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Previewing GPT‑5.6 Sol: a next-generation model

https://openai.com/index/previewing-gpt-5-6-sol/
910•minimaxir•12h ago•553 comments

Why does kinetic energy increase quadratically, not linearly, with speed? (2011)

https://physics.stackexchange.com/questions/535/why-does-kinetic-energy-increase-quadratically-no...
158•ProxyTracer•6h ago•70 comments

WordStar: A Writer's Word Processor (1996)

https://www.sfwriter.com/wordstar.htm
15•droidjj•1h ago•8 comments

U.S. allows Anthropic to release Mythos AI to ‘trusted’ US organizations

https://www.semafor.com/article/06/27/2026/us-releases-powerful-anthropic-model-mythos-to-some-us...
315•bobrenjc93•6h ago•321 comments

Show HN: Hacker News on a train station-style flip board

https://popflame.quickish.space/hn-flipboard/
37•PaybackTony•4h ago•6 comments

MicroVMs: Run isolated sandboxes with full lifecycle control

https://aws.amazon.com/blogs/aws/run-isolated-sandboxes-with-full-lifecycle-control-aws-lambda-in...
295•justincormack•3d ago•165 comments

AI in mathematics is forcing big questions

https://spectrum.ieee.org/ai-in-mathematics
83•rbanffy•6h ago•51 comments

Hellishly Slow Level 13 Deflate Compression

https://kirill.korins.ky/articles/hellishly-slow-level-13-deflate-compression/
22•zX41ZdbW•4d ago•2 comments

Fusion Programming Language

https://fusion-lang.org/
21•efrecon•2d ago•5 comments

U.S. government will decide who gets to use GPT-5.6

https://www.washingtonpost.com/technology/2026/06/26/openai-says-us-government-will-vet-users-its...
920•alain94040•10h ago•984 comments

The gap between open weights LLMs and closed source LLMs

https://blog.doubleword.ai/frontier-os-llm
160•kkm•7h ago•129 comments

A C++ implementation of a fast hash map and hash set using hopscotch hashing

https://github.com/Tessil/hopscotch-map
79•gjvc•7h ago•13 comments

Om

https://daringfireball.net/2026/06/om
236•throw0101a•5h ago•14 comments

Show HN: DBOSify – Drop-in Temporal replacement built on Postgres

https://github.com/dbos-inc/dbosify-py
38•KraftyOne•2d ago•7 comments

We can still stop California's 3D printer surveillance scheme

https://www.eff.org/deeplinks/2026/06/we-can-still-stop-californias-3d-printer-surveillance-scheme
305•hn_acker•7h ago•109 comments

Foreign funds help make housing unaffordable: research

https://news.mccombs.utexas.edu/research/foreign-funds-help-make-housing-unaffordable/
25•hhs•5h ago•5 comments

Anatomy of a Failed (Nation-State?) Attack

https://grack.com/blog/2026/06/25/dissecting-a-failed-nation-state-attack/
6•signa11•2h ago•1 comments

Making Sense of Proof by Contradiction [pdf]

https://www.foster77.co.uk/Foster,%20Scottish%20Mathematical%20Council%20Journal,%20Making%20sens...
21•surprisetalk•3d ago•6 comments

Ultrasound imaging of the brain

https://alephneuro.com/blog/ultrasound-brain
258•rossant•17h ago•107 comments

Show HN: Smart model routing directly in Claude, Codex and Cursor

https://github.com/workweave/router
158•adchurch•12h ago•91 comments

Hightouch (YC S19) Is Hiring

https://hightouch.com/careers#open-positions
1•joshwget•8h ago

Long Wave radio era set to end with Droitwich switch-off

https://www.bbc.com/news/articles/c74yn7v7k4qo
72•speckx•9h ago•30 comments

What Is a Nomogram and Why Would It Interest Me?

https://lefakkomies.github.io/pynomo-doc/introduction/introduction.html#what-is-a-nomogram-and-wh...
100•Eridanus2•11h ago•18 comments

A Tiny Compiler for Data-Parallel Kernels

https://healeycodes.com/a-tiny-compiler-for-data-parallel-kernels
32•healeycodes•1d ago•4 comments

Show HN: Turn images into audio that can be decoded with a spectrogram

https://nsspot.herokuapp.com/imagetoaudio/
3•jupr•2d ago•0 comments

The "Bizarre Headgear" exhibit at the Sam Noble museum

https://svpow.com/2026/05/15/the-bizarre-headgear-exhibit-at-the-sam-noble-museum-is-incredible/
72•surprisetalk•3d ago•7 comments

Pre-Modern Armies for Worldbuilders, Part III: Paying for It

https://acoup.blog/2026/06/26/collections-pre-modern-armies-for-worldbuilders-part-iii-paying-for...
74•jfoucher•11h ago•12 comments

A human postmortem of the 1996 AOL outage

https://ngrok.com/blog/aol-was-down-1996
49•EndEntire•2d ago•10 comments

PlayStation Is Deleting 551 Movies from Customers' Accounts

https://kotaku.com/playstation-store-movies-digital-studio-canal-terminator-2000711013
223•ortusdux•9h ago•127 comments

Ask HN: MacBook vs. Dedicated GPU for LLM

15•mzubairtahir•1h ago•28 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.