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"As a Language Model": Chat Template Switches LLM Self-Referential Voice

https://arxiv.org/abs/2609.25021
28•yu3zhou4•1h ago•20 comments

Flip Fluid on Flip Dots

https://mitxela.com/projects/flipflip
114•blutack•1d ago•11 comments

Does Georgism work? Five years later

https://www.astralcodexten.com/p/does-georgism-work-five-years-later
363•silveraxe93•1d ago•263 comments

OpenAI Feared "Optics" of what might appear on Hacker News

https://authorsguild.org/news/ag-v-openai-top-execs-knew-mass-book-piracy-was-illegal/
261•papergirl•5h ago•226 comments

Go Concurrency Distilled

https://antonz.org/go-concurrency-distilled/
236•chmaynard•21h ago•94 comments

Meta Blocks President Lula's Facebook Page, Campaign Ads 2 Weeks from Election

https://www.reddit.com/r/worldnews/comments/1wr3id3/meta_blocks_president_lulas_facebook_page_and/
209•rbanffy•2h ago•120 comments

Finally, A True Blue Rose Exists

https://www.sciencenews.org/article/true-blue-rose-pigment-copigment
20•bookofjoe•1d ago•5 comments

PipePipe: NewPipe hard fork implementing SponsorBlock

https://github.com/InfinityLoop1308/PipePipe
429•Qision•2d ago•233 comments

DeepSeek Elastic Compute (DSec)

https://arxiv.org/abs/2609.22978
259•shenli3514•17h ago•85 comments

Improving site performance by shipping more CSS

https://github.blog/engineering/architecture-optimization/improving-site-performance-by-shipping-...
53•torutofu•22h ago•30 comments

Show HN: Reladraw – A diagram language where you decide where to place things

https://github.com/reladraw/reladraw
321•jpwalsh234•18h ago•87 comments

Show HN: LightCloud – A cloud console organised like file system

https://www.light-cloud.com/
5•yullius•1h ago•2 comments

The internet discovers TLA+. Now what?

https://reasonable.io/blog/tla-tutorial/
24•matt_d•6h ago•13 comments

A searchable library of forgotten public-domain film clips from 1915 onward

https://www.movingimagearchive.com/
178•momentmaker•2d ago•26 comments

ASML says it sold 'absolutely nothing' in Europe in 2026

https://www.tomshardware.com/tech-industry/semiconductors/asml-says-its-sells-absolutely-nothing-...
302•MC995•1d ago•669 comments

Biology might not be quantum, but its math is quantumlike

https://www.quantamagazine.org/biology-might-not-be-quantum-but-its-math-is-quantumlike-20260923/
78•pseudolus•2d ago•25 comments

Evolving programming languages in the AI era

https://dashbit.co/blog/evolving-ai-era
105•pjm331•2d ago•63 comments

Fifteen years later, the Apple Cards origin story

https://lexontech.org/fifteen-years-later-the-apple-cards-origin-story
402•ksec•1d ago•103 comments

Teaching a World Model to Play Pokemon

https://nostalgia.dev/posts/teaching-a-world-model-to-play-pokemon/
11•stmonty•1d ago•17 comments

An agent used DNS to reach an external chatbot

https://alignment.openai.com/misalignment-reports/an-agent-used-dns-to-reach-an-external-chatbot/
106•apsec112•1d ago•107 comments

Drawgent: Coding agent on a live Excalidraw canvas

https://tangled.org/yanndegat.tngl.sh/drawgent
157•parasitid•19h ago•42 comments

What is the size of Yemen? (2024)

https://theborys.substack.com/p/what-is-the-size-of-yemen
182•kspacewalk2•8h ago•62 comments

How I changed teaching after AI managed to do all my homework assignments

https://thelastsoftwareengineer.substack.com/p/how-i-changed-teaching-after-ai-managed
221•azhenley•2d ago•195 comments

Promising discoveries about the potential for life on one of Saturn’s icy moons

https://www.fu-berlin.de/en/presse/informationen/fup/2026/fup_26_116-enceladus-cassini-mikroben-s...
67•geox•1d ago•37 comments

Reverse-engineering the Intel 8087's tangent algorithm: more than CORDIC

https://www.righto.com/2026/09/8087-tangent-cordic.html
83•pwg•18h ago•11 comments

How to keep enjoying programming in a world of LLMs

https://discourse.haskell.org/t/how-to-keep-enjoying-programming-in-a-world-of-llms/14705
240•signa11•1d ago•278 comments

Turning GLM-5.3-Flash into a Jev-like decision model

https://www.privatemode.ai/blog/system-one-from-glm-flash
100•flxflx•19h ago•39 comments

Exploding variance of means of exponentials: least-squares to the rescue

https://francisbach.com/spectral_log_density_estimation/
34•matt_d•1d ago•0 comments

Generate fonts where every LLM token is the same width

https://ampdot.mesh.host/token-space-fonts.html
69•z-mach9•1d ago•14 comments

Modern Object Pascal Introduction for Programmers

https://castle-engine.io/modern_pascal
176•birdculture•3d ago•77 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.