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English(EN) @ CStamp Might I add an observation? This is not merely a "predictable event". This is the very purpose for what LLMs were created. They don't "steal IP and oth

观察者称LLM旨在抓取数据,而非窃取知识产权

一项观察表明,大型语言模型(LLM)的核心功能是抓取数据,而不是窃取知识产权。这种观点认为,LLM的设计初衷就是如此,其当前运作符合预期,这意味着它们对所处理的数据不承担责任。 AI

影响 这一观点将LLM的发展框架定性为基于数据抓取,影响了关于AI伦理和数据使用的讨论。

排序理由 该条目是社交媒体用户关于LLM的性质和目的的观点文章。

在 Mastodon — sigmoid.social 阅读 →

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

观察者称LLM旨在抓取数据,而非窃取知识产权

本文如何被排名

Signal score
2 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
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Commentary
该条目是社交媒体用户关于LLM的性质和目的的观点文章。
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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.
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opinion
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High
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Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

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报道来源 [1]

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

    CStamp 先生,我能否补充一句?这并非仅仅是“可预见的事件”。这正是创建 LLM 的初衷。它们不会“窃取知识产权和其他

    @ CStamp Might I add an observation? This is not merely a "predictable event". This is the very purpose for what LLMs were created. They don't "steal IP and other people's work, to allow access to their value, for sole benefit of billionaire techbros", they... "SCRAPE". Give it a…