How Generative AI is Gobbling Up the Internet

If 2023 was the year of fearing generative AI, 2024 will be the year for some of those worries to come true. Last summer, Ilia Shumailov, Zakhar Shumaylov, Yiren Zhao, Yarin Gal, Nicolas Papernot, and Ross Anderson wrote a paper hinting at AI models poisoning themselves in the (near) future. The warning was seen as farsighted and only theoretical, but evidence of the problematic technology has emerged. The problem called "model collapse", where AI chatbots lose the information they learn, is not in theory any more. Last month, a Twitter user posted a screenshot showing that Grok, the large language…