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Claude Haiku 5.5

https://www.anthropic.com/claude-haiku-5-5
282•sfkgtbor•1h ago•132 comments

GPT‑6 and Intelligent UI for everyone

https://openai.com/index/gpt-6-for-everyone/
179•joshuawright11•1h ago•76 comments

Visa, Mastercard, Major Banks Facing New Litigation over 'Anticompetitive' Fees

https://www.classaction.org/news/visa-mastercard-major-banks-facing-new-litigation-over-anticompe...
324•DeepLogin•4h ago•174 comments

Docker Agent

https://github.com/docker/docker-agent
45•saikatsg•1h ago•14 comments

Meta and Microsoft Limit Employee Use of Claude AI Tools

https://www.rswebsols.com/news/meta-and-microsoft-take-steps-to-reduce-employee-usage-of-claude-ai/
15•speckx•30m ago•8 comments

Shipping JPEG XL in Chrome

https://developer.chrome.com/blog/jpeg-xl-in-chrome
397•AshleysBrain•7h ago•254 comments

Show HN: Bigwords.page – Turn any screen into a sign. The URL is the app

https://bigwords.page/
160•SpeakingOfBrad•3h ago•54 comments

Animated ASCII Art for Web Pages

https://ascii.rest/
173•turrini•4h ago•45 comments

Redis in the Wild: Unexpectedly Bumping into Antirez in His Hometown

https://orazioscicolone.it/posts/2026-10-04-meetantirez/
19•skiwithuge•1d ago•6 comments

A font recreated from photographs of classic Commodore 64 keycaps

https://github.com/szabadkai/c64-keyboard-font/
336•sohkamyung•10h ago•57 comments

Wood Tape (2004)

http://gamesbyemail.com/WoodTape/Default.htm
99•NaOH•1d ago•10 comments

Nobel Prize in Chemistry 2026 to Henri B. Kagan and Kenso Soai

https://www.nobelprize.org/prizes/chemistry/2026/press-release/
257•sasvari•9h ago•46 comments

AI-assisted proof of optimal packing for 11 squares

https://github.com/Queuingtheorydotcom/11SquaresFormalized
87•bluepeter•5h ago•38 comments

Show HN: Agent.reviews – Where AI agents read and write reviews on tools

https://agent.reviews/
6•screm•2h ago•3 comments

ShinyHunters Extorted Boeing Spin-Off Prior to Arrests

https://krebsonsecurity.com/2026/10/shinyhunters-extorted-boeing-spin-off-prior-to-arrests/
45•speckx•4h ago•8 comments

Show HN: Durable Actors – OSS Durable Objects with configurable compute

https://github.com/TerseAI/durable-actors
26•thomask1995•1d ago•18 comments

Sharing AI progress in mathematics

https://openai.com/index/sharing-ai-progress-in-mathematics/
1176•OfficialTurkey•21h ago•1327 comments

ICANN Reveals 2026 Round Applications for New Generic Top-Level Domains

https://www.icann.org/en/announcements/details/icann-reveals-2026-round-applications-for-new-gene...
3•ChrisArchitect•18m ago•1 comments

How machines learned precision

https://glinscott.github.io/how-machines-learned-precision/
7•glinscott•1d ago•4 comments

Anti-Patterns in Software Blogging

https://refactoringenglish.com/blog/anti-patterns-software-blogging/
145•ilreb•6h ago•68 comments

God of War on PSP, recompiled to WebAssembly and running in the browser

https://github.com/snuri00/psp-web-recomp
110•sn001•7h ago•50 comments

Write Like It's 1866: LLMs Relearn Telegraphese

https://fiveminutesforward.com/post/2026-10-04-telegraph-test/
74•Theory42•7h ago•48 comments

EmDash uses Clef to moderate the plugin registry

https://emdashcms.com/blog/how-emdash-uses-clef-to-moderate-the-plugin-registry
13•ascorbic•2h ago•3 comments

3D-printing platform rapidly produces complex electric machines

https://news.mit.edu/2026/3d-printing-platform-rapidly-produces-complex-electric-machines-0218
28•rbanffy•1d ago•17 comments

All the numbers: Amazon Prime Day 2026 powered by AWS

https://aws.amazon.com/blogs/aws/all-the-numbers-amazon-prime-day-2026-powered-by-aws/
30•acronpolis•5h ago•19 comments

Open source 160 sound visualization experiments

https://www.kagan.in/iwrzwr/visual-archive/
36•kaganin•3h ago•8 comments

Reverse Engineering of the M-VAVE FM-1 Pocket Synthesizer Firmware

https://github.com/AL-255/FM-1-RE
43•0bytes•4h ago•24 comments

VECOS – A windows-like operating system for the Vectrex for the UVMC2 [video]

https://www.youtube.com/watch?v=9ranfp_vz30
24•CharlesW•20h ago•5 comments

AI Model Groupthink

https://magicnumbers.io/2026/10/06/ai-model-groupthink/
10•io84•1h ago•2 comments

The Auditor's Opinion

https://www.cringely.com/2026/07/16/the-auditors-opinion/
21•colinprince•3d ago•14 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.