/j: joke
/s: sarcasm
/i: irony

Easy:
You take GPU. And then you put GPU.
Understood? /j

Aren’t they already doing that?

That’s a complicated way of saying that Microsoft recommends switching to Linux. /j

I don’t care about votes. I just hope that people start to comprehend this field a tiny bit better .

But yes. Exactly in the use of “Artificial Intelligence”.

Artificial Intelligence is a wide field, consisting of a plethora of methods. LLMs like ChatGPT are part of this wide field, as per definition how researchers are describing the field.

The “intelligence” part is an issue though if taken literal, since we have no clear definition of what “intelligence” even is. Neither for human / natural intelligence, nor for artificial. But that’s how the field was labled. We have created a category for a bunch of methods, models and algorithms and sticked “AI” onto it. Therefore I stand by what I have said before:

It is AI.

Due to the lack of a clear definition for “intelligence” I would coarsely outline AI as: mimicking natural thinking, problem solving and decision processes without necessarily being identical. (This makes it difficult to distinguish it from plain calculators though, so a better definition is required.) So if we have a model that is able to distinguish cat pictures from non-cat pictures, that’s AI. And if we have “autocorrect on steroids” (credit to Dirk Hohndel) like ChatGPT, that matches the text comprehension skills of 15 year olds (just an example), then this too is AI.

Have you tried Ecosia?

Whithout a clear definition of intelligence, such a discussion is somewhat pointless. The closest thing I would use to describe artificial “intelligence” is: Mimicking human/natural thought and decision processes, without the necessity of being identical.

Secondly, regarding your first paragraph:
Humans excel at providing wrong information. Sometimes they are right. In that regard there are similarities between an LLM and a human.

By the way: LLMs are part of the field of AI. But AI consists of a plethora of methods and algorithms, where LLMs are just a tiny fraction that is currently very popular.

It is AI.

Crowdstrike already showed very impressively the danger of monopolies.

There is Windows IoT.

Fair point. But still pretty bad. Literally two days after the warranty expired my Seagate drive was broken. This was my first and only Seagate drive. Never again.

Meanwhile my old Western Digital drive is still kicking way beyond it’s warranty. Almost 10 years now.

Is Seagate still producing shitty drives that fail a few days after the warranty expired?

For dipping your toes into a new topic I think it’s perfectly fine. It helps to provide useful pointers for further “research” (in a sense that would meet your requirement) and also manages to provide mostly accurate overviews. But sure, to really dive into this, LLMs like ChatGPT and co. are just some low-level assistants at best and one should go through the material themselves.

Perplexity does a good job as LLM-search-engine-combo.

Yes. But if the machine has proven to work reliably it will usually do so for its lifetime, while humans are prone to e multitude of errors. Especially in the medical field.

I trust a good machine much more than any human.

That’s such a fucking stupid idea.

Care to elaborate why?

From my point of view I don’t see a problem with that. Or let’s say: the potential risks highly depend on the specific setup.

I see. If moving to another country, where you don’t have to suffer such conditions, is also not an option then I hope you’re looking for something else while you’re at your current job. These are no conditions anyone should suffer.

The idea of a world driven by robots empowered by AI methods, is really great. It gives freedom to everyone with almost no costs. Just doesn’t work so well with a capitalistic society as the one we currently have.

Such uses demand a non-capitalistic socio-economic system. Like some form of communism.