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GLM-Legal

https://z.ai/blog/glm-legal
151•ilreb•1h ago•97 comments

A Modern Web App in C

https://prophitt.me/writing/a-modern-web-app-in-c
79•prophittcorey•1h ago•37 comments

Thinking Will Become a Hobby

https://www.spinellis.gr/blog/20261008/?li261008
25•pranitha_m•50m ago•6 comments

AI coding agents generate more code, but not more software

https://arstechnica.com/ai/2026/10/ai-coding-agents-generate-more-code-but-not-more-software/
14•gumby•30m ago•4 comments

Launch HN: Agent37 (YC F26) – Low-cost agent sandboxes for running agents

19•vishnukool•58m ago•3 comments

The Making Of Super Mario 64 – full Giles Goddard interview (2001)

https://pixelatron.com/blog/the-making-of-super-mario-64-full-giles-goddard-interview-ngc/
158•gregsadetsky•1d ago•58 comments

Turn a WiFi 7 Router into a 320Msps Software Defined Radio Receiver

https://github.com/h0m3us3r/w1700k-sdr
71•djfergus•5h ago•20 comments

Muse Wonder

https://research.meta.ai/blog/muse-wonder
138•meetpateltech•56m ago•57 comments

Kevin Kelly's 2016 AI Predictions, 10 Years Later

https://taylor.town/kk-ai-2026
24•surprisetalk•2h ago•5 comments

Fingerprints are the new cookies

https://royfish.dev/fingerprints-are-the-new-cookies
633•royfish•19h ago•306 comments

Show HN: PS2 games statically recompiled to WebAssembly

https://github.com/snuri00/ps2-web-recomp
200•deadxwarrior•10h ago•108 comments

Fridges in French supermarkets hit by cyber attack

https://www.bbc.com/news/articles/crq5nzxv9q4yo
68•cataflam•2h ago•30 comments

Type-safe HTML templating in Zig

https://lalinsky.com/2026/10/11/type-safe-html-templating-in-zig.html
204•lukaslalinsky•12h ago•75 comments

Total Annihilation, rebuilt for modern computers

https://nanolathe.gg
634•jttnr•23h ago•242 comments

Incident with Actions, Pull Requests and Issues

https://www.githubstatus.com/incidents/93njd414rpbx
124•dkpk•5h ago•114 comments

Living in the Weimar Era of Ruby

https://blog.julik.nl/2026/10/the-weimar-of-ruby
67•julik•6h ago•33 comments

Secret of Orange Cats Revealed After 60-Year Search

https://www.sciencealert.com/secret-of-orange-cats-finally-revealed-after-60-year-search
158•bookofjoe•1d ago•134 comments

I Found a $90k Remote Code Execution Vulnerability in Google

https://simonkoeck.com/writeups/google-devsite-flask-session-pickle-rce
90•soeckly•10h ago•39 comments

Calculus with Julia

https://jverzani.github.io/CalculusWithJuliaNotes.jl/
223•subset•2d ago•42 comments

An Unmade Film Shaped Hayao Miyazaki

https://animationobsessive.substack.com/p/an-unmade-film-shaped-hayao-miyazaki
43•vinhnx•3h ago•5 comments

Running the unmodified Linux amdgpu driver on an iPad

https://github.com/Geramy/LemonSeed-Studio
74•joshcsimmons•1d ago•19 comments

Hackers heat French supermarket fridges, sparking fires and food losses

https://www.reuters.com/business/retail-consumer/french-supermarket-chain-intermarche-hit-by-cybe...
35•salaryman777•2h ago•4 comments

Choreographic Programming in Rust

https://github.com/hibanaworks/hibana
44•o8vm•1d ago•33 comments

QGIS: No A contributions permitted

https://github.com/qgis/QGIS-Enhancement-Proposals/pull/387
333•bwnkl•6h ago•357 comments

Bag of Decisions Reranker

https://softwaredoug.com/blog/2026/10/08/bag-of-decisions.html
61•zdw•2d ago•10 comments

Terence Tao: Math 2.0 [pdf]

https://teorth.github.io/tao-web/slides/math-2-0-caltech-2026.pdf
488•Anon84•1d ago•483 comments

Reverse engineer anything with agents, from app behavior down to native binaries

https://github.com/morluto/rea
12•taytus•1h ago•0 comments

Cartographers of North Korea (2019)

https://cartographers-nk.wonyoung.so/
306•edent•21h ago•62 comments

(Post-Quantum) Cryptographic Right Answers

https://words.filippo.io/right-answers/
29•gavide•5h ago•1 comments

Doory – Open-Source Canva

https://github.com/shaongitbd/doory
185•acley•16h ago•68 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/