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Libghostty 1.0

https://mitchellh.com/writing/libghostty-1-0
415•mfiguiere•5h ago•69 comments

A Jev that can ask Opus for help gives Opus accuracy at 4x lower cost

https://hightouch.com/blog/llm-judges-identity-resolution
405•theanomaly•9h ago•90 comments

Tesla to wind down Cybertruck production

https://www.nbcnews.com/tech/tech-news/tesla-wind-cybertruck-production-years-poor-sales-markets-...
926•PLenz•17h ago•1787 comments

I Toured Unitree's Factory. I'm More Bullish on the West

https://josef.cn/blog/unitree
77•josefchen•4h ago•52 comments

What do the next 4000 emoji look like?

https://jenniferdaniel.substack.com/p/what-do-the-next-4000-emoji-look
25•lacieargyle•1d ago•13 comments

RealPage rent-pricing case wraps with nearly $360M to renters

https://www.multifamilydive.com/news/realpage-rent-pricing-case-360m-renters/873553/
74•raybb•5h ago•31 comments

Firecracker VM Escape: PwnEscape Part 2

https://pwn.ai/blog/firecracker-escape
203•SerCe•9h ago•99 comments

US FAA says it will phase out floppy disks from air traffic control by 2028

https://www.reuters.com/world/us/us-faa-says-it-will-phase-out-floppy-disks-air-traffic-control-b...
306•ChrisArchitect•1d ago•246 comments

The Flash C Compiler

https://blog.adafruit.com/2026/10/31/flash-c-compiler/
14•AlexeyBrin•3d ago•0 comments

Greece has its own Pompeii: Thera buried Akrotiri in ash 17th-16th century BCE

https://www.smithsonianmag.com/history/greece-has-its-own-pompeii-and-the-ruins-tell-a-captivatin...
54•derbOac•3d ago•4 comments

Notes on San Marino

https://mattlakeman.org/2026/11/05/notes-on-san-marino/
34•yorwba•12h ago•5 comments

The AI sell-off compared to well-known stock market crashes

https://www.kadoa.com/companies/insights/ai-selloff-perspective
35•hubraumhugo•3h ago•24 comments

Lighting the Skies

https://computer.rip/2026-10-25-searchlights.html
11•dverlaeckt80•1h ago•1 comments

AI is dramatically accelerating AI research

https://www.planned-obsolescence.org/p/ai-is-dramatically-accelerating-ai
248•yurivish•8h ago•197 comments

Can GROUP BY still be optimized after all these years?

https://pivotlake.io/blog/know-your-limit-faster-top-k-aggregation/
62•ntur1337•3d ago•4 comments

First steps in bare-metal programming using UEFI

https://kevinboone.me/efitest_index.html
208•LaSombra•12h ago•38 comments

Panthera: Ampere's CPU Performance Model

https://github.com/AmpereComputing/panthera
22•mshockwave•3d ago•6 comments

GitHub's new Git storage architecture

https://github.blog/engineering/architecture-optimization/inside-githubs-new-git-storage-architec...
99•DAlperin•10h ago•19 comments

Restaurant Delivery Payment-Skimming Campaign

https://www.infohawk.com/news/2026-11-05-scamwich-restaurant-skimming
107•fiej•10h ago•56 comments

Devvm.dev: One VM for every project

https://devvm.dev/
137•luispa•11h ago•55 comments

Google has acquired Crusoe's data center site in southeast Wyoming

https://www.crusoe.ai/resources/newsroom/crusoe-wyoming-data-center-campus-update
56•rexbee•9h ago•11 comments

Sodium-ion batteries approach cost parity with LFP

https://www.pv-magazine.com/2026/11/06/sodium-ion-batteries-approach-cost-parity-with-lfp-with-70...
156•doener•6h ago•75 comments

Show HN: Did prediction markets do any predicting this midterms?

https://app.artifactbin.dev/@vivek/AQTt2H-did-prediction-markets-predict-the-midterms
15•nuwandavek•1h ago•6 comments

Show HN: Tmux-restore saves tmux windows and agent sessions across reboots

https://github.com/andrewboldi/tmux-restore
22•boldi•3d ago•8 comments

Gemini Omni 1.2 Flash

https://blog.google/innovation-and-ai/technology/developers-tools/introducing-gemini-omni-1-2-flash/
308•thisisauserid•15h ago•223 comments

How tall can you build with 54 Jenga blocks?

https://johnjwang.com/post/2026/10/25/tallest-jenga-tower
9•johnjwang•2d ago•4 comments

Show HN: Waymark – A workflow engine that compiles jobs instead of replaying

https://github.com/piercefreeman/waymark
54•icyfox•1d ago•15 comments

Chomsky and the two cultures of statistical learning (2011)

https://www.norvig.com/chomsky.html
116•andsoitis•21h ago•92 comments

Memorilla: Latent Semantic Memory for LLMs

https://arxiv.org/abs/2610.21375
101•handfuloflight•11h ago•10 comments

UpCodes (YC S17) is hiring SDR's to sell AI compliance software

https://up.codes/careers?utm_source=HN
1•Old_Thrashbarg•12h ago
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.