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Asus Bike Booster

https://www.asus.com/accessories/bike-booster/asus-oxiis/oxiis-intelligent-bike-booster/
463•wiradikusuma•4d ago•300 comments

Superconducting monolayer cuprate with a single CuO2 plane

https://www.nature.com/articles/s41586-026-10857-1
24•sbulaev•3d ago•6 comments

Patterns and problems in emerging multi-agent systems

https://www.anthropic.com/research/multiagent-systems
120•maxutility•10h ago•66 comments

Gooseworks (YC W23) Is Hiring a Founding Builder / Engineer

https://www.ycombinator.com/companies/gooseworks/jobs/UJ4vH2F-founding-engineer
1•shivsak•14m ago

Asynchronous I/O in DuckDB: Work, Thread, Work

https://duckdb.org/2026/07/31/asynchronous-io
186•pdet•5d ago•21 comments

Software Engineering fundamentals matter more

https://rhonabwy.com/2026/08/15/software-engineering-fundamentals-matter-more-than-ever/
186•ingve•13h ago•118 comments

Chestnut – eGPU dock with open-source firmware

https://hwbusters.com/news/comma-ai-egpu-dock-runs-open-source-firmware-249-bare-799-with-an-rx-9...
33•txrx0000•2d ago•4 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...
277•dgellow•16h ago•174 comments

Semaglutide linked to lower predicted dementia risk

https://alz-journals.onlinelibrary.wiley.com/doi/10.1002/dad2.70432
440•randycupertino•20h ago•319 comments

What happens when an LLM never sees material beyond fifth grade?

https://littlelearner-ll.github.io/
152•porridgeraisin•4h ago•115 comments

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

https://www.henrikkarlsson.xyz/p/good-ideas
192•felixbraun•15h ago•47 comments

A SAT Attack on Tarski's High School Algebra Problem

https://arxiv.org/abs/2608.08421
3•matt_d•4d ago•0 comments

Guiding Ships with Moire Patterns

https://tinkerings.org/2018/03/28/guiding-ships-with-moire-patterns/
68•Eridanus2•10h ago•19 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...
264•gmays•22h ago•100 comments

Impulse Tracker

https://ovidem.com/impulsetracker/
33•vsvagr•4d ago•5 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
148•AnodicElegy•17h ago•81 comments

RISC-V: They Should Have Known Better

https://dmitry.gr/?r=06.%20Thoughts&proj=12.%20RV
331•dmitrygr•1d ago•378 comments

Show HN: Mic Drop, a real-time multiplayer karaoke game

https://www.micdrop.gg/
62•johnsillings•11h ago•28 comments

Falstad Math and Physics Simulations

https://www.falstad.com/mathphysics.html
26•pykello•7h ago•6 comments

A fortuitous decade as an indie software developer

https://lapcatsoftware.com/articles/2026/8/3.html
100•frizlab•5d ago•11 comments

Numba in the Browser: Unlocking a New Scientific Python Stack in JupyterLite

https://notebook.link/blog/numba-in-the-browser/
52•xalfotis•4d ago•9 comments

I built a browser-native SysEx librarian for 80s/90s synthesizers

https://bipluk.com/
26•halfradaition•3d ago•14 comments

A spectre is haunting Unicode

https://www.dampfkraft.com/ghost-characters.html
235•sensanaty•21h ago•91 comments

Show HN: Grafana agent observability for Hermes Agent

https://github.com/alexander-akhmetov/grafana-agento11y-hermes
5•eventuallyacat•3h ago•0 comments

Tracking down a Zsh history data loss bug

https://michael.stapelberg.ch/posts/2026-08-09-zsh-history-truncation-bug/
85•ingve•14h ago•31 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...
273•theanonymousone•15h ago•218 comments

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

https://davidepiffer.com/p/ai-isnt-outthinking-mathematicians
518•rzk•18h ago•447 comments

Tea5767-Radio-Tuner

https://github.com/turtushig22-blip/tea5767-radio-tuner
46•turtushig22•12h ago•2 comments

AI-Assisted GPU Porting of a 250k Line Legacy Weather Simulation Code

https://arxiv.org/abs/2608.13122
39•Jimmc414•13h ago•4 comments

Zapping Rocks Unlocks Stimulated Geologic Hydrogen

https://spectrum.ieee.org/stimulated-geologic-hydrogen
20•adm4•9h ago•6 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.