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AI内容农场污染大模型检索反馈循环

Just a random thought, maybe someone can do a startup to solve this:

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Just a random thought, maybe someone can do a startup to solve this:

Interesting trend I’m seeing is human-recognized content farm spam sites like “Ad Hoc News”.

Flooding tens of old/repeated misleading AI news every day on specific companies for views.

But it’s treated highly + fresh to AI retrieval. So LLMs like Gemini get polluted citing that data.

Then you have people without technical backgrounds like college students making writeups on things they don’t understand, using AI.

Then LLMs get polluted in training/retrieval with that too, so you see people conflating the wrong technical nuance like comparing single channels of a cw dfb laser array vs. single high power lasers outputs.

So you have a feedback loop of low tier AI feeding into frontier AI. With model retrieval getting contaminated.

更进一步:量化金融体系

看懂新闻只是起点——沿量化金融路径,把它变成能交付的工程能力

进入量化体系 →

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