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Inkling: Our Open-Weights Model

https://thinkingmachines.ai/news/introducing-inkling/
750•vimarsh6739•9h ago•188 comments

SQLite should have (Rust-style) editions

https://mort.coffee/home/sqlite-editions/
141•gnyeki•4h ago•58 comments

G# – A modern .NET language with Go, Kotlin, and Swift ergonomics

https://davidobando.github.io/gsharp/
41•serial_dev•4d ago•12 comments

Grok Build is open source

https://github.com/xai-org/grok-build
300•skp1995•6h ago•346 comments

Governments, companies, nonprofits should invest in free, open source AI [pdf]

https://www.siegelendowment.org/wp-content/uploads/2026/07/fortune-david-siegel-open-source-ai.pdf
101•bilsbie•5h ago•45 comments

Stripe and Advent have made a joint offer to acquire PayPal – sources

https://www.reuters.com/business/finance/stripe-advent-offer-buy-paypal-more-than-53-billion-sour...
373•rvz•23h ago•217 comments

Bluesky Trademarks ATProto

https://atproto.com/blog/at-protocol-trademark
15•chaosharmonic•1h ago•1 comments

LLM Networking with MikroTik

https://blog.greg.technology/2026/07/14/llm-networking-with-mikrotik.html
59•gregsadetsky•4h ago•22 comments

Metal-Organic Frameworks, Chemistry's New Miracle Materials (2018)

https://chemistry.berkeley.edu/news/meet-metal-organic-frameworks-chemistry%E2%80%99s-new-miracle...
43•andsoitis•4h ago•10 comments

Job queues are deceptively tricky

https://typesanitizer.com/blog/job-queues.html
32•ingve•1d ago•6 comments

CatchCat – Pokémon Go for Cats, IRL

https://www.catchcat.lol/
11•marojejian•5d ago•3 comments

Running Gemma 4 26B at 5 tokens/sec on a 13-year-old Xeon with no GPU

https://www.neomindlabs.com/2026/06/08/running-gemma-4-26b-at-5-tokens-sec-on-a-13-year-old-xeon-...
245•neomindryan•11h ago•159 comments

Show HN: One More Letter

https://playonemoreletter.com/
52•hmate9•4h ago•31 comments

Duskers, the scary command line game, is getting a sequel

https://elbowgreasegames.substack.com/p/misfits-attic-announces-duskers-20
99•spacemarine1•7h ago•24 comments

Brainless: Shadcn components that look like Claude Code, Codex and Grok

https://brainless.swerdlow.dev
103•benswerd•7h ago•21 comments

Command Line Interface Guidelines

https://clig.dev/
80•subset•3d ago•13 comments

Book prizes don't work how you think

https://rebeccamakkai.substack.com/p/book-prizes-dont-work-how-you-think
88•samclemens•1d ago•41 comments

Nul Characters in Strings in SQLite

https://sqlite.org/nulinstr.html
35•basilikum•4h ago•10 comments

Prioritize mental health, and why communication is so important

https://ramones.dev/posts/mental-health/
297•ramon156•15h ago•256 comments

Voxatron

https://www.lexaloffle.com/voxatron.php
70•lsferreira42•7h ago•19 comments

Mysteries of Telegram Data Centers (2022)

https://dev.moe/en/3025
243•theanonymousone•13h ago•132 comments

Collection of Digital Clock Designs

https://clocks.dev
189•levmiseri•10h ago•36 comments

P2P local file transfer based on WebRTC

https://pairdrop.net/
38•halb•4h ago•16 comments

The Anti-Mac User Interface (1996)

https://www.nngroup.com/articles/anti-mac-interface/
60•ninglor•4h ago•20 comments

Designing APIs for Agents

https://www.freestyle.sh/blog/opinion/designing-apis-for-agents
59•benswerd•2d ago•28 comments

Artie (YC S23) Is Hiring Software Engineers

https://jobs.ashbyhq.com/artie
1•tang8330•10h ago

Towards a harness that can do anything

https://eardatasci.github.io/c/ambiance/index.html
179•evakhoury•13h ago•92 comments

Show HN: misa77 - a codec that decodes 2x faster than LZ4 (at better ratios)

https://github.com/welcome-to-the-sunny-side/misa77
134•nonadhocproblem•11h ago•40 comments

Show HN: Firefox in WebAssembly

https://developer.puter.com/labs/firefox-wasm/
146•coolelectronics•6h ago•86 comments

Today I Rescued 7,234 Old GIFs

https://danq.me/2026/07/10/rescuing-7234-gifs/
115•birdculture•3d ago•10 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.