Anthony

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

本文如何被排名

Signal score: 0 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Commentary; 个人观点文章，表达了对AI影响科学研究方法的担忧。
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: Standard; On-topic for AI-industry coverage; kept in the public index.
Story freshness: 89 days old; Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

完整方法见我们的编辑标准。

报道来源 [1]

Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] · 2026-07-11 16:03

Re: https://infosec.exchange/users/lcamtuf/statuses/116901998490591428 我不惊讶人们会发送LLM生成的文档，发布LLM生成的垃圾信息

Re: https://infosec.exchange/users/lcamtuf/statuses/116901998490591428 I don't find it surprising that people send LLM-generated docs, publish LLM-generated blog posts, etc. Writing is a chore and there's this big button labeled "get it done". Writing can be many things, but a ch…

本文如何被排名

报道来源 [1]

Re: https://infosec.exchange/users/lcamtuf/statuses/116901998490591428 我不惊讶人们会发送LLM生成的文档，发布LLM生成的垃圾信息

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