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Linux support is coming to Snapdragon X2 Series

https://www.qualcomm.com/news/onq/2026/09/snapdragon-summit-agentic-ai-pcs-linux
292•aaronday•7h ago•132 comments

Claude discovers a novel enzyme system with CRISPR-like repeats

https://www.anthropic.com/news/claude-discovers-novel-enzyme-system
587•raahelb•11h ago•598 comments

Making portable my unportable transputer C compiler

https://nanochess.org/transputer_c_compiler.html
25•nanochess•2d ago•3 comments

ArXiv receives multiyear commitments to support it as an independent nonprofit

https://blog.arxiv.org/2026/09/23/arxiv-receives-multiyear-investment/
120•JohnHammersley•7h ago•15 comments

Feds Target AI Critics as "Foreign Agents"

https://www.kenklippenstein.com/p/feds-think-ai-critics-are-foreign
196•nmeagent•5h ago•181 comments

Ideas on modernizing the open-source desktop

https://lwn.net/SubscriberLink/1095425/2d9f411252325784/
35•signa11•3h ago•12 comments

VSCode's SSH Agent Is Bananas (2025)

https://fly.io/blog/vscode-ssh-wtf/
183•Rapzid•8h ago•116 comments

Virtio-nvgpu: Near-native Nvidia GPU access inside a KVM guest

https://github.com/nestrilabs/virtio-nvgpu
54•WanjohiRyan•4h ago•20 comments

Meta VR Glasses

https://www.meta.com/vr-glasses/
338•polymorph1sm•6h ago•289 comments

The "Windows XP Box" (2003)

https://www.mini-itx.com/projects/windowsxpbox/
106•doubletwoyou•2d ago•16 comments

Fixing the Portobello Police Station Clock

https://pointinthecloud.com/2026-04-11-211700.html
412•avidly•14h ago•95 comments

Lazydraw: Terminal ASCII editor for drawing diagrams and sketches

https://github.com/mpospirit/lazydraw
4•masterpos•1d ago•0 comments

Why 'What's Opera, Doc?' looks like that

https://animationobsessive.substack.com/p/why-whats-opera-doc-looks-like-that
25•CharlesW•14h ago•1 comments

Mercury 2.5 LLM hits 770 tokens per second

https://artificialanalysis.ai/models/mercury-2-5
85•Retro_Dev•7h ago•51 comments

Six-year-old breaks women's world Rubik's Cube record [video]

https://www.youtube.com/watch?v=UCMRgvyTm08
20•1659447091•53m ago•2 comments

Lambda MicroEgg

https://www.philipzucker.com/lambda_miller_egg/
34•philzook•3d ago•0 comments

Making Tailscale Faster

https://tailscale.com/blog/making-tailscale-faster
127•yarapavan•12h ago•46 comments

Italian parliament votes for return to nuclear energy

https://apnews.com/article/italy-nuclear-chernobyl-4891b6b7c7791ae84db6b0bf0f7cf567
687•geox•12h ago•439 comments

The mystery animal on an ancient god's head

https://signoregalilei.com/2026/09/13/the-mystery-animal-on-an-ancient-gods-head/
85•surprisetalk•1d ago•25 comments

Australia says OpenAI agent hacked into government website

https://www.channelnewsasia.com/world/australia-openai-agent-breach-government-portal-6406411
95•doppp•4h ago•60 comments

Data liberation: Apache Kafka's native cluster mirroring

https://developers.redhat.com/articles/2026/09/22/data-liberation-apache-kafka-native-cluster-mir...
6•fvaleri•1d ago•0 comments

A brief history of Windows scroll bar shortcuts

https://devblogs.microsoft.com/oldnewthing/20260922-00/?p=112719/
128•tybulewicz•11h ago•65 comments

Contrastive Language Models

https://contrastive-lm.notion.site/
5•erichocean•1h ago•3 comments

Solving for faster SHA-1 collision detection

https://sam.dev/blog/faster-sha1-collision-detection
17•srijs•2d ago•3 comments

Tokens too cheap to meter

https://jyn.dev/tokens-too-cheap-to-meter/
273•teoruiz•20h ago•191 comments

FLAWED's Flaws and What This Means for Industry Research

https://suhacker.ai/p/flaweds-flaws-and-what-this-means-for-industry-research/
19•tob_scott_a•4h ago•4 comments

Show HN: An open-source manufacturing ERP/MES/QMS

https://carbon.ms/self-hosted
20•barbinbrad•5h ago•11 comments

LensVLM: Compressing long context as images, expanding only relevant pages

https://huggingface.co/apple/LensVLM-9B
66•victormustar•11h ago•7 comments

Gemini 3.8 text-to-speech

https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-8-text-to-speech/
284•swolpers•14h ago•128 comments

The Curious Power of Punctuation

https://www.newyorker.com/magazine/2026/09/28/on-the-mark-louis-menand-book-review
39•pepys•1d ago•12 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/