areyouevenreal

What made you think that?

Stainless steel pans are amazing when used for the right purpose. They weigh much less than cast iron, don't require any maintenance beside cleaning them, and they are pretty much indestructible. If you burn something badly you can use metal scowering pads or any chemical you damn well like (including sodium hydroxide that will melt flesh) to get the thing clean again. They are tolerant to any cooking temperature you would ever use, ever. You can't overheat one with any appliance a normal kitchen would have. This means you can easily pop one in the oven provided it has a metal handle.

The only issue being they have no non-stick properties to speak of and relatively little thermal mass. This is good in that they don't need long to heat up, but bad in that it's not a consistent temperature and you have to know what you are doing with the power control to get the results you want. This means it's essentially useless for cooking things like steak, and difficult even to cook an omelet without using a lot of butter, ghee, or oil. Things like tomato sauces though? Perfect. The stainless steel could care less about the acidity.

People see AI and immediately think of ChatGPT. This is despite the fact that AI has been around far longer and does way more things including OCR and data mining. It's never been AI that's the problem, but rather certain uses of AI.

I've seen teachers use this stuff and get actually decent results. I've also seen papers where people use LLMs to hack into a computer, which is a damn sophisticated task. So you are either badly informed or just lying. While LLMs aren't perfect and aren't a replacement for humans, they are still very much useful. To believe otherwise is folly and shows your personal bias.

I am not talking about things like ChatGPT that rely more on raw compute and scaling than some other approaches and are hosted at massive data centers. I actually find their approach wasteful as well. I am talking about some of the open weights models that use a fraction of the resources for similar quality of output. According to some industry experts that will be the way forward anyway as purely making models bigger has limits and is hella expensive.

Another thing to bear in mind is that training a model is more resource intensive than using it, though that's also been worked on.

Bruh you have no idea about the costs. Doubt you have even tried running AI models on your own hardware. There are literally some models that will run on a decent smartphone. Not every LLM is ChatGPT that's enormous in size and resource consumption, and hidden behind a vail of closed source technology.

Also that trick isn't going to work just looking at a comment. Lemmy compresses whitespace because it uses Markdown. It only shows the extra lines when replying.

Can I ask you something? What did Machine Learning do to you? Did a robot kill your wife?

Even if it didn't improve further there are still uses for LLMs we have today. That's only one kind of AI as well, the kind that makes all the images and videos is completely separate. That has come on a long way too.

From what I heard they do actually put a lot of effort into simulating airplane aerodynamics at least for the smaller planes. So the flying part is kind of important.

(Jumping from an insult about dietary preferences to an insult about war crimes is not the same magnitude)

The potato joke is a joke about war crimes even if the person telling it doesn't realize this. They actually responded in kind.

Still having these issues very recently.

Github has a container register you can use.

Does anybody actually use that feature though?