AI Eye: AI content cannibalization problem, Threads a loss leader for AI data?

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AI Eye: AI content cannibalization problem, Threads a loss leader for AI data?
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AIs trained on AI generated content go 'MAD,' suspicions about Threads' real purpose, India's AI newsreaders and fundamentalist chatbots, plus more in this week's AI Eye.

ChatGPT hype is starting to wane, with Google searches for “ChatGPT” down 40% from its peak in April, while web traffic to OpenAI’s ChatGPT website has been down almost 10% in the past month.

One theory is that OpenAI has broken it up into multiple smaller models trained in specific areas that can act in tandem, but not quite at the same level.The web is now swamped withtext and images, and this synthetic data gets scraped up as data to train AIs, causing a negative feedback loop. The more AI data a model ingests, the worse the output gets for coherence and quality. It’s a bit like what happens when you make a photocopy of a photocopy, and the image gets progressively worse.

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