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Documents: Police officer gave her Flock login to her ICE agent husband

https://www.wjcl.com/article/savannah-police-officer-ice-agent-flock-access/74135816
531•DeepLogin•4h ago•256 comments

Wine Ported to OpenBSD

https://marc.info/?l=openbsd-ports&m=179236125692175
41•iamnothere•1h ago•0 comments

Linux 7.3 Released

https://lwn.net/Articles/1101143/
425•cjd8•7h ago•185 comments

Timestral: Mistral release time-series foundation models

https://mistral.ai/news/timestral/
228•groar•4h ago•44 comments

Alternatives to Animal Testing Are Finally Taking Off

https://spectrum.ieee.org/alternatives-to-animal-testing
103•rbanffy•3h ago•16 comments

Let's Encrypt is adding two additional remote perspectives for domain validation

https://community.letsencrypt.org/t/lets-encrypt-is-adding-two-additional-remote-perspectives-for...
103•gslin•3h ago•29 comments

Harness Engineering 101: The LLM is the brain, the harness is the body

https://github.com/IsuruMaduranga/harness-engineering-101
113•isuruwijesiri•2h ago•51 comments

Show HN: Qwen3-4B with the AI writing tics trained out

https://100toolkit.com/blog/deslop-model/
76•erikkannike•1h ago•45 comments

ESA's Hera Will View Asteroid Scars from DART's Strike

https://spectrum.ieee.org/esa-hera-dimorphos-rendezvous
37•rbanffy•3h ago•0 comments

Gdynia and the Dream of a Maritime Poland

https://engelsbergideas.com/notebook/gdynia-and-the-dream-of-a-maritime-poland/
63•lermontov•2d ago•13 comments

Hybrid Reasoning Agents: LLM agents that think in latent space, act through text

https://arxiv.org/abs/2610.18861
464•allinonai•17h ago•224 comments

Show HN: KiviDB, a faster Redis-compatible memory database and vector cache

https://github.com/kividbio/kividb
7•murtazayusuf•52m ago•1 comments

There's never been a better time to go into math (by: 3blue1brown) [video]

https://www.youtube.com/watch?v=LKrwhjOI8Nc
466•mdp2021•1d ago•598 comments

William Gibson and the trademarking of cyberspace

https://colo.to/cyberspace.html
234•Eric_Gullichsen•15h ago•109 comments

Beyond the Glass

https://longreads.com/2026/10/15/mother-museum-skulls-grief-agni/
8•Petiver•3d ago•1 comments

If you don't run your own LLM proxy, how do you know whats going on?

https://jrdsgl.com/if-you-dont-run-your-own-llm-proxy-how-the-fuck-do-you-even-know-whats-going-on/
250•amrrs•17h ago•167 comments

How to Train Your Robot

https://www.construction-physics.com/p/how-to-train-your-robot
98•crescit_eundo•3d ago•31 comments

Rabbits were a medieval royal luxury in England until the Black Death

https://phys.org/news/2026-10-rabbits-medieval-royal-luxury-england.html
116•samizdis•2d ago•112 comments

A death, a plagiarism scandal and a quest for revenge: the tale of Otto Z

https://www.theguardian.com/news/ng-interactive/2026/oct/08/a-death-a-plagiarism-scandal-and-a-qu...
5•Hooke•1d ago•0 comments

Someone behind the software

https://karrisaarinen.com/posts/someone-behind-the-software/
505•tosh•22h ago•183 comments

Dogs seem to agree with humans that 'bouba' is round and 'kiki' is spiky

https://www.sciencealert.com/dogs-seem-to-agree-with-humans-that-bouba-is-round-and-kiki-is-spiky
305•gmays•1d ago•174 comments

Maybe There Was an Egg Cartel After All

https://www.politico.com/news/magazine/2026/10/18/egg-prices-conspiracy-affordability-issue-01100411
6•iamnothere•15m ago•2 comments

Laptop Based on 6502 CPU

https://www.maddox.pro/?p=448
170•nanochess•3d ago•84 comments

RepRapMicron

https://github.com/VikOlliver/RepRapMicron/wiki
426•RobotToaster•1d ago•67 comments

The DNS Museum

https://dns.museum
113•zdw•2d ago•14 comments

Harness2 by Google Research – Recursive Agent Harnessing

https://github.com/google-research/harness2
37•irthomasthomas•3h ago•5 comments

How Quickly Can the DoD Rebuild and Recast the Munitions Industrial Base?

https://www.csis.org/analysis/how-quickly-can-dod-rebuild-and-recast-munitions-industrial-base
110•gmays•15h ago•154 comments

Tmux and Claude Code: Sessions, Send-Keys, and the Ceiling

https://crystl.dev/guides/tmux-for-ai-agents/
98•ankitg12•8h ago•64 comments

Superlite: A Faster Alternatie to Superpowers

https://contextfirst.blog/superlite-hand-an-agent-a-spec/
124•iheatuchriswogu•12h ago•57 comments

Beyond These Stars

https://store.steampowered.com/app/2295060/Beyond_These_Stars/
6•doener•40m ago•1 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.