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Claude Fable 5.1 and Claude Mythos 5.1

https://www.anthropic.com/claude-fable-and-mythos-5-1
1128•denysvitali•12h ago•1039 comments

The Emergent Symbolic Structure of Artificial Neural Networks

https://arxiv.org/abs/2608.29530
52•schmuhblaster•2h ago•8 comments

True Rate of Unemployment

https://www.lisep.org/tru
152•ptrhvns•4h ago•97 comments

How accurate have Ed Zitron's AI skeptic predictions been?

https://danluu.com/zitron/
606•jatins•12h ago•677 comments

WebFPGA

https://webfpga.io/
37•gurjeet•2h ago•19 comments

Salad Theory

https://saladtheory.github.io/
18•colinprince•2d ago•6 comments

FBI Probes Service Selling 153M+ Drivers Licenses

https://krebsonsecurity.com/2026/09/fbi-probes-service-selling-153m-drivers-licenses/
143•tatersolid•7h ago•51 comments

My local model setup on an M4 Pro Mac Mini

https://lws.io/blog/my-local-model-setup/
148•raybb•8h ago•70 comments

Introducing Ad Blocker for Firefox on iOS

https://blog.mozilla.org/en/firefox/ad-blocker-on-ios/
398•HieronymusBosch•17h ago•132 comments

Show HN: Weedout – Safari extension that hides YouTube AI-labeled videos

https://masteranza.github.io/weedout/
102•masteranza•8h ago•42 comments

The efficient frontier of LLM inference

https://www.baseten.co/blog/the-efficient-frontier-of-llm-inference/
94•philipkiely•7h ago•23 comments

Sonic Pi

https://sonic-pi.net/
99•Bluestein•4d ago•15 comments

The ChatGPT/Codex app bundles a full copy of LibreOffice

https://simonwillison.net/2026/Sep/1/codex-libreoffice/
351•timpera•10h ago•155 comments

Path to Astra: critical capabilities and frontier safeguards

https://openai.com/index/path-to-astra/
129•jithinraj•10h ago•54 comments

Forgotten History of Small Nuclear Reactors (2015)

https://spectrum.ieee.org/the-forgotten-history-of-small-nuclear-reactors
31•derriz•4d ago•3 comments

Refurbishing a Tektronix TDS7104 Oscilloscope

https://tomverbeure.github.io/2026/08/23/Tektronix-TDS7104-Refurbishing.html
111•jwise0•10h ago•50 comments

Launch HN: Nori Robotics (YC S26) – A low-cost humanoid robot for development

https://www.norirobotics.com/
138•AntonioLi•13h ago•43 comments

Movie Scene Map – 13,312 films, series, games, anime and manga

https://moviescenemap.com/
210•Flightmussy•14h ago•30 comments

Ambient CSS v3 – Blender meets CSS

https://ambientcss.vercel.app/
235•kikkupico•15h ago•73 comments

Show HN: HN Match Maker – Matching "Who Wants to Be Hired?" With "Who's Hiring?"

https://hnmatchmaker.com/
72•all2•9h ago•32 comments

The creator of Jujutsu has joined ERSC

https://ersc.io/blog/martin-joins-ersc
218•steveklabnik•13h ago•165 comments

Show HN: Running 104GB Qwen3.8-Flash-Next on 48GB Mac with at ~12 tok/s

https://github.com/carloslfu/slotstream
194•carloslfu•14h ago•93 comments

Top Web Design Styles of 1993

https://contemporary-home-computing.org/prof-dr-style/
28•luu•1d ago•3 comments

Solving the Flat Cube

https://mathenchant.wordpress.com/2026/08/19/solving-the-flat-cube/
28•surprisetalk•1d ago•3 comments

Ask HN: Who is hiring? (September 2026)

208•whoishiring•15h ago•227 comments

Atlas: A World Model for Spatial Intelligence

https://www.worldlabs.ai/blog/atlas
202•johnsutor•13h ago•48 comments

Fine, I'll build my own text editor

https://dbushell.com/2026/09/01/text-editor/
56•Alephinitesimal•13h ago•50 comments

Building Autonomous Goal Loops That Deliver

https://jx0.ca/building-autonomous-goal-loops-that-deliver/
32•jarredkenny•3d ago•6 comments

Building an interactive instrument for a one-of-a-kind festival

https://benholmen.com/blog/halfmoon-chimes/
37•tjwds•4d ago•5 comments

Play Store blocks AuroraStore, hurting GrapheneOS users

https://gitlab.com/AuroraOSS/AuroraStore/-/work_items/1566
506•erikvanoosten•14h ago•209 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/