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How I find problems to solve as a staff engineer

https://lalitm.com/post/find-problems-staff-engineer/
176•vanpra•3h ago•65 comments

How Complex Systems Fail (1998)

https://how.complexsystems.fail/
208•shortcrct•7h ago•58 comments

My agent.md to improve LLM-assisted code quality

https://fabiensanglard.net/agent.md/index.html
94•ibobev•4h ago•39 comments

Google Workspace thinks my domain is an email provider

https://blog.elis.cc/articles/google-workspace-thinks-my-domain-is-an-email-provider/
74•el1s7•3h ago•20 comments

What Is a Harness?

https://earendil.com/posts/what-is-a-harness/
232•tosh•8h ago•117 comments

Why Sal Khan't: On Learning by Making but Teaching by Telling

https://punyamishra.com/2026/04/16/why-sal-khant-on-learning-by-making-but-teaching-by-telling/
109•the-mitr•6h ago•71 comments

Malware infects Android-based automotive head unit firmware

https://securelist.com/android-head-unit-malware/121106/
194•campuscodi•9h ago•94 comments

My favorite nonfiction books about cults, scams, and schemes

https://bookdna.com/best-books/nonfiction-about-cults-scams-and-schemes
178•bwb•8h ago•62 comments

A website for debloated open source alternatives

https://debloat.dev/
219•ryanvogel•5h ago•74 comments

Explain it to me like I'm ten

https://timharford.com/2026/08/explain-it-to-me-like-im-ten/
51•bookofjoe•4h ago•22 comments

Decoding silent reading from non-invasive EEG

https://arxiv.org/abs/2608.20186
12•root-parent•2h ago•5 comments

A complex structure on S^6 [pdf]

https://alpo.ge/s6.pdf
24•robinhouston•49m ago•12 comments

Coconut Oil Jet Fuel Matches Kerosene's Efficiency in Engine Tests

https://studyfinds.com/coconut-oil-jet-fuel-matches-kerosenes-efficiency-in-engine-tests/
124•mdp2021•6h ago•128 comments

I spent $266 and four AI models to own my tablet. GLM-5.3 finished it in a day

https://ericpardee.github.io/fire-hd-ownership/
581•dr_pardee•8h ago•259 comments

The Vibe Tax

https://insufferable.dev/posts/vibe-tax/
79•allisdust•4h ago•63 comments

Over 170k Nonprofits Lost All Their Data. Is Microsoft to Blame?

https://slate.com/technology/2026/08/microsoft-software-nonprofit-data-delete.html
101•tchalla•3h ago•35 comments

Slovakia finds Russian backdoor in traffic speed cameras

https://risky.biz/risky-bulletin-slovakia-finds-russian-backdoor-in-traffic-speed-cameras/
342•dredmorbius•7h ago•130 comments

The Planet Now Has More Trees Than It Did 35 Years Ago

https://psmag.com/environment/the-planet-now-has-more-trees-than-it-did-35-years-ago/
19•bookofjoe•40m ago•3 comments

Fable and the End of the Free Lunch

https://www.dbreunig.com/2026/08/23/fable-the-end-of-moore-s-law.html
83•dbreunig•3h ago•69 comments

Wi-Fi 8 is the first wireless upgrade in years that isn't chasing speed

https://www.xda-developers.com/wi-fi-8-first-wireless-upgrade-years-isnt-chasing-speed-home-netwo...
274•taubek•15h ago•216 comments

Predicting AI model release dates with stats

https://releaseoracle.xyz/
18•akeyes6•4h ago•3 comments

Erik Brynjolfsson says an AI "job apocalypse" is unlikely

https://wpintelligence.washingtonpost.com/topics/ai-tech/2026/08/19/wpi-conversation-why-an-ai-jo...
28•gumby•5h ago•38 comments

Kodak DC50 now usable on the Apple II

https://www.colino.net/wordpress/archives/2026/08/23/kodak-dc50-now-usable-on-the-apple-ii/
17•ibobev•6h ago•2 comments

The Remote Work Challenge: Lessons from 5 Cities

https://www.pew.org/en/research-and-analysis/reports/2026/05/the-remote-work-challenge-lessons-fr...
20•softwaredoug•5h ago•6 comments

Training AI to Paint with Code

https://surya.website/rling-qwen-to-paint-with-code
6•Tiberium•2h ago•0 comments

AI and Infrastructure Engineering

https://omegion.dev/2026/08/ai-and-infrastructure-engineering/
20•0megion•4h ago•4 comments

To become a better writer, read as much as you can

https://nappertime.com/the-golden-rule-of-becoming-a-better-writer/
412•andsoitis•19h ago•245 comments

MartyPC is a cross-platform emulator of early PCs written in Rust

https://martypc.net/
206•boilerupnc•19h ago•87 comments

Etched Sohu vs. Nvidia: Transformer ASIC vs. GPU (2026)

https://www.spheron.network/blog/etched-ai-sohu-vs-nvidia-transformer-asic-inference/
16•rbanffy•4h ago•4 comments

I Dream of Quieter Computing

https://henry.codes/writing/i-dream-of-quieter-computing/
108•Sir_Twist•20h ago•108 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.