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Pico-Banana-400k

https://github.com/apple/pico-banana-400k
137•dvrp•4h ago•16 comments

A worker fell into a nuclear reactor pool

https://www.nrc.gov/reading-rm/doc-collections/event-status/event/2025/20251022en?brid=vscAjql9kZ...
277•nvahalik•5h ago•168 comments

The Linux Boot Process: From Power Button to Kernel

https://www.0xkato.xyz/linux-boot/
163•0xkato•7h ago•43 comments

GenAI Image Editing Showdown

https://genai-showdown.specr.net/
33•rzk•3h ago•4 comments

California invests in battery energy storage, leaving rolling blackouts behind

https://www.latimes.com/environment/story/2025-10-17/california-made-it-through-another-summer-wi...
241•JumpCrisscross•10h ago•179 comments

PCB Edge USB C Connector Library

https://github.com/AnasMalas/pcb-edge-usb-c
46•walterbell•4h ago•20 comments

The Journey Before main()

https://amit.prasad.me/blog/before-main
196•amitprasad•10h ago•69 comments

Show HN: Chonky – a neural text semantic chunking goes multilingual

https://huggingface.co/mirth/chonky_mmbert_small_multilingual_1
17•hessdalenlight•18h ago•1 comments

Project Amplify: Powered footwear for running and walking

https://about.nike.com/en/newsroom/releases/nike-project-amplify-official-images
65•justinmayer•9h ago•56 comments

D2: Diagram Scripting Language

https://d2lang.com/tour/intro/
89•benzguo•7h ago•16 comments

Show HN: Diagram as code tool with draggable customizations

https://github.com/RohanAdwankar/oxdraw
157•RohanAdwankar•9h ago•36 comments

How programs get run: ELF binaries (2015)

https://lwn.net/Articles/631631/
84•st_goliath•9h ago•3 comments

NextSilicon reveals new processor chip in challenge to Intel, AMD

https://www.reuters.com/business/nextsilicon-reveals-new-processor-chip-challenge-intel-amd-2025-...
39•simojo•3d ago•10 comments

Why I code as a CTO

https://www.assembled.com/blog/why-i-code-as-a-cto
114•johnjwang•1d ago•72 comments

Agent Lightning: Train agents with RL (no code changes needed)

https://github.com/microsoft/agent-lightning
66•bakigul•10h ago•9 comments

An Update on TinyKVM

https://fwsgonzo.medium.com/an-update-on-tinykvm-7a38518e57e9
96•ingve•9h ago•23 comments

Generalized K-Means Clustering

https://github.com/derrickburns/generalized-kmeans-clustering
3•derrickrburns•5d ago•1 comments

Tsdown – The Elegant Bundler for Libraries

https://tsdown.dev/
9•jcbhmr•3h ago•1 comments

Doctor Who archive expert shares positive update on missing episode

https://www.radiotimes.com/tv/sci-fi/doctor-who-missing-episodes-update-teases-announcement-newsu...
72•gnabgib•6d ago•33 comments

Show HN: Shadcn/UI theme editor – Design and share Shadcn themes

https://shadcnthemer.com
95•miketromba•10h ago•31 comments

Rock Tumbler Instructions

https://rocktumbler.com/tips/rock-tumbler-instructions/
169•debo_•13h ago•82 comments

AI, Wikipedia, and uncorrected machine translations of vulnerable languages

https://www.technologyreview.com/2025/09/25/1124005/ai-wikipedia-vulnerable-languages-doom-spiral/
77•kawera•10h ago•37 comments

WebDAV isn't dead yet

https://blog.feld.me/posts/2025/09/webdav-isnt-dead-yet/
140•toomuchtodo•1d ago•65 comments

Passwords and Power Drills

https://google.github.io/building-secure-and-reliable-systems/raw/ch01.html#on_passwords_and_powe...
78•harporoeder•4d ago•17 comments

We do not have sufficient links to the UK for Online Safety Act to be applicable

https://libera.chat/news/advised
222•todsacerdoti•13h ago•70 comments

ARM Memory Tagging: how it improves C/C++ memory safety (2018) [pdf]

https://llvm.org/devmtg/2018-10/slides/Serebryany-Stepanov-Tsyrklevich-Memory-Tagging-Slides-LLVM...
59•fanf2•9h ago•24 comments

An Efficient Implementation of SELF (1989) [pdf]

https://courses.cs.washington.edu/courses/cse501/15sp/papers/chambers.pdf
41•todsacerdoti•9h ago•20 comments

In memory of the Christmas Island shrew

https://news.mongabay.com/2025/10/in-memory-of-the-christmas-island-shrew/
68•hexhowells•10h ago•21 comments

Making a micro Linux distro (2023)

https://popovicu.com/posts/making-a-micro-linux-distro/
166•turrini•17h ago•28 comments

The future of Python web services looks GIL-free

https://blog.baro.dev/p/the-future-of-python-web-services-looks-gil-free
192•gi0baro-dev•6d ago•78 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•6mo ago

Comments

buildsjets•6mo 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•6mo 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•6mo ago
(2003)
throw0101b•6mo 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•6mo ago
Are there any public, open, comprehensive datasets on flights?
dieselerator•6mo 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•6mo 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•6mo 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•6mo 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•6mo 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/