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An ESP32 based plane radar for my desk

https://blog.ktz.me/esp32-plane-radar/
87•alexktz•3h ago•14 comments

A shell colon does nothing. Use it anyway

https://refp.se/articles/your-shell-and-the-magic-colon
51•olexsmir•16h ago•13 comments

JetZero

https://www.jetzero.aero
148•lisper•3h ago•103 comments

Show HN: I mapped every US golf course

https://golfcoursebrowser.com/
97•rickmf•4h ago•42 comments

The new rules of context engineering for Claude 5 generation models

https://claude.com/blog/the-new-rules-of-context-engineering-for-claude-5-generation-models
262•mellosouls•9h ago•167 comments

Inflect-Micro-v2: complete voice in 9.36M parameters

https://huggingface.co/owensong/Inflect-Micro-v2
79•nateb2022•5h ago•6 comments

Rethinking Legal Education in the AI Era

https://www.law.uchicago.edu/news/ai-strategy-statement
53•jjwiseman•2d ago•15 comments

Clinical failure rates over the decades: yikes

https://www.science.org/content/blog-post/clinical-failure-rates-over-decades-yikes
85•EA-3167•7h ago•48 comments

W4ME Station – a WASM-4 runtime for Java ME phones

https://github.com/mulfyx/w4me-station
11•sqshi•2h ago•1 comments

Systems and Delays

https://martin.janiczek.cz/2026/07/24/systems-and-delays.html
50•vinhnx•5h ago•13 comments

Librrd Playground

https://systemf.epfl.ch/etc/librrd/
4•E-Reverance•4d ago•0 comments

Alien World Chemistry Found Inside Meteorite That Struck New Jersey Home

https://www.seti.org/news/alien-world-chemistry-found-inside-meteorite/
35•spzx•4h ago•9 comments

Running a 28.9M parameter LLM on an $8 microcontroller

https://github.com/slvDev/esp32-ai
144•boveyking•11h ago•29 comments

Stinkpot: SQLite-backed shell history

https://tangled.org/oppi.li/stinkpot
15•nerdypepper•1d ago•1 comments

Cloudflare's new AI traffic options for customers

https://blog.cloudflare.com/content-independence-day-ai-options/
89•alphabetatango•7h ago•61 comments

LLM Usage in Debian: Three Proposals

https://www.debian.org/vote/2026/vote_002
126•zdw•10h ago•112 comments

GM Backs Sodium Ion Batteries for U.S. Grid Storage

https://spectrum.ieee.org/sodium-ion-battery-peak-energy
164•rbanffy•8h ago•66 comments

Open-weight AI is having its Kubernetes moment

https://tobi.knaup.me/2026-07-25-open-weight-ai-is-having-its-kubernetes-moment/
360•tknaup•15h ago•283 comments

Agatha Christie's Disappearance: Amnesia, Suicide, or Despair?

https://www.historicmysteries.com/unexplained-mysteries/agatha-christie-disappearance/23136/
18•thunderbong•3d ago•6 comments

SIMD for Collision

https://box2d.org/posts/2026/07/simd-for-collision/
82•birdculture•3d ago•26 comments

Zero roadkill as Amazon canopy bridges secure 15,000 crossings

https://news.mongabay.com/2026/07/zero-roadkill-as-amazon-canopy-bridges-secure-15000-crossings/
340•hn_acker•3d ago•98 comments

Humans haven't stopped evolving

https://www.harvardmagazine.com/research/harvard-human-evolution-genes-selective-pressure
51•ilamont•3h ago•49 comments

Show HN: I made some transistor animations

https://brandonli.net/semisim/animations
155•stunningllama•1d ago•19 comments

Producing ammonia and fertiliser using wind power in Morris, Minnesota

https://ammoniaenergy.org/articles/flexible-renewable-ammonia-demonstrator-now-operational-in-min...
115•gritzko•10h ago•80 comments

Show HN: Brolly, a plain-text weather forecast site

https://brolly.sh/forecast/RWFP2qW8
167•jsax•12h ago•50 comments

Retry Storm Lab

https://github.com/telemetry-sh/retry-storm-lab
5•flurly•3d ago•0 comments

Turn And Face The Strange

https://fly.io/blog/kurt-scott-money-sprites/
186•subarctic•9h ago•126 comments

Memory Safety Absolutists

https://itsallaboutthebit.com/memory-safety-absolutists/
81•drogus•12h ago•114 comments

Did They Ghost You?

https://didtheyghostyou.com/
359•mooreds•10h ago•162 comments

Android May Soon Restrict On-Device ADB

https://kitsumed.github.io/blog/posts/android-may-soon-restrict-on-device-adb/
902•shscs911•23h ago•445 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.