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Dav2d

https://code.videolan.org/videolan/dav2d
132•dabinat•2h ago•45 comments

Inventions for battery reuse and recycling increase more than 7-fold in last 10y

https://www.epo.org/en/news-events/news/inventions-battery-reuse-and-recycling-increase-more-seve...
101•JeanKage•2d ago•4 comments

Unsigned Sizes: A Five Year Mistake

https://c3-lang.org/blog/unsigned-sizes-a-five-year-mistake/
29•lerno•1h ago•19 comments

NetHack 5.0.0

https://nethack.org/v500/release.html
232•rsaarelm•1h ago•43 comments

Do_not_track

https://donottrack.sh/
46•RubyGuy•2h ago•20 comments

Flue is a TypeScript framework for building the next generation of agents

https://flueframework.com/
41•momentmaker•2h ago•12 comments

California to begin ticketing driverless cars that violate traffic laws

https://www.bbc.com/news/articles/clypjx3rg2go
113•geox•2h ago•110 comments

Little Magazines Are Back

https://wsjfreeexpression.substack.com/p/little-magazines-are-back
16•prismatic•2d ago•1 comments

Barman – Backup and Recovery Manager for PostgreSQL

https://github.com/EnterpriseDB/barman
112•nateb2022•3d ago•20 comments

How fast is a macOS VM, and how small could it be?

https://eclecticlight.co/2026/05/02/how-fast-is-a-macos-vm-and-how-small-could-it-be/
197•moosia•10h ago•76 comments

Why does it take so long to release black fan versions?

https://www.noctua.at/en/expertise/blog/how-can-it-take-so-long-to-release-black-fan-versions
636•buildbot•15h ago•268 comments

Roblox shares plummet 18% as child safety measures weigh on bookings

https://www.cnbc.com/2026/05/01/roblox-rblx-stock-child-safety-earnings.html
100•1vuio0pswjnm7•2h ago•58 comments

Uber wants to turn its drivers into a sensor grid for self-driving companies

https://techcrunch.com/2026/05/01/uber-wants-to-turn-its-millions-of-drivers-into-a-sensor-grid-f...
92•nickvec•4h ago•109 comments

Refusal in Language Models Is Mediated by a Single Direction

https://arxiv.org/abs/2406.11717
64•fagnerbrack•6h ago•21 comments

Why IPv6 is so complicated

https://github.com/becarpenter/book6/blob/main/01.%20Introduction%20and%20Foreword/Why%20IPv6%20i...
47•speckx•3d ago•96 comments

The USB Situation

https://randsinrepose.com/archives/the-usb-situation/
48•herbertl•3d ago•61 comments

Why are there both TMP and TEMP environment variables? (2015)

https://devblogs.microsoft.com/oldnewthing/20150417-00/?p=44213
173•ankitg12•11h ago•81 comments

Canonical Under Attack

https://status.canonical.com
18•ta988•58m ago•1 comments

Open Design: Use Your Coding Agent as a Design Engine

https://github.com/nexu-io/open-design
141•steveharing1•7h ago•77 comments

Dotcl: Common Lisp Implementation on .NET

https://github.com/dotcl/dotcl
136•reikonomusha•2d ago•29 comments

America's Expanding Domestic Surveillance

https://www.wsj.com/articles/americas-expanding-domestic-surveillance-08b73187
142•Brajeshwar•4h ago•84 comments

Ti-84 Evo

https://education.ti.com/en/products/calculators/graphing-calculators/ti-84-evo
559•thatxliner•23h ago•451 comments

Welcome to Hell Developer

https://noahclements.com/Wahoo-Bolt-Hidden-Debug-Mode/
12•denysvitali•2h ago•2 comments

Show HN: Pollen – distributed WASM runtime, no control plane, single binary

https://github.com/sambigeara/pollen
85•sambigeara•2d ago•41 comments

Show HN: DAC – open-source dashboard as code tool for agents and humans

https://github.com/bruin-data/dac
84•karakanb•3d ago•29 comments

Also-RANS: Asymmetric Numeral Systems for Entropy Coding

https://fergusfinn.com/blog/understanding-rans/
10•mezark•2d ago•0 comments

Artemis II Photo Timeline

https://artemistimeline.com/#artemis-ii-walkout-nhq202604010003
327•geerlingguy•2d ago•26 comments

AI Self-preferencing in Algorithmic Hiring: Empirical Evidence and Insights

https://arxiv.org/abs/2509.00462
308•laurex•4h ago•161 comments

Zugzwang

https://en.wikipedia.org/wiki/Zugzwang
81•Qem•4h ago•48 comments

New research suggests people can communicate and practice skills while dreaming

https://www.newyorker.com/culture/annals-of-inquiry/its-possible-to-learn-in-our-sleep-should-we
429•XzetaU8•1d ago•251 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/