frontpage.
newsnewestaskshowjobs

Open Source @Github

fp.

We should be more ambitious with the software we build

https://danluu.com/ambitious/
351•ltratt•10h ago•299 comments

Cerebras Deploys Trillion-Parameter AI Models

https://www.cerebras.ai/blog/how-we-deploy-trillion-parameter-frontier-models-on-cerebras
122•gmays•6h ago•41 comments

How Japanese Dried Bonito Is Made

https://kottke.org/26/10/how-japanese-dried-bonito-is-made
17•bookofjoe•2d ago•2 comments

The Goose Programming Language

https://aardappel.github.io/goose/
357•bobbydigitales•12h ago•237 comments

SpeedCrunch 1.1

https://www.speedcrunch.org/
129•LordNibbler•12h ago•23 comments

Small Programs and Languages

https://ratfactor.com/cards/pl-small
94•andsoitis•10h ago•7 comments

Why Gopher in 2026?

https://gopher.muffinlabs.com/sdf.org/users/nervtoji/phlog/001.txt
69•andsoitis•8h ago•20 comments

America has lost 200k of jobs in media, film and the arts. How much is AI?

https://www.apricitas.io/p/ai-and-the-fall-of-the-creative-class
324•gnabgib•8h ago•319 comments

I Built a Stereo Vision Board for Hardware Hackers

https://rootkitlabs.com/2026/10/06/i-built-a-stereo-vision-board-for-hardware-hackers/
64•machinehum•4d ago•10 comments

I don't understand quantum physics (2018)

https://www.southampton.ac.uk/~doug/quantum_physics/index.html
307•rramadass•22h ago•243 comments

FreeDNS

https://freedns.afraid.org/
282•esher•16h ago•73 comments

Social dynamics of toxic metal industry in medieval Europe

https://www.cambridge.org/core/journals/antiquity/article/social-dynamics-of-toxic-metal-industry...
37•XzetaU8•4d ago•14 comments

Pragtical v3.14 Lua-based text editor adds menus, floating views, and sessions

https://pragtical.dev/blog/pragtical-v3140-release
12•rd07•4d ago•1 comments

A story of a Figma bug that wasn't a bug at all (2021)

https://aresluna.org/this-is-a-story-of-a-figma-bug/
25•jllyhill•3d ago•1 comments

The Importance of Limitations for Creativity and Learning (2023)

https://ratfactor.com/cards/limitations
59•andsoitis•10h ago•15 comments

Node2Shell evolves to HTTP2Shell, blast radius affects many HTTP libs and apps

https://www.aikido.dev/blog/python-packages-vulnerable-node2shell-brotli-cve-2026-111497
300•theanonymousone•23h ago•151 comments

Local Wikipedia: Wikipedia, but only for things a half hour walk from you

https://edjefferson.com/localwiki/
1578•sohkamyung•2d ago•246 comments

In Rainbows

https://hitogata.neocities.org/Rainbows
22•surprisetalk•2d ago•4 comments

The St. Helena 5 pence coin shows Jonathan, a roughly 190 year old tortoise

https://de.numista.com/9866
112•schleck8•15h ago•35 comments

Show HN: Steal My Bitcoin

https://stealmybitcoin.com/
462•cloudlandsdev•11h ago•286 comments

Neural chip decodes interactions between brain regions

https://actu.epfl.ch/news/neural-chip-decodes-interactions-between-brain-r-2/
102•giuliomagnifico•15h ago•37 comments

Roku developer repositories moved from GitHub to GitLab

https://blog.roku.com/developer/gitlab-move
284•cxr•15h ago•193 comments

GPU-unlock: FP/BF16 instruction issue rate on Nvidia 3000's cards

https://github.com/Zagitta/gpu-unlock
230•fragebogen•21h ago•71 comments

Five Qwen3.8-27B models match Fable 5 Using GVS5H Harness

https://github.com/slee-persis/GVS5H
146•rzk•4h ago•48 comments

Bbtree: Fastest Ordered Map

https://bbtree.xiangpeng.systems/post/
99•aoli-al•13h ago•10 comments

Physicists trap a single antimatter particle for a month

https://www.scientificamerican.com/article/physicists-trap-a-single-antimatter-particle-for-a-month/
302•mooreds•3d ago•86 comments

How close can pure functional programming get to C?

https://rtfeldman.com/fp-vs-c
265•stmonty•1d ago•93 comments

New Open-Source Cybersecurity Platform Uses AI Agents to Hunt Threats

https://medium.com/@ai_news/argus-might-be-one-of-the-most-impressive-open-source-cybersecurity-p...
16•is_dev_active•46m ago•2 comments

Why is AI generated language so hard to understand?

https://arxiv.org/abs/2610.29162
186•canjobear•13h ago•164 comments

A practical guide to AI image generation, from diffusion to agents

https://danielball.com/notes/ai_image_generation.html
255•westsmith•4d ago•83 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.