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Study: Young users (9 to 18Y) ditch Google for AI, with unknown consequences

https://norwegianscitechnews.com/2026/09/young-users-ditch-google-for-ai-with-unknown-consequences/
27•giuliomagnifico•52m ago•25 comments

Can gzip be a language model?

https://nathan.rs/posts/gzip-lm/
143•networked•4h ago•57 comments

MiMo v2.6

https://mimo.xiaomi.com/mimo-v2-6
908•volf_•13h ago•403 comments

AMD's random number generator can't generate a 0?

https://board.flatassembler.net/topic.php?t=24261
27•BruceEel•1h ago•0 comments

I said no and Apple said yes

https://dbushell.com/2026/09/22/apple-intelligence/
143•thatslast•2h ago•81 comments

Spymarks, Not Watermarks

https://brand.io/article/spymarks/
450•possibilistic•11h ago•112 comments

Transformers Explained Visually

https://poloclub.github.io/transformer-explainer/
418•aray07•14h ago•64 comments

Attention is all you have

https://alicegg.tech/2026/09/21/attention
816•zer0tonin•19h ago•244 comments

What Sun got wrong

https://bcantrill.dtrace.org/2026/09/20/what-sun-got-wrong/
593•chmaynard•20h ago•343 comments

MiMo-v2.6-Pro: Intelligence, Performance and Price Analysis

https://artificialanalysis.ai/models/mimo-v2-6-pro
67•theanonymousone•6h ago•19 comments

I don't want to read what you didn't write

https://blog.colinbreck.com/i-dont-want-to-read-what-you-didnt-write/
690•mooreds•11h ago•277 comments

AI coding has made CI a bottleneck, so we reworked ours to keep up

https://linear.app/now/ci-bottleneck-reworked
244•julian_digital•14h ago•268 comments

Looking forward to Git 2.56 – and 3.0

https://lwn.net/SubscriberLink/1094575/2385e98583715c2b/
129•chmaynard•10h ago•59 comments

NASA’s Mars Sample Return mission is dead

https://www.science.org/content/article/nasa-s-mars-sample-return-mission-dead
389•Muhammad523•14h ago•324 comments

Divide by depth for instant 3D

https://gabrieloc.com/2026/09/15/perspective.html
153•gabrieloc•2d ago•28 comments

Engineering Memory: On learning to memorize first 100 digits of pi (2024)

https://gregorygundersen.com/blog/2024/12/21/engineering-memory/
17•fuzzythinker•1d ago•10 comments

Claude Status – Elevated errors for multiple models

https://status.claude.com/incidents/7g1qpkyz5gxh
114•corvad•9h ago•82 comments

World Wide Words

https://www.worldwidewords.org/genindex.html
17•Petiver•2d ago•1 comments

What It's Like to Work in One of America's Data Centers

https://www.wsj.com/business/what-its-like-to-work-in-one-of-americas-data-centers-b4358003
10•JumpCrisscross•1d ago•2 comments

The Advisory Group on Mathematics and Artificial Intelligence

https://terrytao.wordpress.com/2026/09/21/advisory-group-on-mathematics-and-artificial-intelligence/
139•digital55•14h ago•66 comments

PDF Forgeries Are Surprisingly Rare (2022)

https://gwern.net/blog/2022/pdf-forgery
42•1317•2d ago•33 comments

Used ThinkPad Buyer's Guide (2019)

https://www.bobble.tech/free-stuff/used-thinkpad-buyers-guide
21•Mr_Minderbinder•5h ago•8 comments

A font that reads what you wrote

https://rohanadwankar.github.io/posts/semfont.html
6•RohanAdwankar•2d ago•5 comments

Socrates vs. the Written Word (2011)

https://wondermark.com/socrates-vs-writing/
46•spectraldrift•10h ago•21 comments

Python Workers are now generally available

https://blog.cloudflare.com/python-workers-ga/
229•torutofu•20h ago•38 comments

HERMES radio enables voice and data communication over vast distances

https://spectrum.ieee.org/hermes-shortwave-radio-digital-data
139•SamuraiLion•17h ago•60 comments

How do traffic signals work? (2019)

https://practical.engineering/blog/2019/5/11/how-do-traffic-signals-work
86•at1as•18h ago•63 comments

Apple Copland D11E4 Booting in the Browser

https://www.pagetable.com/300
140•luu•15h ago•40 comments

Frontier AI on Your Own Hardware

https://timdettmers.com/2026/09/21/dlab-open-source-week/
160•pretext•15h ago•79 comments

Grok 4.7

https://x.ai/news/grok-4-7
574•meetpateltech•18h ago•488 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.