It’s a combination of learned obedience to authority and greed.

You just take a bunch of people who made all A’s in school by doing whatever they were told by authority figures, give them new authority figures who give them new “homework” (monetize suicidal ideation), and the money to buy a car they can post on Insta and you’ve got a BigTech workforce.

To be honest it’s pathetic to watch up close.

Your days are numbered, Zuck will get rid of you the second you’ve finished producing training data.

My theory has always been Trumps grand con was acting like what poor people thought a rich person was like, Elon acts like what morons think a genius is like.

There is no Plan B, they are just going to break the law until they can’t and there’s zero clue what happens after that.

They sat back and let OpenAI kick their ass precisely because ghouls like Prabakar call the shots and LLM are not a good display ads fit.

The best parallel for Google is Kodak.

There’s only one thing the agree on in DC: defense spending is the most important line item, and everything else is secondary.

Also, turns out when you have the ability to take virtually anything by force the concept of “deficits” is a bit fungible.

That’s why CHIPS was passed, the brass told Congress to get them some fancy new fabs, and like all requests the Pentagon makes, they got it.

Long term it doesn’t matter if these fabs are hugely profitable relative to other locales, we’ll find a way to keep them producing.

https://en.wikipedia.org/wiki/AOL_search_log_release

Either use one of the many open models that beat GPT-3.5 and you have a real, and better!, product.

I literally have no idea what the point of this is, or why not make the actual step of rolling out a real private LLM. It’s literally inferior to what Mixtral provides right now, under Apache license.

The discussion here is what you would get if bought DDG, and the answer is…very little.