Very easy
@Some_Emo_Chick My initial reaction to them was something along the lines of "Ok, sure, so, what's the point?" And, as it turned out, the point was money laundering, tax evasion, and scamming people. I don't think making climate change worse was entirely intentional, people making them just didn't give a shit.

@StarkRG @Some_Emo_Chick my guess is the last thing people who launder money, evade taxes and scam other people care about is the climate.

But glad that grift is over, can't wait to see what the next obvious one is

@erikcats @StarkRG @Some_Emo_Chick the next obvious one is "AI" (put in quotes because it's not intelligent, it's just a marketing scam)

@Aradiel @erikcats @Some_Emo_Chick LLMs are a solution looking for a problem. You can usually tell by the way it's marketed as being useful for anything and everything while not actually being better than anything that already exists.

Other types of generative AI aren't as bad, though that isn't saying much since LLMs are the literal worst. There are, at least, a handful of cases where they have advantages over existing solutions, but they still need a lot of handholding.

@StarkRG @Aradiel @Some_Emo_Chick explain to someone who's not a techie what LLMs are, without resorting to LMGTFY or similar things
@erikcats @StarkRG @Some_Emo_Chick ok.
LLMs are computer programs that have stored reams of (often stolen) text. When you supply it with a question or prompt, it runs calculations to return a sentence that that mathematically is possibly what you want

@Aradiel @erikcats @Some_Emo_Chick An example is ChatGPT.

To expand on that, it stands for large language model. It creates an internal model of a language using the aforementioned stolen text and uses it to predict what word comes next. It's basically autocorrect with extra hallucinations.

@erikcats @StarkRG @Some_Emo_Chick @Aradiel
Thank you. I’m a non-tech-savvy pensioner, & I didn’t know it either.