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.
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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How high up in the corporate ladder are they?
As a former script kiddie myself I think it’s not much different from how I used to blindly copy and paste code snippets from tutorials. Well, environmental impact aside. Those who have the drive and genuine interest will actually come to learn things properly. Those who don’t should stay tf out of production code, which is why we genuinely shouldn’t let “vibe coding” be legitimized.
We declare children as dependents legally, don’t we?
Huh, I had never considered this solution to fizzbuzz to be honest. I usually go for string concatenation, or (i % 3 == 0 && i % 5 == 0), but yeah i % 15 == 0 is certainly a clever simplification
That’s hilarious, reminds me of this.
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.
At least the source wasn’t a Rick roll
dd if=/dev/null of=/dev/eng0
Oops!
Convert the PWD value to use backslashes, too, for extra cursedness.
And so the AI war rages on
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.
Woah, that means some day you may be able to run Servo inside of Servo.
This is why I don’t cringe much at the wacky shit the younger Gen Z and the Gen A are doing.
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.