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OpenWrt One – Open Hardware Router

https://openwrt.org/toh/openwrt/one
390•peter_d_sherman•5h ago•159 comments

Fable turned remarkable into Tom Riddle's diary from Harry Potter

https://github.com/MaximeRivest/Riddle
45•modinfo•1h ago•13 comments

CoMaps – FOSS Offline Maps

https://www.comaps.app/
273•basilikum•5h ago•58 comments

Ternlight – 7 MB embedding model that runs in browser (WASM)

https://ternlight-demo.vercel.app/
31•soycaporal•59m ago•6 comments

GLM 5.2 and the coming AI margin collapse

https://martinalderson.com/posts/the-upcoming-ai-margin-collapse-part-1-glm-5-2/
94•martinald•3h ago•57 comments

A global workspace in language models

https://www.anthropic.com/research/global-workspace
242•in-silico•6h ago•79 comments

Pruning RAG context down to what the answer actually needs

https://www.kapa.ai/blog/how-we-prune-rag-context
38•emil_sorensen•4h ago•2 comments

A 2048-spin bulk acoustic wave Ising machine for number partitioning and Sudoku

https://arxiv.org/abs/2607.02112
12•Jimmc414•2d ago•0 comments

Full Writeup of the Windows GDID

https://github.com/SmtimesIWndr/gdid-reversal
25•typeofhuman•2h ago•9 comments

Linux on the Atari Jaguar

https://cakehonolulu.github.io/linux-for-jaguar/
94•cakehonolulu•5h ago•16 comments

Evaluation order and nontermination in query languages

https://www.rntz.net/post/2026-06-11-datalog-nontermination.html
16•luu•4d ago•0 comments

AI: The ROI Runway Could Be Long Outside the Tech Sector

https://www.apollo.com/wealth/insights-news/insights/daily-spark/ai-the-roi-runway-could-be-long-...
33•u1hcw9nx•2h ago•19 comments

Resetting Xbox

https://news.xbox.com/en-us/2026/07/06/resetting-xbox/
447•dijksterhuis•9h ago•408 comments

Stealth robotics startup (YC S26) is hiring principal engineers (Palo Alto)

1•david-venegas•7h ago

AMD Ryzen AI Halo – $4k AI Dev Kit

https://www.lttlabs.com/articles/2026/07/06/amd-ryzen-ai-halo
264•LabsLucas•9h ago•194 comments

Vessel

https://claude.ai/public/artifacts/2c647671-3f94-4d22-b3c1-f2b5a0e17b6e
11•schwarzarno•1h ago•2 comments

OfficeCLI: Office suite for AI agents to read and edit Microsoft Office files

https://github.com/iOfficeAI/OfficeCLI
111•maxloh•7h ago•33 comments

The LLVM Compiler Infrastructure

https://cacm.acm.org/federal-funding-of-academic-research/the-llvm-compiler-infrastructure/
30•tosh•2d ago•4 comments

OpenSSH 10.4/10.4p1 Released

https://www.openssh.org/txt/release-10.4
11•throw0101a•1h ago•3 comments

M/PC – A Concatenative OS

https://wiki.xxiivv.com/site/m_pc.html
27•caminanteblanco•3h ago•2 comments

Using precision editing to study human embryo development shows master gene

https://www.cam.ac.uk/research/news/first-use-of-precision-editing-to-study-human-embryo-developm...
37•gmays•3d ago•16 comments

Januscape: Guest-to-Host Escape in KVM/x86 [CVE-2026-53359]

https://github.com/V4bel/Januscape
68•Imustaskforhelp•6h ago•22 comments

Rotman Lens

https://en.wikipedia.org/wiki/Rotman_lens
66•thomasjb•5d ago•17 comments

Aluminum foil (2021)

https://dernocua.github.io/notes/aluminum-foil.html
228•firephox•10h ago•101 comments

Kani: A Model Checker for Rust

https://arxiv.org/abs/2607.01504
121•Jimmc414•8h ago•7 comments

Poly/ML – A Standard ML Implementation

https://github.com/polyml/polyml
7•Lyngbakr•1h ago•1 comments

Taiganet.com, Home of the WS4000 Simulator

https://www.taiganet.com/
12•Aloha•2h ago•2 comments

Road to Elm 1.0

https://elm-lang.org/news/faster-builds
295•wolfadex•12h ago•147 comments

Real-time map of Great Britain's rail network

https://www.map.signalbox.io
379•scrlk•14h ago•140 comments

Egypt Is Building a New Nile

https://www.theb1m.com/video/egypt-is-building-a-new-nile
118•geox•3d ago•66 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.