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Noise infusion banned from statistical products published by Census Bureau

https://desfontain.es/blog/banning-noise.html
674•nl•9h ago•392 comments

Every Frame Perfect

https://tonsky.me/blog/every-frame-perfect/
485•ravenical•11h ago•159 comments

Pyodide 314.0: Python packages can now publish WebAssembly wheels to PyPI

https://blog.pyodide.org/posts/314-release/
47•agriyakhetarpal•4d ago•8 comments

Treating pancreatic tumours may have revealed cancer's master switch

https://economist.com/science-and-technology/2026/06/12/treating-pancreatic-tumours-may-have-reve...
272•andsoitis•10h ago•89 comments

GameBoy Workboy

https://tcrf.net/Workboy
142•tosh•5h ago•50 comments

Running DOS on Behringers DDX3216 with a DIY x86-Bios from Scratch

https://chrisdevblog.com/2026/06/08/running-dos-on-behringers-ddx3216-using-a-diy-x86-bios/
66•rasz•5h ago•12 comments

Amazon CEO's talks with U.S. officials triggered crackdown on Anthropic models

https://www.wsj.com/tech/ai/amazon-ceos-talks-with-u-s-officials-triggered-crackdown-on-anthropic...
464•ls612•6h ago•338 comments

Police officer investigated for using AI to 'create evidence' in multiple cases

https://news.sky.com/story/derbyshire-police-officer-investigated-for-using-ai-to-create-evidence...
156•austinallegro•3h ago•56 comments

Resurrecting a Soaked, corroded, and damaged Commodore SX‑64 (2025)

https://jerrylparker.com/blogs/posts/sx-64.html
9•hggh•2d ago•1 comments

Codex for open source

https://openai.com/form/codex-for-oss/
133•EvgeniyZh•2d ago•34 comments

The adder at the heart of Intel's 8087 floating-point chip

https://www.righto.com/2026/06/intel-8087-adder-reverse-engineered.html
82•pwg•6h ago•24 comments

Appreciating Exif

https://brentfitzgerald.com/posts/appreciating-exif/
119•burnto•4d ago•24 comments

Derbyshire Police officer accused of using AI to 'create evidence'

https://www.bbc.com/news/articles/cy8wppwdxl6o
16•healsdata•50m ago•1 comments

A low-carbon computing platform from your retired phones

https://research.google/blog/a-low-carbon-computing-platform-from-your-retired-phones/
227•vikas-sharma•13h ago•127 comments

RTX 5080 and RTX 3090 Setup: 80 Tok/s on Qwen 3.6 27B Q8

https://imil.net/blog/posts/2026/rtx-5080-+-rtx-3090-setup-80+-tok-s-on-qwen-3.6-27b-q8/
178•iMil•13h ago•60 comments

AI coding at home without going broke

https://stephen.bochinski.dev/blog/2026/06/13/ai-coding-at-home-without-going-broke/
211•sbochins•6h ago•189 comments

C47/R47 Calculators

https://47calc.com/index.html
19•helterskelter•3d ago•9 comments

The experience of rendering Arabic typography and its technical debt

https://lr0.org/blog/p/arabic/
172•bookofjoe•10h ago•41 comments

Orthodox C++ (2016)

https://bkaradzic.github.io/posts/orthodoxc++/
75•signa11•9h ago•125 comments

AI OSS tool repo goes archived over night after raising $7.3M Seed

https://github.com/tensorzero/tensorzero
231•hek2sch•11h ago•150 comments

GLM 5.2 Is Out

https://twitter.com/jietang/status/2065784751345287314
247•aloknnikhil•7h ago•121 comments

The MilkV Jupiter 2/SpacemiT K3 (RISC-V vector compute)

https://taoofmac.com/space/reviews/2026/06/11/1830
27•rcarmo•2d ago•6 comments

The state of building user interfaces in Rust

https://areweguiyet.com/#ecosystem
161•mahirsaid•3d ago•112 comments

Israeli firm BlackCore suspected of meddling in New York and Scotland votes

https://www.reuters.com/world/israeli-firm-blackcore-also-suspected-meddling-nyc-scotland-votes-f...
485•pera•15h ago•273 comments

Show HN: Paca – Lightweight Jira alternative for human-AI collaboration

https://github.com/Paca-AI/paca
129•pikann22•13h ago•51 comments

What Happens to an Economy When It's Too Hot to Work?

https://www.bloomberg.com/news/features/2026-06-12/india-s-extreme-heat-is-hurting-its-economy-an...
77•littlexsparkee•4h ago•33 comments

Show HN: I am building a map of people who lived in the Roman Empire

https://new.roman-names.com/
143•metiscus•3d ago•34 comments

An Interview with Intel's Kira Boyko: Xeon 6's Product Director

https://chipsandcheese.com/p/an-interview-with-intels-kira-boyko
50•lumpa•11h ago•3 comments

Trophic memory, deer, and a unique scientific object

https://thoughtforms.life/trophic-memory-deer-and-a-truly-unique-scientific-object/
25•atombender•4d ago•5 comments

The computer science degree isn’t dead

https://spectrum.ieee.org/computer-science-degree-isnt-dead
230•jnord•3d ago•225 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.