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Einstein's relativity rules chemical bonds in heavy elements, new research shows

https://www.brown.edu/news/2026-07-09/chemical-bonds-relativity
195•hhs•8h ago•67 comments

The Vintage Beauty of Soviet Control Rooms

https://designyoutrust.com/2018/01/vintage-beauty-soviet-control-rooms/
18•mvdtnz•1h ago•5 comments

QuadRF can spot drones and see WiFi through my wall

https://www.jeffgeerling.com/blog/2026/quadrf-can-spot-drones-and-see-wifi-through-my-wall/
532•speckx•14h ago•185 comments

Apple sues OpenAI, accuses ex-employees of stealing trade secrets

https://9to5mac.com/2026/07/10/apple-sues-openai-trade-secret-theft/
910•stock_toaster•10h ago•453 comments

An iroh powered smart fan

https://www.iroh.computer/blog/an-iroh-powered-smart-fan
80•surprisetalk•3d ago•10 comments

What's the best way to do authentication in modern applications

https://neciudan.dev/most-secure-way-to-store-auth-token
3•freediver•47m ago•0 comments

An update on residential proxies and the scraper situation

https://lwn.net/SubscriberLink/1080822/990a8a5e2d379085/
162•chmaynard•11h ago•154 comments

SpaceX wants to launch 100k more Starlink satellites for 100x the bandwidth

https://www.zdnet.com/home-and-office/networking/spacex-wants-to-launch-100000-more-starlink-sate...
152•CrankyBear•13h ago•446 comments

GPT-5.6 Sol Ultra produces proof of the Cycle Double Cover Conjecture [pdf]

https://cdn.openai.com/pdf/04d1d1e4-bc75-476a-97cf-49055cd98d31/cdc_proof.pdf
424•scrlk•12h ago•331 comments

AI 2040: Plan A

https://ai-2040.com/
220•kschaul•1d ago•225 comments

Good Tools Are Invisible

https://www.gingerbill.org/article/2026/07/10/good-tools-are-invisible/
398•theanonymousone•20h ago•189 comments

Combustion engine web-based simulator

https://combustionlab.net
153•mytuny•5d ago•64 comments

Late Bronze Age Collapse

https://acoup.blog/2026/01/30/collections-the-late-bronze-age-collapse-a-very-brief-introduction/
354•dmonay•18h ago•241 comments

The tech of 'Terminator 2' – an oral history (2017)

https://vfxblog.com/2017/08/23/the-tech-of-terminator-2-an-oral-history/
206•markus_zhang•14h ago•73 comments

Silent speech with ultrasound

https://alephneuro.com/blog/silent-speech
38•chrwn•3d ago•11 comments

Inference Optimization for MiMo v2.5: Pushing Hybrid SWA Efficiency to the Limit

https://mimo.xiaomi.com/blog/mimo-v2-5-inference
65•theanonymousone•4d ago•26 comments

Computation as a universal and fundamental concept

https://ergo.org/courses/computation-as-a-universal-and-fundamental-concept
123•simonpure•15h ago•85 comments

The footgun of right-to-left decorative characters

https://blog.alexbeals.com/posts/the-footgun-of-right-to-left-decorative-characters
33•dado3212•4d ago•18 comments

New York City to ban deceptive subscription practices

https://www.theguardian.com/us-news/2026/jul/10/new-york-city-deceptive-subscriptions-ban
492•randycupertino•12h ago•246 comments

After 7 years in production, Scarf has reluctantly moved away from Haskell

https://avi.press/posts/2026-07-10-after-7-years-in-production-scarf-has-reluctantly-moved-away-f...
114•aviaviavi•17h ago•138 comments

Alternate clock designs and time systems

https://serialc.github.io/altClocks/
131•ethanpil•4d ago•71 comments

The Lindy effect in software

https://www.clemsau.com/posts/the-lindy-effect-in-software/
8•ankitg12•3d ago•9 comments

Snails' teeth beats spider silk as nature's strongest material (2015)

https://www.smithsonianmag.com/smart-news/spider-silk-loses-top-spot-natures-strongest-material-s...
176•simonebrunozzi•14h ago•139 comments

GhostLock, a stack-UAF that has existed in ALL Linux distributions for 15 years

https://nebusec.ai/research/ionstack-part-2/
70•djfergus•10h ago•15 comments

Preemption is GC for memory reordering (2019)

https://pvk.ca/Blog/2019/01/09/preemption-is-gc-for-memory-reordering/
26•mpweiher•2d ago•6 comments

Moss (YC F25) Is Hiring

https://www.ycombinator.com/companies/moss/jobs/52LnqLQ-software-engineer-sdk
1•srimalireddi•9h ago

A love letter to flashcards

https://lesleylai.info/en/flashcards/
146•surprisetalk•15h ago•92 comments

War Atlas: An interactive cartography of every named war in human history

https://waratlas.org
142•NaOH•13h ago•60 comments

Lost city discovered beneath Egypt's desert with ancient church

https://www.dailymail.com/sciencetech/article-15956159/Incredible-lost-city-discovered-Egypts-des...
172•Bender•4d ago•95 comments

Show HN: Getting GLM 5.2 running on my slow computer

https://github.com/JustVugg/colibri
846•vforno•1d ago•210 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.