I remember reading a few days ago that OpenAI basically ordered 3 times as much RAM as they could use this year. There are also data centers fully equipped but not turned on as the local power grid could not handle the added demand.

I see “eat the rich” as “use them as fertilizer”.

Well at this point you can escalate, since they escalated first after being kicked out. But you don’t start by arresting.

Probably why they talked about looking at a stack trace, you’ll see immediately that you made a typo in a variable’s name or language keyword when compiling or executing.

Even when we go per capita the US stays a shithole, it’s not like they were trying to actively misinform people.

I’d say that it’s simply because most people on the internet (the dataset the LLMs are trained on) say a lot of things with absolute confidence, no matter if they actually know what they are talking about or not. So AIs will talk confidently because most people do so. It could also be something about how they are configured.

Again, they don’t know if they know the answer, they just say what’s the most statistically probable thing to say given your message and their prompt.

You’re giving way too much credit to LLMs. AIs don’t “know” things, like “humans lie”. They are basically like a very complex autocomplete backed by a huge amount of computing power. They cannot “lie” because they do not even understand what it is they are writing.