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Why Janet? (2023)

https://ianthehenry.com/posts/why-janet/
212•yacin•3h ago•93 comments

Adafruit Receives Demand Letter from Fenwick Legal Counsel on Behalf of Flux.ai

https://blog.adafruit.com/
190•semanser•3h ago•57 comments

CSS-Native Parallax Effect

https://dan-webnotes.com/posts/2026-06-02-css-native-parallax-effect/
55•dandep•2h ago•29 comments

The newest Instagram “exploit” is the goofiest I've seen

https://www.0xsid.com/blog/meta-account-takeover-fiasco
1932•ssiddharth•20h ago•437 comments

Can the stockmarket swallow Anthropic, SpaceX and OpenAI?

https://www.economist.com/finance-and-economics/2026/06/01/can-the-stockmarket-swallow-anthropic-...
463•1vuio0pswjnm7•13h ago•810 comments

Apple rejected my dictation app for using the accessibility API

https://www.mitmllc.com/blog/apple-rejected-my-dictation-app/
65•RZelaya•1h ago•45 comments

Muxcard, a dyi credit card size computer

https://github.com/krauseler/muxcard
116•sargstuff•2d ago•32 comments

Great Question (YC W21) Is Hiring Applied AI Interns

https://www.ycombinator.com/companies/great-question/jobs/J5TNvQH-ai-engineer-intern
1•nedwin•1h ago

macOS needs its grid back

https://blog.hopefullyuseful.com/blog/macos-needs-its-grid-back/
301•ranebo•11h ago•175 comments

Webcam head tracking, webcam to control in‑game FOV

https://www.openfov.com/
24•mwit2023•2d ago•21 comments

You Don't Love Systemd Timers Enough

https://blog.tjll.net/you-dont-love-systemd-timers-enough/
42•yacin•3h ago•28 comments

CQL: Categorical Databases

https://categoricaldata.net/
62•noworriesnate•3d ago•16 comments

OpenAI frontier models and Codex are now available on AWS

https://openai.com/index/openai-frontier-models-and-codex-are-now-available-on-aws/
304•typpo•15h ago•108 comments

Chipotlai Max

https://github.com/cyberpapiii/chipotlai-max
276•nigelgutzmann•14h ago•44 comments

Stop Ruining It

https://seths.blog/2026/06/stop-ruining-it/
25•herbertl•3h ago•4 comments

Debug Project

https://debug.com/
240•Eridanus2•16h ago•97 comments

CS336: Language Modeling from Scratch

https://cs336.stanford.edu/
499•kristianpaul•23h ago•48 comments

How is Groq raising more money?

https://www.zach.be/p/how-the-hell-is-groq-raising-more
121•hasheddan•12h ago•57 comments

AI Agent Guidelines for CS336 at Stanford

https://github.com/stanford-cs336/assignment1-basics/blob/main/CLAUDE.md
440•prakashqwerty•20h ago•140 comments

Should you normalize RGB values by 255 or 256?

https://30fps.net/pages/255-vs-256-division/
287•pplanu•19h ago•120 comments

Strace-ui, Bonsai_term, and the TUI renaissance

https://blog.janestreet.com/strace-ui-bonsai-term-and-the-tui-renaissance/
81•matt_d•9h ago•48 comments

Microsoft builds MacBook Pro rival with NVIDIA-powered Surface Laptop Ultra

https://www.windowslatest.com/2026/06/01/microsoft-builds-its-ultimate-macbook-pro-rival-with-the...
241•jbk•1d ago•502 comments

Fooling around with encrypted reasoning blobs

https://blog.cryptographyengineering.com/2026/05/29/fooling-around-with-encrypted-reasoning-blobs/
111•supermatou•4d ago•23 comments

10g Upgrade

https://klaxzy.net/var/infra/10g-upgrade.html
8•klaxzygen•2d ago•3 comments

Show HN: Eyeball

https://eyeball.rory.codes/
16•mrroryflint•4h ago•8 comments

On Reading SRAMs in IR Images, and Establishing Bounds on Trust

https://www.bunniestudios.com/blog/2026/on-reading-srams-in-ir-images-and-establishing-bounds-on-...
11•zdw•1d ago•2 comments

Launch HN: Expanse (YC P26) – Unlock Wasted GPU Capacity

88•ismaeel_bashir•1d ago•25 comments

What appear to be biochemical processes may be a natural feature of geology

https://www.quantamagazine.org/the-dirt-that-refused-to-die-20260601/
249•speckx•22h ago•89 comments

Ask HN: Who is hiring? (June 2026)

208•whoishiring•22h ago•290 comments

A new way to build chips: Sequentially stacking silicon to extend Moore's Law

https://matse.illinois.edu/news/85775
64•hhs•2d ago•38 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.