These Chinese EVs are hitting the market at $8,000-10,000 new. The cheapest EVs in the US currently are about 3 times as much with the average EVs 5-6 times higher. At those prices, the Chinese EVs would be wildly popular. They'd arguably hurt the US automakers, which is why we're not allowing them into the market today.

Irony or exceptionally naive statement? Difficult to say...

Simple: If it is slop and irrelevant, it still takes almost as much time to work on as a bug with high relevance. Google is overloading the projects engineering capabilities.

Like all other enterprises, Google is happy to take from the commons, but will not contribute unless publicly called out on it. As is happening here.

The problem is to discover whether it is AI slop or a real issue, you have to do 90% of the work anyways. Google is essentially doing a DoS attack on FFmpeg by delivering unvetted and often low-quality reports. Yes, that means the Google people behind this are _really_ dumb.

Very simple, although it is not a surprise YOU do, again, not get it: It requires most of the work, which is analysis, to find it is slop and slap that WONTFIX on it.

Indeed. Much of the school system is motivated by that. One of the reasons all good STEM courses have to teach _basics_ to their students, because school failed to do that.

Indeed. And after those years still being without any business model and not doing very well on quality or real-world potential.

Indeed. It is a clusterfuck and it will not do anything worthwhile. It will waste a lot of time and other resources though.

And that is exactly why "equal" is the road to hell. You will do nothing for the average and lower performers and you will demotivate and lose the (far too few) ones with better mental potential. A sure way to ruin any society. The way to go is "equal opportunity" at some point pretty early on and then it must depend on what you actually bring to the table personally.

Yep. Too many big-ego idiots around that like to think they can do anything they set their minds to. What they actually do is oversimplify things and then try simpler-than-possible approaches. That always fails, but if enough idiots go along with a hype, that failure can be delayed for years and become much more severe in its impact on society.

Indeed. And by 2033, LLM-type AI will either have failed completely (causing a severe economic crisis), or will have been reduced to sane levels (unlikely, comes with a severe economic crisis as well) and these "skills" will be useless.

Or no-skill types when the LLM-bubble inevitably pops and takes a major part of the economy with it.

Yep. A lot of "my ego is BIGGER" people here. But that is really the same of most of social media: A lot of Dunning-Kruger Effect Proof type of people.

One of the purposes of schools is to keep the unemployment numbers low. Same with universities, hence so many bullshit majors in some of them.