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GentleOS – Classic operating system with a lovely retro GUI

https://github.com/luke8086/gentleos32
151•tekkertje•2h ago•35 comments

Microsoft's open source tools were hacked to steal passwords of AI developers

https://techcrunch.com/2026/06/08/microsofts-open-source-tools-were-hacked-to-steal-passwords-of-...
278•raffael_de•5h ago•108 comments

Making Graphics Like it's 1993

https://staniks.github.io/articles/catlantean-3d-blog-1/
84•sklopec•2h ago•14 comments

OpenCV 5 Is Here: The Biggest Leap in Years for Computer Vision

https://opencv.org/opencv-5/
333•ternaus•3d ago•52 comments

Forever Young: how one molecule can lock plants in a youthful state (2025)

https://omnia.sas.upenn.edu/story/biologist-scott-poethig-plants-never-age
65•bryanrasmussen•4h ago•27 comments

Apple reveals new AI architecture built around Google Gemini models

https://www.macrumors.com/2026/06/08/apple-reveals-new-ai-architecture/
636•unclefuzzy•17h ago•482 comments

An introduction to functional analysis for science and engineering

https://arxiv.org/abs/1904.02539
25•Anon84•1d ago•3 comments

Emerge Career (YC S22) Is Hiring a Founding Growth Marketer

https://www.ycombinator.com/companies/emerge-career/jobs/v0S1AEG-founding-growth-marketer
1•gabesaruhashi•45m ago

Eagle Computer: The rise and fall of an early PC clone

https://dfarq.homeip.net/eagle-computer-the-rise-and-fall-of-an-early-pc-clone/
22•giuliomagnifico•3h ago•3 comments

Thi.ng – open-source building blocks for computational design and art

https://thi.ng
81•nmstoker•1d ago•16 comments

Siri AI

https://www.apple.com/apple-intelligence/
611•0xedb•18h ago•592 comments

xAI is looking more like a datacentre REIT than a frontier lab

https://martinalderson.com/posts/xais-new-rental-business/
593•martinald•21h ago•462 comments

Show HN: Performative-UI – A react component library of design tropes

https://vorpus.github.io/performativeUI/
1040•lizhang•22h ago•187 comments

Old'aVista – The most powerful guide to the old Internet

https://oldavista.com/
126•abnercoimbre•20h ago•27 comments

EU-banned pesticides found in rice, tea and spices

https://www.foodwatch.org/en/eu-banned-pesticides-found-in-rice-tea-and-spices
449•john-titor•20h ago•229 comments

Cleaning up after AI rockstar developers

https://www.codingwithjesse.com/blog/rockstar-developers/
24•BrunoBernardino•3h ago•2 comments

Porting the ThinkPad X61 to Coreboot

https://blog.aheymans.xyz/post/thinkpad_x61/
100•walterbell•8h ago•40 comments

H2JVM – A Haskell Library for Writing JVM Bytecode

https://discourse.haskell.org/t/h2jvm-a-haskell-library-for-writing-jvm-bytecode/14182
22•rowbin•2d ago•7 comments

MiMo-v2.5-Pro-UltraSpeed: 1T model with 1000 tokens per second

https://mimo.xiaomi.com/blog/mimo-tilert-1000tps
590•gainsurier•21h ago•434 comments

Apple Core AI Framework

https://developer.apple.com/documentation/coreai/
320•hmokiguess•17h ago•84 comments

Looking Forward to Postgres 19: Query Hints

https://www.pgedge.com/blog/looking-forward-to-postgres-19-query-hints
182•jjgreen•3d ago•31 comments

Show HN: Gitdot – A better GitHub. Open-source, written in Rust

https://gitdot.io/
284•baepaul•19h ago•262 comments

Facebook is paying people overseas promoting Alberta separatism

https://www.cbc.ca/news/canada/facebook-overseas-alberta-separtism-9.7223966
233•vrganj•6h ago•106 comments

Ask HN: What are tools you have made for yourself since the advent of AI?

347•aryamaan•18h ago•562 comments

FrontierCode

https://cognition.ai/blog/frontier-code
219•streamer45•16h ago•40 comments

Ask HN: Why hasn't there been a real competitor to Ticketmaster yet?

195•mdni007•19h ago•174 comments

Why are cells small?

https://burrito.bio/essays/what-limits-a-cells-size
157•mailyk•17h ago•71 comments

Surveillance is not safety: A statement on the UK's latest threat to privacy [pdf]

https://signal.org/blog/pdfs/2026-06-08-uk-surveillance-is-not-safety.pdf
620•g0xA52A2A•17h ago•268 comments

AI is slowing down

https://www.wheresyoured.at/ai-is-slowing-down/
594•crescit_eundo•21h ago•639 comments

Passing DBs through continuations

https://remy.wang/blog/cps.html
64•remywang•2d ago•9 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.