Well, they can figure out the often very complex relations and mechanics of a code base and explain it back to the user in any form and from any angle. If they can do that they should be able to detect layers of meaning in texts and address the intent on all the layers. It is not such a different problem to solve.
Raising the question when AI will not be so utterly gullible anymore. If they can "understand" (whatever that means for an AI) complex code, they should be able to recognize an intent like in the mentioned example.
It does not seem to be traditional Chinese music, at least. Or at least my understanding was that the major-minor tonality you can hear in the linked piece did not play a (any?) role in traditional Chinese music.
On the other hand this sounds like a job guarantee, though. And not only for the moment, as it is not the capability of the model which is insufficient.
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.
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.
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.
I can still use chatgpt without an account. Maybe it will be a limited model, but for discussing/analyzing some topics it still does fine, most of the time. You just cannot code with it.
> You could make the converse argument, too: why don't you borrow and leverage and bet and short these AI companies, if you so vehemently think it's a bubble?
Because going long and going short are very different. For successfully shorting something you need to have a pretty precise estimate of when the crash will happen. Being a comparatively short time off can cost you everything.
Good for the employees, they are organized in a union. This is not so typical for IT workers, at least. Meaning, in most other settings the clown show can continue for quite a while.
Arguably Sudan is a different caravan. And the totally destitute in most industrialized countries are a small minority. So, currently people can keep the mindset that they still have a chance. Once that illusion shatters, expect violence (which might not achieve anything).