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Nvidia agrees to acquire Hugging Face for $13B

https://www.businessinsider.com/nvidia-in-talks-to-buy-hugging-face-13-billion-dollars-2026-8
177•mfiguiere•1h ago•84 comments

Mechanical Turk shutting down September 30

https://www.mturk.com/
143•tmp10423288442•2h ago•52 comments

GLM-5.3-Flash

https://z.ai/blog/glm-5.3-flash
897•Philpax•12h ago•452 comments

Tailcat – Like netcat, but over Tailscale’s data plane

https://github.com/tailscale/tailcat
487•nderjung•8h ago•91 comments

Worst-case glacial lake flood scenarios in a transboundary Himalayan basin 2022

https://nhess.copernicus.org/articles/22/3765/2022/nhess-22-3765-2022.html
76•totetsu•3h ago•29 comments

CEO fired developers to make room for AI. Developers create open source AI CEO

https://github.com/SenteLabsAI/OpenExecutive
20•GrumpySciGuy•38m ago•4 comments

AWS Acquires DuckLabs

https://ducklabs.com/news/2026/08/26/ducklabs-to-join-aws
976•onderkalaci•13h ago•292 comments

Zohran and the Short Link

https://iamwillwang.com/notes/zohran-and-the-short-link/
100•wxw•2h ago•33 comments

Asahi Linux Progress Report: Linux 7.2

https://asahilinux.org/2026/08/progress-report-7-2/
80•pizzaiolo•3h ago•8 comments

An ongoing 3D-printer AGPL violation

https://lwn.net/SubscriberLink/1089390/46116614cc74b814/
313•Velocifyer•8h ago•139 comments

Stripe acquires Clerky

https://www.clerky.com/blog/clerky-is-joining-stripe
67•zakshay•5h ago•13 comments

GitHub Outage Tracker: Is GitHub Cooked?

https://isgithubcooked.com/
189•toomanyrichies•6h ago•114 comments

Actinide is first startup to produce high-assay low-enriched uranium (HALEU)

https://www.actinideinc.com/press/actinide-becomes-first-startup-to-ever-enrich-natural-uranium-t...
137•dsalzman•7h ago•68 comments

U.S. State Department pauses immigrant visa applications

https://www.wsj.com/politics/policy/u-s-state-department-pauses-immigrant-visa-applications-25b31b23
292•sss111•9h ago•395 comments

Qwen3.8-Flash-Next

https://qwen.ai/blog?id=qwen3.8-flash-next
630•tosh•13h ago•202 comments

The Hugging Face incident and the road ahead

https://openai.com/index/hugging-face-incident-and-the-road-ahead/
181•amrrs•7h ago•229 comments

CoMaps: The Offline App That Guided Rescuers Without a Signal in Venezuela

https://hotosm.org/en/news/comaps-the-offline-app-that-guided-rescuers-without-a-signal-in-the-ve...
202•gedankenstuecke•9h ago•46 comments

Serve Markdown to AI Agents with Accept Headers

https://acceptmarkdown.com/
94•tilt•6h ago•54 comments

Twitter Viewer – View Twitter Without Account

https://twitterwebviewer.com/
327•motownphilly•12h ago•163 comments

IBM Unveils Next Generation Dual-Architecture Processor for IBM Z and LinuxONE

https://newsroom.ibm.com/2026-08-24-ibm-unveils-next-generation-dual-architecture-processor-for-i...
87•porridgeraisin•5h ago•60 comments

FDA approves first in class targeted therapy for metastatic pancreatic cancer

https://www.fda.gov/news-events/press-announcements/fda-approves-first-class-targeted-therapy-met...
165•leopoldj•10h ago•43 comments

Show HN: Build your own theme park

https://www.magicpatterns.com/theme-park
35•thealexanderlee•9h ago•17 comments

Nebula Sans

https://www.nebulasans.com
352•GavinAnderegg•11h ago•131 comments

The Harness Is the Thing

https://scott-fryxell.github.io/blog/the-harness-is-the-thing/
41•sfryxell•9h ago•14 comments

Mold: A Massively Parallel Linker

https://arxiv.org/abs/2608.23228
75•matt_d•5h ago•9 comments

High-Resolution Imaging for Statistical Validation of TESS Planet Candidates

https://arxiv.org/abs/2608.21560
4•mikecollier•58m ago•0 comments

Getting video models to learn better, faster

https://www.linum.ai/field-notes/data-filtering-gen-video
3•schopra909•31m ago•0 comments

Launch HN: Risklytics (YC S26) – Insurance brokerage for frontier tech companies

https://www.risklytics.ai/
44•AlexRisio•10h ago•17 comments

Taylor Farms: How One Company's Reach Became a National Risk

https://farmaction.us/taylorfarmsreport/
238•speckx•12h ago•162 comments

Laion Big Video Dataset

https://projects.laion.ai/bvd/
4•ks2048•34m ago•0 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.