And the stock price bumps from layoffs mean they effectively get to just hand themselves huge raises.

No.

These graduates, and the incoming generation, won’t shape LLM’s and GenAI. Limpdick, loser fucking nerd billionaires will.

The kids will be left with scraps, by design, and that’s the problem.

Always love people who piss on a victory. Have a great day.

Cool.

Now maybe get this gung ho about purging the child rapists in your church, Leo.

Yup, Israel is obviously a terrorist regime, but maintaining the outward appearance of victimhood and ‘just defending themselves’ is imperative.

It’s always these old, limpdick, unimpressive pieces of refuse who really, really enjoy fucking with people who can’t fight back. Reminds me of the people here in the US who think they’re the master race, but obviously haven’t gone for a jog since grade school.

The only thing we can do: organizing locally. “We the people” don’t have any power outside our local jurisdictions and cities.

That’s good info. Thank you!

All of that falls apart in more ways than one for a lot of people once they can’t maintain a quality of life at all.

Nailed it.

You can’t gaslight people when they can’t put food on the table. The people who get elected this November in the US will largely argue against data centers and for affordability. (Though I’m skeptical that any of them, save Graham Platner, would actually vote for any meaningful change.)

Love it.

Kick management in the dick.

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Pretty stupid scam there, Bert.

IDK how many jobs AI is actually taking?

Honestly, I think the layoffs are just cover to shore up the stock price before quarter-end and keep the gravy train rolling. This is a cycle that isn’t repeatable permanently, because eventually you have to actually produce something other than a talking parrot that gets a lot of shit wrong.

Given the state of Texas’ infrastructure, probably fair to assume this doesn’t exist.

And I’m guessing water treatment doesn’t fix these, does it?

Greasy Gavin needs to tax his billionaire golf buddies.

Motherfucker.

AI does quality review too. Imperfectly, but the individual functions of AI acting within those systems have all improved dramatically in the past 12 months

I suppose that depends on how we define improvement, because from where I’m sitting, it’s reasonable to be apprehensive about LLM’s and their output when we see spectacular failure after spectacular failure.

Whether it’s bombing a school in Iran because Claude fucked up the targeting, or an AI agent deleting your email inbox or your production database, or creating a court case out of thin air, or stats in a SCOTUS ruling that are fictitious, over and over and over again the extravagant promises they keep telling us are just around the corner appear to be decidedly half-baked.

And if you use Teams or Windows and pieces of functionality that worked for two decades are no longer working as designed in a dependable way, I guess I just don’t know what to tell you.

It makes perfect sense not to trust this technology, and the speed it promises is often mitigated by the fact that you can’t and shouldn’t trust its output, because if you’re the unlucky SOB that doesn’t check a reference, you can literally become national news.

Further, being that it’s already been trained on the entirety of recorded human knowledge, I’m not sure how it gets better either. You can make it faster, but it’s just going to spit out slop at a faster rate.

Probably won’t even be able to manage that in a month when gas is $5 nationwide.

that the technology is more or less sticking the landing

Only in competent hands, because everything it generates has to be validated manually. My office uses Copilot, and every competent worker involved in complex projects hates it and only uses it for trivial things, like generating an email response, which you then have to read anyway so you might as well type it yourself in the first place. No one uses it for anything meaningful.

Human validation is propping up the perception of LLM’s.

One cannot trust this technology to do anything overly consequential or precise. It’s like how Theranos’ Edison system could perform maybe four types of blood tests correctly, but the extravagant promises, lies, and outright fraud about the product were contrary to Elizabeth Holmes’ grandiose claims.

We’re only a few years away from similar documentaries about Sam Altman, and if you read the recent Ronan Farrow article about him, maybe not even years.