https://youtu.be/PoJAZEFX5z4

Oh sorry, I meant what kind of box?

Have you heard the stuff from the new v4 model? The vocals are so much clearer and the instrumentation gets pretty varied (ymmv depending on how specific you get with the styles though)

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.

Petty theft rings too true. Had a friend that worked at one of those bulk ingredient shops who’d regularly just take home like a kilo of rice or flour. They don’t check anyway and it hardly affects their bottom line.

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 suppose you can’t blame your earlier dentists, though. How were they supposed to know? And if they automatically treated redheads differently, would that be racism?

I occasionally lecture my 3DPD wife about science facts and she hates it. She’ll say things like “what?” And “I was just asking what we should do for dinner”

We still don’t talk sometimes

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.

Not what I’d have expected. In my company it’s mostly higher ups (suits) pushing the stuff and workers begrudgingly implementing it.

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