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Show HN: I put employees inside S&P 500 market-cap bubbles

https://bigwhalehunting.com/workforce/
31•vfxGer•30m ago•6 comments

Tool book of a Nuremberg knight from 1505

https://loeffelholz-codex.org/en/
108•edwardog•2h ago•48 comments

fheroes2: A recreation of Heroes of Might and Magic II game engine

https://github.com/ihhub/fheroes2
111•tosh•4h ago•37 comments

We should be more ambitious with the software we build

https://danluu.com/ambitious/
577•ltratt•17h ago•542 comments

Show HN: Farol – a risk map of a pull request for the person who approves it

https://github.com/winnin/farol
34•ericholiveira•2h ago•20 comments

A Few Thoughts on Intensity

https://www.tylerhogge.com/blog/a-few-thoughts-on-intensity/
7•andsoitis•58m ago•0 comments

Cerebras Deploys Trillion-Parameter AI Models

https://www.cerebras.ai/blog/how-we-deploy-trillion-parameter-frontier-models-on-cerebras
268•gmays•14h ago•90 comments

How Japanese Dried Bonito Is Made

https://kottke.org/26/10/how-japanese-dried-bonito-is-made
126•bookofjoe•3d ago•32 comments

Samsung running a TensorFlow lite model on 960x540 image to track you

https://twitter.com/mike64_t/status/2114150399406202896
211•mashally•4h ago•134 comments

The Goose Programming Language

https://aardappel.github.io/goose/
500•bobbydigitales•20h ago•303 comments

Why Washing Machines Took Decades to Catch On

https://daily.jstor.org/why-washing-machines-took-decades-to-catch-on/
9•herbertl•5d ago•5 comments

Reverse engineer of PC-98 Touhou games retires

https://rec98.nmlgc.net/blog/2026-10-05
40•mimasama•2d ago•29 comments

Lego collaboration with Daft Punk

https://www.lego.com/en-us/categories/adults-welcome/article/daft-punk
51•pieterr•2h ago•41 comments

Nikon photography contest winner loses title after scientists spot signs of AI

https://www.techspot.com/news/114171-nikon-photography-contest-winner-loses-title-after-scientist...
78•thunderbong•5h ago•18 comments

SpeedCrunch 1.1

https://www.speedcrunch.org/
191•LordNibbler•20h ago•37 comments

Small Programs and Languages

https://ratfactor.com/cards/pl-small
154•andsoitis•17h ago•21 comments

Local Wikipedia: Wikipedia, but only for things a half hour walk from you

https://edjefferson.com/localwiki/
1631•sohkamyung•2d ago•251 comments

Node2Shell evolves to HTTP2Shell, blast radius affects many HTTP libs and apps

https://www.aikido.dev/blog/python-packages-vulnerable-node2shell-brotli-cve-2026-111497
353•theanonymousone•1d ago•173 comments

Imagine an AI future where being banned means you are now economically useless

https://twitter.com/boneGPT/status/2114035719853265264
23•MrBuddyCasino•2h ago•20 comments

I don't understand quantum physics (2018)

https://www.southampton.ac.uk/~doug/quantum_physics/index.html
348•rramadass•1d ago•268 comments

Samsung TVs look for microphones in your house via Bluetooth and then spy events

https://twitter.com/freddier/status/2114042326758867453
15•taubek•2h ago•1 comments

America has lost 200k of jobs in media, film and the arts. How much is AI?

https://www.apricitas.io/p/ai-and-the-fall-of-the-creative-class
431•gnabgib•16h ago•456 comments

The Importance of Limitations for Creativity and Learning (2023)

https://ratfactor.com/cards/limitations
104•andsoitis•17h ago•33 comments

I Built a Stereo Vision Board for Hardware Hackers

https://rootkitlabs.com/2026/10/06/i-built-a-stereo-vision-board-for-hardware-hackers/
108•machinehum•4d ago•17 comments

FreeDNS

https://freedns.afraid.org/
324•esher•1d ago•85 comments

GPU-unlock: FP/BF16 instruction issue rate on Nvidia 3000's cards

https://github.com/Zagitta/gpu-unlock
300•fragebogen•1d ago•74 comments

Social dynamics of toxic metal industry in medieval Europe

https://www.cambridge.org/core/journals/antiquity/article/social-dynamics-of-toxic-metal-industry...
71•XzetaU8•4d ago•35 comments

Why Gopher in 2026?

https://gopher.muffinlabs.com/sdf.org/users/nervtoji/phlog/001.txt
108•andsoitis•16h ago•59 comments

Neural chip decodes interactions between brain regions

https://actu.epfl.ch/news/neural-chip-decodes-interactions-between-brain-r-2/
126•giuliomagnifico•23h ago•46 comments

Rewriting a Commercial Engine in Jai

https://polygonjs.com/blog/why-i-rewrote-polygon-from-scratch
57•frading•3d ago•44 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/