This is the most California thing I've ever read. Unconstitutional, unenforceable, and a massive increase in costs and bureaucracy; they hit the trifecta! I wonder if printer manufacturers that bake their own bread will be exempt once their checks to the governor's presidential campaign clear.

Incidentally, this is the kind of stupid shit that helps Trump and people like him get elected over and over.

There's a very clear pattern when we look at who benefits in any given gold rush and while there's a few big winners that fuel the mania, the vast, vast majority are losers.

And then there's Nvidia, happily selling shovels all day.

No, of course not, because he's stuck in his dogmatic viewpoint. He doesn't actually know much about LLMs, but he's got a ton of beliefs about them. And you have a hard time changing peoples' beliefs.

That was definitely a problem two years ago. I did just check in ChatGPT, Claude, and Gemini and all reported 3 correctly. The problem with people throwing out these sorts of criticisms isn't that they're all wrong; it's that they're ignorant of the leaps in progress being made. These models are rapidly improving and it's getting harder to find serious gotchas with them. They're still weak in some areas (e.g., spatial reasoning), but for serious power users who know how to prompt them well? They've become insanely powerful tools.

Not gods; tools. But really, really strong tools for huge variety of tasks.

> The article mentions seatbelts jammed in doors. Personally I think Tesla should make clear instructions to the passenger to ensure the door is fully closed before leaving.

You mean Waymo, not Tesla there, but they absolutely do yell at you to close it if you leave one open for even a minute or so. I know because we used one and got yelled at, though we were just unloading stuff at the time and closed it afterward.

I've used ChatGPT to write code and Gemini to debug it. If you pass the feedback back and forth, it takes a couple iterations but they'll eventually agree that it's all good and I find that's about 90-95% of the way to where I need it to be. Earlier today I took a 6kb script that had been used as something fast and dirty for years - written by someone long gone from the company - and completely revamped it into something much more powerful, robust, and polished in both its code and its output. Script grew to about 20kb, but it's 10x better and I only had to make minor tweaks. Between the two, they found all sorts of hidden bugs and problems with it.

> If your debt is denominated in dollars how does depreciation in the dollar make it harder to pay back?

It doesn't, it just leaves the general public holding sacks of worthless paper money or pointless numbers in a bank's database when they want actual stuff, like food.

Inflation as long been used as a stealthy way to tax the public, they see their quality of life going to crap as each new generation comes along, but nobody wants to admit the problem lies with government spending The US had the advantage of pushing a lot of the inflation tax onto the rest of the world, but that's going away as so many other countries want to get free of the dollar.

If tomorrow the government hands out a trillion dollars to everyone, we won't all suddenly have a lot more stuff. We'll have a lot more paper and all the resources that were scarce yesterday will still be just as scarce. Probably even more so as there's a rush to consume more before prices can fully react to such a change.

> We have been hearing these same predictions about the national debt for almost 100 years ... the argument is fundamentally flawed. Mostly because it ignores things like economic growth, inflation and the value created by whatever the debt buys.

The fiat system has collapsed a few times, do you know anything about Brazil or Zimbabwe?

I don't think gold is a magic solution here, or returning to that standard would fix everything, but you do need some level of balance between the amount of currency and the things there are to buy with it and we damn near broke it during Covid with the mass inflation there. So I wouldn't be too cavalier that this could never happen, even as I don't think it's in any immediate danger.

But remember: there won't be a US dollar to peg the US dollar to if we screw it up and that's the only way Brazil got out of its mess in the 1990s.

Meanwhile, you can get $100 trillion Zimbabwe dollars for $3 USD.

> It's a useless technology anyway

I hope this quote someday goes on to be as infamous as "No wireless. Less space than a Nomad. Lame." but Slashdot probably isn't relevant enough for that any longer.

Yeah, because the customers don't want anything else. Itch.io is great ... if you want random indie stuff. GOG seems to have no idea what to recommend and you either get games from 1992 or hentai VNs with a porn patch so they're not technically selling the porn, with little that's actually interesting.

If they ever want to do that, they should hire Kitboga. He made a digital maze where a bunch of scammers are still looking for some bitcoin that doesn't exist by solving captchas, waiting on hold in ridiculous phone trees, etc.

Self-hosted Atlassian products seem to be just fine.

As for what "they said", they also said this cloud shit would be cheaper. It isn't.

Wikipedia is an interesting concept and it works decently well as a place to go read a bunch of general information and find decent sources. But LLMs are feeding that information to people in a customized, granular format that meets their exact individual needs and desires. So yeah, probably not as interested in reading your giant wall of text when they want 6 specific lines out of it.

Remember when Encyclopædia Britannica was crying about you stealing their customers, Wikipedia? Yeah, this is what they experienced.

If you spend time with the higher-tier (paid) reasoning models, you’ll see they already operate in ways that are effectively deductive (i.e., behaviorally indistinguishable) within the bounds of where they operate well. So not novel theorem proving. But give them scheduling constraints, warranty/return policies, travel planning, or system troubleshooting, and they’ll parse the conditions, decompose the problem, and run through intermediate steps until they land on the right conclusion. That’s not "just chained prediction". It’s structured reasoning that, in practice, outperforms what a lot of humans can do effectively.

When the domain is checkable (e.g., dates, constraints, algebraic rewrites, SAT-style logic), the outputs are effectively indistinguishable from human deduction. Outside those domains, yes it drifts into probabilistic inference or “reading between the lines.” But to dismiss it all as “not deduction at all” ignores how far beyond surface-level token prediction the good models already are. If you want to dismiss all that by saying “but it’s just prediction,” you’re basically saying deduction doesn’t count unless it’s done by a human. That’s just redefining words to try and win an Internet argument.

They do quite a bit more than that. There's a good bit of reasoning that comes into play and newer models (really beginning with o3 on the ChatGPT side) can do multi-step reasoning where it'll first determine what the user is actually seeking, then determine what it needs to provide that, then begin the process of response generation based on all of that.