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AI fuels more than half of cybercrime in Africa as digital scams surge: INTERPOL

https://www.africanews.com/2026/08/04/ai-fuels-more-than-half-of-cybercrime-in-africa-as-digital-...
27•bookofjoe•40m ago•9 comments

Mistral's Shieldstral: 3B open-weights model for multimodal moderation

https://mistral.ai/news/shieldstral/
249•riadsila•6h ago•62 comments

Security Incident INC-2026-07-28-01 – UK AI Security Institute [pdf]

https://cdn.prod.website-files.com/663bd486c5e4c81588db7a1d/6a724858f7db25c81487016d_Security%20I...
36•_pdp_•49m ago•25 comments

Show HN: Simple algorithm and color space to generate diverse skin tones

https://toneyalexander.github.io/inclusive-color-space/
429•automatoney•7h ago•85 comments

In Memory of My Wife, Elise Cawley, with Thanks for 36 Wonderful Years

https://writings.stephenwolfram.com/2026/08/in-memory-of-my-wife-elise-cawley-1961-2026-with-than...
647•jdcampolargo•3h ago•38 comments

Gwern reties from fulltime writing to launch Guardian Angel Inc

https://twitter.com/i/status/2084739205071343837
10•mattsterett•1h ago•4 comments

Waymo in Dallas

https://waymo.com/blog/shorts/dallas-open-to-all/
195•xnx•4h ago•223 comments

Third-party cyber evaluations involving OpenAI models

https://openai.com/index/third-party-cyber-evaluations-involving-openai-models/
19•glub•1h ago•1 comments

Thanks FedEx, This Is Why We Keep Getting Phished (2024)

https://www.troyhunt.com/thanks-fedex-this-is-why-we-keep-getting-phished/
147•stymaar•1h ago•28 comments

Oxide Computer raises $445M (SEC Form D)

https://www.sec.gov/Archives/edgar/data/1795071/000179507126000002/xslFormDX01/primary_doc.xml
125•depr•2h ago•46 comments

DeepSeek V4 Flash on a Single AMD MI300X

https://github.com/ryanzhou/deepseek-v4-flash-mi300x
352•zhoutong•12h ago•87 comments

Don't stop early: Case-folding source code at memory speed

https://github.blog/engineering/architecture-optimization/dont-stop-early-case-folding-source-cod...
36•sbulaev•4d ago•6 comments

Hop.earth – OpenStreetMap based car racing game

https://hop.earth/?server=lkhr7&route=fQ5nuu9R
71•faebi•4h ago•37 comments

Video2NAND – Abusing video codecs for great computational power

https://sharedobject.blog/posts/vp8-combinatorial-logic/
8•firer•2d ago•0 comments

DuckDB – Data power tools for your laptop, now in Clojure (2023)

https://techascent.com/blog/just-ducking-around.html
3•sourdecor•32m ago•0 comments

Keyv and friends compromised in active Shai-Hulud supply chain attack

https://www.aikido.dev/blog/keyv-and-friends-compromised-in-npm-supply-chain-attack
223•cimi_•11h ago•110 comments

Truemetrics (YC S23) Is Hiring in Berlin – GTM Lead

https://www.ycombinator.com/companies/truemetrics/jobs/bIQQ7tP-founding-gtm-lead
1•truemetricsIngo•5h ago

When AI Benchmarks Plateau: A Systematic Study of Benchmark Saturation

https://arxiv.org/abs/2602.16763
66•doppp•6h ago•74 comments

Why some people mow a lawn better than others

https://pudding.cool/2026/06/mow/
150•carlos-menezes•4h ago•134 comments

Most tech revolutions made work worse for employees

https://www.thisandthat.chat/blog/most-tech-revolutions-made-work-worse-for-employees/
63•jreynar•7h ago•28 comments

Launch HN: EdotEnv (YC S26) – Quant Trading RL Envs to Teach LLMs Research

https://edotenv.com/
24•Mzzzzz•4h ago•19 comments

The Sound of Inevitability

https://www.panoptica.com/the-sound-of-inevitability/
4•WaitWaitWha•4h ago•2 comments

The Warp Agent CLI

https://www.warp.dev/blog/introducing-the-warp-agent-cli-coding-agent
88•emschwartz•5h ago•52 comments

Xbox goes down. You can't play games you own on disc

https://birchtree.me/blog/xbox-goes-down-you-cant-play-games-you-own-on-disc/
545•surprisetalk•10h ago•592 comments

Apple says more ex-employees may have taken confidential data to OpenAI

https://techcrunch.com/2026/08/04/apple-says-more-ex-employees-may-have-taken-confidential-data-t...
310•thewebguyd•7h ago•236 comments

Blackmail Fail (2013)

https://gwern.net/blackmail
29•simonebrunozzi•4h ago•2 comments

There Will Come Soft Rains (1950) [pdf]

https://users.wpi.edu/~zrbutzke/Docs/BradburyStories(1).pdf
337•pmg101•23h ago•370 comments

Harness engineering for self-improvement

https://lilianweng.github.io/posts/2026-07-04-harness/
290•tosh•16h ago•64 comments

Everything I Know (1975)

https://www.bfi.org/about-fuller/everything-i-know/
125•simonebrunozzi•11h ago•31 comments

Perspec 1.0

https://adriansieber.com/announcing-perspec-1-0/
49•surprisetalk•7h ago•12 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.