All of which is small fry compared to the fact that he digitally raped a women.

Let's also not forget that he's in the Epstein files and statements he made at the time suggest he knew exactly who Epstein was. Even if he didn't rape any children himself, he continued to be Epstein's friend.

It's more of a quality issue. An AI generated game could be good, it's just that because the barrier to entry is so low now, literally just type a prompt and then complain about the things that don't work right, that people with lame ideas and copycats are not dissuaded by the effort required.

Musk is doing his usual "our product is shit but all the better ones are fake and ours will be the greatest when it's finished!"

Musk's robots are crap and his AI is mediocre. He's nowhere near having AI operate his robots, which is why he has humans remotely tele-operating them.

It's so fucking embarrassing. Not that he bullshits everyone this way, but that people take him seriously.

A lot of these patches are for security flaws that LLMs found, so can't be simply ignored because of the source. If one LLM found it, another can.

It's just a difficult period we have to get through. Then it will be down to checking new code for flaws with AI, because it get deployed.

Most countries follow a similar path with EV adoption. Starts slow, people are worried about range and charge times and scare articles about the batteries only lasting a couple of years. Then they see people driving them and that they are actually superior in many ways, and decide to get one themselves. At the same time, infrastructure improves.

China is ahead because they started early, and had a lot of commercial adopters. Busses went EV a decade ago, then taxis.

It's the same with Linux. One of the reasons why it's finally gaining traction on the desktop is because instead of searching outdated Reddit threads and being berated by neckbeards who think you are an idiot for not doing it the way they do, you just ask AI and get a helpful response.

The issue is usually not knowing where to start looking. There is some goal you want to achieve, but you aren't sure what technology to use, what the terminology is, where to look in the manual. You could research it all, but these days it's easier to just ask AI, which will search sites like Stack Exchange for you, and get you on the right path.

Obviously you don't take the AI's word for it, but it gets you started with your own research.

The same can be said about banks holding your real money. Or more accurately, a database entry tracking your balance, because it's not like they have a physical pile of cash in a vault with your name on it.

The issue is regulation. The bank has to have enough insurance to cover any losses, and has to reimburse you. In many countries there is a limit on the maximum liability.

Or all software. Nobody starts from first principles and a formal description of the CPU's instruction set.

It's been tried many times. Freenet is one example, back in the day. Onion sites on Tor. It never works, unfortunately.

The issue with their folding phone is that they came to the game late and didn't learn anything from the competition. Other companies are several generations into foldables, and have largely figured out the hinge reliability problems, and software support on the Android side is decent.

Apple has to do everything in-house, so are where Samsung was when they released the original Galaxy Fold, 7 years ago. Weak screen that breaks easily, hinge that lets crap in, and software that is half baked.

Back in the Jobs era they had problems with Macbook hinges and thermal paste.

Apple has always had issues with engineering. There have been moments of genius like back in the Apple I and ][ days, or some of the 68k Macs that had designs that made them easy to work on, but even then there were performance issues, upgrade issues, and quality issues. It got worse in the Jobs era, as he introduced such innovations as non-replacable batteries and form over function. The iPod headphone output took a few generations to get decent, and the original monochrome screens were crap even by the standards of the day.

Given that they have decades of tests and sample scripts, an LLM should be able to recreate it bug-for-bug. If a customer has an issue with an existing script, they can just throw more tokens at it until the compatibility issue is resolved.

Unfortunately there is a high probability that this will work. Things are not looking good for human developers.

Reddit is hoping that AI companies will pay them. Reddit is a major source of information for AI.

It may look bad now, but so did AI generated code at first. Now it's at the point where for a lot of businesses it's more than adequate to replace human developers. I hate to say it because I'm at risk too, but I can't argue with the results.

A guy at work recently presented a web interface that Claude built for him, for a research project. A year ago that would have been a job for someone on my team. It looks good, it works well, and Claude produced an SBOM and a security audit.

I don't know how this is going to play out, but as bad as a lot of the AI slop is, I think it's just teething problems.