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Roku developer repositories moved from GitHub to GitLab

https://blog.roku.com/developer/gitlab-move
167•cxr•3h ago•112 comments

Dream-1

https://dreamlabs.ai/research/dream-1/
49•GaggiX•58m ago•20 comments

The St. Helena 5 pence coin shows Jonathan, a roughly 190 year old tortoise

https://de.numista.com/9866
60•schleck8•2h ago•10 comments

FreeDNS

https://freedns.afraid.org/
175•esher•4h ago•43 comments

Glymphatic clearance to alleviate traumatic brain edema& Alzheimer's pathology

https://www.science.org/doi/10.1126/sciadv.aeh8870
15•ersinesen•1h ago•4 comments

Neural chip decodes interactions between brain regions

https://actu.epfl.ch/news/neural-chip-decodes-interactions-between-brain-r-2/
60•giuliomagnifico•3h ago•11 comments

Why is AI generated language so hard to understand?

https://arxiv.org/abs/2610.29162
16•canjobear•1h ago•6 comments

Symbolic Learning in Python and Julia

https://github.com/astroautomata/PySR
23•alex_hirner•3d ago•2 comments

Node2Shell evolves to HTTP2Shell, blast radius affects many HTTP libs and apps

https://www.aikido.dev/blog/python-packages-vulnerable-node2shell-brotli-cve-2026-111497
224•theanonymousone•11h ago•105 comments

OBS Studio 33

https://github.com/obsproject/obs-studio/releases/tag/33.0.0
402•pentagrama•14h ago•139 comments

Kimi K3.1 Pro and K3.1 Pro Highspeed

https://www.kimi.ai/blog/kimi-k3-1-pro
1051•Jowsey•1d ago•640 comments

TornadoVM 7 Enables GPU-Native Workloads from Java Applications

https://www.infoq.com/news/2026/10/tornadovm-7-gpu/
71•pjmlp•2d ago•13 comments

PHP Foundation 'under-funded' with one full-time staff member, director says

https://www.reuters.com/technology/php-foundation-under-funded-with-one-full-time-staff-member-di...
10•firesteelrain•17m ago•1 comments

Danish Government silently drops plan to dump MS Office

https://www.computerworld.dk/art/297226/digitaliseringsministeriet-har-i-al-stilhed-droppet-stort...
38•lowkeyokay•49m ago•6 comments

Physicists trap a single antimatter particle for a month

https://www.scientificamerican.com/article/physicists-trap-a-single-antimatter-particle-for-a-month/
240•mooreds•2d ago•71 comments

GPU-unlock: FP/BF16 instruction issue rate on Nvidia 3000's cards

https://github.com/Zagitta/gpu-unlock
116•fragebogen•9h ago•47 comments

Today, we hacked what we'd set out to hack: the iPhone

https://blog.calif.io/p/iphone
1056•pavel_lishin•1d ago•656 comments

I Don't Understand Quantum Physics (2018)

https://www.southampton.ac.uk/~doug/quantum_physics/index.html
233•rramadass•9h ago•163 comments

Oai-math-revised: a community hub for revising OpenAI's math write-ups

https://terrytao.wordpress.com/2026/10/24/oai-math-revised-a-community-hub-for-revising-openais-m...
13•tokepi•3h ago•11 comments

Cecilia Berdichevsky, Clementina expert (1961)

https://en.wikipedia.org/wiki/Cecilia_Berdichevsky
19•fedecaccia•3d ago•0 comments

Local Wikipedia: Wikipedia, but only for things a half hour walk from you

https://edjefferson.com/localwiki/
1505•sohkamyung•1d ago•240 comments

Twelve years of distributed SQLite

https://philipotoole.com/twelve-years-of-distributed-sqlite/
337•otoolep•18h ago•51 comments

Apple Music 404 Not Found

https://music.apple.com/this-url-doesnt-exist
893•frizlab•1d ago•264 comments

Zac-OS-9: The classic Platinum desktop, reborn for modern PCs

https://sourceforge.net/projects/zac-os-9/
11•felixding•2d ago•2 comments

Parsing EDIFACT in Python with syntax trees

https://github.com/AmadeusITGroup/Edison
18•alexprengere•2d ago•7 comments

How close can pure functional programming get to C?

https://rtfeldman.com/fp-vs-c
224•stmonty•15h ago•64 comments

A practical guide to AI image generation, from diffusion to agents

https://danielball.com/notes/ai_image_generation.html
222•westsmith•3d ago•69 comments

Bringing uv and ty together

https://astral.sh/blog/uv-ty-integration
263•Ravencentric•3d ago•89 comments

Tiling Noise – Procedural GPU Patterns

https://catlikecoding.com/godot/procedural-gpu-patterns/09-tiling-noise/
41•ibobev•3d ago•1 comments

Dessa: Conversation Model trained only on speech

https://block.xyz/dessa
480•dsr12•1d ago•180 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/