Part of me wants to just chalk it up to general AI backlash, but it also feels like there's a bit more there that I can't quite put my finger on. Gamers just generally being a contentious and picky demographic? I'm not sure.

For illegal drugs, people who want them want them a lot, so them being illegal isn't a strong deterrent; although, legalization has still absolutely increased the number of users (i.e. legality was acting as an effective deterrent for some.)

For illegal gambling, sure _some_ people won't be deterred by legality, but most people aren't hardcore gambling addicts; they're just engaging as a form of "harmless fun." They're not looking to go to jail to toss $20 on a sports game.

Like, sure, LLM writing is almost always grammatically correct, spelled correctly, formatted correctly, etc., which tends to be true of good writing. But there's a certain style that it just can't get away from. It's not just the em-dashes, the semi-colons, or the bulleted lists. It's the short, punchy sentences, with few-to-no asides or digressions. Often using idiom, but only in a stale, trite, and homogenized manner. Real humans, are each different -- which lends a certain unpredictability to our writing, even if trying to write to a semi-formal standard, the way "good" writers often do -- but LLMs are all so painfully the same, and the output shows it.

On Earth, you can vent the heat into the atmosphere no problem, but in space, there's no atmosphere to vent to, so dissipating heat becomes a very, very difficult problem to solve. You can use radiators to an extent, but again, because no atmosphere, they're orders of magnitude less effective in space. So any kind of cooling array would have to be huge, and you'd also have to find some way to shade them, because you still have to deal with heat and other kinds of radiation coming from the Sun.

It's easier to just keep them on Earth.

I can't speak for where you live, but in America, there are many, many traffic laws. They differ greatly by jurisdiction. Most of them are not enforced. Sometimes explicitly -- for example, in my city, they recently announced they would no longer detain people for specific minor traffic violations -- but usually, it's implicit which go unpunished. It's also selective. By creating an unseen web of violations, the detaining officer is given all the necessary tools to make each stop as painful or as peaceful as they'd like.

> And it's not like any of your criticisms don't apply to human teams.

Every time the limitations of AI are discussed, we see this unfair standard applied: ideal AI output is compared to the worst human output. We get it, people suck, and sometimes the AI is better.

At least the ways that humans screw up are predictable to me. And I rarely find myself in a gaslighting session with my coworkers where I repeatedly have to tell them that they're doing it wrong, only to be met with "oh my, you're so right!" and watch them re-write the same flawed code over and over again.

And no, just because you can imagine a human stupid enough to make the same mistake, doesn't mean that LLMs are somehow human in their flaws.

> the gap is still shrinking though

I can tell this human is fond of extrapolation. If the gap is getting smaller, surely soon it will be zero, right?

But as soon as I have any suspicion that the task is going to perform any non-trivial computation, or when I notice the structure of the program starts to grow beyond a couple of files, that's when Python no longer feels suitable to the task.

> Everyone seems to agree tau is better than pi. How much adoption has it seen?

> It took hundreds of years for Arabic numerals to replace Roman numerals in Europe.

What on earth does this have to do with version numbers for math? I appreciate this is Hacker News and we're all just pissing into the wind, but this is extra nonsensical to me.

The reason math is slow to change has nothing to do with backwards compatibility. We don't need to institute Math 2.0 to change mathematical notation. If you want to use tau right now, the only barrier is other people's understanding. I personally like to use it, and if I anticipate its use will be confusing to a reader, I just write `tau = 2pi` at the top of the paper. Still, others have their preference, so I'm forced to understand papers (i.e. the vast majority) which still use pi.

Which points to the real reason math is slow to change: people are slow to change. If things seem to be working one way, we all have to be convinced to do something different, and that takes time. It also requires there to actually be a better way.

> Is this what "heavy optimization" looks like?

I look forward to your heavily-optimized Math 2.0 which will replace existing mathematical notation and prove me utterly wrong.