People were violating the terms of GPL without consequence long before AI. It is very difficult to determine if binaries were compiled from fragments of GPL code.

The places I have found AI most useful in coding is stripping away layers of abstraction. It is difficult to say as a long time open source contributor, but libraries often tried to cater to everyone and became slow, monolithic piles of abstraction. All the parts of an open source project that are copyrightable are abstraction. When you take away all the branching and make a script that performs all the side effects that some library would have produced for a specific set of args, you are left with something that is not novel. It’s quite liberating to stop fighting errors deep in some UVC driver, and just pull raw bytes from a USB device without a mountain of indirection from decades of irrelevant edge case handling.

Mermaid is really bad about cutting off text after spaces, so you have to insert <br>s everywhere. I’m guessing this is getting rendered instead of escaped by your interface. Or just lost in translation at the tokenizer.

Reputation farming -> upvote rings -> black market promotion

It seems to be an indirect attempt to promote their GitHub project. They had Claude make them an “agent” using Bayesian modeling and Thompson sampling and now they are convinced they have heralded a new era of AI.

Even if you tuned two string to ensure that two specific notes on them vibrated at a perfect interval, there are non-multiplicative overtones modulated by resonance with the rest of the instrument. Those intervals are ideals for minimizing dissonance. Practically, the dissonance of 12TET intervals falls below the noise floor of all the other acoustic distortions that give instruments character.