So much of new open source code feels like folks just sharing their Claude tokens with each other, after the fact. I’m having fun just gluing stuff together with my Claude tokens.

It’s unfortunate that so many of these projects just whither away, blasts of commits with hundreds of files but nothing changed in months.

Where did you come across Leiden partitioning? I’m facing a similar use case and wonder what you’re reading.

Pretty new graph clustering algorithm (published in 2019). Original publication which is actually fairly readable: https://www.nature.com/articles/s41598-019-41695-z

With real consequences for mistakes, or at least a framework for accountability.

Making this decision as a politician in this country is death to your career though; how could we incentivize our leaders to bite the hand that elects them?

If your local mayor decides to allow a tower block to be built next to your house, you might be pissed.

But if the president says 'we're gonna take away mayors powers to restrict housebuilding', you won't be pissed yet.... And when a builder comes along to build later it'll be too late.

The president doesn’t have this power, or shouldn’t according to a sane reading of the Constitution. This needs to be a state level action.

I barely trust them with any personal info. Are we (HN crowd) biased in a way that will cause us to miss out? I wonder if we are insiders - having a privileged perspective given our industry is on the front lines - or if we’re just becoming jaded.

I missed out on having my transactions publicly posted on Venmo, too. I’m just a slow adopter, I guess.

Cheers to all the teams on sev1 calls on their holidays, we can only hope their adversaries are also trying to spend time with family. LangGrinch, indeed! (I get it, timely disclosure is responsible disclosure)

I’ve tried to use Podman in a “normie” homelab - Macs and Linux - and my experience is that it’s simple until it isn’t, and the layers of abstraction and documentation make it difficult to reason about what’s wrong. I found myself combing through Redhat forums, for an issue on a Mac, and it was unclear which components were relevant for my deployment.

I never did solve it, and ended up buying OrbStack.

I guess that a mac requires a linux vm, because quadlets rest on systemd.

But Macs and Windows boxes will always be a lesser experience for dev workloads, that was even during the days when the LAMP stack reigned supreme.

All you had to drop was “web scale”, so much meaning compressed into that :)

IME it’s a term that’s been popularized by generative AI solutions, a meme at this point, and doesn’t speak to real production readiness quantifiably (professionally). It’s something that I’ve seen models frequently claim during coding and planning sessions, and it can also be found around Reddit/Twitter/Github vibe coding spaces.

Seeing this term in marketing materials signals that the target audience is non-professionals (and I don’t mean this derisively, only that we need to apply a different lens).

But is this “production-ready”?