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Open Source @Github

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Make your first edit to OpenStreetMap

https://high5apps.github.io/josm-plugin-website-wizard/
307•juliantigler•8h ago•75 comments

Real-SWE: Benchmarking AI models on private, real-world, enterprise codebases

https://withspecific.com/benchmarks/real-swe
94•theanonymousone•4h ago•58 comments

Nvidia is the central bank of AI

https://www.economist.com/interactive/briefing/2026/09/03/nvidia-is-the-central-bank-of-ai
379•tolugenius•9h ago•260 comments

Apple iPod Engraver (2019)

https://dunstanorchard.com/apple-ipod-engraver/
108•NaOH•3d ago•18 comments

Getting 50 GB/S Back from the Apple Neural Engine

https://eiln.github.io/posts/ane-dma.html
59•eiln•3d ago•11 comments

Stabilizing Rust's Never Type

https://lwn.net/SubscriberLink/1091015/d9e48318ed242b41/
123•cjd8•3d ago•26 comments

LG denies TV spying claims, says tracking and snooping concerns 'not true'

https://www.tomshardware.com/tech-industry/big-tech/lg-strongly-denies-tv-security-claims-says-tr...
424•datakan•2d ago•348 comments

IKEA made a mod for Skyrim [video]

https://www.youtube.com/watch?v=iZODN0QUgjI
555•kegenaar•2d ago•147 comments

We must pace the frontier

https://darioamodei.com/post/we-must-pace-the-frontier
526•apsec112•10h ago•737 comments

Will There Be a 7G?

https://arxiv.org/abs/2609.01877
81•Betelbuddy•7h ago•134 comments

I made a build visualizer to understand Bun's compile times

https://lalitm.com/post/buildprof/
89•lalitmaganti•10h ago•17 comments

Tree Calculus

https://olydis.medium.com/a-visual-introduction-to-tree-calculus-2f4a34ceffc2
6•MelonUsk•4d ago•1 comments

Microcode in Intel's 8087 floating-point chip: the scale instruction

https://www.righto.com/2026/09/8087-microcode-reverse-engineering-fscale.html
87•pwg•9h ago•24 comments

Linux Zoom client proactively reading everything written to X11 clipboard

https://hachyderm.io/@simontatham/117201594980991062
170•encyclopedism•5h ago•53 comments

LG Says We're Fake News [video]

https://www.youtube.com/watch?v=ToP9xfLDSME
146•HelloUsername•5h ago•49 comments

How Trail of Bits helps verify the integrity of Signal chats

https://blog.trailofbits.com/2026/08/11/how-trail-of-bits-helps-verify-the-integrity-of-your-sign...
51•dgroshev•13h ago•29 comments

I fixed a tractor using John Deere's self-repair service. Farmers aren't sold

https://www.wired.com/story/i-fixed-a-tractor-john-deere-self-repair-service/
101•sbulaev•1d ago•105 comments

Retrospectively Reverse-Engineering Apple's Neural Engine

https://eiln.github.io/posts/ane.html
220•zdw•16h ago•31 comments

Android NAT-T keepalive offload bypasses VPN lockdown

https://supuk.ch/papers/android-natt-keepalive-vpn-bypass
171•mhitza•1d ago•44 comments

A Mathematical Framework for Transformer Circuits (2021)

https://transformer-circuits.pub/2021/framework/index.html
80•Bluestein•10h ago•17 comments

Eating Fruit Skins

https://pgadey.ca/blog/eating-fruit-skins/
78•surprisetalk•3d ago•169 comments

Performance of WebAssembly Runtimes in 2026

https://00f.net/2026/06/23/webassembly-runtimes-2026/
87•fagnerbrack•3d ago•20 comments

Killing with a car costs $1.6M, California requires drivers to carry $30K

https://maxmautner.com/2026/09/11/liability-coverage.html
42•mslate•2h ago•32 comments

A Design Space Exploration of Async/Await

https://cel.cs.brown.edu/blog/design-space-async-await/
423•wcrichton•3d ago•123 comments

The Magic Behind Cubacadabra

https://andrewarrow.dev/2026/moon/2/day/19/the-magic-behind-cubacadabra/
10•andrewfromx•2d ago•2 comments

λ Snap – An inviting programming language for kids and adults for CS study

https://snap.berkeley.edu/
176•dr_kiszonka•1d ago•112 comments

The worst spam emails: iLands AI agent hustle

https://tedium.co/2026/09/11/ilands-agents-email-spam-kaixin-tang/
101•ColinWright•13h ago•49 comments

Show HN: See Sounds on Your Webcam

https://soundmap.darebuild.com/
5•jimhi•2d ago•3 comments

LRU is harder to beat than the KV-cache papers suggest

https://github.com/gauravapiscean/agentic-kv-cache
96•gauravapiscean•2d ago•47 comments

google.com/goto: Google's anti-scraping update

https://www.autom.dev/blog/google-search-goto-links
629•1e1a•21h ago•488 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/