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The Cypherpunk Library

https://www.cypherpunkbooks.com
108•yu3zhou4•2h ago•13 comments

Dopamine Fracking

https://igerman.cc/blog/dopamine-fracking/
369•igmn•8h ago•176 comments

1k Data Breaches Later, the Disclosure Lag Is Worse

https://www.troyhunt.com/1000-data-breaches-later-the-disclosure-lag-is-worse-than-ever/
162•882542F3884314B•8h ago•61 comments

Building from zero after addiction, prison, and a felony

https://gavinray97.github.io/blog/building-from-zero-after-addiction-prison-felony
664•gavinray•16h ago•292 comments

A Family Project

https://bittersoutherner.com/feature/2022/a-family-project
25•surprisetalk•2d ago•1 comments

APC–2 – A professional record cutter for producing original playback discs

https://teenage.engineering/products/apc-2
220•vthommeret•9h ago•116 comments

OneDrive data now has an expiry date

https://ms365news.com/blogs/f/your-onedrive-data-now-has-an-expiry-data
80•taubek•3h ago•62 comments

The Smallest Brain You Can Build: A Perceptron in Python

https://ranpara.net/posts/perceptron-explained-from-scratch/
208•DevarshRanpara•10h ago•35 comments

Richard Scolyer Has Died

https://www.bbc.com/news/articles/c14yz5jg476o
78•nicwilson•7h ago•17 comments

Spherical Voronoi Diagram

https://www.jasondavies.com/maps/voronoi/
22•marysminefnuf•4d ago•9 comments

How much of Thermo Fisher's antibody data has been manipulated?

https://reeserichardson.blog/2026/05/28/how-much-of-thermo-fishers-antibody-data-has-been-manipul...
29•mhrmsn•4h ago•7 comments

Playing with Vision Embeddings

https://prestonbjensen.com/posts/playing-with-vision-embeddings
66•prestoj•2d ago•6 comments

Algorithmic Monocultures in Hiring

https://algorithmichiring.github.io/
105•drchiu•9h ago•44 comments

DeepSeek V4 Pro beats GPT-5.5 Pro on precision

https://runtimewire.com/article/deepseek-v4-pro-beats-gpt-5-5-pro-on-precision
293•yogthos•9h ago•140 comments

New drug 'functionally cures' many hepatitis B virus infections

https://www.science.org/content/article/new-drug-functionally-cures-many-hepatitis-b-virus-infect...
189•gmays•9h ago•34 comments

Giant Floating Victorian Drydock

https://mastermariners.org.au/stories-from-the-past/6481-the-world-s-largest-floating-dry-dock-wa...
29•dtj1123•1d ago•16 comments

The EU Open Source Strategy

https://digital-strategy.ec.europa.eu/en/policies/open-source-strategy
64•vrganj•3h ago•29 comments

Making peace with your unlived dreams (2023)

https://nik.art/making-peace-with-your-unlived-dreams/
241•herbertl•17h ago•142 comments

Tiny hackable CUDA language model implementation

https://github.com/markusheimerl/gpt
34•markusheimerl•2d ago•2 comments

Show HN: I Derived a Pancake

https://www.absurdlyoptimized.com/recipes/pancakes/
252•bkazez•3d ago•99 comments

Zig Structs of Arrays (2024)

https://andreashohmann.com/zig-struct-of-arrays/
5•Tomte•4d ago•0 comments

Age verification tech could put children at greater risk, says think tank

https://www.computerweekly.com/news/366643835/Age-verification-tech-could-put-children-at-greater...
50•robtherobber•3h ago•12 comments

A Matter Wi-Fi Light Bulb in Rust on the Raspberry Pi Pico 2 W

https://github.com/melastmohican/rust-rpico2-embassy-examples
127•melastmohican•11h ago•16 comments

Replies to comments on my "LLMs are eroding my career" post

https://human-in-the-loop.bearblog.dev/replies-to-comments-on-my-llms-are-eroding-my-career-post/
42•omblivion•1h ago•43 comments

Show HN: Lathe – Use LLMs to learn a new domain, not skip past it

https://github.com/devenjarvis/lathe
327•devenjarvis•1d ago•58 comments

What is the purpose of the lost+found folder in Linux and Unix? (2014)

https://unix.stackexchange.com/questions/18154/what-is-the-purpose-of-the-lostfound-folder-in-lin...
201•tosh•3d ago•70 comments

How's Linear so fast? A technical breakdown

https://performance.dev/how-is-linear-so-fast-a-technical-breakdown
424•howToTestFE•16h ago•194 comments

The 29th International Obfuscated C Code Contest (IOCCC) 2025 Winners

https://www.ioccc.org/2025/
397•matt_d•1d ago•90 comments

A discovery about GCC's unidirectional rotation algorithm

https://devblogs.microsoft.com/oldnewthing/20260603-00/?p=112378
28•soheilpro•4d ago•10 comments

LLMs are eroding my software engineering career and I don't know what to do

https://human-in-the-loop.bearblog.dev/llms-are-eroding-my-software-engineering-career-and-i-dont...
1002•poisonfountain•22h ago•954 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.