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Jeff – Jev-compatible 0.8B decision models, trained at home, ~30 ms

https://github.com/firelex/jeff
205•firelex•3h ago•66 comments

Pirating the Pirates

https://mubi.com/en/notebook/posts/pirating-the-pirates
383•piotrgrabowski•8h ago•202 comments

12,000-year-old Göbeklitepe burials explain scattered bones

https://archaeologymag.com/2026/09/gobeklitepe-burials-hundreds-of-scattered-bones/
61•yusufaytas•2d ago•12 comments

MicroLLM Lab – Try 7 tiny LLM's in the browser

https://stateofutopia.com/experiments/microllmlab/
110•logicallee•5h ago•51 comments

Scientists solve 1840s space weather mystery

https://arstechnica.com/science/2026/09/scientists-solve-1840s-space-weather-mystery/
40•gumby•4h ago•25 comments

World Labs Is Joining AMD

https://www.worldlabs.ai/blog/amd-announcement
153•mfiguiere•3h ago•51 comments

Flock Wants the Most Detailed Map of Its Surveillance Cameras Taken Offline

https://theintercept.com/2026/09/24/how-many-flock-devices-in-united-states-300000/
148•bookofjoe•3h ago•68 comments

Hijacking the PS5's RTMP stream

https://yashgarg.dev/posts/hijacking-ps5-rtmp-stream/
180•ibobev•8h ago•59 comments

What is the best shape of a city? Modelling effect of urban form on distance

https://journals.sagepub.com/doi/10.1177/23998083261458842
6•rustoo•2d ago•4 comments

Parley: Federated, decentralised chat that speaks plain IRC

https://git.mills.io/prologic/parley
297•davidcollantes•13h ago•164 comments

Kids turned low-traffic NPR Spotify comments into a secret group chat

https://www.thisamericanlife.org/897/transcript
260•simonpure•8h ago•160 comments

What reversing, modernising old games tells us about the economic impact of AI

https://this.os.isfine.org/blog/posts/what-reverse-engineering-and-modernising-an-old-war-game-te...
45•keeda•2d ago•9 comments

It's Time to Investigate the AI Labs

https://calnewport.com/its-time-to-investigate-the-ai-labs/
225•ibobev•4h ago•73 comments

Joseph Szabo’s pictures of American adolescents

https://www.newyorker.com/culture/photo-booth/the-teen-portraits-that-captivated-sofia-coppola
69•prismatic•6h ago•38 comments

Anthropic's IPO prospectus shows AI vision, surging costs

https://www.reuters.com/business/finance/anthropics-ipo-prospectus-shows-sweeping-ai-vision-surgi...
17•6thbit•29m ago•2 comments

Sonnet 5.5

https://www.anthropic.com/claude-sonnet-5-5
535•D2OQZG8l5BI1S06•6h ago•363 comments

3D necroprinting: Leveraging biotic material as the nozzle for 3D printing

https://www.science.org/doi/10.1126/sciadv.adw9953
14•ColinWright•1d ago•4 comments

Nvidia wants to put a watchdog chip next to every AI agent

https://www.cnbc.com/2026/09/28/nvidia-releases.html
87•jonbaer•8h ago•135 comments

Does Reddit have an astroturfing problem? What the data suggests

https://www.petervijeh.com/projects/reddit-astroturf
84•p-s-v•10h ago•113 comments

Show HN: HN.watch – Videos of all Hacker News posts

https://hn.watch/
119•mrborgen•8h ago•75 comments

ESP32S3 cluster running 1.58-bit (BitNet) Language model

https://github.com/Low-Zi-Hong/ESP32s3-LLM-Cluster
8•nkko•2h ago•0 comments

Cf: The Agentic CLI for the Cloudflare API

https://blog.cloudflare.com/cloudflare-cf-cli-launch/
108•macleos•8h ago•44 comments

First Steps of the PLC Organization – Independent Public Ledger of Credentials

https://blog.plcred.org/3mwlphq42d227
36•embedding-shape•4h ago•19 comments

Show HN: Destroy Any Website with Stickman

https://destroy.spritefusion.com/
95•HugoDz•7h ago•27 comments

Updated Google Maps shows destruction of the city of Rafah

https://twitter.com/AliAbunimah/status/2103890594137309425
143•slowin•8h ago•62 comments

Launch HN: Vespper (YC F24) – SOTA Docx MCP

https://www.vespper.com/blog/launching-vespper-docx-mcp
30•topaztee•6h ago•8 comments

What heraldry and Japanese mon can teach about visual-identity generators

https://benovermyer.com/blog/2026/09/japanese-vs-western-heraldry/
64•bovermyer•9h ago•21 comments

Who wrote Elizabeth I's most scathing letters?

https://www.smithsonianmag.com/history/who-wrote-elizabeth-is-most-scathing-letters-new-research-...
37•benbreen•6h ago•20 comments

MongoDB CEO resigns to join Meta

https://www.reuters.com/technology/mongodb-ceo-desai-steps-down-lead-metas-enterprise-platform-20...
321•diek•9h ago•259 comments

When did Google get so weird?

https://sancho.bearblog.dev/google-weird/
1834•sancho-panza•1d ago•1029 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/