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GrapheneOS – Break Free from Google and Apple

https://blog.tomaszdunia.pl/grapheneos-eng/
499•to3k•4h ago•319 comments

Four Column ASCII (2017)

https://garbagecollected.org/2017/01/31/four-column-ascii/
247•tempodox•2d ago•50 comments

14-year-old Miles Wu folded origami pattern that holds 10k times its own weight

https://www.smithsonianmag.com/innovation/this-14-year-old-is-using-origami-to-design-emergency-s...
789•bookofjoe•20h ago•169 comments

Rethinking High-School Science Fairs

https://asteriskmag.com/issues/13/rethinking-high-school-science-fairs
37•surprisetalk•3d ago•29 comments

Why I'm Worried About Job Loss and Thoughts on Comparative Advantage

https://www.lesswrong.com/posts/YPJHkciv6ysgsSiJC/why-i-m-worried-about-job-loss-thoughts-on-comp...
22•cubefox•54m ago•16 comments

How teaching molecules to think is revealing what a 'mind' is

https://www.newscientist.com/article/2513815-how-teaching-molecules-to-think-is-revealing-what-a-...
43•pella•3d ago•28 comments

Rendering the Visible Spectrum

https://brandonli.net/spectra/doc/
92•signa11•3d ago•14 comments

Show HN: Glitchy camera – a circuit-bent camera simulator in the browser

https://glitchycam.com
100•elayabharath•1d ago•12 comments

Rise of the Triforce

https://dolphin-emu.org/blog/2026/02/16/rise-of-the-triforce/
342•max-m•17h ago•50 comments

Undo in Vi and Its Successors

https://utcc.utoronto.ca/~cks/space/blog/unix/ViUndoMyViews
16•todsacerdoti•1h ago•15 comments

Poor Deming never stood a chance

https://surfingcomplexity.blog/2026/02/16/poor-deming-never-stood-a-chance/
144•todsacerdoti•12h ago•71 comments

A Programmer's Loss of Identity

https://ratfactor.com/tech-nope2
64•zdw•2d ago•23 comments

A deep dive into Apple's .car file format

https://dbg.re/posts/car-file-format/
125•MrFinch•3d ago•46 comments

Xbox UI Portfolio Site

https://gabrielcabrera.co/
77•valgaze•8h ago•25 comments

What your Bluetooth devices reveal

https://blog.dmcc.io/journal/2026-bluetooth-privacy-bluehood/
475•ssgodderidge•1d ago•176 comments

Visual introduction to PyTorch

https://0byte.io/articles/pytorch_introduction.html
324•0bytematt•4d ago•22 comments

Show HN: Free alternative to Wispr Flow, Superwhisper, and Monologue

https://github.com/zachlatta/freeflow
225•zachlatta•17h ago•105 comments

"Token anxiety", a slot machine by any other name

https://jkap.io/token-anxiety-or-a-slot-machine-by-any-other-name/
191•presbyterian•20h ago•167 comments

Ghidra by NSA

https://github.com/NationalSecurityAgency/ghidra
400•handfuloflight•3d ago•205 comments

DBASE on the Kaypro II

https://stonetools.ghost.io/dbase-cpm/
68•TMWNN•3d ago•33 comments

Show HN: Scanned 1927-1945 Daily USFS Work Diary

https://forestrydiary.com/
104•dogline•15h ago•19 comments

Hear the "Amati King Cello", the Oldest Known Cello in Existence

https://www.openculture.com/2021/06/hear-the-amati-king-cello-the-oldest-known-cello-in-existence...
65•tesserato•4d ago•31 comments

State of Show HN: 2025

https://blog.sturdystatistics.com/posts/show_hn/
115•kianN•18h ago•28 comments

Running NanoClaw in a Docker Shell Sandbox

https://www.docker.com/blog/run-nanoclaw-in-docker-shell-sandboxes/
136•four_fifths•15h ago•66 comments

Neurons outside the brain

https://essays.debugyourpain.com/p/you-are-not-just-your-brain
116•yichab0d•19h ago•53 comments

Dark web agent spotted bedroom wall clue to rescue girl from abuse

https://www.bbc.com/news/articles/cx2gn239exlo
500•colinprince•13h ago•278 comments

Elephant trunk whiskers exhibit material intelligence

https://www.mpg.de/26113474/elephant-trunk-whiskers-exhibit-material-intelligence
18•gmays•3d ago•7 comments

Show HN: Jemini – Gemini for the Epstein Files

https://jmail.world/jemini
420•dvrp•1d ago•81 comments

Building for an audience of one: starting and finishing side projects with AI

https://codemade.net/blog/building-for-one/
92•lorisdev•14h ago•56 comments

Turing Labs (YC W20) Is Hiring – Founding GTM Sales Hacker

1•turinglabs•17h ago
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•10mo ago

Comments

buildsjets•10mo 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•10mo 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•10mo ago
(2003)
throw0101b•10mo 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•10mo ago
Are there any public, open, comprehensive datasets on flights?
dieselerator•10mo 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•10mo 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•10mo 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•10mo 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•10mo 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/