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this post was submitted on 15 Jul 2023
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I feel like it is still too early to talk about "AI cannibalization" or "feedback loops" as that would mean that a big proportion of the training data is AI-generated content itself, against all the rest that could be scraped off the internet or the public domain, I don't think this is happening yet.
What people might experience instead, and perceive as dumbness, is that given that the datasets used to train AIs cannot really change that much in a short time (unless we wait for another hundred years so humans can produce actual human original content to train the AI again), and as the mathematical models used to build answers based on the datasets are pretty much the same, a person talking with ChatGPT will over time perceive more and more that the answers are built using a "pattern" or a "structure", aka the model derived from feeding the dataset into the AI training itself.
Just my pennies on this, let's also consider that is in human nature to be excited for something new that sounds cool, and then to get bored when you got accustomed to it and pushed it to its boundaries.
I think this article is just click bait for dead internet people.
Resources needed for inference on the original models openai released were unsustainable with the current amount of users. They had to "dumb" down models to be able to handle the load of requests. It's unfortunately normal. What I don't understand is why they do not provide "premium" packages for the best "old" models