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QBittorrent breaks out of sandbox to commit crimes

https://beige.party/@intransitivelie/117057396732763183
362•mraniki•3h ago•61 comments

Intellectual Fly Is Open (2025)

https://bcantrill.dtrace.org/2025/12/05/your-intellectual-fly-is-open/
281•cyb0rg0•4h ago•155 comments

Isar Aerospace reaches orbit and deploys payloads on second flight

https://isaraerospace.com/press/history-for-european-spaceflight-isar-aerospace-reaches-orbit-and...
412•mpweiher•9h ago•120 comments

A/I shuts down – Stay human

https://keepitfree.ai/announcements/a/i-shuts-down-stay-human/
243•captainmuon•2h ago•129 comments

Doomscrolling Ourselves to Death

https://www.edwest.co.uk/p/doomscrolling-ourselves-to-death
213•shubhamjain•4h ago•140 comments

Alberta (Canada) slaps punitive tax on solar panels

https://albertapolitics.ca/2026/09/ucp-slaps-punitive-tax-on-solar-panels-opening-new-front-in-it...
31•cmrdporcupine•1h ago•32 comments

Is There I/O After Death? What Happens to Io_uring When a Process Dies

https://blog.ydb.tech/is-there-i-o-after-death-what-happens-to-io-uring-when-a-process-dies-92c65...
19•porridgeraisin•3d ago•1 comments

What is Nueralese and Why is it Bad

https://www.lesswrong.com/posts/RCYF2rW8wgusidZk7/what-is-neuralese-and-why-is-it-bad
42•tristanMatthias•2d ago•36 comments

The many mysteries and lessons of the Bayeux tapestry

https://economist.com/interactive/culture/2026/09/03/the-many-mysteries-and-lessons-of-the-bayeux...
33•andsoitis•2h ago•5 comments

M-DISC – DVD/Blu-ray compatible discs that may last up to 1000 years

https://en.wikipedia.org/wiki/M-DISC
128•gurjeet•4d ago•49 comments

Show HN: Kadō – open-source habit tracker, with non-binary habit score, for iOS

https://github.com/scastiel/kado
31•scastiel•2h ago•9 comments

Asahi Linux Now Officially Supports Apple M3 Macs – With Caveats

https://www.phoronix.com/news/Asahi-Linux-Official-M3
110•mdp2021•2h ago•56 comments

NetBSD 9.5 released and EOL for NetBSD-9

https://blog.netbsd.org/tnf/entry/netbsd_9_5_released_and
8•jaypatelani•52m ago•0 comments

Research carried out using NetBSD

https://www.netbsd.org/gallery/research.html
5•Bluestein•26m ago•0 comments

I Feel about AI

https://beza1e1.tuxen.de/ai_feelings.html
117•qznc•1h ago•112 comments

Cultivating Trust

https://kaeruct.github.io/posts/2026/09/06/conquering-entropy-cultivating-trust/
3•kaeruct•33m ago•1 comments

Cloud in a Bottle: making self-hosting accessible to everyone

https://cloudinabottle.org/blog/launch-post
539•zplizzi•16h ago•267 comments

The revolt of the reader

https://bcantrill.dtrace.org/2026/09/05/the-revolt-of-the-reader/
499•chmaynard•18h ago•238 comments

The pencil case model of creativity

https://dub.uu.nl/en/column/pencil-case-model-creativity
33•jruohonen•4h ago•11 comments

I'm teaching an introductory 12 week course on Quantum Oracle Engineering

https://shukla.io/quantum-oracle-engineering/
22•BinRoo•3h ago•10 comments

IBM Quantum Nighthawk R2

https://www.ibm.com/quantum/blog/nighthawk-r2
54•fuglede_•3d ago•31 comments

Music Theory for Programmers

https://runjs.app/blog/music-theory-for-programmers
270•birdculture•3d ago•172 comments

Household Laser Cuts

https://cceckman.com/writing/household-laser-cuts/
33•evakhoury•1d ago•7 comments

When did French fries become the standard side to serve with a hamburger?

https://www.reddit.com/r/AskHistorians/comments/39v00a/comment/cs72af6/
7•thunderbong•28m ago•0 comments

Ganon's Mysterious Origins (Revisited)

https://www.thrillingtalesofoldvideogames.com/blog/ganon-name-origin-kamen-rider
9•tobr•20h ago•1 comments

The ColorChecker, photography's most important 24 squares, turns 50

https://www.dpreview.com/news/the-colorchecker-photographys-most-important-24-squares-turns-50/
108•sohkamyung•4d ago•19 comments

AI, Tools and Transformation

https://www.ben-evans.com/benedictevans/2026/9/3/ai-tools-and-transformation
125•firexcy•14h ago•56 comments

Discovery of a new OpenAI agent message board

https://collusion.wiki/
2241•moultano•2d ago•1567 comments

Fileregister: Tagging and reference layer for your files, in plain text

https://github.com/rhsev/fileregister
15•ingve•5d ago•2 comments

AMD Based FreeBSD Desktop Reloaded

https://vermaden.wordpress.com/2026/09/06/amd-based-freebsd-desktop-reloaded/
96•vermaden•14h ago•12 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/