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Among European Companies That Use a CDN, Nearly 9 in 10 Use Cloudflare

https://ciphercue.com/blog/european-cdn-concentration-cloudflare-nine-in-ten
128•adulion•2h ago•131 comments

Antiquated HTML Snippets and Artefacts

https://vale.rocks/posts/html-relics
22•patadune•1h ago•3 comments

We built our house for LAN parties

https://lanparty.house/
151•fittingopposite•2d ago•59 comments

I've factored the RSA keys of a Certificate Authority from the 90s

https://mcpherrin.ca/2026/09/07/rsa.html
357•ahlCVA•9h ago•59 comments

Why getting your hands dirty is good for you

https://www.bbc.com/future/article/20260904-how-getting-your-hands-dirty-boosts-your-health-withi...
30•HatchedLake721•1h ago•21 comments

There's a new "Google Jail" for independent wikis

https://weirdgloop.org/blog/google-jail
193•pizzaiolo•9h ago•65 comments

Mistral raises €3B

https://mistral.ai/news/mistral-makes-sovereign-open-weight-ai-to-frontier/
504•kuberwastaken•5h ago•354 comments

Multi-Agents LLM Financial Trading Framework

https://github.com/TauricResearch/TradingAgents
59•fittingopposite•5h ago•37 comments

TALA Is Open-Source

https://d2lang.com/blog/tala-is-open-source/
235•alixanderwang•11h ago•17 comments

How well do agents use test/verification techniques?

https://danluu.com/agentic-testing/
94•vinhnx•8h ago•26 comments

End-to-end infrastructure for training and inferencing open weight models

https://docs.appliedcompute.com
11•Bluestein•3d ago•0 comments

Arm Mali G2-Ultra NX GPU: desktop-class mobile gameplay with AI-native graphics

https://newsroom.arm.com/blog/arm-mali-g2-ultra-nx-ai-native-mobile-graphics
48•Re-Tails•6h ago•31 comments

Watch Los Angeles get built, one building at a time (1880–2026)

https://lax-skyline.parcelscope.net/
299•rustywasm•16h ago•147 comments

Leaving VMware just got harder after Broadcom pulled VDDK downloads

https://www.virtualizationhowto.com/2026/09/leaving-vmware-just-got-harder-after-broadcom-pulled-...
205•josephcsible•14h ago•95 comments

Jellyfin 12.0

https://jellyfin.org/posts/jellyfin-release-12.0/
392•0xC0ncord•9h ago•168 comments

WeatherNext 3

https://deepmind.google/science/weathernext/
337•matthieu_bl•4d ago•81 comments

We have a year to fix security everywhere

https://jyn.dev/a-year-to-fix-security/
243•saikatsg•6h ago•221 comments

The VMs Powering Mobile Agents (Instinct, Claude Code)

https://rohanadwankar.github.io/posts/platforms.html
36•RohanAdwankar•6h ago•7 comments

Scientists observe Einstein's gravity in the quantum world

https://www.ox.ac.uk/news/2026-08-28-scientists-observe-einsteins-gravity-in-the-quantum-world
225•mudil•3d ago•65 comments

My Feed, My Way

https://www.pm.gov.au/media/my-feed-my-way
129•dotcoma•5h ago•101 comments

Understanding Computer Memory Architecture and SSD Internals

https://codingpirate.com/understanding-computer-memory-architecture-ac9320110787
45•Deeptiman•1d ago•3 comments

John Margolies' photographs of roadside America

https://publicdomainreview.org/collection/john-margolies-photographs-of-roadside-america/
87•duck•4d ago•24 comments

Robot writes in languages it has never seen before

https://www.wired.com/story/robot-writing/
3•euanming•2d ago•1 comments

Trusting-Trust Attack against an Entire Linux Distribution

https://arxiv.org/abs/2607.24888
213•signa11•2d ago•47 comments

Extinct Tasmanian tiger's 'snap' unlike any living mammal's bite

https://www.cnn.com/2026/09/02/science/tasmanian-tiger-skull-bite-force
33•cisc•4d ago•7 comments

Navier-Stokes – Tristan Buckmaster [pdf]

https://cims.nyu.edu/~tristanb/statement.pdf
284•procedurecall•5h ago•142 comments

anystation: Calling any station A public board shaped like a tree. No account

https://anystation.net/
7•Bluestein•1d ago•12 comments

I tested 10 model/harness combinations on the same Three.js task

https://alvins82.github.io/hangar-harness-model-tests/
86•alvins82•7h ago•50 comments

Emacs Bedrock 2.0

https://lambdaland.org/posts/2026-09-06-bedrock-v2/
124•ashton314•14h ago•27 comments

Icy Moons Are Ocean Worlds

https://mceglowski.substack.com/p/icy-moons-are-ocean-worlds
186•worldvoyageur•1d ago•24 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/