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Vectorized and performance-portable Quicksort

https://opensource.googleblog.com/2022/06/Vectorized%20and%20performance%20portable%20Quicksort.html
98•mococa•55m ago•15 comments

Small programming tricks

https://will-keleher.com/posts/small-programming-tricks-matter/
203•signa11•3h ago•119 comments

Accurate Models of AMD Matrix Cores

https://arxiv.org/abs/2609.14845
8•matt_d•31m ago•0 comments

Dream-RSI: Recursive Self-Improvement through Evolving Worlds

https://arxiv.org/abs/2609.14858
137•bananaflag•5h ago•41 comments

Mistral X Mozilla: Private, Multilingual AI Browsing

https://mistral.ai/news/mistral-x-mozilla/
450•vertigoruntime•11h ago•161 comments

Tell the speakers that you liked their talks

https://ohhelloana.blog/tell-the-speakers/
193•whisper2020•1d ago•50 comments

GitHub is having trouble counting things

https://chuckgreenman.com/2026/09/16/counting-at-github
23•chuckgreenman•1h ago•17 comments

Show HN: An e-ink frame that hears birds and draws them as 1800s illustrations

https://github.com/arnegiacomo/fugleramme
1936•arnemunthekaas•1d ago•227 comments

The Siberian Ice Maiden and the Scythian World

https://patrickwyman.substack.com/p/the-siberian-ice-maiden-and-the-scythian
20•NaOH•1d ago•0 comments

Training a 4B model to produce 81% faster query plans than Postgres

https://rohanbansal.com/qorl
6•polyphilz•37m ago•0 comments

Learning Programming in an Age of LLMs

https://blog.ploeh.dk/2026/09/16/on-learning-programming-in-an-age-of-llms/
197•moneroloop2018•10h ago•143 comments

How big are factorials?

https://eli.thegreenplace.net/2026/how-big-are-factorials/
56•ibobev•1d ago•18 comments

Claude Cowork and chat are now one Claude

https://claude.com/blog/cowork-is-now-claude
127•vertigoruntime•3h ago•156 comments

The DeepMind Institute

https://institute.deepmind.com/
66•vertigoruntime•4h ago•21 comments

Hackers Got Inside a Flock Camera

https://www.wired.com/story/hackers-flock-camera-data-shows-how-system-works/
358•driverdan•6h ago•171 comments

The Google Play app review process now regularly takes longer than a week

https://gultsch.social/@daniel/117280438824908947
302•inputmice•8h ago•287 comments

Fed hikes rates as inflation worries push up bond yields

https://www.reuters.com/live/live-fed-rate-hike-expected-inflation-worries-push-up-bond-yields-20...
20•wslh•32m ago•2 comments

How good are frontier models at physics?

https://arxiv.org/abs/2609.13009
6•qt31415926•8m ago•1 comments

Can we stop with the uptime percentages?

https://blog.jim-nielsen.com/2026/stop-with-the-uptime-percentage/
100•surprisetalk•3h ago•76 comments

Kyber (YC W23) Is Hiring a Forward Deployed Engineer

https://www.ycombinator.com/companies/kyber/jobs/eturrAR-forward-deployed-engineer
1•asontha•7h ago

Show HN: How Stale Is Your AI? Release age and training cutoff for 20 models

https://stale.jock.pl/
55•joozio•6h ago•39 comments

ER visits for gambling disorders doubled after expanded online gambling market

https://temertymedicine.utoronto.ca/news/emergency-room-visits-gambling-disorders-nearly-doubled-...
82•geox•1h ago•63 comments

A warning about 'model welfare'

https://mustafa-suleyman.ai/a-warning-about-model-welfare
118•andsoitis•4h ago•277 comments

Salesforce Global Outage

https://status.salesforce.com/products/all
244•mabil•8h ago•147 comments

Anatomy of a Texture

https://agentlien.github.io/texture/
39•Agentlien•4h ago•9 comments

Scaling Golang CI by Replacing actions/setup-go

https://www.cloudx.ai/posts/setup-go
59•peterldowns•6h ago•16 comments

This Code Is CRAP (2011)

https://testing.googleblog.com/2011/02/this-code-is-crap.html
64•luispa•3h ago•41 comments

Original Sony PlayStation 2 security chip 'broken wide open' after 26 years

https://www.tomshardware.com/video-games/playstation/26-year-old-sony-ps2-security-chip-broken-wi...
231•rbanffy•7h ago•64 comments

Show HN: I made a flight simulator, except you're just a passenger

https://inflightsimulator.com
379•rkotcher•2d ago•194 comments

Introducing System One Models and Jev

https://typesafe.ai/blog/introducing-system-one-models-and-jev
1758•albelfio•1d ago•469 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/