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Payments Canada announces launch of Canada's Real-Time Rail (RTR) payment system

https://www.payments.ca/canada-launches-real-time-rail-bringing-247-payment-infrastructure-nation...
374•ocd•4h ago•202 comments

Claude Fable 5.2 and Mythos 5.2

https://www.anthropic.com/claude-fable-and-mythos-5-2
566•meetpateltech•1h ago•273 comments

USPS now offers official ZIP Code boundary polygons

https://postalpro.usps.com/zcb
37•munro•39m ago•17 comments

Our Smallest, Most Efficient Model: Muse Ember

https://research.meta.ai/blog/muse-ember
144•dvaplima•2h ago•62 comments

CUI – Native UI components for C

https://yappologistic.github.io/CUI/
48•hilti•1h ago•11 comments

E-means: 10x faster k-means at equal loss

https://e-means.github.io/
75•porridgeraisin•1h ago•3 comments

Infineon marks innovation milestone with 300mm power silicon carbide wafer

https://www.infineon.com/press-release/2026/infpr202611-028
52•sshah03•2h ago•19 comments

DeepX claims inference up to 100B parameters at less than 5 W

https://www.eetimes.com/deepx-tapes-out-second-gen-chip-projects-6-7x-performance-gain-with-lpddr...
82•giuliomagnifico•2h ago•9 comments

Fold Epic Paper Airplanes

https://www.foldableflight.com
697•vismit2000•8h ago•124 comments

Magenta solar panels may be agrivoltaics' cleverest trick yet

https://www.anthropocenemagazine.org/2026/10/magenta-solar-panels-may-be-agrivoltaics-cleverest-t...
184•speckx•6h ago•100 comments

Show HN: MeowDisplay Is iPhone Mirroring, but in Reverse

https://meowdisplay.app/
42•raiseCatError•1h ago•15 comments

Show HN: Every satellite that passed over any place this week, and its photos

https://www.watched.earth
83•a585gupt•2h ago•19 comments

Y/N (YC S23) is hiring a growth lead to distribute superhuman A.I. storytelling

https://www.ycombinator.com/companies/yn/jobs/TjDn3YZ-founding-growth-marketer
1•gabrielbirnbaum•3h ago

A primer on GPUs and kernel optimization

https://www.nabo.dev/blogs/kernel-primer
29•nomi_uw•3d ago•0 comments

On Being an Engineer in 2026

https://twitter.com/shaharglazner/status/2119796029256032278
27•talboren•5h ago•17 comments

Is Opus 5.5 nerfed? Thinking patterns changed on November 3

https://twitter.com/shanemelaugh/status/2119192075505893695
589•rzk•13h ago•408 comments

November 2026 Claude Fable 5.2 Scores 65 on Artificial Analysis, Highest So Far

https://artificialanalysis.ai/models/claude-fable-5-2
5•theanonymousone•33m ago•0 comments

Deuterium's Impact on OLED Displays (2024)

https://www.oled-info.com/deuteriums-impact-oled-displays
10•zeristor•1d ago•4 comments

Show HN: DBDelve – Open-Source DB Client Made with Rust and GPUI

66•shayan_abbas•4h ago•22 comments

What is malloc doing, anyway?

https://benmandrew.com/articles/what-is-malloc-doing-anyway
180•benmandrew•9h ago•41 comments

When will this stop? The Raspberry Pi 5 16GB SBC now sells for $385

https://www.cnx-software.com/2026/11/03/when-will-this-stop-the-raspberry-pi-5-16gb-sbc-now-sells...
197•pera•2h ago•164 comments

Iran was behind cyber-attack on French supermarket freezers, Paris says

https://www.theguardian.com/world/2026/nov/09/france-blames-irans-revolutionary-guards-for-cyber-...
35•disenchanted•1h ago•24 comments

Show HN: Recalc – Spreadsheet where cells can be Claude Code or Codex terminals

https://github.com/sshah03/recalc
13•sshah03•1d ago•1 comments

Too many men suffering in silence, national health report finds (Canada)

https://www.westcentralonline.com/articles/too-many-men-suffering-in-silence-national-health-repo...
277•nosecreek•2h ago•309 comments

Pigshell: Unix the Web

http://pigshell.com/v/0.6.4/
46•pbohun•5h ago•16 comments

Zebkit – Chromium as an embeddable library

https://github.com/ikey4u/zebkit
100•Riiiiichard•6h ago•36 comments

Going back two years on Hacker News is like entering another, better universe

https://news.ycombinator.com/front?day=2024-11-08
223•EmX_3000•3h ago•134 comments

Cryptocurrency lawsuit: Ethereum Foundation required "suicide pledge"

https://www.denverpost.com/2026/11/06/ethereum-suicide-pledge-lawsuit-mandate-boulder-crypto/
142•ceejayoz•5h ago•145 comments

Google Gemini routes personal Drive files and emails to human annotators

https://github.com/thisisme6598/gemini_files/
18•gf74918•2h ago•4 comments

Try Gleam

https://nchagnet.eu/blog/you-should-try-gleam
97•nchagnet•8h ago•100 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.