AI models that scrape internet content for training data create a self-reinforcing cycle where AI-generated content becomes part of the training data for future models, leading to a degradation of quality and increased hallucinations in AI responses.
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AI Talking to AI: The Ouroboros of Crap #shorts追加:
I'm tired of talking to AI.
This actually got a lot of comments on Hacker News. I found GitHub repositories that were spreading malware.
I asked AI what to do about it. It gave me nothing useful. So, I opened a discussion on GitHub. Someone replied.
It was the exact same text my AI had given me. I called it out. The comment was deleted. Then another person replied. It was the same AI answer again.
I worked as a developer at a company.
Asked a business owner a question about a business tax. He sent me a chat GPD screenshot with the answer. I replied, "That had nothing to do with my question and everything there was wrong." A minute later, he sent me another chat GPD screenshot. He didn't even read the AI's answer. He just took a screenshot and forwarded it to me.
Recently, someone messaged me on Reddit about my post. I replied. They wrote again. I replied again. After a few messages, I realized, "I'm talking to an AI agent."
>> See, this isn't just annoying. This is something that we covered 2 3 years ago, Leo, when OpenAI first released their first really good version of Chat GPT.
Which is if they're if these models are scraping the internet, especially things like Reddit, um for the data that they put into their training, and they're also contributing to the data that other models will be scraping.
It's now become an ouroboros of crap.
It's it's just [laughter] AI ingesting AI.
And we all know that that's not going to lead to the results that you want.
You're you're you're building in hallucinations into your basic training model and data set. That's horrible.
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