frontpage.
newsnewestaskshowjobs

Open Source @Github

fp.

The AI trade now runs on borrowed money, and the lenders are repricing it

https://greyswansignals.com/?theme=dark
54•haipothetical•59m ago•16 comments

The AI Aesthetic

https://blog.jim-nielsen.com/2026/ai-aesthetic/
229•montroser•5h ago•110 comments

Read this before you buy that TV streaming stick

https://krebsonsecurity.com/2026/07/read-this-before-you-buy-that-tv-streaming-stick/
640•speckx•12h ago•368 comments

I flagged two research papers for fake authors and both were accepted as orals

https://geospatialml.com/posts/reviewing-ai-slop/
139•volumes94•6h ago•57 comments

The Session You Cannot take with you

https://earendil.com/posts/session-portability/
30•apitman•1h ago•1 comments

Stacked PRs are now live on GitHub

https://github.blog/changelog/2026-07-30-stacked-pull-requests-are-now-in-public-preview/
539•tomzorz•12h ago•186 comments

Agent Skill to Force Docs in ASD-STE100 Simplified Technical English

https://github.com/AminBlg/SimpleEnglish
255•navs•9h ago•88 comments

Gemini Robotics 2 brings whole body intelligence to robots

https://deepmind.google/blog/gemini-robotics-2-brings-whole-body-intelligence-to-robots/
515•ai2027•13h ago•413 comments

The bond market isn't buying what Fed Chair Warsh is selling

https://www.reuters.com/commentary/reuters-open-interest/bond-market-isnt-buying-what-fed-chair-w...
71•kaycebasques•1h ago•6 comments

Where USB Memory Sticks Are Born

https://www.bunniestudios.com/blog/2013/where-usb-memory-sticks-are-born/
8•jacquesm•3d ago•0 comments

A California aquifer may have crossed the point of no return

https://www.science.org/content/article/california-aquifer-may-have-crossed-point-no-return
94•Jimmc414•1h ago•75 comments

Investigating three real-world incidents in our cybersecurity evaluations

https://www.anthropic.com/news/investigating-incidents-cybersecurity-evals
142•surprisetalk•6h ago•100 comments

The American Grilled Cheese Sandwich Essay (2024)

https://buttondown.com/theswordandthesandwich/archive/the-best-american-grilled-cheese-sandwich-e...
38•NaOH•3d ago•26 comments

The Religion of Speed

https://graybeard.ing/the-religion-of-speed/
61•MobiusHorizons•5h ago•17 comments

Rune 1.1: adds Python, an Emacs editor, a symbol index and is now free

https://rune.build/blog/rune-1-1-release
69•ernestrc•7h ago•21 comments

Google will expand age checks on Android worldwide till the end of the year

https://android-developers.googleblog.com/2026/07/google-play-age-signals-api-safer-experiences.html
386•dmantis•19h ago•463 comments

Physicists Solve a Muon Mystery. Now, Old Results Don't Add Up

https://www.quantamagazine.org/physicists-solve-a-muon-mystery-now-old-results-dont-add-up-20260729/
197•ibobev•13h ago•116 comments

CodePen 2.0

https://chriscoyier.net/2026/07/30/codepen-2-0/
152•robin_reala•11h ago•44 comments

Bad Apple but It's Traceroute

https://jssfr.de/2026-07-27-bad-apple-but-traceroute.html
87•jssfr•3d ago•22 comments

The Economic Benefit of Refactoring

https://martinfowler.com/articles/exploring-gen-ai/refactoring-economic-benefit.html
219•javaeeeee•14h ago•89 comments

UEFA and its national associations will not participate in FIFA competitions

https://www.uefa.com/news-media/news/02a7-213a92896eb0-54dfbf454e3b-1000--statement-on-behalf-of-...
886•dickfickling•10h ago•486 comments

Memo-1: A 6502 computer built from scratch, using a Minitel as its terminal

https://github.com/MemoireMorte/Memo-1
62•sciences44•2d ago•6 comments

GCC steering committee announces AI policy

https://lwn.net/Articles/1086041/
262•arto•17h ago•304 comments

Show HN: Distilling DeepSeek into GPT-OSS doesn't transfer censorship. Try it

https://www.ctgt.ai/research/distillation-censorship-transfer
103•cgorlla•11h ago•63 comments

Saber-toothed cats became inbred–and struggled to move–before they went extinct

https://www.science.org/content/article/saber-toothed-cats-became-inbred-and-struggled-move-they-...
40•gmays•7h ago•16 comments

Advancing the price-performance frontier with GPT‑5.6

https://openai.com/index/advancing-the-price-performance-frontier-with-gpt-5-6/
536•tedsanders•11h ago•351 comments

2x, not 10x: coding with LLMs in 2026

https://obryant.dev/p/2x-not-10x/
241•tnisonoff•5d ago•192 comments

The lost civic life of movie rental stores

https://thereader.mitpress.mit.edu/the-lost-civic-life-of-movie-rental-stores/
148•facundo_olano•15h ago•199 comments

We Gave GPT 5.6 Sol a Real Business. It Lied, Spammed, and Lost $447

https://www.bottlenecklabs.com/blog/autonomously-run-businesses
333•Areibman•11h ago•197 comments

Rise Reforming (YC S26) Is Hiring

https://www.ycombinator.com/companies/rise-reforming/jobs/wJ9Q9nv-senior-chemical-process-engineer
1•george_rose25•12h ago
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.