Kind of splitting hairs, but a company that can let go of “scores” of employees and still exist is not a small business.

Yes, you’re anthropomorphizing far too much. An LLM can’t understand, or recall (in the common sense of the word, i.e. have a memory), and is not aware.

Those are all things that intelligent, thinking things do. LLMs are none of that. They are a giant black box of math that predicts text. It doesn’t even understand what a word is, orthe meaning of anything it vomits out. All it knows is what is the statistically most likely text to come next, with a little randomization to add “creativity”.

You’re completely right, if the goal is good customer support and decent working conditions for the operators.

It’s not. The goal is like 1rre said - make people get fed up and stop trying to get their stuff fixed, just buy a new one. Oh, and they could fire half the operators too, since less people would be willing to wade through the pile of shit to talk to them.

Money and profit, screw the rest.

And an excuse to fire half of the support staff.

I didn’t test other values but they’re probably OK.

Excellent work, thanks for the laugh.

This article and discussion is specifically about massively upscaling LLMs. Go follow the links and read OpenAI’s CEO literally proposing data centers which require multiple, dedicated grid-scale nuclear reactors.

I’m not sure what your definition of optimization and efficiency is, but that sure as heck does not fit mine.

Don’t look for statistical precision in analogies. That’s why it’s called an analogy, not a calculation.

No, this is the equivalent of writing off calculators if they required as much power as a city block. There are some applications for LLMs, but if they cost this much power, they’re doing far more harm than good.

https://arstechnica.com/health/2023/11/ai-with-90-error-rate-forces-elderly-out-of-rehab-nursing-homes-suit-claims/

Libre Office

I don’t disagree that the people with money who are funding this kind of development don’t care about regulations or safety.

That said, the idea that they’ll do it out on the open sea or in space are absolutely laughable. Those ideas pitched so far completely ignore all the obvious engineering problems. Not to mention that going to international waters to avoid regulations means that the navy of that country you’re thumbing your nose at now has free reign on you.

In other words, AGI is what every layperson thinks of when people talk about AI. It’s (sort of) what you see in the movies.

LLMs, and every other AI technology we currently have, do not actually have any form of intelligence. They’re called AI because the sub-field of computer science that they arose from is called AI, and has been for decades.

Real talk: none of us do

Same. As it should be.

That analogy relies on the reader having any idea what wire EDM manufacturing is. ;) Not exactly an everyday topic.

Iron would be a terrible metal for coinage, since it would shed rust all over everything after being handled. Some coins might be cast from iron (if it’s cheaper than alternatives, idk) but plated in other metals to prevent that.

It’s more because of the temperature differential. The more difference between the temperature of two objects, the faster they change temperature. A radiator with 50 degree water is ~30 degrees warmer than the room (or 80+ degrees for a steam rad), while cold water is going to be 10-15 degrees cooler than the room. Any colder and you need to use not-water so it doesn’t freeze. Condensation or frost is also a big concern to avoid property damage.

I think OP is conflating the amount that a YT channel sees per ad vs the amount that YT would keep. These are not the same thing.

Plus, YT gets their share of every single ad seen every day. The economy of scale obviously is paying off.