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Microsoft degrades functionality of perpetually-licensed offline products

https://consumerrights.wiki/w/Microsoft_Office_2019_and_2021_for_Mac_view-only_conversion_(2026)
210•antipurist•1h ago•80 comments

Domain expertise has always been the real moat

https://www.brethorsting.com/blog/2026/05/domain-expertise-has-always-been-the-real-moat/
240•aaronbrethorst•4h ago•158 comments

I found a seashell in the middle of the desert

https://github.com/Hawzen/I-found-a-seashell-in-the-middle-of-the-desert
196•Hawzen•1d ago•57 comments

Accenture to acquire Ookla

https://newsroom.accenture.com/news/2026/accenture-to-acquire-ookla-to-strengthen-network-intelli...
235•Garbage•8h ago•120 comments

wolfSSL releases a new product; wolfCOSE a zero alloc C embbedded COSE stack

https://github.com/wolfSSL/wolfCOSE
57•aidangarske•4h ago•11 comments

Jef Raskin, the Visionary Behind the Mac (2013)

https://lowendmac.com/2013/jef-raskin-the-visionary-behind-the-mac/
65•tylerdane•5h ago•32 comments

Zig ELF Linker Improvements Devlog

https://ziglang.org/devlog/2026/#2026-05-30
167•kristoff_it•7h ago•46 comments

Shantell Sans

https://shantellsans.com/process
40•aleda145•2h ago•1 comments

Voxel Space (2017)

https://s-macke.github.io/VoxelSpace/
248•davikr•10h ago•56 comments

Parallel Reconstruction of Lawful TLS Wiretapping

https://remyhax.xyz/posts/reproducing-lawful-tls-wiretapping/
51•jerrythegerbil•5h ago•25 comments

Cheese Paper: a text editor specifically designed for writing

https://brie.gay/cheese-paper/
32•sohkamyung•2h ago•6 comments

OpenRouter raises $113M Series B

https://openrouter.ai/announcements/series-b
349•freeCandy•7h ago•166 comments

Show HN: 500 years of Joseon court omens as an observability dashboard

https://ajin.im/is/building/omen.ops/
72•poppypetalmask•5h ago•11 comments

Openrsync: An implementation of rsync, by the OpenBSD team

https://github.com/kristapsdz/openrsync
318•sph•14h ago•141 comments

Design Engineering Magazine

https://interfaces.dev/
46•hnhsh•4h ago•5 comments

Microcode inside the Intel 8087 floating-point chip: register exchange

https://www.righto.com/2026/05/microcode-inside-intel-8087-floating.html
82•pwg•7h ago•16 comments

Gustav Klimt and Egon Schiele in Conversation

https://www.theparisreview.org/blog/2018/01/31/the-drawings-of-klimt-and-schiele/
10•rballpug•2d ago•1 comments

Dusklight – GC Twilight Princess Decompiled

https://twilitrealm.dev/
57•shepherdjerred•4h ago•6 comments

C++ CLI for folder encryption with AES-256-GCM and USB-based key loading

4•nextma•2d ago•0 comments

Pandoc Templates

https://pandoc-templates.org/
357•ankitg12•15h ago•48 comments

Tsplat – Run Gaussian splatting in your terminal

https://github.com/darshanmakwana412/tsplat
26•martianvoid•2d ago•7 comments

Zig: Build System Reworked

https://ziglang.org/devlog/2026/#2026-05-26
319•tosh•16h ago•206 comments

Werner Herzog in conversation with Paul Cronin (2014)

https://fsgworkinprogress.com/2014/09/26/insignificant-bullets-evil-poachers-and-l-a-culture/
72•Michelangelo11•8h ago•24 comments

Navier-Stokes fluid simulation explained with Godot game engine

https://myzopotamia.dev/navier-stokes-fluid-simulation-explained-with-godot
178•myzek•4d ago•23 comments

Leo's first encyclical attacks technological messianism

https://www.economist.com/europe/2026/05/28/leos-first-encyclical-attacks-technological-messianism
174•1vuio0pswjnm7•14h ago•193 comments

It takes two neurons to ride a bicycle (2004)

https://fermatslibrary.com/s/it-takes-two-neurons-to-ride-a-bicycle#email-newsletter
95•malshe•4d ago•42 comments

90% of the T Distribution

https://entropicthoughts.com/ninety-percent-of-the-t-distribution
16•ibobev•3d ago•6 comments

Show HN: Open Envelope – an open schema for defining AI agent teams

https://openenvelope.org/docs/schema/
16•ashconway•2d ago•2 comments

IXI's autofocusing lenses are almost ready to replace multifocal glasses

https://www.engadget.com/wearables/ixis-autofocusing-lenses-multifocal-glasses-ces-2026-212608427...
161•amichail•3d ago•73 comments

Rotary GPU: Exploring Local Execution for Large MoE Models Under Limited VRAM

https://arxiv.org/abs/2605.29135
9•dryarzeg•4h ago•0 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/