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Mark Zuckerberg: "Cambridge Analytica" (2017)

https://twitter.com/TechEmails/status/2099214399840059428
142•mfiguiere•1h ago•49 comments

Why is Google still serving dodgy ads?

https://www.atomic14.com/2026/09/13/why-is-google-still-serving-dodgy-ads
384•iamflimflam1•4h ago•178 comments

Julia 1.13 Highlights

https://julialang.org/blog/2026/09/julia-1.13-highlights/
81•eigenspace•3d ago•3 comments

Astra and Fable still hack on simple variants of alignment evals from 2025

https://www.lesswrong.com/posts/munJKF7iWMsWJLAH2/astra-and-fable-still-hack-on-simple-variants-o...
321•Levitating•7h ago•150 comments

Flawed Routers Flood University of Wisconsin Internet Time Server (2003)

https://pages.cs.wisc.edu/~plonka/netgear-sntp/
16•walrus01•1h ago•0 comments

Data collected by cars and sold to third parties

https://www.theverge.com/column/994172/your-car-is-selling-your-data
212•bookofjoe•7h ago•119 comments

Claude Fable 5.1 Solves the Cyphral Distich, a 370-year-old cipher

https://www.vals.ai/blogs/fable-solves-cyphral-distich
9•u1hcw9nx•33m ago•0 comments

Global Shortage Has Led to Motor Oil Rationing at Costco

https://guessingheadlights.com/global-shortage-has-led-to-motor-oil-rationing-at-costco/
140•mikhael•3h ago•106 comments

JetKVM Mini

https://jetkvm.com/blog/introducing-jetkvm-mini
485•taubek•13h ago•188 comments

There Is No AI (It's Just People) with Jaron Lanier

https://singjupost.com/startalk-there-is-no-ai-really-its-just-people-w-jaron-lanier-transcript/
40•andsoitis•1h ago•40 comments

Why is the x86 undefined instruction called ud2? Why 2?

https://devblogs.microsoft.com/oldnewthing/20260910-00/?p=112689
161•ibobev•9h ago•39 comments

Making Startups Powerful

https://paulgraham.com/powerful.html
109•tosh•7h ago•51 comments

Reverse engineering my e-scooter and rewriting the firmware in Rust

https://bensimms.moe/reverse-engineering-scooter/
304•vinhnx•3d ago•75 comments

CUDA for AMD on Windows

https://github.com/Speedstu/CUDA-for-AMD-Windows
113•chiassedu80•7h ago•62 comments

Bad Code Is Kudzu

https://vickiboykis.com/2026/09/01/bad-code-is-kudzu/
9•surprisetalk•3d ago•3 comments

Sean Carroll explains the biggest ideas in the universe – Full Interview [video]

https://www.youtube.com/watch?v=_TBNJyztai0
55•binyu•2d ago•12 comments

Reverse-Engineering Claude Web's MicroVM: Uncovering Anthropic's Hidden Antspace

https://aprilnea.me/en/blog/reverse-engineering-claude-code-antspace
30•rzk•2d ago•7 comments

Why are AI agents lying, cheating and coordinating?

https://yoshuabengio.org/en/publication/why-are-ai-agents-lying-cheating-and-coordinating
549•jonifico•20h ago•633 comments

Garry Tan wants US open-weight AI labs to 'distill' frontier models, too

https://techcrunch.com/2026/09/11/y-combinators-garry-tan-wants-u-s-open-weight-ai-labs-to-distil...
266•TheJCDenton•5h ago•136 comments

Device Drivers lab exercise – COSC562

https://web.eecs.utk.edu/~smarz1/courses/cosc562/drivers.html
18•azhenley•3h ago•2 comments

I'm being cyberattacked by Tesla, Inc

https://dreamstation.systems/personal/tesla.html
347•robinpie•3h ago•98 comments

Libraries Run Rust Inside Python (With PyO3)

https://belderbos.dev/blog/how-libraries-run-rust-inside-python/
46•lumpa•6h ago•29 comments

AI recursive self-improvement might not come so quickly after all (August 2026)

https://www.technologyreview.com/2026/08/18/1142188/ai-recursive-self-improvement/
33•dgellow•2h ago•28 comments

Cpak – OCI application package format for Linux desktops, servers and devices

https://cpak.it/
36•xlmnxp•6h ago•12 comments

'Fingerprints' inside the Sun could reveal if it once swallowed a planet

https://ras.ac.uk/news-and-press/research-highlights/fingerprints-inside-sun-could-reveal-if-it-o...
102•blincoln•9h ago•38 comments

Alan's Random Insult Generator (1999)

https://alanbellows.com/experiments/insult/index.html
62•DamnInteresting•2d ago•23 comments

TailTalk: A modern async user space AppleTalk stack with Rust and Tokio

https://github.com/FeralFirmware/TailTalk/
59•zdw•21h ago•13 comments

Make your first edit to OpenStreetMap

https://high5apps.github.io/josm-plugin-website-wizard/
583•juliantigler•1d ago•138 comments

Romania soccer introduces black card to 'combat abusive behaviour' from parents

https://www.nytimes.com/athletic/7586821/2026/09/12/football-black-card-referee/
80•thunderbong•4h ago•51 comments

David Sacks: OpenAI and Anthropic Don't Need Regulations to Pace Frontier Models

https://twitter.com/DavidSacks/status/2098973625252708460
198•kolanos•4h ago•150 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.