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An entire Herculaneum scroll has been read for the first time

https://scrollprize.org/firstscroll
926•verditelabs•8h ago•208 comments

The 'papers, please' era of the internet will decimate your privacy

https://expression.fire.org/p/the-papers-please-era-of-the-internet
323•bilsbie•2h ago•145 comments

Un-0: Generating Images with Coupled Oscillators

https://unconv.ai/blog/introducing-un-0-generating-images-with-coupled-oscillators/
101•babelfish•3h ago•27 comments

A game where you're an OS and have to manage processes, memory and I/O events

https://github.com/plbrault/youre-the-os
80•exploraz•2d ago•18 comments

Oxide computer 3D rack guided tour

https://explorer.oxide.computer/
282•darthcloud•3d ago•115 comments

The Garbage Collection Handbook: The Art of Automatic Memory Management (2nd Ed)

https://gchandbook.org/
22•teleforce•1h ago•3 comments

Show HN: OpenKnowledge – open source AI-first alternative to Obsidian/Notion

https://github.com/inkeep/open-knowledge
191•engomez•8h ago•83 comments

IBM debuts sub-1 nanometer chip technology

https://newsroom.ibm.com/2026-06-25-ibm-debuts-worlds-first-sub-1-nanometer-chip-technology
253•porridgeraisin•9h ago•146 comments

An oral history of Bank Python (2021)

https://calpaterson.com/bank-python.html
63•tosh•4h ago•18 comments

Om Malik has died

https://om.co/2026/06/24/1966-2026/
328•minimaxir•4h ago•33 comments

Migrating from Proxmox to NixOS and Incus

https://www.nijho.lt/post/proxmox-to-nixos/
37•wasting_time•3h ago•21 comments

Parallel Parentheses Matching

https://williamdue.github.io/blog/parallel-parentheses-matching
44•Athas•4h ago•8 comments

Show HN: Chess-Inspired Roguelike

https://princechazz.com
209•cowboy_henk•4d ago•70 comments

Zig's new bitCast semantics and LLVM back end improvements

https://ziglang.org/devlog/2026/#2026-06-25
211•kouosi•10h ago•82 comments

The Doorman's Fallacy in action

https://rozumem.xyz/posts/17
44•rozumem•4h ago•73 comments

OS9Map

https://yllan.org/software/OS9Map/
176•LaSombra•9h ago•27 comments

Apple raises prices of MacBooks, iPads

https://www.reuters.com/world/asia-pacific/apple-raises-prices-macbooks-ipads-memory-costs-skyroc...
610•virgildotcodes•11h ago•878 comments

The last Romans are still around

https://signoregalilei.com/2026/06/20/the-last-romans-are-still-around/
32•surprisetalk•3d ago•55 comments

The annotated PyTorch training loop

https://idlemachines.co.uk/essays/pytorch-training-loop
57•smaddrellmander•3d ago•10 comments

Military branches restore flu shot requirement after virus swept through base

https://arstechnica.com/health/2026/06/military-branches-restore-flu-shot-requirement-after-virus...
77•tzs•2h ago•29 comments

Besimple AI (YC P25) Is Hiring

https://www.ycombinator.com/companies/besimple-ai/jobs/yWfhhOR-strategic-projects-lead-audio-data
1•yzhong94•7h ago

You can't unit test for taste

https://dev.karltryggvason.com/you-cant-unit-test-for-taste/
240•kalli•1d ago•117 comments

What is the mechanical world picture?

http://edwardfeser.blogspot.com/2026/06/what-is-mechanical-world-picture.html
5•danielam•2d ago•0 comments

GloriousEggroll's Proton has been rebased on Proton 11

https://github.com/GloriousEggroll/proton-ge-custom/releases/tag/GE-Proton11-1
52•d3Xt3r•1d ago•21 comments

Advanced Nintendo Entertainment System (ANES) – NES Modded to Use 2 PPUs

https://github.com/decrazyo/anes
96•zdw•2d ago•32 comments

The disappearance of Japan's animators

https://economist.com/interactive/1843/2026/06/19/the-strange-disappearance-of-japans-animators
142•andsoitis•4d ago•115 comments

Political bias in AI: Where the AI models stand

https://trakkr.ai/bias
113•mektrik•11h ago•226 comments

Record type inference for dummies

http://haskellforall.com/2026/06/record-type-inference-for-dummies
3•g0xA52A2A•2d ago•0 comments

RRB-Trees: Efficient Immutable Vectors (2012) [pdf]

https://infoscience.epfl.ch/server/api/core/bitstreams/e5d662ea-1e8d-4dda-b917-8cbb8bb40bf9/content
34•azhenley•1d ago•7 comments

Show HN: I made Google Trends for Hacker News by indexing 18 years of comments

https://hackernewstrends.com
647•ytkimirti•10h ago•143 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.