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Bug Blindness

https://danluu.com/bug-blind/
183•davidmckenna•6h ago•84 comments

RISC-V is now officially supported by CPython

https://blog.python.org/2026/08/riscv-now-officially-supported/
102•lumpa•5d ago•17 comments

Hy4 preview

https://www.tencent.com/tencent-releases-and-open-sources-tencent-hy4-preview/
257•shenli3514•11h ago•158 comments

FreeCORE TrueNAS Core – Continued

https://freecore.org/
74•sashk•5h ago•46 comments

Creating Teensy ELF Executables for Linux (Or, "Size Is Everything")

https://www.muppetlabs.com/~breadbox/software/tiny/teensy.html
31•Bluestein•4d ago•6 comments

California lawmakers unanimously pass Linux exemption from age-verification law

https://www.tomshardware.com/software/linux/california-lawmakers-unanimously-pass-linux-exemption...
120•shscs911•3h ago•19 comments

Benjamin Franklin's Alter Egos Gave Him the Most Freedom

https://www.smithsonianmag.com/history/among-all-great-things-benjamin-franklin-invented-discover...
42•cisc•5h ago•9 comments

Tether: iMessage, SMS, etc. on Linux

https://zackbartel.com/blog/2026/08/tether/
429•zackb•6d ago•168 comments

Benchmarking Pocket-Scale Inference

https://artificialanalysis.ai/hardware-inference-stack/mobile-phones
31•sys42590•2d ago•1 comments

Nancy Grace Roman Space Telescope

https://science.nasa.gov/mission/roman-space-telescope/
179•JumpCrisscross•15h ago•70 comments

The Rise and Fall of Agent Civilizations

https://www.dwarkesh.com/p/openai-huggingface
48•consumer451•7h ago•6 comments

Lawmakers added $1 to car insurance policies. That money paid for Flock cameras

https://www.texastribune.org/2026/08/28/texas-flock-cameras-auto-insurance-fee-mvcpa-grants/
245•DeepLogin•7h ago•128 comments

Is it safe to call print in a Python signal handler?

https://iafisher.com/2026/08/sigprint
37•hellerve•3d ago•17 comments

SQLite as a Document Database (2020)

https://dgl.cx/2020/06/sqlite-json-support
195•lioeters•5d ago•48 comments

Functional State Machines in Rust: Typestate and Newtype Patterns

https://dl.acm.org/doi/10.1145/3830438.3830958
77•matt_d•11h ago•31 comments

Algorithmic rent-pricing litigation expands under new state and local laws

https://www.morganlewis.com/pubs/2026/08/algorithmic-rent-pricing-litigation-expands-under-new-st...
65•toomuchtodo•4h ago•32 comments

EVE Online moves to Python 3

https://www.eveonline.com/news/view/the-move-to-python-3-begins
333•TylerJaacks•4d ago•183 comments

Calibrate Before You Accelerate: Bias Toward Action in a New Role

https://tucker.wales/writing/bias-towards-action/
145•tuckerwales•13h ago•55 comments

Open Oscar Server: open-source server compatible with AIM and ICQ clients

https://github.com/mk6i/open-oscar-server
24•gregsadetsky•6h ago•8 comments

Glacier Mice

https://en.wikipedia.org/wiki/Glacier_mice
282•ostacke•5d ago•55 comments

A few feral cats in an ALGOL trenchcoat.

https://wiki.xxiivv.com/site/pop2.html
10•bmacho•1d ago•1 comments

Show HN: I missed the moving blocks, so I built a real Linux disk defragmenter

https://github.com/gbin/defragger
49•gbin•4d ago•34 comments

Domain-Driven Agents

https://coldtake.dev/blog/domain-driven-agents
73•AlarQ•11h ago•15 comments

Daycare Pseudoscience

https://worksinprogress.co/issue/daycare-pseudoscience/
24•surprisetalk•1d ago•3 comments

Samsung's Processing-in-Memory (PIM)

https://chipsandcheese.com/p/hot-chips-2026-samsungs-processing
256•ingve•1d ago•98 comments

Good Culture Is the Biggest Productivity Hack, Not AI

https://newsletter.eng-leadership.com/p/good-culture-is-the-biggest-productivity
347•gpi•13h ago•80 comments

Boot a Virtual iPhone via Apple's Virtualization.framework

https://github.com/Lakr233/vphone-cli
397•hentrep•1d ago•106 comments

DHS is using obscure law to snoop on journalists, non-profits, unions

https://www.theguardian.com/us-news/2026/aug/29/trump-dhs-1509-summons-records-journalists-nonpro...
380•firefax•12h ago•73 comments

Recovering Corrupt Zip Files

https://www.construct.net/en/blogs/ashleys-blog-2/recovering-corrupt-zip-files-1895
54•AshleysBrain•3d ago•26 comments

Trees for a Changing Climate and Resilient Urban Forest (2022)

https://www.coolboulder.org/news/trees-for-a-changing-climate-resilient-urban-forest
48•mooreds•14h ago•7 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.