diz

Honestly 16 bit would be easier because there would just be so much less code.

Pre-LLM, I had to sit through one or two annual videos to the sense of “dont cut and paste from open source, better yet don’t even look at GPLd code you arent working on” and had to do a click test with questions like “is it ok if you rename all the variables yes no”. Ohh and I had to run a scanning tool as part of the release process.

I don’t think its the FSD they would worry about, but GPL especially v3. Nobody gives a shit if it steals some leetcode snippet, or cuts and pastes some calls to a stupid API.

But if you have a “coding agent” just replicating GPL code wholesale, thousands and thousands of lines, it would be very obvious. And not all companies ship shitcode. Apple is a premium product and ages old patched CVEs from open source cropping up in there wouldn’t be exactly premium.

That is not equivalent, though; other solutions to "can not be left unattended" exist; just ask Kristi Noem.

LLM snippets are so 2024. Coding agents, baby.

Yeah, that's a great example.

The other thing is that unlike art, source code is already made to be consumed by a machine. It is not any more transformative to convert source code to equivalent source code, than it is to re-encode a video.

The only thing they do that is "transformative" is using source code not for compiling it but for defrauding the investors.

Other funny thing: it only became a fully automatic plagiarism machine when it claimed that it wrote the code (referring to itself by name which is a dead giveaway that the system prompt makes it do that).

I wonder if code is where they will ultimately get nailed to the wall for willful copyright infringement. Code is too brittle for their standard approach, "we sort of blurred a lot of works together so its ours now, transformative use, fuck you, prove that you don't just blur other people's work together, huh?".

But also for a piece of code, you can very easily test if the code has the same "meaning" - you can implement a parser that converts code to an expression graph, and then compare that. Which makes it far easier to output code that is functionally identical to the code they are plagiarizing, but looks very different.

But also I estimate approximately 0% probability that the assholes working on that wouldn't have banter between themselves about copyright laundering.

edit: Another thing is that since it can have no own conception of what "correct" behavior is for a piece of code being plagiarized, it would also plagiarize all the security exploits.

This hasn't been a big problem for the industry, because only short snippets were being cut and pasted (how to make some stupid API call, etc), but with generative AI whole implementations are going to get plagiarized wholesale.

Unlike any other work, code comes with its own built in, essentially irremovable "watermark" in the form of security exploits. In several thousands lines of code, there would be enough "watermark" for identification.

Having worked in computer graphics myself, it is spot on that this shit is uncontrollable.

I think the reason is fundamental - if you could control it more you would put it too far from any of the training samples.

That being said video enhancements along the lines of applying this as a filter to 3d rendered CGI or another video, that could (to some extent) work. I think the perception of realism will fade as it gets more familiar - it is pretty bad at lighting, but in a new way.

Well, it did reach for "I double checked it, I'm totally sure now" language.

From the perspective of trying to convince the top brass that they are making good progress towards creating an artificial psychopath - not just an artificial human - it's pretty good.

Still seems terminally AI pilled to me, an iteration or two later. "5 digit multiplication is borderline", how is that useful?

I think there's a combination of it being a pinnacle of billions and billions of dollars, and probably theirs firing people for slightest signs of AI skepticism. There's another data point, "reasoning math & code" is released as stable by Google without anyone checking if it can do any kind of math.

edit: imagine that a calculator manufacturer in 1970s is so excited about microprocessors they release an advanced scientific calculator that can't multiply two 6 digit numbers (while their earlier discrete component model could). Outside the crypto sphere, that sort of insanity is new.

Yeah, I'd also bet on the latter. They also added a fold-out button that shows you the code it wrote (folded by default), but you got to unfold it or notice that it is absent.

Oh and also for the benefit of our AI fanboys who can't understand why we would expect something as mundane from this upcoming super-intelligence, as doing math, here's why:

Also, I just noticed something really fucking funny:

(arrows are for the sake of people like llllll...)