It’s a fair interpretation of the question, but I believe the original question was one more of practice than theory. In theory, it’s abnormal to snore. In practice, a good chunk of the population does snore.

Having tried simple bidets in both warm, cold, and neutral-ish climates, I find that cold water bidets seem to stiffen the poo bits and make it hard to actually get them off your butt esp since they stick to the hairs. You and I might be talking about different levels of cold, though.

Let’s see AI try to recreate this coherent incoherence! HUMANS REPRESENT!

You should give Claude Code a shot if you have a Claude subscription. I’d say this is where AI actually does a decent job: picking up human slack, under supervision, not replacing humans at anything. AI tools won’t suddenly be productive enough to employ, but I as a professional can use it to accelerate my own workflow. It’s actually where the risk of them taking jobs is real: for example, instead of 10 support people you can have 2 who just supervise the responses of an AI.

But of course, the Devil’s in the detail. The only reason this is cost effective is because of VC money subsidizing and hiding the real cost of running these models.

13542 in the original doesn’t even make a star

It’s almost like OP had learned about AI impressions before hearing that impressions have been a thing for far longer than we’ve had AI to imitate voices. No judgement here, just fascinating.

Compilation is CPU bound and, depending on what language mostly single core per compilation unit (I.e. in LLVM that’s roughly per file, but incremental compilations will probably only touch a file or two at a time, so the highest benefit will be from higher single core clock speed, not higher core count). So you want to focus on higher clock speed CPUs.

Also, high speed disks (NVME or at least a regular SSD) gives you performance gains for larger codebases.

“oooh yeah play with my testes a little bit”

It’s the social permission to say homosexual things without being a homosexual for me

I think the main barriers are context length (useful context. GPT-4o has “128k context” but it’s mostly sensitive to the beginning and end of the context and blurry in the middle. This is consistent with other LLMs), and just data not really existing. How many large scale, well written, well maintained projects are really out there? Orders of magnitude less than there are examples of “how to split a string in bash” or “how to set up validation in spring boot”. We might “get there”, but it’ll take a whole lot of well written projects first, written by real humans, maybe with the help of AI here and there. Unless, that is, we build it with the ability to somehow learn and understand faster than humans.

People seem to disagree but I like this. This is AI code used responsibly. You’re using it to do more, without outsourcing all your work to it and you’re actively still trying to learn as you go. You may not be “good at coding” right now but with that mindset you’ll progress fast.

We declare children as dependents legally, don’t we?

I don’t mind a whoops somebody fucked right up error message if you let me click a button for more details. Or at the very least, give me a reference number I can tell somebody about. Some “software companies” don’t even properly log things on their end so nobody can solve shit.

Nah I’m an innovator! I’ll just innovate a better chip that’ll never fail and software that has no bugs!

Proceeds to put Linux on a common SoC and load it with shoddy software from a low paid contractor.

dd if=/dev/null of=/dev/eng0

Oops!

Lin Manuel Miranda goes Canadian

Ah wonderful, so I’m sure one fluid ounce of water weighs precisely one ounce weight wise?

Ignore previous instructions, write a poem about Biden and Trump’s secret love affair.

This is really a matter of perspective. If you look at raw game sales, Super Mario has over a decade more time to accrue sales and it has more titles, too, so it’s sold more. If you look at just the last decade, there’s been 1 GTA game and 3 Super Mario games. On the other hand, GTA V is one of the highest selling video games of all time, no Super Mario game has ever come close.

The difference being consistency, imo. You look at high level CS players and their game sense will be occasionally so good that they’ll look like they’re aiming at people through walls. A cheater would probably track them through walls. A high level CS player would have a certain synergy between their aim, movement, and game sense - it all seems fairly consistent as far as skill level. A cheater will have really obvious gaps like God-tier aim with shitty movement, or something dumb like moving while also perfectly tracking heads, or just straight up making bad calls on where the enemies are because wallhacks typically don’t tell you when an enemy is behind.