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The NASA/ESA Mars Sample Return mission has been canceled

https://www.science.org/content/article/nasa-s-mars-sample-return-mission-dead
105•Muhammad523•1h ago•51 comments

Xiaomi MiMo v2.6

https://mimo.xiaomi.com/mimo-v2-6
23•volf_•14m ago•2 comments

What Sun got wrong

https://bcantrill.dtrace.org/2026/09/20/what-sun-got-wrong/
401•chmaynard•6h ago•221 comments

Attention is all you have

https://alicegg.tech/2026/09/21/attention
408•zer0tonin•5h ago•121 comments

Why does mathmain need an encrypted loader?

https://safedep.io/mathmain-encrypted-loader/
68•abhisek•1h ago•14 comments

AI coding has made CI a bottleneck, so we reworked ours to keep up

https://linear.app/now/ci-bottleneck-reworked
28•julian_digital•1h ago•14 comments

In Search of a Compositional Theory of Self-Stabilization

http://muratbuffalo.blogspot.com/2026/09/in-search-of-compositional-theory-of.html
22•matt_d•1h ago•0 comments

Turn off and restrict access to Apple Intelligence features on Mac

https://support.apple.com/guide/mac-help/turn-restrict-access-apple-intelligence-mchlb2e44f94/mac
147•alwillis•2h ago•92 comments

The Advisory Group on Mathematics and Artificial Intelligence

https://terrytao.wordpress.com/2026/09/21/advisory-group-on-mathematics-and-artificial-intelligence/
24•digital55•1h ago•9 comments

Grok 4.7

https://x.ai/news/grok-4-7
380•meetpateltech•4h ago•322 comments

Apple Copland D11E4 Booting in the Browser

https://www.pagetable.com/300
21•luu•2h ago•1 comments

Frontier AI on Your Own Hardware

https://timdettmers.com/2026/09/21/dlab-open-source-week/
11•pretext•1h ago•1 comments

US halts flights at busy East Coast airports, says fiber line cut

https://www.reuters.com/world/us/faa-halts-some-us-east-coast-flights-due-communication-issues-20...
105•allanbreyes•1h ago•64 comments

Advisory Group on Mathematics and Artificial Intelligence

https://openai.com/index/advisory-group-on-mathematics-and-ai/
50•js73js8•2h ago•35 comments

A restored PDP-11/83 serving this page on 211BSD Unix

http://pdp1173.com/
71•davepl•4h ago•26 comments

This Digital Radio Gets Messages to the World’s Remotest Locations

https://spectrum.ieee.org/hermes-shortwave-radio-digital-data
55•SamuraiLion•4h ago•30 comments

Kev: Tiny Jev-like family of decision models built on top of Qwen3.5

https://github.com/jaredpalmer/kev/tree/main
347•tosh•13h ago•162 comments

Python Workers are now generally available

https://blog.cloudflare.com/python-workers-ga/
135•torutofu•6h ago•18 comments

Avoiding the babbling-idiot failure in a time-triggered communication system

https://ieeexplore.ieee.org/document/689473
17•ronfriedhaber•2h ago•3 comments

How do Traffic Signals Work (2019)

https://practical.engineering/blog/2019/5/11/how-do-traffic-signals-work
39•at1as•4h ago•25 comments

Transformers Explained Visually

https://poloclub.github.io/transformer-explainer/
4•aray07•42m ago•0 comments

Fable 5 – Median thinking declined in August

https://twitter.com/Lon/status/2101793422487204027
267•espeed•4h ago•182 comments

Grim Fandango Puzzle Document (1996) [pdf]

http://gameshelf.jmac.org/2008/11/13/GrimPuzzleDoc_small.pdf
344•kelseyfrog•14h ago•81 comments

M5 Ultra Mac Studio Review

https://www.macstories.net/stories/m5-ultra-mac-studio-review-the-dream-mac-for-local-ai-agents/
197•piotrgrabowski•6h ago•182 comments

RoboHarm: Do Frontier Robot Policies Refuse Unsafe Instructions?

https://robocurve.org/roboharm/
4•msadowski•1h ago•0 comments

macOS 27: Workaround to avoid downloading AI models and save storage

https://www.reddit.com/r/MacOSBeta/comments/1vlnf13/workaround_to_avoid_downloading_ai_models_and/
163•ano-ther•6h ago•77 comments

Noodle Gallery- Open-source, self-hosted alternative to Google Photos and Immich

https://digitalescapetools.com/tools/noodlegallery.html
38•xabd•6h ago•27 comments

Heretic removes restrictions from language models

https://heretic-project.org/
202•Bluestein•15h ago•87 comments

Raspberry Pi blocks changing RAM chips

https://forums.raspberrypi.com/viewtopic.php?p=2380887#p2380888
193•edandersen•7h ago•155 comments

Wall Street Is Growing Skeptical of the Data Center Boom

https://www.nytimes.com/2026/09/21/business/ai-data-center-ipos.html
38•mikhael•1h ago•45 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.