frontpage.
newsnewestaskshowjobs

Open Source @Github

fp.

Jeff – Jev-compatible 0.8B decision models, trained at home, ~30 ms

https://github.com/firelex/jeff
178•firelex•3h ago•57 comments

Pirating the Pirates

https://mubi.com/en/notebook/posts/pirating-the-pirates
373•piotrgrabowski•7h ago•201 comments

12,000-year-old Göbeklitepe burials explain scattered bones

https://archaeologymag.com/2026/09/gobeklitepe-burials-hundreds-of-scattered-bones/
55•yusufaytas•2d ago•11 comments

MicroLLM Lab – Try 7 tiny LLM's in the browser

https://stateofutopia.com/experiments/microllmlab/
102•logicallee•4h ago•47 comments

World Labs Is Joining AMD

https://www.worldlabs.ai/blog/amd-announcement
146•mfiguiere•3h ago•49 comments

Scientists solve 1840s space weather mystery

https://arstechnica.com/science/2026/09/scientists-solve-1840s-space-weather-mystery/
36•gumby•3h ago•24 comments

Hijacking the PS5's RTMP stream

https://yashgarg.dev/posts/hijacking-ps5-rtmp-stream/
176•ibobev•8h ago•57 comments

Flock Wants the Most Detailed Map of Its Surveillance Cameras Taken Offline

https://theintercept.com/2026/09/24/how-many-flock-devices-in-united-states-300000/
116•bookofjoe•2h ago•50 comments

Kids turned low-traffic NPR Spotify comments into a secret group chat

https://www.thisamericanlife.org/897/transcript
244•simonpure•8h ago•151 comments

Parley: Federated, decentralised chat that speaks plain IRC

https://git.mills.io/prologic/parley
291•davidcollantes•13h ago•159 comments

Joseph Szabo’s pictures of American adolescents

https://www.newyorker.com/culture/photo-booth/the-teen-portraits-that-captivated-sofia-coppola
68•prismatic•5h ago•34 comments

What reversing, modernising old games tells us about the economic impact of AI

https://this.os.isfine.org/blog/posts/what-reverse-engineering-and-modernising-an-old-war-game-te...
40•keeda•1d ago•8 comments

It's Time to Investigate the AI Labs

https://calnewport.com/its-time-to-investigate-the-ai-labs/
195•ibobev•3h ago•63 comments

Sonnet 5.5

https://www.anthropic.com/claude-sonnet-5-5
519•D2OQZG8l5BI1S06•5h ago•349 comments

3D necroprinting: Leveraging biotic material as the nozzle for 3D printing

https://www.science.org/doi/10.1126/sciadv.adw9953
11•ColinWright•1d ago•2 comments

Show HN: HN.watch – Videos of all Hacker News posts

https://hn.watch/
117•mrborgen•8h ago•73 comments

Nvidia wants to put a watchdog chip next to every AI agent

https://www.cnbc.com/2026/09/28/nvidia-releases.html
82•jonbaer•7h ago•129 comments

Cf: The Agentic CLI for the Cloudflare API

https://blog.cloudflare.com/cloudflare-cf-cli-launch/
104•macleos•8h ago•44 comments

Does Reddit have an astroturfing problem? What the data suggests

https://www.petervijeh.com/projects/reddit-astroturf
73•p-s-v•10h ago•104 comments

First Steps of the PLC Organization – Independent Public Ledger of Credentials

https://blog.plcred.org/3mwlphq42d227
34•embedding-shape•4h ago•19 comments

Show HN: Destroy Any Website with Stickman

https://destroy.spritefusion.com/
91•HugoDz•7h ago•26 comments

Launch HN: Vespper (YC F24) – SOTA Docx MCP

https://www.vespper.com/blog/launching-vespper-docx-mcp
29•topaztee•6h ago•8 comments

Updated Google Maps shows destruction of the city of Rafah

https://twitter.com/AliAbunimah/status/2103890594137309425
123•slowin•8h ago•42 comments

What heraldry and Japanese mon can teach about visual-identity generators

https://benovermyer.com/blog/2026/09/japanese-vs-western-heraldry/
63•bovermyer•8h ago•20 comments

Who wrote Elizabeth I's most scathing letters?

https://www.smithsonianmag.com/history/who-wrote-elizabeth-is-most-scathing-letters-new-research-...
33•benbreen•5h ago•18 comments

MongoDB CEO resigns to join Meta

https://www.reuters.com/technology/mongodb-ceo-desai-steps-down-lead-metas-enterprise-platform-20...
314•diek•8h ago•254 comments

ESP32S3 cluster running 1.58-bit (BitNet) Language model

https://github.com/Low-Zi-Hong/ESP32s3-LLM-Cluster
4•nkko•2h ago•0 comments

Best of British Design

https://best-of-british-design.vercel.app/
51•ArisC•3h ago•29 comments

When did Google get so weird?

https://sancho.bearblog.dev/google-weird/
1830•sancho-panza•1d ago•1022 comments

GrapheneOS – When an app is slow

https://blog.wirelessmoves.com/2026/09/grapheneos-when-an-app-is-slow.html
76•speckx•5h ago•41 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.