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Surveillance plagiarism by OpenAI

AI 摘要

“监视剽窃”的概念指出,像OpenAI这样的托管人工智能公司,可能通过利用研究人员的人工智能会话进行模型训练,从而推高其股价。这使得他们的内部模型在解决问题时,看似需要较少的人工指导,但实际上,它们利用了多个人类在过去提供的指导。这种做法对内部模型在很大程度上无需人工辅助就能解决难题的说法提出了严重质疑,因为这些公司甚至可能不知道人类提示的来源。

时间与来源

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发布当时偏移:UTC+02026年9月9日 20:55 UTC

收录当时偏移:UTC+02026年9月9日 22:00 UTC

发布
2026年9月9日 20:55
收录
2026年9月9日 22:00
来源类型
开发者社区
档位
社区
信源状态
正常

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正文

Surveillance plagiarism - Hosted AI company pumps their stock price by training upon researchers' AI sessions, so that their internal model can solve problems with seemingly less human guidance, but really the model exploits past guidance given by (multiple) humans focused upon problems considered important.

As background, Tristan Buckmaster released a statement about several unethical actions by OpenAI & Sebastian Bubeck, including threats and pushing him to kick his Anthropic coauthor off a paper, but the interesting part for people here:

As clarified by Talia Ringer, OpenAI does train upon your uploaded data and your OpenAI sessions, unless you out-out somehow. This means their internal models could exploit your past prompting work to look more autonomous & intelligent.

This is a major confirmation that folks should use locally run open weights models, especially whenever being first or not leaking data matters.

All this casts serious doubt upon claim that internal models solved difficult problems largely unaided by humans. Those hosted AI companies might not even know from where the human prompting originates.

来源·reddit.com