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Don't Wordle

https://dontwordle.com/
73•Hbruz0•1h ago•28 comments

France's tax agency got hacked (in French)

https://www.cybernetica.fr/piratage-des-impots-comment-en-est-on-arrive-la/
18•zakxxi•18m ago•3 comments

HelloAssembly The smallest possible complete Windows application

https://github.com/PlummersSoftwareLLC/HelloAssembly
18•Bluestein•1h ago•12 comments

iCloud+ Hide My Email addresses will remain on icloud.com

https://developer.apple.com/news/?id=1ptvdtcm
519•K7PJP•14h ago•157 comments

MS Paint and Photos inivisibly watermark even locally generated output with GUID

https://xusheng.dev/posts/reversing/mspaint_invisible_watermark/main/
765•ComputerGuru•21h ago•375 comments

Xiaomi: New CPU matches Apple cores single threaded, much faster multithreaded

https://twitter.com/lemire/status/2091894299289874926
917•tosh•21h ago•657 comments

How Universities Should Prepare Founders

https://paulgraham.com/prepare.html
171•gmays•11h ago•200 comments

SiFive's First Server Platform

https://chipsandcheese.com/p/sifives-first-server-platform
83•geerlingguy•9h ago•22 comments

How Europe is killing makers and micro-entrepreneurs

https://lectronz.com/u/lectronz/articles/how-europe-is-killing-makers-and-micro-entrepreneurs
1471•l-one-lone•23h ago•923 comments

The entire city of San Francisco as a video game

https://sf.thijs.gg/
524•centrosphere•19h ago•151 comments

Moon (2024)

https://ciechanow.ski/moon/
220•simonebrunozzi•14h ago•38 comments

What's new in Emacs 31.1

https://www.masteringemacs.org/article/whats-new-in-emacs-311
194•geospeck•23h ago•44 comments

Bookshelf – Self-hosted eBook library that runs on object storage

https://github.com/murerkinn/bookshelf
125•arbayi•14h ago•47 comments

Headlong: A Microharness for Persistent Agents

https://www.laude.org/updates/headlong-a-microharness-for-persistent-agents
91•lbw1215•9h ago•37 comments

Where did all the public bathrooms go?

https://daily.jstor.org/where-did-all-the-public-bathrooms-go/
279•herbertl•19h ago•598 comments

Vintage Artificial Intelligence: Before It Got Awkward

https://blog.archive.org/2026/08/16/vintage-artificial-intelligence-before-it-got-awkward/
122•signor_bosco•16h ago•23 comments

Peppermint oil reduces blood pressure by 8.48 mmHg in small study

https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0344538
185•brandonb•22h ago•88 comments

Walgit – a Git server that is one binary in front of an object store

https://github.com/tobi/walgit
120•matallo•22h ago•36 comments

Training AI to Paint with Code

https://surya.website/rling-qwen-to-paint-with-code
129•Tiberium•1d ago•15 comments

Credit Card Rewards Became a $9.2B Wealth Transfer

https://www.library.hbs.edu/working-knowledge/how-credit-card-rewards-became-multibillion-dollar-...
106•conbrian•1h ago•178 comments

OpenAI restores 5-hour Codex and Work limits for ChatGPT Plus users

https://9to5mac.com/2026/08/24/openai-restores-5-hour-codex-and-work-limits-for-chatgpt-plus-users/
6•MC995•30m ago•1 comments

Show HN: I wrote a BASIC interpreter that boots on UEFI machines

https://tarjan.itch.io/thoreaubasic
83•Gorsefound•1d ago•30 comments

Jabber/XMPP: 25 Years of Digital Independence

https://gultsch.de/posts/25-years-of-digital-independence/
244•inputmice•21h ago•143 comments

Crafting QR Codes: A deep dive into QR code art (2024)

https://kylezhe.ng/writes/crafting-qr-codes
103•subset•22h ago•10 comments

Was modern art a CIA psy-op? (2020)

https://daily.jstor.org/was-modern-art-really-a-cia-psy-op/
107•neom•11h ago•185 comments

Quantum battery upends the rules of charging

https://www.bbc.com/future/article/20260824-this-quantum-battery-charges-faster-the-larger-it-gets
44•reconnecting•2h ago•50 comments

Nostr is an inclusive communication commons

https://nostr.org/
174•Bluestein•2d ago•117 comments

LLMs could control their host machines by exploiting inference engines

https://boydkane.com/essays/llms-could-control-their-host-machines-by-exploiting-inference-engines
166•zdw•18h ago•81 comments

Autostep (YC P26) Is Hiring AI/Fullstack Engineers and a Chief of Staff

https://app.dover.com/Autostep/careers/e9510e3b-a854-4e48-9e5d-c89796acaed4
1•adawg4•19h ago

I were 17, I'd learn how to build LLMs from scratch

https://twitter.com/paulg/status/2091544343589060625
567•bilsbie•1d ago•645 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.