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Ladies and gentlemen, there's a commonplace idiom that I gain popularity I guess during the ascent of marijuana as a stimulant

and toxicant of whatever and it Well it applies not only to people apparently it applies to machines we learn this week

Researchers have found that the buildup of-generated content on the internet is set to collapse machine learning models

unless the industry can mitigate the risks.

The University of Oxford team found that using AI generated data sets to train future models

may generate gibberish.

That's not a known language yet.

A concept is known as model collapse.

You've seen that in Paris.

No, you haven't.

In one example, a model started with a text about European architecture in the Middle Ages

and ended up nine generations down spouting nonsense about jackrabbits.

It was high on its own supply.

In a paper published this week in nature, work led by

couple of researchers found that an AI may fail to pick up less common lines of text. In training data sets, which means

subsequent models trained on the output cannot carry forward those nuances.

training new models on the output of earlier models in this way

ends up in a recursive loop. Reason this may be happening, of course, is because starting with the New York Times, a lot of publishers and websites have said in varying degrees of severity,

don't scrape our stuff for your stuff,

don't scrape our text for your

...