Interesting point, there are indeed different types of "debt" in the systems we build. It likely help to be more precise about their nature, and indeed assisted coding might help grow a particular kind of debt.

If you're wondering the kind of dumpster fire Facebook is now, that gives an idea. It was crap all along for sure, but clearly they crossed another threshold.

Still a bit mysterious but could be interesting if they really deliver.

I was so waiting for someone motivated enough to publish a review of that paper. I indeed threw it away as weak after reading it. Thanks for taking the time to write this up! This is good scientific inquiry... and it shows there were interesting findings in the paper that the authors decided to just ignore.

Another example of how much of a problem this is for some projects. Of course it is compounded by having so many projects on GitHub, this pushes people to try to farm for activity to attempt to make their resume look good. This is sad.

Are we on the verge to a push toward a mainframe based future? I really hope not, but for sure the hardware prices surging won't make things easy.

Kind of resonate oddly with the string of talks I gave talking about craftsmanship a decade ago. Looks like FOSS communities at large have no choice but get inspired by such old practice.

I guess when you unleash agents unsupervised their ethos tend to converge on the self-entitled asshole contributors? This raise real questions, this piece explains the situation quite well.

Clearly Free Software projects will have to find a way to deal with LLM generated contributions. A very large percentage of them is leading to subtle quality issues. This also very taxing on the reviewers, and you don't want to burn them out.

Let's not forget the ethical implications of those tools indeed. Too often people put them aside simply on the "oooh shiny toys" or the "I don't want to be left behind" reactions. Both lead to a very unethical situation.

Interesting analysis. It gives a balanced view on the possible scenarios around the AI hype.

Very in depth review of the mess of a Matrix home server vide coded at Cloudflare... all the way to the blog announcing it. Unsurprisingly this didn't go well and they had to cover their tracks several times. The response from the Matrix foundation is a bit underwhelming, it's one thing to be welcoming, it's another to turn a blind eye to such obvious failures. This doesn't reflect well on both Cloudflare and the Matrix Foundation I'm afraid.

Interesting point. As we see the collapse of public forums due to the usage of AI chatbots, we're in fact witnessing a large enclosure movement. And it'll reinforce itself as the vendors are training on the chat sessions. What used to be in public will be hidden.

Interesting ideas on how to approach teaching at the university. It gives a few clue on how to deal with chatbots during exams, can be improved but definitely a good start.

Sounds like a very interesting model (pun intended). It's really nice to pack that much performance in a smaller neural network.

I'm not sure the legal case is completely lost even though chances are slim. The arguments here are worth mulling over though. There's really an ethical factor to consider.

I agree with this so much. It's another one of those I feel I could have written. I have a hard time thinking I could use the current crop of "inference as a service" while they carry so many ethical issues.

Is this really to improve your work? Or make you dependent? In the end it might be the user which looses.

There is a real question about the training data used for the coding assistant models. It's been a problem from the start raising ethical concerns, now it shows up with a different symptom.

This looks like an interesting way to frame problems. It can give an idea of how likely they can be tackled with LLMs. It also shows that the architecture and the complexity greatly matter.