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Apple Pass Designer

https://developer.apple.com/pass-designer/
283•soheilpro•4h ago•192 comments

Court agrees with EFF: Utah's VPN law demands a technical impossibility

https://www.eff.org/deeplinks/2026/10/court-agrees-eff-utahs-vpn-law-demands-technical-impossibility
456•hn_acker•1d ago•205 comments

The Forgetful CPU (Linux on M4)

https://yuka.dev/blog-2026-10-02-linux-m4.html
35•signa11•9h ago•0 comments

A 12-year sequence of telescope images of a star and four planets orbiting

https://bsky.app/profile/theplanetaryguy.com/post/3mwucf5ert22f
169•mariuz•12h ago•34 comments

With most information hidden, the game Stratego had stumped AI until now

https://arstechnica.com/science/2026/10/ai-finally-beat-the-best-stratego-player-in-history-and-d...
157•PaulHoule•9h ago•74 comments

Muse Gadgets

https://gadgets.muse.ai
103•anant•4h ago•51 comments

Mike Tomlin spent 12 years building a Minecraft city

https://www.nytimes.com/athletic/7648198/2026/10/01/mike-tomlin-minecraft-nfl-coach/
208•CoryOndrejka•1d ago•55 comments

Loss of cell identity drives human aging: Two new papers

https://erictopol.substack.com/p/loss-of-cell-identity-drives-human
158•bookofjoe•1d ago•40 comments

Zig v0.17.0

https://ziglang.org/download/0.17.0/release-notes.html
189•ErenayDev•3h ago•99 comments

From the creator of Redis; run LLM locally with ds4

https://dwarfstar.sh/
125•fibo•6h ago•35 comments

Greg Kroah-Hartman – Security in the LLM Age [video]

https://www.youtube.com/watch?v=NnV_cWeoo5Q
159•usernomdeguerre•21h ago•32 comments

Show HN: Made an open-source Lego AI generator

https://github.com/anteloc/ldraw-nova
59•antelocnova•4h ago•36 comments

Every SaaS business will become a harness around a model

https://blog.sshh.io/p/the-harness-is-the-company
77•iacguy•2h ago•56 comments

One month coding with GLM 5.3 Flash

https://wagtail.org/blog/one-month-on-glm-53-flash/
95•ThibWeb•8h ago•75 comments

Updates to Full Disk Access in macOS

https://developer.apple.com/news/?id=p6zjojqw
88•notfirstpost•4h ago•58 comments

Sites in ChatGPT

https://chatgpt.com/features/sites/
194•polvi•1d ago•211 comments

FLUX 3 Image

https://bfl.ai/models/flux-3-image
261•minimaxir•1d ago•57 comments

Open-sourcing AstaBrief, the fast report-generation model in Asta

https://allenai.org/blog/astabrief
15•malshe•2h ago•1 comments

Our Project Suncatcher prototype satellite is in orbit

https://blog.google/innovation-and-ai/models-and-research/google-research/project-suncatcher-prot...
38•pantalaimon•12h ago•45 comments

Venice’s failed war against Constantinople led to the first bond market

https://bigthink.com/books/a-fabulous-debt/
58•RickJWagner•10h ago•19 comments

Philip Sidney and the Extreme (Dis)Graces of the Parenthesis

https://publicdomainreview.org/essay/philip-sidney-and-the-extreme-disgraces-of-the-parenthesis/
5•pepys•2d ago•0 comments

The Legend of von Neumann (1973) [pdf]

https://gwern.net/doc/math/1973-halmos.pdf
234•suopspaces•10h ago•136 comments

Blogging with Gleam, Org-Mode and Pandoc

https://byzantine-systems.github.io/blogging-with-gleam-org-mode-and-pandoc/
48•schonfinkel•12h ago•9 comments

Show HN: Giving Opus 5.5 a simulated paint canvas

https://stillwet.art/
180•alstonite•23h ago•60 comments

Anatomy of a Lean proof for software engineers

https://agostbiro.net/posts/2026-10-anatomy-of-a-lean-proof/
69•abiro•1d ago•6 comments

STS-51-F Abort-to-Orbit (1985)

https://en.wikipedia.org/wiki/STS-51-F
32•schoen•7h ago•10 comments

The first packet sent via RFC1149 avian carrier is up for auction at Christie's

https://onlineonly.christies.com/s/fine-printed-books-manuscripts-science/carrier-pigeon-internet...
34•peter_hansteen•11h ago•5 comments

Show HN: Pyxel – A Python retro game engine with built-in art and sound editors

https://github.com/kitao/pyxel
61•kitao•1d ago•8 comments

F.02 Decommission

https://www.figure.ai/news/f-02-decommission
51•ad_hockey•13h ago•21 comments

On social reality in China

https://www.lesswrong.com/posts/b5cSYh4emQb2qrGmK/on-social-reality-in-china
132•thicTurtlLverXX•12h ago•133 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.