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LinkedIn CringeBot 3000

https://www.cringebot3000.com/
85•theanonymousone•2h ago•18 comments

The hardest working font in Manhattan (2025)

https://aresluna.org/the-hardest-working-font-in-manhattan/
192•dcminter•5d ago•30 comments

Compression is prediction

https://ngrok.com/blog/compression-is-prediction
503•nikolay•13h ago•211 comments

llama.cpp

https://llama.app
182•kristianpaul•3h ago•76 comments

A shell exclamation mark is not for yelling. Be lazy

https://refp.se/articles/your-shell-and-the-lazy-exclamation-mark
59•refp•5d ago•13 comments

WorldClaw Agentic 3D open-world generation at scale

https://tencent-hunyuan.github.io/Hunyuan3D-WorldClaw/
218•EwanG•10h ago•65 comments

Worms: The Future of Yesterday's Worms Today

https://worm.net/
11•doener•4d ago•1 comments

The lifesaving secret hidden inside a horseshoe crab's blue blood

https://whdh.com/news/the-lifesaving-secret-hidden-inside-a-horseshoe-crabs-blue-blood-and-the-ra...
79•andsoitis•7h ago•25 comments

Nvidia Nemotron 3.5 Lightning and NeMo Switchyard

https://blogs.nvidia.com/blog/nemotron-lightning-switchyard-rtx-dgx/
224•droidjj•13h ago•114 comments

The Human Is the Loop

https://brentfitzgerald.com/posts/the-human-is-the-loop/
93•burnto•6h ago•35 comments

Stealing Reasoning Traces from Proprietary LLM APIs

https://stolen-thoughts.com/
613•quantumgarbage•19h ago•276 comments

Mojo 1.0

https://www.modular.com/blog/modular-26-5-mojo-1-0-is-here
378•dayanruben•15h ago•190 comments

OpenAI’s head of ethics leaves less than a year after joining

https://www.ft.com/content/e49dfb75-f841-4466-a577-f7aaff8779a0
418•ilamont•20h ago•412 comments

DARPA heavy lift challenge ends with winner at a 3.84:1 payload to weight ratio

https://dronexl.co/2026/08/10/darpa-lift-challenge-results-avidrone/
33•daau•5h ago•14 comments

Grok Bot

https://x.ai/bot
272•rvz•15h ago•226 comments

Show HN: iPhone app takes simultaneous images from 2 lenses, fuses into 1 photo

https://photosynthesis.camera
275•sajomes•3d ago•252 comments

Making holograms with a pen plotter

https://blog.jordan.matelsky.com/Penplotter-holography/
155•DemiGuru•13h ago•16 comments

How to Install Python3.14 from source on Ubuntu 26.04

https://jamesoclaire.com/2026/08/06/how-to-install-python3-14-from-source-on-ubuntu-26-04/
6•ddxv•6d ago•4 comments

Retire the Abstractions

https://hazyresearch.stanford.edu/blog/2026-08-05-retire-the-abstractions
47•convexstrictly•6d ago•55 comments

Dropbox is an obvious PE Target?

https://s-1.vercel.app/posts/why-dropbox-is-a-obvious-pe-target/
52•Taikhoom10•4h ago•85 comments

Flatworms, Ion Channels, and Burning Mouths

https://www.science.org/content/blog-post/flatworms-ion-channels-and-burning-mouths
30•surprisetalk•1d ago•1 comments

Show HN: Tamron Lens Utility Alternative on Linux

https://github.com/yikerman/tamron-lens-control
64•xiaoyu2006•4d ago•2 comments

Neutrinos from Deep Inside Earth Provide a New Picture of the Mantle

https://www.quantamagazine.org/neutrinos-from-deep-inside-earth-provide-a-new-picture-of-the-mant...
41•rbanffy•19h ago•2 comments

Show HN: Line9 – A Mermaid rendering engine with its own layout

https://line9.ai/diagram
67•jumpalongjim•5d ago•18 comments

London Underground begins scanning passengers' faces

https://www.btp.police.uk/news/btp/news/england/btp-expands-live-facial-recognition-lfr-trial-int...
323•BlueBerry2001•23h ago•360 comments

Jolt: Clojure compiler implemented with Chez Scheme

https://jolt-lang.github.io
194•mark_l_watson•3d ago•65 comments

England set to be one of the first countries to eliminate hepatitis C

https://www.bbc.com/news/articles/c75gk620r22o
532•stevekemp•20h ago•378 comments

Go is an ideal language for AI-assisted software engineering

https://developers.googleblog.com/why-go-is-an-ideal-language-for-ai-assisted-software-engineering/
365•0xedb•15h ago•415 comments

How we used to get jobs: A newspaper classifieds story

https://ironicsans.ghost.io/how-we-used-to-get-jobs/
146•speckx•14h ago•106 comments

Manus will return to operating as an independent company

https://manus.im/blog/a-note-to-our-users
156•thm•18h ago•79 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.