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Linux Sandboxes and Fil-C

https://fil-c.org/seccomp
262•pizlonator•13h ago•71 comments

Using e-ink tablet as monitor for Linux

https://alavi.me/blog/e-ink-tablet-as-monitor-linux/
164•yolkedgeek•4d ago•63 comments

I fed 24 years of my blog posts to a Markov model

https://susam.net/fed-24-years-of-posts-to-markov-model.html
208•zdw•16h ago•87 comments

Recovering Anthony Bourdain's Li.st's

https://sandyuraz.com/blogs/bourdain/
223•thecsw•15h ago•95 comments

Dagger: Define software delivery workflows and dev environments

https://dagger.io/
10•ahamez•5d ago•2 comments

Cat Gap

https://en.wikipedia.org/wiki/Cat_gap
132•Petiver•4d ago•31 comments

I tried Gleam for Advent of Code

https://blog.tymscar.com/posts/gleamaoc2025/
299•tymscar•19h ago•166 comments

Compiler Engineering in Practice

https://chisophugis.github.io/2025/12/08/compiler-engineering-in-practice-part-1-what-is-a-compil...
8•dhruv3006•4h ago•2 comments

Closures as Win32 Window Procedures

https://nullprogram.com/blog/2025/12/12/
74•ibobev•12h ago•13 comments

Lean theorem prover mathlib

https://github.com/leanprover-community/mathlib4
49•downboots•10h ago•0 comments

An Implementation of J (1992)

https://www.jsoftware.com/ioj/ioj.htm
66•ofalkaed•11h ago•25 comments

Getting into Public Speaking

https://james.brooks.page/blog/getting-into-public-speaking
10•jbrooksuk•4d ago•4 comments

No-Tifier (2017)

https://subject.space/projects/no-tifier/
26•aebtebeten•3d ago•6 comments

Mystery Science Theater 3000: The Definitive Oral History of a TV Masterpiece

https://www.wired.com/2014/04/mst3k-oral-history/
61•indigodaddy•6d ago•11 comments

If a Meta AI model can read a brain-wide signal, why wouldn't the brain?

https://1393.xyz/writing/if-a-meta-ai-model-can-read-a-brain-wide-signal-why-wouldnt-the-brain
102•rdgthree•10h ago•58 comments

The Rise of Computer Games, Part I: Adventure

https://technicshistory.com/2025/12/13/the-rise-of-computer-games-part-i-adventure/
109•cfmcdonald•16h ago•51 comments

Useful patterns for building HTML tools

https://simonwillison.net/2025/Dec/10/html-tools/
299•simonw•3d ago•84 comments

VPN location claims don't match real traffic exits

https://ipinfo.io/blog/vpn-location-mismatch-report
413•mmaia•16h ago•257 comments

Bye, Mom

https://aella.substack.com/p/bye-mom
65•reducesuffering•4h ago•12 comments

Go Proposal: Secret Mode

https://antonz.org/accepted/runtime-secret/
199•enz•4d ago•93 comments

Heavy metal is healing teens on the Blackfeet Nation

https://www.hcn.org/issues/57-11/heavy-metal-is-healing-teens-on-the-blackfeet-nation/
88•cdrnsf•8h ago•35 comments

An off-grid, flat-packable washing machine

https://www.positive.news/society/flat-pack-washing-machine-spins-a-fairer-future/
113•ohjeez•13h ago•64 comments

Create a Markdown Editor in Ruby on Rails

https://blog.appsignal.com/2025/12/10/create-a-markdown-editor-in-ruby-on-rails.html
16•amalinovic•3d ago•0 comments

Ask HN: How can I get better at using AI for programming?

359•lemonlime227•20h ago•364 comments

From Azure Functions to FreeBSD

https://jmmv.dev/2025/12/from-azure-functions-to-freebsd.html
111•todsacerdoti•6d ago•21 comments

Cryptids

https://wiki.bbchallenge.org/wiki/Cryptids
116•frozenseven•1w ago•16 comments

Why Twilio Segment moved from microservices back to a monolith

https://www.twilio.com/en-us/blog/developers/best-practices/goodbye-microservices
243•birdculture•16h ago•212 comments

Dhtml Lemmings (2004)

https://www.elizium.nu/scripts/lemmings/index.php
37•tetris11•5d ago•12 comments

Using Python for Scripting

https://hypirion.com/musings/use-python-for-scripting
142•birdculture•6d ago•95 comments

Researchers seeking better measures of cognitive fatigue

https://www.nature.com/articles/d41586-025-03974-w
144•bikenaga•3d ago•38 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•7mo ago

Comments

buildsjets•7mo 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•7mo 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•7mo ago
(2003)
throw0101b•7mo 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•7mo ago
Are there any public, open, comprehensive datasets on flights?
dieselerator•7mo 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•7mo 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•7mo 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•7mo 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•7mo 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/