Because if you can no longer pay your rent from your pension portfolio, AI capabilities matter much less to you.

GP jen729w was talking about that particular scenario, though. I have never claimed that would be an issue for everyone. But it will be an issue for a lot of people, if the crash is hard and recovery is slow.

“Markets can remain irrational longer than you can remain solvent."

Then you somehow still need to get rid of the working man, though...

Looking at the age structure of the Chinese population I have doubts that it will be "their century".

> but more importantly. it’s not my problem.

But it absolutely is! Those people can and do vote.

What is sane about that, if they already own more than they could ever reasonably spend for their enjoyment?

The scorpion shrugged, and did a little jig on the drownings frog's back.

"I could not help myself. It is my nature."

Then they both sank into the muddy waters of the swiftly flowing river.

Same thing that is sane about a paperclip optimiser making paperclips, or a mammal improving its sexual attractiveness

It's called capitalism. Whether that is sane, or individual self-interest without empathy is a trait of sociopaths, i'll leave up to psychologists and historians to debate.

The incentives have to change. Any breach regarding PID should have fines as a percentage of revenue of the company. Any breach intentionally covered up and found out later by a third party should mean jail time for the C level. Yes, I know it is hard to make such laws "foolproof". And yes, in the current political and economical climate it will not happen anyway.

EU has these laws

The doll never learns, though.

I am talking about the value to the user, who is the one 'hallucinating,' not the inanimate object, as that was the concern of note in the parent comment.

> The minimum return policy by law in EU is 14 days.

I do not think that is true for stuff being bought directly in a physical store. The policy is for online purchases.

> LLMs will never be able

That is a very bold claim, unless you meant "current LLMs".

These models aren't really LLMs -- they don't just operate on text tokens. They often include vision models and in some cases audio models. That means that they can better associate the meaning of images and words together so that when someone says "make this button blue" or "create a 3D model of a rocket" they have some level of understanding of what that is and what needs to be done.

The key question is how good that understanding is. For example, a model would likely have a good understanding of various named colours and hex values (e.g. from the HTML specs, X11 specs, and various colour comparison websites) such that it could reasonably correlate that to a CSS entry. It's not clear if/how well a model would identify that given an image, though it should be easy to generate a dataset of image to colour name and/or hex code for training and evaluation.

What's more interesting is whether these frontier models are at their core transformer models, whether they use residual streams to facilitate learning, and whether they are using some other as yet unpublished architecture that gives them an edge.

Again, I was not talking about current LLMs. The statement was made without any limit regarding time. Who knows how far LLMs can get, in the end?

The coordinate system in game scenes is known as "world space", but that rarely means our world.

How do you train an LLM to create a world that only exists in an artist's head?

I think spending a day with just the lighting systems alone would alleviate us of any misunderstandings here. Getting lighting to work right isn't something you can solve by duct taping a vision model to the contraption.

Again, my issue with the statement is not about current LLMs. Who knows if LLMs cannot be a major component of AGI, or even ASI systems. Then the capability to do whatever humans can do is part of the definition.