frontpage.
newsnewestaskshowjobs

Open Source @Github

fp.

A domain can now say it is for sale, in DNS

https://specification.website/spec/foundations/for-sale-dns/
60•shaunpud•1h ago•25 comments

DeepMind's WeatherNext model achieves breakthrough forecasting cyclones

https://deepmind.google/blog/weathernext-ai-model-achieves-breakthrough-in-forecasting-cyclones/
174•bhavansig•5h ago•58 comments

Voyager 1 FDS Computer Emulator

https://zaneham.github.io/voyager-fds-emulator/
19•rahen•1h ago•1 comments

Don't use your phone while you poop

https://nate.spot/no-phone-while-poop/
54•ExMachina73•53m ago•58 comments

Gateway 2000's hilariously bad ads in the 90s (Part II)

https://buttondown.com/suchbadtechads/archive/gateway-2000-part-2/
16•rfarley04•2h ago•7 comments

A physicist rigged his pet hamster’s wheel to upload to Strava

https://www.runnersworld.com/news/a73355106/hamster-wheel-strava-running/
335•aanet•2d ago•74 comments

Hardware backdoors in some x86 CPUs

https://github.com/xoreaxeaxeax/rosenbridge
227•epestr•7h ago•71 comments

DeepSeek V4 Flash 0731

https://arcprize.org/results/deepseek-v4-flash-0731
704•tosh•21h ago•420 comments

Gentoo bugzilla closed due AI bot scraper overload

https://social.treehouse.systems/@mgorny/117058483039362779
25•happosai•1h ago•4 comments

U.S. Department of Energy Launches the Genesis Open Models Initiative

https://genesisopenmodels.anl.gov/
290•moelf•16h ago•112 comments

What happens if an entire class of workers loses faith in their careers

https://www.noemamag.com/why-is-everyone-in-tech-so-sad/
827•RickJWagner•1d ago•911 comments

BYOC Is Not Just 'Deploy into Their Cloud'

https://omnistrate.com/blog/byoc-anywhere-the-spectrum-of-bring-your-own-cloud-deployments
13•kkgupta•4d ago•0 comments

k-Coloring is Faster than Computing the Chromatic Number

https://arxiv.org/abs/2607.25973
34•matt_d•1w ago•3 comments

US Military's cyber command unit grapples with cluster of deaths by suicide

https://www.bloomberg.com/news/articles/2026-08-06/us-military-s-cyber-command-unit-grapples-with...
45•rbanffy•4h ago•45 comments

Europe's free satellite service just made it easier to track wildfires

https://arstechnica.com/gadgets/2026/08/europes-free-satellite-service-just-made-it-easier-to-tra...
95•01-_-•5h ago•9 comments

Assembly Hall of Shame

https://github.com/xoreaxeaxeax/asm-hall-of-shame
381•piotrgrabowski•20h ago•94 comments

ao486: x86-compatible Verilog core implementing all features of a 486 SX (2014)

https://github.com/alfikpl/ao486
47•csmantle•6d ago•7 comments

Ancient Library – 1,060 Greek/Latin texts, click any word to parse it

https://ancientlibrary.net/
230•aagha•20h ago•73 comments

Show HN: Rotating torus in terminal (but with kitty graphics protocol)

https://andreadimatteo.com/torus-v0-5.html
10•deotman•6d ago•2 comments

NASA figured out how to keep its Voyager 2 probe running for another year

https://www.space.com/space-exploration/voyager/nasa-figured-out-how-to-keep-its-48-year-old-voya...
311•wglb•13h ago•64 comments

Timeline of the OpenAI accidental attack against Hugging Face

https://simonwillison.net/2026/Aug/7/openai-timeline/
118•882542F3884314B•4h ago•135 comments

Lost my phone at the office. Claude suggested tracking Bluetooth signal strength

https://twitter.com/un1c0rnioz/status/2084686552299634805
54•ilamont•18h ago•45 comments

Microsoft Edge is about to lock out older ad blockers, just like Chrome did

https://www.theverge.com/tech/976880/microsoft-edge-extensions-ad-blockers-mv2-mv3
59•eternalreturn•4h ago•53 comments

2027 memory capacity is reportedly sold out

https://www.ign.com/articles/ramageddon-continues-another-year-as-2027-memory-capacity-is-reporte...
426•inigyou•1d ago•415 comments

Sensitive Info Goes into 'No Reply' Emails Constantly. This Guy Sees It All

https://www.wired.com/story/sensitive-info-goes-into-no-reply-emails-constantly-this-guy-sees-it-...
7•sbulaev•52m ago•0 comments

SupererDuperer

https://www.shirtpocket.com/blog/supererduperer
137•zdw•6d ago•29 comments

Managing AI Coding Costs at Scale

https://www.databricks.com/blog/managing-ai-coding-costs-scale
276•moonikakiss•20h ago•230 comments

The Nixpkgs core team has disbanded

https://discourse.nixos.org/t/the-nixpkgs-core-team-has-disbanded/79413
349•Meleagris•13h ago•171 comments

From One Seed to a Thousand Leaves – Merkle's Authentication Tree

https://0xkrt26.github.io/math_behind_security/2026/08/03/merkle-tree.html
33•denismenace•4d ago•3 comments

An all-sky map of half a million supermassive black holes

https://www.sdss.org/black-hole-mapper-release-20/
180•MarcoDewey•23h ago•40 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.