For one, as you said yourself, they were just programmed to compute the probability of the next token. They were not programmed to play chess, chess games just happened to be in the training data.

For another, there is no formal definition of "understand", and it is therefore impossible to tell whether or not they "understand". (But my claim was that one need to understand something to write poem about it. And the LLM can write poem about it)

In short, this is the believe that a god-like AI could punish them retroactively, for not having done all that was in their power to create this AI.

(A bit similar to some religious believe that a god could punish you after your death if you did not spend your live "pleasing" said god during your life)

They gain all these abilities in their training. That's what training does. Despite no one programmed them to master chess, or hack into anything.

If I may ask how do you actually plan to make money? Because as far as I can tell, you're still losing a lot of money on every oven you give away.

Do you know what's the count?

I don't see why that's the case. LLM trained on binary would totally see it, not?

Also the tool can also be running the test and a debugger.

But for desktop applications it is bloated, a big attack surface.

HTML/CSS is made for online documents, and using it for applications is a bit hack that happen to work, but hides a huge ton of complexity behind frameworks and frameworks of frameworks with leaky abstractions and each their own caveat.

Asbestos, is "natural". So is Arsenic. And CO2. https://en.wikipedia.org/wiki/Appeal_to_nature

Or do you need evidence that the bio labels are not optimizing for health or environment? Check the rules. Most of them are just there to restrict synthetic products, regardless of their impact.

https://en.wikipedia.org/wiki/Organic_certification#False_as...

As for the animal welfare, true, but there are also labels specifically for that that.

Organic labels are a different thing than official regulation though. IMHO organic labels optimize for the wrong things.

There is also the "gamification" aspect that GitHub have. Doesn't motivate me personally, but could have effect on some others.

Projects on GitHub gets a lot more visibility. To the point that many projects that do not use GitHub as their main forge are still often mirroring their repository there, and have to deal with double source of bug reports or pr.

How often do you read assembly to check what your compiler is doing?

There is a niche of people doing it when they have special constraints, but that's a tiny niche.