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Genie 4

https://deepmind.google/blog/genie-4-a-new-generation-of-world-simulation/
753•acossta•10h ago•449 comments

Ghostty 1.4

https://ghostty.org/docs/install/release-notes/1-4-0
803•deaux•9h ago•243 comments

Ink droplets in motion snag top prize in Nikon Small World contest

https://arstechnica.com/science/2026/10/meet-the-2026-winner-of-nikons-small-world-photomicrograp...
77•_Microft•2d ago•12 comments

Early progress on accelerating drug development with Claude

https://www.anthropic.com/research/early-progress-drug-development
144•dataking•5h ago•126 comments

Tailscale SSH: Investigation and remediation update

https://tailscale.com/ssh-investigation-update
205•figmert•6h ago•112 comments

Survival LLM: AI assistant and emergency library that runs on your own computer

https://www.brangus.io/survival-llm
203•Luc•6h ago•108 comments

Git for US Legislation

https://lexifina.com/blog/git-for-the-us-code
11•alansaber•49m ago•2 comments

Raspberry Pi Zero 3W and Pi 4 Model A spotted in device trees

https://bret.dk/raspberry-pi-zero-3-w-pi-4-model-a/
106•sthlmb•5h ago•41 comments

Tabletop Whale is an original science illustration blog

https://tabletopwhale.com
13•Levitating•3d ago•2 comments

81 Jokes for the ZX81

https://spelk.press/gb/products/81-jokes-for-the-zx81
40•robin_reala•1d ago•2 comments

New 14‑inch MacBook Pro with M6

https://www.apple.com/in/newsroom/2026/10/apple-introduces-the-new-14-inch-macbook-pro-with-m6/
292•beex•10h ago•369 comments

Python's experimental JIT to be removed

https://lwn.net/SubscriberLink/1102102/0c00e4d550f25f8c/
453•f311a•15h ago•237 comments

An examination of lost firefly species of the US and Canada

https://journaloflostspecies.org/index.php/jls/article/view/37/33
94•bryanrasmussen•3d ago•16 comments

Wikipedia's Cleanup of AI-Generated Content

https://spectrum.ieee.org/wikipedia-wikiproject-ai-writing-cleanup
459•rbanffy•15h ago•211 comments

New iMac with M6

https://www.apple.com/imac/
313•notfried•13h ago•383 comments

Classification of Finite Simple Groups Formalized in Lean

https://cfsg.axiommath.ai/
176•pfdietz•10h ago•44 comments

SS United States to be sunk as largest artificial reef

https://divemagazine.com/scuba-diving-news/ss-united-states-to-be-sunk-as-worlds-largest-artifici...
92•geox•1d ago•62 comments

Reviewers rarely talk about reliability. Owners bring it up twice as often

https://www.bettascore.ai/research/reliability-reviewers-vs-owners
65•tsxng•4h ago•66 comments

Radio-tagged Monarch butterflies

https://news.vt.edu/articles/2026/10/cmi-monarchs.html
34•rdmuser•8h ago•10 comments

Hex Raises $100M

https://hex.tech/blog/hex-new-era/
53•tomwphillips•6h ago•32 comments

US Government is hiding a secret court ruling about how it spies on Americans

https://www.wired.com/story/the-us-government-is-hiding-a-secret-court-ruling-about-how-it-spies-...
802•helterskelter2•12h ago•293 comments

Introducing LFM3: Every Modality for Specialized Intelligence

https://www.liquid.ai/blog/lfm3
124•Philpax•9h ago•51 comments

Four Months of Zig

https://gracefulliberty.com/articles/four-months-of-zig/
78•ibobev•6h ago•49 comments

Why Micron Is Suddenly Ditching 4F² DRAM as Rivals Double Down

https://hothardware.com/news/why-micron-is-suddenly-ditching-4f-dram
145•rbanffy•1d ago•22 comments

Nvidia and Micron Make Up 34% of America's Earnings Boom

https://www.wsj.com/finance/stocks/the-earnings-boom-is-heavily-reliant-on-just-a-handful-of-stoc...
85•JumpCrisscross•2d ago•11 comments

Land Value Capture in Practice: Ethiopia's Urban Land Lease System

https://blog.landeconomics.org/p/land-value-capture-in-practice-reflections
47•surprisetalk•1d ago•9 comments

Moxnox 1.0: NT-Like, POSIX-Compatible OS Running Atop Btrfs

https://github.com/maharmstone/moxnox
14•SockThief•2h ago•3 comments

Three TLS Bugs in GoAhead

https://foxio.io/blog/choose-your-backend-three-tls-bugs-in-goahead
61•owenshen24•8h ago•14 comments

Expanding our partnership with GSA to bring Claude to all levels of government

https://www.anthropic.com/news/expanding-partnership-gsa
24•matthieu_bl•4h ago•13 comments

Discord will soon let anyone find public server messages through Google

https://discord.com/blog/making-content-from-discoverable-servers-easier-to-discover
265•DeepLogin•7h ago•142 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.