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Claude Code sends your email address to websites

https://github.com/anthropics/claude-code/issues/107757
870•motoroco•8h ago•286 comments

sshole

https://sshhole.com
2540•josemrb•18h ago•621 comments

MS Paint Remote Code Execution Vulnerability

https://www.cve.org/CVERecord?id=CVE-2026-83844
447•kuberwastaken•9h ago•171 comments

Pwn.college

https://pwn.college/
77•tripdout•3h ago•9 comments

Nvidia Kubernetes Engine (NVKE)

https://github.com/dsx-ai-factory/nvke
48•gkapur•3h ago•16 comments

Inkling 2 Small

https://thinkingmachines.ai/news/inkling-2-small/
154•Philpax•6h ago•55 comments

How accurately did science fiction stories predict AI?

https://jamesyu.org/science-fiction-predictions-of-ai/
27•jamesjyu•2h ago•28 comments

The Hackintosh Reborn

https://www.naut.ca/blog/2026/11/05/the-hackintosh-reborn-with-ai/
277•rubatuga•11h ago•135 comments

From Linux to Wikipedia: How Volunteers Build the Internet

https://thereader.mitpress.mit.edu/from-linux-to-wikipedia-how-volunteers-build-the-internet/
18•jonbaer•2h ago•2 comments

Window Sweaters

https://github.com/saragordic/window-sweaters
292•nickswalker•13h ago•92 comments

MoofTCP – A modern replacement for MacTCP on 68k Macs

https://github.com/matthewmrichter/mooftcp
37•marcusbasant•5h ago•20 comments

Show HN: Firenook – Firebase emulators in Rust: 40× faster writes, 10× less RAM

https://firenook.dev/
88•sanjevirau•17h ago•16 comments

Launch HN: Rivet (YC W23) – Scale and Orchestrate Agents on S3

https://github.com/rivet-dev/rivet
89•NathanFlurry•13h ago•48 comments

Cuban: Facebook knowingly runs AI deepfake scam ads; docs say $16B fraud revenue

https://finance.yahoo.com/technology/ai/articles/mark-cuban-says-facebook-knowingly-213000020.html
252•randycupertino•7h ago•112 comments

Show HN: A decent text-to-image model trained for ~$20K (Apache 2.0 Weights)

https://www.linum.ai/field-notes/pjit-21k
198•schopra909•1d ago•17 comments

September in Servo: <progress>, rounded rectangles, and more

https://servo.org/blog/2026/11/05/september-in-servo/
220•iamnothere•16h ago•53 comments

Download your favourite YouTube videos

https://criminallyvulgar.dev/you-should-absolutely-download-your-favourite-youtube-videos/
315•surprisetalk•17h ago•147 comments

Motorola Signature 27 with GrapheneOS support

https://motorolanews.com/motorola-signature-27-2/
445•monneyboi•14h ago•325 comments

Goodbye from Salon

https://www.salon.com/2026/11/05/goodbye-from-salon/
541•mkeeter•10h ago•199 comments

I wish tech companies knew more about me

https://rakhim.exotext.com/i-wish-tech-companies-knew-more-about-me
369•freetonik•16h ago•319 comments

Closed AI models dominate the price-performance frontier

https://village.dev/blog/closed-ai-models-now-dominate-the-price-performance-frontier/
50•kevin_hu•3h ago•41 comments

Pangram Image 1.0

https://www.pangram.com/blog/introducing-pangram-image-1-0
89•gmays•11h ago•38 comments

MCP Explained

https://mcp-explained.com/
281•rwilinski•16h ago•118 comments

Obscure audio codec is a perfect fit for the N64

https://phoboslab.org/log/2026/11/n64-ulc-codec
218•frostbyte7•17h ago•27 comments

Search for everyone

https://kagi.com/changelog#11820
629•elashri•10h ago•324 comments

The Stacks Project, Formalized in Lean

https://axiommath.ai/research/the-stacks-project-formalized/
83•namanbnsl•14h ago•23 comments

Baidu released ERNIE 5.5 Flash Base

https://ernie.baidu.com/release/ernie-5-5-flash-base/
172•pretext•21h ago•96 comments

Bild AI (YC W25) Is Hiring Founding Product Engineers

https://www.ycombinator.com/companies/bild-ai/jobs
1•rooppal•13h ago

So my ISP was hijacking my DNS

https://www.karthihegde.dev/posts/dns_tampering
195•frostbyte7•1d ago•143 comments

Show HN: Stroq – a local audit of what your coding agent did and why

https://github.com/AGGIB/Stroq
80•agybay_07•14h ago•29 comments
Open in hackernews

Computational Complexity of Air Travel Planning [pdf] (2003)

http://www.demarcken.org/carl/papers/ITA-software-travel-complexity/ITA-software-travel-complexity.pdf
76•rochoa•1y ago

Comments

buildsjets•1y ago
This is well over 20 years old and is based on pre 9/11 flight data. I would suspect that a lot has changed since then. So proceed with no caution at all.
gwern•1y ago
Since these sorts of things usually only get more and more complex over time, I would guess that it's all still true, but much more so.
throw0101b•1y ago
(2003)
throw0101b•1y ago
The PDF was produced by ITA, which famously used Common Lisp:

* https://en.wikipedia.org/wiki/ITA_Software

From 2001, a message from the same author as the linked paper:

> (Here's an email Carl de Marcken of ITA Software sent to a friend, describing their experiences using Lisp in one of the software industry's most demanding applications.)

* https://www.paulgraham.com/carl.html

Qem•1y ago
Are there any public, open, comprehensive datasets on flights?
dieselerator•1y ago
> Are there any public, open, comprehensive datasets on flights?

Airlines and commercial aviation operators schedule their own flights. That is a dynamic schedulle. So, perhaps there is no "comprehensive data set".

However, FlightAware makes publicly available scheduled and completed flight data over many routes in the USA. You can search by route and get a list of flights.

Flight information includes filed departure time, route of flight, and speed. For completed flights actual time, altitude, and route is shown. For example, a search on the route Dallas/Fort Worth to Austin lists 45 flights.

I hope that helps.

foundart•1y ago
A very interesting dive into, as the title says, the computational complexity of air travel planning. Graph algorithms with lots of complexity added due to the wide variety of fare conditions that airlines have dreamt up over the years.

The article may be from 2003 but I would call it an evergreen. While I imagine some of the details have changed since then, I suspect that the complexity has only grown since then.

foundart•1y ago
It makes me wonder: Would an airline that drastically simplified its fares be more likely to appear in flight search results?

Simplifying the fares would make it less computationally expensive and, in theory, could take fewer steps to answer a flight planning query.

Imagine a flight search planner that, say, fanned out N airline-specific workers when handling a planning query and then displayed to the user whatever results it got back within some time limit. If FooAir had simple fares, the FooAir searcher would likely run faster than searchers for other airlines. Thus it would be more likely to return results for more queries, assuming the deadline is fairly tight because of usability metrics. (People don't tend to stick around waiting for slow results.)

sjburt•1y ago
At least a few years ago (~2014), the fare search was actually nearly instant, but all major airfare search sites added a delay because customers had the impression they were getting a better deal when they had to wait. It seems like the delay has been dialed back lately.
teleforce•1y ago
This is a very popular article that get submitted every now and then (nearly every year) [1].

I think this kind of problem would be a very nice for logic, optimization and constraint programming that probably can be solved with modern tools like Google OR-Tool or Monash University MiniZinc [1],[2],[3].

[1] Past:

https://hn.algolia.com/?query=Computational%20Complexity%20o...

[2] Logic, Optimization, and Constraint Programming: A Fruitful Collaboration - John Hooker - CMU (2023) [video]:

https://www.youtube.com/live/TknN8fCQvRk

[3] Google OR-Tools:

https://developers.google.com/optimization

[4] MiniZinc:

https://www.minizinc.org/