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Residential proxies detected on White House network

https://layer3intel.com/blog/residential-proxies-white-house-network
805•Rasbora•7h ago•253 comments

Images 2.6

https://openai.com/index/introducing-images-2-6/
177•davidbarker•4h ago•120 comments

A thousand fewer paths to root

https://openai.com/index/a-thousand-fewer-paths-to-root/
207•dangelosaurus•5h ago•118 comments

Starfall – Affordable, routine access to microgravity

https://www.spacex.com/starfall
152•gmays•4h ago•88 comments

Ripple-65B Preview: U.S. Open-Weight SOTA on Agentic Coding

https://www.ricursive.com/ripple
251•Philpax•9h ago•90 comments

Kimi K3.1 Pro model weights are out

https://huggingface.co/moonshotai/Kimi-K3.1-Pro
423•abrarthought•13h ago•125 comments

Insects don't swarm at LED lights

https://www.birdsoutsidemywindow.org/2026/11/03/insects-dont-swarm-at-led-lights/
194•speckx•8h ago•106 comments

A new Go API for JSON

https://go.dev/blog/jsonv2
253•olexsmir•10h ago•118 comments

Hacking the Xbox 360 Hypervisor Part 3: Bad Update Improvements

https://icode4.coffee/?p=1746
82•muricula•6h ago•4 comments

Conductor is joining Meta

https://www.conductor.build/announcement
142•kenrose•10h ago•164 comments

Frustrated Ranchers Want People to Quit 'Rescuing' Their Working Guardian Dogs

https://cowboystatedaily.com/2026/10/15/frustrated-ranchers-want-people-to-quit-rescuing-their-wo...
61•rdmuser•2d ago•51 comments

Launch HN: Kino AI (YC S23) – AI media manager and video editor

76•lukeigel•11h ago•31 comments

Progress on provable inference for large language models

https://www.anthropic.com/research/provable-inference
191•ltononro•11h ago•87 comments

Qualcomm Cloud AI 100 Ultra – 150W AI Accelerator Card with 128GB at 548GB/s

https://www.qualcomm.com/data-center/products/cloud-ai-100-ultra
118•peter_d_sherman•8h ago•50 comments

AI is forcing us to pay off 40 years of technical debt

https://spectrum.ieee.org/ai-in-cybersecurity-php2shell-vulnerability
1120•pseudolus•16h ago•655 comments

Show HN: After a decade of reversing, I got co-op working in DOS Wing Commander

https://fireflyk64.github.io/wcmulti/
129•daniel_rh•9h ago•15 comments

Guerrilla bike lanes: San Francisco makes illicit infrastructure permanent (2016)

https://99percentinvisible.org/article/guerrilla-bike-lanes-san-francisco-makes-illicit-infrastru...
275•zenincognito•13h ago•201 comments

Ask HN: What's your current AI agentic setup?

189•eggbrain•13h ago•201 comments

OpenAI to acquire Pierre Computer Company

https://openai.com/index/openai-to-acquire-pierre/
211•itunpredictable•13h ago•63 comments

Spreading Liquid with Three.js

https://mofu-dev.com/en/blog/fluid-foundation/
6•mooreds•2d ago•1 comments

Basically no one is using AI agents for their DoorDash orders

https://arstechnica.com/ai/2026/10/doordash-says-outside-ai-agents-have-only-led-to-hundreds-of-o...
91•PaulHoule•2d ago•174 comments

A wave of plastic-free coffee pods and machines

https://www.cnn.com/2026/11/02/food/coffee-machine-plastic-free
64•thunderbong•13h ago•81 comments

Tencent Hy4

https://hy.tencent.ai/research/hy4
207•Philpax•14h ago•70 comments

Show HN: The DNA of DOOM – How code structure survives across 44 ports

https://squid-protocol.github.io/gitgalaxy/museum-of-code/doom-dna/
33•joe-esquibel•2d ago•17 comments

PageScribe: Handwriting and offline dictionary audio for KOReader

https://aspireai.kiranadimatyam.com/builds/pagescribe/
16•seshakiran•2d ago•1 comments

AMD expects to outsell Intel in Q4 for the first time in history

https://www.tomshardware.com/pc-components/cpus/amd-expects-to-outsell-intel-in-q4-for-the-first-...
509•rbanffy•12h ago•185 comments

Is Curiosity Good for Us?

https://www.lrb.co.uk/the-paper/v48/n20/adam-phillips/is-curiosity-good-for-us
27•NaOH•1d ago•13 comments

'It's just vape, nail, charity shops': Can anything save UK high street?

https://www.theguardian.com/business/2026/nov/04/what-can-save-the-british-high-street-rotherham
82•theanonymousone•12h ago•188 comments

11 Nanoseconds per Word: Over-Optimizing Anagrams

https://wiredream.com/anagram-fun/
7•ColinWright•18h ago•0 comments

Incident with Pull Requests, Git Operations and Issues

https://www.githubstatus.com/incidents/smtdswd1h2w4
260•kevcampb•18h ago•129 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.