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Nvidia is the central bank of AI

https://www.economist.com/interactive/briefing/2026/09/03/nvidia-is-the-central-bank-of-ai
167•tolugenius•2h ago•138 comments

Will There Be a 7G?

https://arxiv.org/abs/2609.01877
20•Betelbuddy•47m ago•20 comments

Make Your First Edit to OpenStreetMap in the Next 15 Minutes

https://high5apps.github.io/josm-plugin-website-wizard/
46•juliantigler•1h ago•19 comments

LG denies TV spying claims, says tracking and snooping concerns 'not true'

https://www.tomshardware.com/tech-industry/big-tech/lg-strongly-denies-tv-security-claims-says-tr...
18•datakan•2d ago•96 comments

IKEA made a mod for Skyrim [video]

https://www.youtube.com/watch?v=iZODN0QUgjI
448•kegenaar•2d ago•115 comments

Microcode in Intel's 8087 floating-point chip: the scale instruction

https://www.righto.com/2026/09/8087-microcode-reverse-engineering-fscale.html
29•pwg•2h ago•6 comments

I refuse to let SPICE die

https://github.com/nefarius/vd_agent/
37•Nefarius•3h ago•26 comments

A Mathematical Framework for Transformer Circuits (2021)

https://transformer-circuits.pub/2021/framework/index.html
49•Bluestein•3h ago•6 comments

google.com/goto: Google's anti-scraping update

https://www.autom.dev/blog/google-search-goto-links
547•1e1a•14h ago•440 comments

We must pace the frontier

https://darioamodei.com/post/we-must-pace-the-frontier
196•apsec112•3h ago•267 comments

Retrospectively Reverse-Engineering Apple's Neural Engine

https://eiln.github.io/posts/ane.html
189•zdw•9h ago•23 comments

LRU is harder to beat than the KV-cache papers suggest

https://github.com/gauravapiscean/agentic-kv-cache
70•gauravapiscean•2d ago•31 comments

A Few Good Ideas in Programming Languages

https://prydt.xyz/blog/a-few-good-ideas-in-pl/
23•airhangerf15•4h ago•1 comments

Navier-Stokes Announcement

https://www.claymath.org/news/navier-stokes-announcement/
245•rvz•13h ago•193 comments

Performance of WebAssembly Runtimes in 2026

https://00f.net/2026/06/23/webassembly-runtimes-2026/
49•fagnerbrack•3d ago•10 comments

The worst spam emails: iLands AI agent hustle

https://tedium.co/2026/09/11/ilands-agents-email-spam-kaixin-tang/
77•ColinWright•6h ago•42 comments

I fixed a tractor using John Deere's self-repair service. Farmers aren't sold

https://www.wired.com/story/i-fixed-a-tractor-john-deere-self-repair-service/
44•sbulaev•1d ago•62 comments

Eating Fruit Skins

https://pgadey.ca/blog/eating-fruit-skins/
22•surprisetalk•3d ago•64 comments

λ Snap – An inviting programming language for kids and adults for CS study

https://snap.berkeley.edu/
159•dr_kiszonka•1d ago•97 comments

Fuck it, make it anyway

https://www.joelotter.com/posts/2026/09/make-it-anyway/
454•JayOtter•6h ago•428 comments

How we manage and engage with our horses shapes their personality

https://www.utu.fi/en/news/press-release/how-we-manage-and-engage-with-our-horses-shapes-their-pe...
14•thunderbong•2d ago•2 comments

Europe's "Less" Is Doing More Than Anyone Gives It Credit For

https://oilprice.com/Energy/Energy-General/Europes-Less-Is-Doing-More-Than-Anyone-Gives-It-Credit...
63•u1hcw9nx•3h ago•28 comments

A Design Space Exploration of Async/Await

https://cel.cs.brown.edu/blog/design-space-async-await/
388•wcrichton•3d ago•113 comments

Reconstructing Concurrency Invariants Through Medieval East Asian Logic

https://oborona.zip/post/a-middle-period-engine-reconstructing-concurrency-invariants-through-eas...
8•gg582•1d ago•2 comments

Great Lakes sturgeon may be 400 years old:Scientists rethinking how to save them

https://www.cbc.ca/news/canada/ontario-great-lakes-sturgeon-lifespan-study-9.7329250
123•bookofjoe•3d ago•35 comments

Waymo pulls over, calls cops on juvenile riders who had 'ghost gun"

https://www.latimes.com/california/story/2026-09-12/juveniles-riding-in-waymo-arrested-after-poli...
56•mmayberry•3h ago•80 comments

How SaaS startup guys get first 100 customers first, make fkn $500k ARR fast?

5•nandakishor_ml•56m ago•12 comments

A misalignment of AI in mathematics

https://mathandai.org/
1143•meredydd•1d ago•1074 comments

Usenet rewind archive search engine

https://www.usenet-rewind.com/
114•cstadler1869•13h ago•34 comments

Forgotten Woodlands

https://storymaps.arcgis.com/stories/9b790daf22ba4e87836f467abb1c7e49
35•NaOH•20h ago•11 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/