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The baffling intelligence of a single cell (2024)

https://jsomers.net/e-coli-chemotaxis/
148•jsomers•1d ago•14 comments

GLM-Legal

https://z.ai/blog/glm-legal
482•ilreb•12h ago•279 comments

AI Models Can Provably Hide Arbitrary Capabilities

https://arxiv.org/abs/2610.13928
42•sbulaev•2h ago•22 comments

Intel D270 GPU AI Accelerator–Up to 480 GB LPDDR5X

https://www.intel.com/content/www/us/en/products/details/discrete-gpus/data-center-gpu/d-series.html
125•hurricanepootis•7h ago•47 comments

A Modern Web App in C

https://prophitt.me/writing/a-modern-web-app-in-c
456•prophittcorey•12h ago•181 comments

Who is vfmaddrnd231pd?

https://purplesyringa.moe/blog/who-is-vfmaddrnd231pd/
148•pngmangi•7h ago•15 comments

Hackers activate automatic defrosting in supermarket fridges across Europe

https://www.tomshardware.com/tech-industry/cyber-security/unprecedented-cyberattack-cripples-supe...
515•Zeekaas•16h ago•707 comments

A look at OpenAI’s math that’s claimed computes faster Fourier transforms

https://www.argmin.net/p/faster-fourier-transforms
54•mochomocha•1h ago•35 comments

Making big downloads resumable in Firefox

https://lunarwatcher.codeberg.page/til/firefox/resumable-big-downloads.html
134•speckx•9h ago•43 comments

Janas: Run LLMs larger than RAM by streaming experts from SSD

https://github.com/prabanta-dev/janas
69•khalidkhair•6h ago•26 comments

Auto Research: Integer multiplication below n log n

https://app.getsupers.com/auto-research
36•swesnow•1d ago•8 comments

AI is a tool and using it well takes skill

https://yyhh.org/blog/2026/10/ai-is-a-tool/
281•layer8•7h ago•237 comments

Turn a WiFi 7 Router into a 320Msps Software Defined Radio Receiver

https://github.com/h0m3us3r/w1700k-sdr
298•djfergus•15h ago•82 comments

Launch HN: Agent37 (YC F26) – Low-cost agent sandboxes for running agents

122•vishnukool•11h ago•80 comments

Phreak.ing – Internet Phone Switch

https://phreak.ing/
100•rickcarlino•7h ago•28 comments

Citroen revives the 2CV for an electric age

https://www.bbc.com/news/articles/c620r33plgppo
287•scrlk•16h ago•327 comments

Writing a Demoscene Intro for the ZX Spectrum

https://www.markround.com/blog/2026/zx-spectrum-intro
94•zdw•9h ago•10 comments

Solar panels that plug into your wall

https://www.nationalgeographic.com/environment/article/balcony-plug-in-solar-panels-renewable-energy
151•speckx•14h ago•136 comments

China Overtakes U.S. For First Time as Top Spender on R&D in 2024

https://japannews.yomiuri.co.jp/science-nature/science/20260908-347742/
84•mushstory•2h ago•75 comments

Secret of Orange Cats Revealed After 60-Year Search

https://www.sciencealert.com/secret-of-orange-cats-finally-revealed-after-60-year-search
250•bookofjoe•2d ago•180 comments

Blood cells from 80-year-old donor become stem cells with molecular age under 20

https://doi.org/10.1111/acel.70751
128•arunc•5h ago•83 comments

Codex CLI installs a persistent, self-updating background daemon by default

https://github.com/openai/codex/issues/48195
498•whimblepop•10h ago•255 comments

The Making Of Super Mario 64 – full Giles Goddard interview (2001)

https://pixelatron.com/blog/the-making-of-super-mario-64-full-giles-goddard-interview-ngc/
237•gregsadetsky•2d ago•88 comments

Kevin Kelly's 2016 AI Predictions, 10 Years Later

https://taylor.town/kk-ai-2026
157•surprisetalk•13h ago•55 comments

Show HN: Brickbrag – A multiplayer brick-building world in the browser

https://brickbrag.com/
44•neuling•7h ago•15 comments

Show HN: An experimental pattern-first DAW that supports MCP

https://github.com/andrewfader/blokkily
29•androsynth89•5h ago•17 comments

Muse Wonder

https://research.meta.ai/blog/muse-wonder
571•meetpateltech•11h ago•312 comments

The Dock on Mac, from OS 10 to macOS 27

https://blog.jim-nielsen.com/2026/macos-dock-icons-over-time/
14•soheilpro•2h ago•3 comments

Show HN: Atticus – Hold-to-talk voice assistant for macOS that runs on Claude -p

https://github.com/SaarthurR/atticus-mac
87•SaarthRanka•1d ago•15 comments

Show HN: SolidCraft – Open-Source Parametric CAD in Rust (With MCP Support)

https://github.com/bherbruck/solidcraft
16•bherbruck•4h ago•0 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.