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Amateur armed with ChatGPT solves an Erdős problem

https://www.scientificamerican.com/article/amateur-armed-with-chatgpt-vibe-maths-a-60-year-old-pr...
215•pr337h4m•11h ago•137 comments

Why has there been so little progress on Alzheimer's disease?

https://freakonomics.com/podcast/why-has-there-been-so-little-progress-on-alzheimers-disease/
153•chiefalchemist•5h ago•70 comments

USB Cheat Sheet (2022)

https://fabiensanglard.net/usbcheat/index.html
222•gwerbret•7h ago•49 comments

Tell HN: An app is silently installing itself on my iPhone every day

102•_-x-_•4h ago•62 comments

Mahjong: A Visual Guide

https://themahjong.guide/
30•iamwil•2d ago•6 comments

Flickr: The first and last great photo platform

https://petapixel.com/2026/04/22/flickr-the-first-and-last-great-photo-platform/
102•Nrbelex•3d ago•55 comments

EU Age Control: The trojan horse for digital IDs

https://juraj.bednar.io/en/blog-en/2026/04/17/eu-age-control-the-trojan-horse-for-digital-ids/
43•gasull•1h ago•8 comments

OpenAI Privacy Filter

https://openai.com/index/introducing-openai-privacy-filter/
159•tanelpoder•3d ago•28 comments

The Free Universal Construction Kit

https://fffff.at/free-universal-construction-kit/
298•robinhouston•3d ago•61 comments

My Homemade PBX (2002)

https://wandel.ca/homepage/pbx.html
10•rickcarlino•1h ago•0 comments

1-Bit Hokusai's "The Great Wave" (2023)

https://www.hypertalking.com/2023/05/08/1-bit-pixel-art-of-hokusais-the-great-wave-off-kanagawa/
544•stephen-hill•3d ago•88 comments

Using coding assistance tools to revive projects you never were going to finish

https://blog.matthewbrunelle.com/its-ok-to-use-coding-assistance-tools-to-revive-the-projects-you...
241•speckx•13h ago•131 comments

The Joy of Folding Bikes

https://blog.korny.info/2026/04/19/the-joy-of-folding-bikes
132•pavel_lishin•3d ago•76 comments

America's Geothermal Breakthrough

https://oilprice.com/Alternative-Energy/Geothermal-Energy/Americas-Geothermal-Breakthrough-Could-...
99•sleepyguy•9h ago•107 comments

Shall We Play a Game?

https://asteriskmag.com/issues/14/shall-we-play-a-game
5•jger15•2d ago•0 comments

DeepSeek-V4 on Day 0: From Fast Inference to Verified RL with SGLang and Miles

https://www.lmsys.org/blog/2026-04-25-deepseek-v4/
27•mji•5h ago•2 comments

Math Is Hard – OpenBSD Stories

http://miod.online.fr/software/openbsd/stories/vaxfp.html
72•signa11•2d ago•1 comments

The Super Nintendo Cartridges

https://fabiensanglard.net/snes_carts/
25•offbyone42•4h ago•1 comments

New 10 GbE USB adapters are cooler, smaller, cheaper

https://www.jeffgeerling.com/blog/2026/new-10-gbe-usb-adapters-cooler-smaller-cheaper/
563•calcifer•23h ago•337 comments

Optimizing Datalog for the GPU

https://dl.acm.org/doi/10.1145/3669940.3707274
34•tosh•2d ago•3 comments

Hokusai and Tesselations

https://dl.ndl.go.jp/pid/1899550/1/11/
94•srean•12h ago•14 comments

The Long Reply

https://ironicsans.ghost.io/the-long-reply/
28•NaOH•2d ago•0 comments

Reviving BrowserID in 2026

https://wakamoleguy.com/p/reviving-browserid-in-2026
10•wakamoleguy•2h ago•2 comments

Per-image PCA characterization of the Kodak image suite (PDF and JSON)

https://github.com/PearsonZero/kodak-pcd0992-statistical-characterization/tree/main/baseline
3•PearsonZero•4d ago•0 comments

Simulacrum of Knowledge Work

https://blog.happyfellow.dev/simulacrum-of-knowledge-work/
126•thehappyfellow•12h ago•46 comments

The George Business, by Roger Zelazny (1980)

https://www.eternal-flame.org/library/oldlibrary/georgebusiness.html
18•xeonmc•2d ago•0 comments

GnuPG – post-quantum crypto landing in mainline

https://lists.gnupg.org/pipermail/gnupg-announce/2026q2/000504.html
7•zdkaster•2h ago•1 comments

AGPLv3§74 Empowers Users to Thwart Badgeware Like OnlyOffice

https://sfconservancy.org/blog/2026/apr/16/badgeware-onlyoffice-nextcloud-affero-gpl/
7•pabs3•21m ago•0 comments

Mine, an IDE for Coalton and Common Lisp

https://coalton-lang.github.io/mine/
87•varjag•11h ago•38 comments

What async promised and what it delivered

https://causality.blog/essays/what-async-promised/
185•zdw•3d ago•208 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/