finding the [human created] data to support the project is uncharted territory, he added.

Fortunately for the executives at hyperscaler corporations, they know this isn’t their problem.

They plan to cash out well before the model collapse is revealed, and leave less-wealthy suckers holding the bag.

It’s like killing the goose that lays the golden eggs.

Goose was not valued

I have no idea why they would do this

I do. For the same reason they are cramming LLMs into every other product:

They need to pretend to their investors that there is an enormous market hungry for more of this, so the investors will not demand their money back.

By turning more users of existing services, into “users of Gemini”; by turning more translate requests, more email messages, more search requests, into a “Gemini usage”; they can with a straight face claim more and ever more usage and demand, propped up by users who never agreed to any of this.

From TFA:

So what do we search with instead of Google? There isn’t a lot of choice. There’s various flavours of Google or Bing.

[…] Kagi resells Google’s actual link results for a monthly subscription. Kagi is really an AI company that sells search as a sideline, and they’ve got a terrible AI slop news service too. But the search has a good reputation for now.

So many of the criticisms here survive essentially unchanged, fifty years later:

If he calls the main loop of his program “UNDERSTAND”, he is (until proven innocent) merely begging the question. He may mislead a lot of people, most prominently himself, and enrage a lot of others.[…] If Quillian <1969> had called his program the “Teachable Language Node Net Intersection Finder”, he would have saved us some reading. (Except for those of us fanatic about finding the part on teachability.)