If chatbots become popular, the ad space would go from search engine to product placement in chatbots replies.
But chatGPT would actually write useful texts, most of them more useful than the average blog post. Over a few years they might be just as good as the best human articles.
Normal people could write a draft version and have chatGPT reword it, that would control the contents of the article. But I expect spammers would just clone other articles, they don't have the time.
One thing AI could do is to scale up validation. Search every topic and note the answers - do they concur? do they disagree? what is the distribution. Maybe there is no answer?
This would be a reference for AI to stop hallucinating and making factoid mistakes. The model should know when it doesn't know, or when it is stepping on a landmine by forgetting to mention something.
In the end I think the internet is going to be full of spam, AI generated or not. And we will need to use more AI to extract the signal from the noise. This time it should be local AI under user control.
If web sites start being written by A.I. and ChatGPT starts getting trained on A.I. output, it's going to start spewing garbage results.
It's only useful if trained on human input, A.I. have no model of the world and no A.I. can function if trained by A.I. written texts.
There’s also a weird assumption that humans don’t write a bunch of garbage as is.
As to point 2 , the argument is that, like with google search results the dataset will be corrupted and get worse, not that it won't contain some human written prose, so that's irrelevant when you say humans will still write things.
Claim 3 seems to be an argument that we can solve the problem of machine learning being based on bad bots by throwing more bots at it, which seems to be a very Rube Goldberg proposal which I'm not sure will work.
Finally is the claim many humans are dumb, so the more chat bots that impersonate humans, the better I guess?
Yes, you can solve dataset problems with models. Look at ConstitutionalAI from Anthropic. They only write a set of rules (the so called constitution) and the AI will derive a large dataset of demonstrations all by itself. This can do away with the RLHF stage where OpenAI has the best results so far, but costs money to label and is harder to update.
The model "Claude" from Anthropic is being discussed recently on Twitter
Google is overall a pretty bad benchmark IMO. There's a lot of quality content that they seem to struggle to find. Not that it doesn't exist, you just won't find it for a host of complex reasons.
With Google you are the product