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Two-Tier Encryption in the UK – Identical Apple Devices, Different Protection

https://macanorak.com/two-tier-encryption-in-the-uk/
111•ReturnoftheHack•3h ago•32 comments

Nokia Design Archive (2025)

https://nokiadesignarchive.aalto.fi/index.html
135•pillars•4h ago•64 comments

Linux support is coming to Snapdragon X2 Series

https://www.qualcomm.com/news/onq/2026/09/snapdragon-summit-agentic-ai-pcs-linux
508•aaronday•15h ago•205 comments

Owners mourn spoiled food after firmware update bricks Samsung smart fridges

https://arstechnica.com/gadgets/2026/09/owners-mourn-spoiled-food-after-firmware-update-bricks-sa...
40•nonfamous•58m ago•19 comments

Ideas on modernizing the open-source desktop

https://lwn.net/SubscriberLink/1095425/2d9f411252325784/
238•signa11•11h ago•280 comments

Claude discovers a novel enzyme system with CRISPR-like repeats

https://www.anthropic.com/news/claude-discovers-novel-enzyme-system
706•raahelb•19h ago•721 comments

RAM: the forgotten history (2024)

https://blog.coredump.cx/p/memory-the-forgotten-history
61•Luc•1d ago•2 comments

The newest ESP32 can run Linux and it's getting close to a Raspberry Pi

https://www.xda-developers.com/newest-esp32-run-linux-close-to-raspberry-pi/
87•adunk•2h ago•24 comments

Meta takes down a critical video about meta AI Glasses after filming at Meta

https://www.reddit.com/r/facebook/comments/1wotwrk/meta_takes_down_a_critical_video_about_meta_ai/
388•pieterr•5h ago•211 comments

OpenAI agent hacked Australian government website, PM says

https://www.bbc.com/news/live/cvgl73pxgndwt
156•rudy6912•11h ago•97 comments

ArXiv receives multiyear commitments to support it as an independent nonprofit

https://blog.arxiv.org/2026/09/23/arxiv-receives-multiyear-investment/
231•JohnHammersley•15h ago•30 comments

When the Debugger Lies

https://danielmangum.com/posts/when-the-debugger-lies/
24•hasheddan•2d ago•9 comments

VSCode's SSH Agent Is Bananas (2025)

https://fly.io/blog/vscode-ssh-wtf/
266•Rapzid•16h ago•163 comments

The "Windows XP Box" (2003)

https://www.mini-itx.com/projects/windowsxpbox/
185•doubletwoyou•2d ago•35 comments

Contrastive Language Models

https://contrastive-lm.notion.site/
107•erichocean•9h ago•28 comments

Virtio-nvgpu: Near-native Nvidia GPU access inside a KVM guest

https://github.com/nestrilabs/virtio-nvgpu
126•WanjohiRyan•12h ago•53 comments

Fixing the Portobello Police Station Clock

https://pointinthecloud.com/2026-04-11-211700.html
477•avidly•22h ago•110 comments

Early rogue AI agent activity and attempts to hack found on urlquery.net

https://transluce.org/agent-activity
176•snikolaev•8h ago•157 comments

Why 'What's Opera, Doc?' looks like that

https://animationobsessive.substack.com/p/why-whats-opera-doc-looks-like-that
93•CharlesW•22h ago•19 comments

Hackers influence ChatGPT and Gemini to direct users to scam centers

https://medium.com/@arielsimon/dark-sourcery-how-hackers-manipulate-ai-to-scam-you-88df434d2073
34•ArielSimon•2h ago•11 comments

The Year of Internal Tools

https://www.geocod.io/code-and-coordinates/2026-09-23-the-year-of-internal-tools
25•thecodemonkey•6h ago•8 comments

Women Who Sold Books Door to Door

https://daily.jstor.org/the-women-who-sold-books-door-to-door/
47•herbertl•2d ago•5 comments

Mercury 2.5 LLM hits 770 tokens per second

https://artificialanalysis.ai/models/mercury-2-5
134•Retro_Dev•15h ago•79 comments

Making portable my unportable transputer C compiler

https://nanochess.org/transputer_c_compiler.html
55•nanochess•2d ago•8 comments

Making Tailscale Faster

https://tailscale.com/blog/making-tailscale-faster
201•yarapavan•20h ago•76 comments

Meta VR Glasses

https://www.meta.com/vr-glasses/
452•polymorph1sm•14h ago•403 comments

Automated optimization of a molecular simulation program

https://shishir-iyer.medium.com/automated-optimization-of-a-molecular-simulation-program-4a28a2bc...
9•shishir03•1d ago•2 comments

The mystery animal on an ancient god's head

https://signoregalilei.com/2026/09/13/the-mystery-animal-on-an-ancient-gods-head/
140•surprisetalk•2d ago•36 comments

Tokens too cheap to meter

https://jyn.dev/tokens-too-cheap-to-meter/
326•teoruiz•1d ago•214 comments

A brief history of Windows scroll bar shortcuts

https://devblogs.microsoft.com/oldnewthing/20260922-00/?p=112719/
158•tybulewicz•19h ago•101 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.