If my tool sucks, I will tell it so

So thanking your tools: dangerous on a humanity level scale

Telling your tool it sucks: Normal behaviour

I open my door, the warning goes off, and I say “thank you car.” It’s better for me mental well being than saying “oh fuck.”

And you FEEEEEEEEL like it doesn’t matter. What’s the difference?

I thank my car when it alerts me that I left the lights on or my keys in the ignition. I’m not anthropomorphizing my car, I’m practicing appreciation for the benefits my tools provide.

How’s it feel to live in the cyberpunk prequel?

He doesn’t think the rest of the world can stand without them or he doesn’t think that reciprocal tariffs will hurt America as bad as they hurt us.

That’s what happens when you OD on America Exceptionalism.

Trump calling this “Domestic Terrorism” and threatening Tariffs in response in 3… 2…

Did the LLMs tell you that? It’s not hard to look up on your own:

Data centers, in particular, are responsible for an estimated 2% of electricity use in the U.S., consuming up to 50 times more energy than an average commercial building, and that number is only trending up as increasingly popular large language models (LLMs) become connected to data centers and eat up huge amounts of data. Based on current datacenter investment trends,LLMs could emit the equivalent of five billion U.S. cross-country flights in one year.

https://cse.engin.umich.edu/stories/power-hungry-ai-researchers-evaluate-energy-consumption-across-models

Far more than straightforward search engines that have the exact same information and don’t make shit up half the time.

Because we have better methods that are easier, cheaper, and less damaging to the environment. They are solving nothing and wasting a fuckton of resources to do so.

It’s like telling cavemen they don’t need fire because you can mount an expedition to the nearest valcanoe to cook food without the need for fuel then bring it back to them.

The best case scenario is the LLM tells you information that is already available on the internet, but 50% of the time it just makes shit up.

Because it’s not AI, it’s LLMs, and all LLMs do is guess what word most likely comes next in a sentence. That’s why they are terrible at answering questions and do things like suggest adding glue to the cheese on your pizza because somewhere in the training data some idiot said that.

The training data for LLMs come from the internet, and the internet is full of idiots.

The spokesperson did not answer questions about the frequency of ads or what cars were covered by the SiriusXM contract.

A spokesperson saying “we are looking into this” doesn’t actually mean it was never intended or that it has stopped.

This was most likely a bug and it probably has been fixed since

You have a source for any of your assumptions?