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Gemini 4 Argon

https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-4-argon/
1113•bradleyg223•8h ago•744 comments

The top secret URSALA, RAQUEL, and FARRAH satellites (2025)

https://www.thespacereview.com/article/4951/1
162•Bluestein•6h ago•68 comments

56k.rip – the 1996 dial-up internet experience

https://56k.rip/
106•adunk•6h ago•60 comments

Surprisingly complex waves reveal the brain's inner workings

https://www.quantamagazine.org/surprisingly-complex-waves-reveal-the-brains-inner-workings-20260930/
141•ibobev•9h ago•48 comments

Why the Bronze Age Collapsed

https://www.worksinprogress.news/p/why-really-caused-the-bronze-age
122•AnodicElegy•1d ago•67 comments

Show HN: Yantra – an LALR(1) parser generator for C++

https://github.com/TantrixAuto/yantra
7•renjipanicker•1h ago•2 comments

EDG C++ front-end goes public

https://edgcpp.org/#transition
173•iandinwoodie•8h ago•79 comments

Singapore govt dating app uses Gale-Shapley stable marriage algorithm

https://twitter.com/tuakdotsol/status/2105105417760391258
269•rzk•18h ago•200 comments

Launch HN: Magnitude (YC S25) – Self-optimizing inference engine for agents

https://github.com/magnitudedev/magnitude
135•anerli•10h ago•61 comments

Cities Are Forced to Funnel License Plate Data to a Federal Surveillance Program

https://www.404media.co/how-cities-are-forced-to-funnel-license-plate-data-to-a-massive-federal-s...
46•ripe•1h ago•9 comments

Halfspace experimental IDE for solid modeling with distance fields

https://www.mattkeeter.com/projects/halfspace/
89•luu•8h ago•8 comments

A brief history of the Bloomberg terminal

https://spectrum.ieee.org/bloomberg-terminal
238•rbanffy•13h ago•97 comments

5x faster Edge Functions: V8 isolates to Firecracker MicroVMs

https://www.netlify.com/blog/edge-functions-firecracker-microvms/
135•jbott•9h ago•51 comments

Before pixels: Modular industrial dashboards

https://unsung.aresluna.org/before-pixels-modular-industrial-dashboards/
64•leephillips•9h ago•13 comments

CHOMPI portable sampler instrument is now open-source (hardware and software)

https://www.chompiclub.com/opensource
57•lashkari•10h ago•10 comments

Doing a Machine Learning PhD While Working in Japan

https://www.tokyodev.com/articles/doing-a-machine-learning-phd-while-working-in-japan
58•pwim•20h ago•20 comments

I could've accessed 17T Microsoft records

https://blog.faav.net/how-i-couldve-accessed-17-trillion-microsoft-records
264•luispa•2d ago•114 comments

What TLA+ can and can't check

https://buttondown.com/hillelwayne/archive/what-tla-can-and-cant-check/
156•b-man•14h ago•34 comments

The last time my family was replaced by technology

https://manuel.darcemont.fr/posts/the-last-time-my-family-was-replaced-by-technology/
196•megalomanu•15h ago•445 comments

Great Dirhombicosidodecahedron ("Miller's Monster")

https://www.software3d.com/MillersMonster.php
47•cobbzilla•11h ago•3 comments

cmart's Hardcore Coworking

https://cmart.blog/hardcore-coworking/
7•zdw•1d ago•2 comments

Burning Man death rates – A short lesson in statistics

https://ihavenapkinthoughts.substack.com/p/burning-man-death-rates-a-short-lesson
114•viraj_shah•2d ago•146 comments

Functional Ultrasound Imaging (fUSI) from scratch

https://www.neuroai.science/p/functional-ultrasound-imaging-from
33•pminimax•8h ago•7 comments

Coltrane's Tone Circle

https://jtomschroeder.com/blog/tone-circle/
37•jtomschroeder•13h ago•16 comments

Responsible Release of AI-Generated Mathematics

https://agmai.org/general-sep29/
83•aureianimus•1d ago•103 comments

SDF vs. MSDF vs. Slug: GPU Text Rendering

https://alphapixeldev.com/sdf-vs-msdf-vs-slug-vs-rive-gpu-text-rendering/
140•ibobev•14h ago•53 comments

Jevotron: Multiple Jev integrations from the command line

https://cmungall.github.io/jevotron/
4•chrismungall•2h ago•0 comments

Bild AI (YC W25) Is Hiring a Founding Product Engineer

https://www.ycombinator.com/companies/bild-ai/jobs/dAbC3Gd-founding-product-engineer
1•rooppal•11h ago

Show HN: Lathoa, a math app for kids where the AI is wrong on purpose

https://lathoa.ai/en
41•thanouil1411•13h ago•17 comments

SDF Public Access Unix System ... est. 1987

https://sdf.org/
79•kmstout•13h ago•17 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/