That wasn't *all* I said, but it is apparently as far as you read. But let's stay there for now. You apparently disagree with this, whnich means that you think that LLMs are the only kind of AI that there is, and that language models can be trained to do things like design rocket engines.

No part of that was a lie.

If you disagree, post a citation instead of modding me down with a sock puppet account.

That's what I just said.

This is true of everything. If you want to ban kids from social media because of this then it's no less logical to ban them from everything else. A parent's job is to teach children to successfully navigate a world in which "everyone" (statistically, nearly) is trying to take advantage of them, not to keep them locked in a box.

And Russia can't build tanks like they used to either because lots of the tank parts were made in Ukraine, too.

Here's where the summary goes wrong:

Artificial Intelligence is in fact many kinds of technologies. People conflate LLMs with the whole thing because its the first kind of AI that an average person with no technical knowledge could use after a fashion.

But nobody is going to design a new rocket engine in ChatGPT. They're going to use some other kind of AI that work on problems on processes that the average person can't even conceive of -- like design optimization where there are potentially hundreds of parameters to tweak. Some of the underlying technology may have similarities -- like "neural nets" , which are just collections of mathematical matrices that encoded likelihoods underneath, not realistic models of biological neural systems. It shouldn't be surprising that a collection of matrices containing parameters describing weighted relations between features should have a wide variety of applications. That's just math; it's just sexier to call it "AI".

What always happens when you try to block kids from doing anything: they find a way to do it anyway.

We older folks too were "blocked" from doing stuff as kids, pre- and post-internet, and we too did it anyway. And it actually made us smarter, as we had to devise ways around the obstacle.

Kids are smart. This will just make them smarter.

and the product hasn't even become attractive and popular yet. OpenAI forgot that step...

He's probably like one of those people who knows that Africa has been fucked over by other nations as long as there have been other nations to fuck them over. Everyone's had a turn abusing Africa.

Your first full paragraph is 100% opinion. Run along now.

It's easy to have unique keys in your spreadsheet so that you can easily relate information on different sheets to one another. The problem is, actually doing the processing that a SQL server would do trivially is irritating, and then it will be processed slowly every time. Whatever Excel does or doesn't cache, it isn't enough. You can do big complicated things, but they work slowly, and maintaining it is irritating at best. When you do complicated things either your formulas get long, or you wind up having to write code, or in fact often it's both. At that point you're way better off IMO doing it in something else so that at least performance is good when you're done, and you never have to screw with editing a long formula.

That's exactly why it should be in a database and not a spreadsheet. Spreadsheets are best when you have a reasonably limited number of columns. It's also a horrible PITA to use them as a relational database (it's more or less possible, but you don't want to do it) so hiding pieces of that complexity in other sheets in order to limit the data the user interfaces with on the main sheet is just a lot of extra work you wouldn't have to do if you used another solution.

It doesn't really matter where it fails, if Excel can do it and Sheets can't then Google has to admit inferiority to Microsoft which is never a good look.

Biden went around congress to fund a different genocide. Pretty words, but living up to them is another matter.

The problem is that the LLM only does one trick. When you start integrating other software with it, the other software's input has to be fed in the same way as your other tokens. As the last paragraph of TFS says, "every clock check consumes space in the model's context window" and that's because it's just more data being fed in. But the model doesn't actually ever know what time it is, even for a second; the current time is just mixed into the stew and cooked with everything else. It doesn't have a concept of the current time because it doesn't have a concept of anything.

You could have a traditional system interpreting the time, and checking the LLM's output to determine whether what it said made sense. But now that system has to be complicated enough to determine that, and since the LLM is capable of so much complexity of output it can never really be reliable either. You can check the LLM with another LLM, and that's better than not checking its output at all, but the output checking is subject to the same kinds of failures as the initial processing.

So yeah, we can do that, but it won't eliminate the [class of] problem.

Every tech company needs at least three things to start with: The business guy, the brain, and the lawyer. Ideally there should also be a marketing guy, but you can add them in later. Also, none of them have to be male, I just like saying "guy", buddy.