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AI is forcing us to pay off 40 years of technical debt

https://spectrum.ieee.org/ai-in-cybersecurity-php2shell-vulnerability
330•pseudolus•2h ago•220 comments

Nvidia RTX Spark encrypted firmware slows inference speed to 35% on Linux

https://www.mindstudio.ai/blog/linux-nvidia-rtx-spark-laptop
288•novaRom•5h ago•149 comments

Verification Is Not Knowledge: Science needs more than answers

https://blog.cosmos-institute.org/p/verification-is-not-knowledge
121•ersinesen•5h ago•72 comments

Incident with Pull Requests, Git Operations and Issues

https://www.githubstatus.com/incidents/smtdswd1h2w4
155•kevcampb•4h ago•78 comments

Tell HN: Gemini trains on chat history, even for subscribers (personal accounts)

271•jameslk•4h ago•66 comments

Jelly Sheet

https://mrdoob.github.io/codevember-2026/01/
334•memalign•10h ago•87 comments

Kitty 0.50

https://sw.kovidgoyal.net/kitty/changelog/#
247•porridgeraisin•5h ago•156 comments

North Korean fake job interview led to $6.3B Binance heist

https://www.theregister.com/security/2026/11/03/north-korean-fake-job-interview-led-to-63b-binanc...
32•smalltech•29m ago•15 comments

Jailbreaking my car's navigation system just so I can change the time

https://blog.nns.ee/2026/11/02/renault-hack/
889•xx_ns•1d ago•334 comments

The lost malloc()

https://napcakes.nekoweb.org/posts/malloc/
95•matt_d•7h ago•31 comments

Stringman, an $800 open-source room scale gripper robot

https://neufangled.com/
687•nharada•21h ago•212 comments

The Internals of PostgreSQL

https://www.interdb.jp/pg/index.html
319•ibobev•16h ago•23 comments

US voters roundly reject data centers in ballot measures

https://www.semafor.com/article/11/04/2026/us-voters-roundly-reject-data-centers-in-ballot-measures
9•justonepost2•12m ago•1 comments

Geoffrey Hinton: it might turn out we were better off without AI

https://www.theguardian.com/uk-news/2026/nov/03/ai-godfather-geoffrey-hinton-better-off-without-ai
200•alkyon•4h ago•153 comments

Synaptics Appears to Use Legal Threats to Block Open-Source DisplayLink Driver

https://www.phoronix.com/news/Synaptics-Blocks-Vino-Driver
63•snvzz•3h ago•22 comments

Show HN: Uncracked City, detective game where you question LLM suspects that lie

https://uncracked.city
94•passkey1510•17h ago•46 comments

Show HN: HackerTV – HN's most-recommended Youtube videos as 24/7 TV channels

https://hackertv.org
394•dsalzman•1d ago•75 comments

Fujifilm to boost tape production 5x as AI fuels archiving demand

https://arstechnica.com/gadgets/2026/10/fujifilm-to-boost-tape-production-5x-as-ai-fuels-archivin...
505•bookofjoe•2d ago•216 comments

Giant canyon on Mars is still tectonically active

https://lamont.columbia.edu/news/giant-canyon-mars-still-tectonically-active-today
117•gmays•12h ago•24 comments

Distinct cellular and genetic differences in colorectal cancer in young patients

https://www.dana-farber.org/newsroom/news-releases/2026/study-reveals-distinct-cellular-and-genet...
96•gmays•11h ago•36 comments

C++26 Disapproved

https://andreasfertig.com/blog/2026/11/cpp26-dis-failed-how-does-cpp-survive/
367•thatxliner•14h ago•266 comments

Japan's Jimi 'Mundane' Halloween Costumes of 2026

https://spoon-tamago.com/japan-jimi-mundane-halloween-costumes-2026/
217•zdw•2d ago•34 comments

Jaron Lanier on parallels between AI and social media

https://www.youtube.com/watch?v=WxaRn8kX2eI
8•musha68k•29m ago•0 comments

Qwen 3.8 27B on my laptop can interpret model weights, too

https://simonwillison.net/2026/Nov/3/qwen-can-interpret-model-weights/
679•theanonymousone•20h ago•196 comments

Arrows to arrows, categories to queries (2025)

https://reasonablypolymorphic.com/blog/arrows-to-arrows/
67•firstbase•11h ago•6 comments

How I use AI (Oct 2026)

https://ben.stolovitz.com/posts/how-use-ai-oct-2026/
218•citelao•20h ago•253 comments

Postman silently auto-installs AI plugins and attempts to share all API data

https://github.com/postmanlabs/postman-app-support/issues/14370
1402•sidgarimella•21h ago•462 comments

There is no posttraining data commons

https://openathena.ai/blog/there-is-no-posttraining-data-commons/
95•lukasschwab•23h ago•24 comments

Safari introduces Adaptive Dark Mode in 27.3

https://webkit.org/blog/18541/introducing-adaptive-dark-mode/
470•paddingtone•17h ago•244 comments

Milkman – The Better Alternative to Postman

https://milkman.dev/
69•jplunien•5h ago•70 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.