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English(EN) Using Evil Spirits To Cast Out Evil Spirits!

作者尽管怀疑LLM的智能,仍将其用于研究

作者虽然认为Claude和Gemini等大型语言模型并非真正的智能,而只是复杂的统计工具,但仍每天将其用于研究。作者承认这种立场的讽刺之处,并解释说,由于缺乏资金和机构支持,这些模型对其工作至关重要,能够使其研究更快地取得进展。作者认为,关于LLM的叙述常常夸大其能力,并忽视了它们在权力动态和独立思维侵蚀中的作用,但作者将其作为克服这些限制的必要工具。 AI

影响 强调了独立研究人员尽管存在局限性,但仍需要LLM的实际应用。

排序理由 作者的个人观点和对LLM的使用,并非新发布或行业事件。

在 dev.to — LLM tag 阅读 →

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

作者尽管怀疑LLM的智能,仍将其用于研究

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
作者的个人观点和对LLM的使用,并非新发布或行业事件。
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
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. dev.to — LLM tag TIER_1 English(EN) · Mahmoud 🦀 ·

    Using Evil Spirits To Cast Out Evil Spirits!

    <p>Hey everyone 👋,</p> <p>This post is something I have been sitting on for a while, and I am finally writing it because the contradiction at the center of everything I do has become too loud to ignore. I have spent months arguing that large language models are not intelligence, …