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Jev in 25 Lines of Python

https://www.nobodywho.ai/posts/jev-in-25-lines/
187•bashbjorn•3h ago•55 comments

GPT-6 Sol and Luna

https://openai.com/index/introducing-gpt-6-sol-and-luna/
1553•OfficialTurkey•16h ago•748 comments

Claude Opus 5.5

https://www.anthropic.com/claude-opus-5-5
1564•km144•18h ago•971 comments

Transit rewards

https://waymo.com/blog/2026/09/transit-rewards/
145•raybb•7h ago•153 comments

OpenAI GPT–6 Astra breaks Enigma message that has resisted solution since 2005

https://www.cryptocellar.org/bgac/the-mvueh-break.html
664•sohkamyung•20h ago•387 comments

Microsoft killed FoxPro in 2007. Anyway, here's FoxPro revived

https://foxscript.org/
330•boredjohnny•13h ago•190 comments

Data-only attacks are easier than you think (2024)

https://www.usenix.org/publications/loginonline/data-only-attacks-are-easier-you-think
53•segfaultbuserr•6h ago•21 comments

'We hacked the FBI:' Hackers say they have data on all FBI employees

https://www.404media.co/we-hacked-the-fbi-hackers-say-they-have-data-on-all-fbi-employees/
620•spenvo•16h ago•450 comments

ReBarUEFI: Resizable BAR for almost any UEFI system

https://github.com/xCuri0/ReBarUEFI
161•nateb2022•2d ago•49 comments

How did AMD Ryzen get 50% faster in two years?

https://lemire.me/blog/2026/09/18/how-did-amd-ryzen-get-50-faster-in-two-years/
346•ibobev•4d ago•135 comments

Show HN: Npunlock – Run custom C kernels for Intel NPUs

https://github.com/hsfzxjy/npunlock
28•hsfzxjy•21h ago•7 comments

What California is learning from solar panels built over irrigation canals

https://www.kqed.org/science/2002033/heres-what-california-is-learning-from-solar-panels-built-ov...
221•Jtsummers•1d ago•395 comments

SAML: A fractal of bad design

https://blog.trailofbits.com/2026/09/21/saml-a-fractal-of-bad-design/
249•aray07•15h ago•141 comments

Claude Opus 5.5 Intelligence, Performance and Price Analysis (Max)

https://artificialanalysis.ai/models/claude-opus-5-5
293•theanonymousone•17h ago•92 comments

WordPress: Unauthenticated path traversal leading to conditional RCE

https://github.com/WordPress/wordpress-develop/security/advisories/GHSA-7hp8-65ch-5whp
194•vntok•18h ago•100 comments

Pentagon says overreliance on AI contributed to missile strike on Iran school

https://www.bloomberg.com/graphics/2026-iran-school-attack/
669•devonnull•15h ago•345 comments

No Easy Fix for Bogus Respondents in Online Opt-In Polls

https://www.pewresearch.org/methods/2026/08/27/no-easy-fix-for-bogus-respondents-in-online-opt-in...
34•luu•1d ago•14 comments

Unreal Agent

https://unreallabs.ai/blog/unreal-agent/
192•trollied•16h ago•107 comments

People hooked on vapes try a new way to quit: cigarettes

https://www.bloomberg.com/news/articles/2026-09-18/to-quit-vaping-some-are-starting-to-smoke
192•alephnerd•1d ago•217 comments

The current balance of power in open models

https://www.interconnects.ai/p/the-current-balance-of-power-in-open
92•gmays•12h ago•33 comments

How often do you think about the 1893 World's Fair?

https://www.thebirthofacapital.info/chicago-worlds-fair-tataria-ware-larsen/
21•bryanrasmussen•5h ago•6 comments

Grammarly will send unhinged messages to all your users if you try to cancel

https://www.reddit.com/r/sysadmin/comments/1wjdpgx/psa_grammarly_will_send_unhinged_messages_to_all/
169•ksec•6h ago•49 comments

The softness of metal

https://psyche.co/turning-points/his-frailty-made-ozzys-final-gig-true-heavy-metal
35•NaOH•1d ago•12 comments

Obscura: VPN that can't log your activity

https://obscura.com/#faq-technical
144•Flimm•15h ago•111 comments

OpenAI is well positioned to fast-follow Jev

https://arcturus-labs.com/blog/2026/09/21/will-openai-eat-jevs-lunch/
295•JohnBerryman•20h ago•208 comments

I am done with this shit

https://www.reddit.com/r/ClaudeAI/comments/1wm5c21/i_am_done_with_this_shit/
31•meander_water•2h ago•6 comments

Show HN: JevBench, a reproducible benchmark for typed decision models

https://benchmarkheaven.com/jev-models
110•florianstandhar•21h ago•28 comments

Side-stepping the Secretary Problem, unwittingly

https://www.evalapply.org/posts/side-step-secretary-problem-hiring/index.html
83•pvdebbe•1d ago•13 comments

There is no epidemic of loneliness, but there is an epidemic of scurvy

https://www.experimental-history.com/p/there-is-no-epidemic-of-loneliness
7•luu•3h ago•0 comments

Apple has added persistent 'ads' to iOS, and it's driving users crazy

https://www.techradar.com/phones/iphone/i-wish-apple-would-just-stop-that-crap-apple-has-added-pe...
726•MC995•20h ago•535 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.