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Why get an expensive Pi when I have an old phone?

https://so.long.thanks.fish/why-pi-when-i-have-an-old-phone/
270•casi•4d ago•165 comments

Show HN: A terminal-native idle factory game, written in Rust with ratatui

https://gitlab.com/snipedbywifi/terminactory
19•snipedbywifi•1h ago•0 comments

Generative AI uses more energy on non-English text

https://news.umich.edu/generative-ai-uses-more-energy-on-non-english-text/
47•DeepLogin•4d ago•27 comments

Advancing science and engineering with Antigravity's /teamwork

https://research.google/blog/advancing-science-engineering-with-antigravitys-teamwork-feature/
21•acossta•1h ago•3 comments

KDE: The Documentary on Free Software [video]

https://tube.kockatoo.org/w/fFinNHfanLT7aBEb2B8y4c
10•mrkn1•1h ago•0 comments

Show HN: Fursoy – Out-of-order RV64IMAFDV core in SystemVerilog (Linux 6.6)

https://github.com/FURSOY/fursoy-cpu
8•fursoy•1h ago•0 comments

Tech Companies Are Trying to Shift the Concept of Privacy (Again)

https://www.eff.org/deeplinks/2026/11/tech-companies-are-trying-shift-entire-concept-privacy-again
122•gslin•2h ago•24 comments

Ggml v1.0.0

https://github.com/ggml-org/ggml/releases/tag/v1.0.0
342•cobychapple•12h ago•53 comments

Show HN: Agweb – a browser for agents that stays out of your way

https://github.com/paul-nameless/agweb
13•paul_nameless•1h ago•2 comments

Monkey Island: all 13 versions side by side

https://monkeyisland.pages.dev/
297•maximilianburke•10h ago•86 comments

Testing a Trash Can Faraday Cage

https://www.jefftk.com/p/testing-a-trash-can-faraday-cage
14•torutofu•2d ago•1 comments

Serving GLM-5.3 at 607.8 tok/s across two Nvidia DGX stations with vLLM

https://developer.nvidia.com/blog/when-one-gpu-isnt-enough-serving-glm-5-3-across-two-nvidia-dgx-...
34•wondersky•1h ago•10 comments

Does the Crichton Estate Have a Case?

https://yapern.com/blog/does-the-crichton-estate-have-a-case/
5•15o9o•1h ago•0 comments

Nvidia allegedly engineered scarcity by funding AI startups to buy its GPUs

https://www.techpowerup.com/354814/nvidia-allegedly-engineered-scarcity-by-funding-ai-startups-to...
838•speckx•12h ago•500 comments

Terminal borders that don't cost a cell

https://www.joshka.net/cell-borders/
344•vinhnx•16h ago•149 comments

Let's Write a PostScript Interpreter

https://beyondloom.com/blog/postscript.html
37•RebelPotato•1d ago•8 comments

Italy fines Meta $887M over Android users' data access

https://www.reuters.com/world/italy-fines-meta-887-million-over-android-users-data-access-2026-11...
32•giuliomagnifico•1h ago•10 comments

Unsloth Qwen3.8-27B Quantizations – Dynamic v3.1 Update

https://unsloth.ai/docs/models/qwen3.8
204•Retro_Dev•15h ago•61 comments

The Claude Delusion

https://www.netmeister.org/blog/claude-delusion.html
102•janvdberg•1h ago•84 comments

FAA issues national ground stop – lifted 4.5 hours later

https://www.nbcnews.com/news/us-news/faa-orders-nationwide-ground-stop-departing-flights-reasons-...
1600•zulln•18h ago•1218 comments

What happened to 3Com?

https://dfarq.homeip.net/what-happened-to-3com/
178•gvieri•15h ago•96 comments

Jonathan Blow – If AI solved coding, why is my software still the same? [video]

https://www.youtube.com/watch?v=IRK8h67ol7Q
389•helloplanets•1d ago•546 comments

Show HN: Live map of U.S. flights during tonight's FAA nationwide ground stop

https://grounds.top/
181•gvsi•15h ago•23 comments

Found: A protein that drives ageing without unleashing inflammation

https://www.nature.com/articles/d41586-026-03638-3
227•gumby•19h ago•58 comments

FM-1 Workbench

https://open.m-vave.com/fm1-workbench
255•simonebrunozzi•19h ago•164 comments

Show HN: I have trained 15 blood glucose forecasting models on my own data

https://github.com/0xdeadf1sh/T1DMAI
62•0xdeadf1sh•3d ago•33 comments

The Myth of Neutral Code

https://foss.life/notes/2026/the-myth-of-neutral-code/
10•birdculture•1h ago•0 comments

Service Crew Discovers Rare Yellow Burbot in Oswego Harbor

https://www.fws.gov/story/2026-11/service-crew-discovers-rare-yellow-burbot-oswego-harbor
21•tart-lemonade•2d ago•9 comments

How Not to Build a Music Player

https://alichraghi.github.io/blog/how-not-to-build-a-music-player/
147•vinhnx•16h ago•63 comments

Live airband on all frequencies from KORS. Victoria, CA also ground stopped

https://orcasairband.com/
282•mmaunder•17h ago•66 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.