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How Delhi cut electricity loss from 50 to 5 percent

https://spectrum.ieee.org/delhi-electricity-loss
224•rbanffy•3h ago•140 comments

AI companies leak data to advertisers [pdf]

https://jorgegarciaherrero.com/wp-content/interactivos/20260916-Prompt-like-a-butterfly-sting-lik...
340•damaru2•6h ago•110 comments

Jeeves. Reasoning improves Jev-like decision models

https://github.com/PostHog/jeeves
152•nicowaltz•4h ago•66 comments

Without the Hot Air

https://www.withouthotair.com/
73•0sake_rs•3h ago•39 comments

You are no longer invited to dinner

https://www.derekthompson.org/p/the-death-of-the-american-host
453•barry-cotter•4h ago•396 comments

Using any C++ library in Godot

https://blog.conan.io/cpp/conan/gamedev/godot/cmake/2026/09/29/Using-Any-Cpp-Library-In-Godot.html
123•czoido•7h ago•33 comments

Digital Audio on the ZX Spectrum's 1-Bit Beeper

https://bumbershootsoft.wordpress.com/2026/09/26/digital-audio-on-the-zx-spectrums-1-bit-beeper/
29•ibobev•1d ago•9 comments

What makes software development engineering

https://parksb.github.io/en/article/44.html
33•ibobev•2h ago•39 comments

Walking Men

https://bookofjoe2.blogspot.com/2026/09/walking-men.html
5•surprisetalk•1d ago•0 comments

Why Doesn't Anyone Want to Fix One of America's Scariest Roads?

https://www.newyorker.com/magazine/2026/10/05/why-doesnt-anyone-want-to-fix-one-of-americas-scari...
13•adrianhon•1h ago•11 comments

Google ending ChromeOS support two years early

https://www.theregister.com/os-platforms/2026/09/29/google-ending-chromeos-support-two-years-earl...
61•rbanffy•1h ago•28 comments

macOS Golden Gate Is a Buggy Mess

https://www.squareorbits.com/blog/2026/09/macos-golden-gate-is-a-buggy-mess/
202•SquareOrbits•1h ago•133 comments

Phyllotaxis: An audio-reactive LED display

https://jagi.studio/posts/phyllotaxis/
206•evakhoury•23h ago•31 comments

1 in 8 cancer cases worldwide are caused by infections, study finds

https://www.cbc.ca/lite/story/9.7361622
83•colinprince•3h ago•53 comments

Show HN: Jevstiller – Distill Jev into a local model, with a disagreement bound

https://jevstiller.pages.dev/posts/the-guarantee/
18•tgluck•3h ago•3 comments

Booted up in 1993, this server still runs – but not for much longer (2017)

https://www.computerworld.com/article/1673071/booted-up-in-1993-this-server-still-runs-but-not-fo...
139•doener•1d ago•72 comments

Show HN: Raven – The harness of harnesses, built for RSI

https://github.com/EverMind-AI/Raven
44•cyfyifanchen•6h ago•34 comments

500k facial scans at UK stations yield no arrests, 1 false positive

https://www.theguardian.com/technology/2026/sep/29/trial-live-facial-recognition-cameras-london-s...
321•ilamont•4h ago•211 comments

California farmers are struggling to sell grapes as demand for wine drops

https://www.kqed.org/news/12101534/california-farmers-are-struggling-to-sell-grapes-as-demand-for...
319•randycupertino•20h ago•767 comments

Claude partial outage

https://status.claude.com/incidents/4xvtc2gnq73l
154•sidcool•1h ago•118 comments

The systems that no one will test

https://blog.christianperone.com/2026/09/the-systems-that-no-one-will-test/
119•perone•1d ago•53 comments

Georeferencing Chernarus and visiting in real life (2021)

https://longcreek.me/blog/2021/chernarus-irl
8•carlos-menezes•1d ago•0 comments

Software occlusion culling in Block Game

https://enikofox.com/posts/software-rendered-occlusion-culling-in-block-game/
70•airhangerf15•2d ago•5 comments

The Beatles have permeated research papers across academic disciplines

https://phys.org/news/2026-09-beatles-permeated-papers-academic-disciplines.html
18•pseudolus•2d ago•12 comments

Pirating the Pirates

https://mubi.com/en/notebook/posts/pirating-the-pirates
659•piotrgrabowski•1d ago•339 comments

Four CHI '26 papers I wish I wrote

https://countingfromzero.blog/2026/04/24/four-chi-26-papers-i-wish-i-wrote/
33•luu•2d ago•8 comments

Optimizing x264 settings and per-title ladders

https://streaminglearningcenter.com/articles/optimizing-x264-settings-and-per-title-ladders.html
21•dabinat•2d ago•5 comments

Tank Body Problem

http://www.jimsitu.com
164•jimbooonooo•15h ago•35 comments

MicroLLM Lab – Try 7 tiny LLM's in the browser

https://stateofutopia.com/experiments/microllmlab/
265•logicallee•21h ago•98 comments

ESP32S3 cluster running 1.58-bit (BitNet) Language model

https://github.com/Low-Zi-Hong/ESP32s3-LLM-Cluster
136•nkko•18h ago•30 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.