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Engineers will do anything to avoid learning from history

https://horn.gg/blog/engineers-will-do-anything-to-avoid-learning-from-history/
58•madrox•1h ago•24 comments

Abdominal fat predicts heart disease risk better than BMI

https://www.acc.org/about-acc/press-releases/2026/08/11/14/59/abdominal-fat-predicts-heart-diseas...
71•theanonymousone•2h ago•43 comments

Semaglutide linked to lower predicted dementia risk

https://alz-journals.onlinelibrary.wiley.com/doi/10.1002/dad2.70432
312•randycupertino•7h ago•213 comments

Bede Liu, a digital signal processing pioneer, has died

https://spectrum.ieee.org/digital-signal-processing
24•Jimmc414•1h ago•1 comments

Cultivating a state of mind where new ideas are born (2023)

https://www.henrikkarlsson.xyz/p/good-ideas
49•felixbraun•2h ago•17 comments

At-home test for infected ticks could improve Lyme Disease diagnosis

https://www.smithsonianmag.com/innovation/the-first-at-home-test-for-infected-ticks-could-improve...
194•gmays•9h ago•64 comments

AI in drug discovery – what it is, where we stand and the path forward

https://www.science.org/content/blog-post/so-how-ai-drug-discovery-doing-really
60•AnodicElegy•4h ago•34 comments

AI has access to a vastly larger working memory than the human brain

https://davidepiffer.com/p/ai-isnt-outthinking-mathematicians
355•rzk•5h ago•313 comments

Tracking down a Zsh history data loss bug

https://michael.stapelberg.ch/posts/2026-08-09-zsh-history-truncation-bug/
14•ingve•1h ago•0 comments

RISC-V: They Should Have Known Better

https://dmitry.gr/?r=06.%20Thoughts&proj=12.%20RV
206•dmitrygr•1d ago•286 comments

Auto-research with codex: How I achieved a 232x Faster Kernel

https://sankalp.bearblog.dev/autoresearch/
376•tosh•12h ago•84 comments

Show HN: Live Claude Usage HUD for a $38 Thermalright Trofeo Vision LCD

https://github.com/christensen143/claude-trofeo-hud
10•christensen143•1h ago•1 comments

The Government Is Monitoring Anti-Flock TikTok and Instagram Accounts

https://www.404media.co/the-government-is-monitoring-anti-flock-tiktok-and-instagram-accounts/
24•Jimmc414•36m ago•4 comments

A spectre is haunting Unicode

https://www.dampfkraft.com/ghost-characters.html
148•sensanaty•8h ago•44 comments

Voltair (YC W26) Is Hiring a Test Flight Engineer

https://www.ycombinator.com/companies/voltair/jobs/sSOD2Ox-flight-test-engineer
1•wweissbluth•4h ago

SugarTrack – an offline Android logbook for blood sugar (no account, no cloud)

https://sugartrack-beta.vercel.app/
4•hunzaboy•48m ago•1 comments

The Wow signal was a strong narrowband radio signal detected on August 15, 1977

https://en.wikipedia.org/wiki/Wow!_signal
40•firefax•1h ago•6 comments

Modeling and Verification of Keeta's Consensus [pdf]

https://xescu.re/keeta-consensus.pdf
6•xescure•1h ago•1 comments

Jaithon 3, a fast programming language with the perfect syntax

https://github.com/abhiramasonny/jaithon
7•AbhiramaVS•4d ago•6 comments

Tess's Android Wayland Compositor

https://github.com/wmww/tawc
29•schmorptron•4h ago•1 comments

Humazon

https://hughhowey.com/humazon/
13•herbertl•2h ago•5 comments

Working with AI feels more like leadership than coding

https://allen.bargi.org/notes/working-with-ai-feels-like-leadership/
243•allenb•12h ago•166 comments

BriskDB

https://github.com/schapman1974/briskdb
41•schapman1974•5h ago•10 comments

Geek Fighter – 2d fighter game

https://geek-fighter.vercel.app/
44•tareqismail•5d ago•22 comments

2D Gaussian Splatting for Bézier Spline Line Art Vectorization

https://studios.disneyresearch.com/2026/07/16/2d-gaussian-splatting-for-bezier-spline-line-art-ve...
54•Jimmc414•22h ago•4 comments

Pizza Box Project Stack

https://cblgh.org/posts/2026-07-31-pizza-box-project-stack/
22•surprisetalk•4d ago•3 comments

Show HN: Eigendrum - Draw any shape and hear what it sounds like as a drum

https://baselashraf81.github.io/eigendrum/
191•BaselAshraf81•5d ago•91 comments

An image can overflow

https://master.dev/blog/something-nobody-told-you-about-the-image-element-it-can-overflow/
9•ibobev•4d ago•3 comments

The mathematical beauty of hyperbezier curves

https://linebender.org/blog/hyperbezier/
178•raphlinus•6d ago•31 comments

Super El Niño Keeps Growing as New Forecasts Reach Record Territory Ahead Winter

https://www.severe-weather.eu/long-range-2/super-el-nino-growth-accelerating-to-record-strength-f...
20•dgellow•3h ago•3 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.