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Size of Life

https://neal.fun/size-of-life/
1930•eatonphil•17h ago•212 comments

The Cost of a Closure in C

https://thephd.dev/the-cost-of-a-closure-in-c-c2y
41•ingve•1h ago•4 comments

Getting a Gemini API key is an exercise in frustration

https://ankursethi.com/blog/gemini-api-key-frustration/
510•speckx•12h ago•202 comments

Australia begins enforcing world-first teen social media ban

https://www.reuters.com/legal/litigation/australia-social-media-ban-takes-effect-world-first-2025...
750•chirau•1d ago•1142 comments

Patterns.dev

https://www.patterns.dev/
229•handfuloflight•8h ago•58 comments

Booting Linux in QEMU and Writing PID 1 in Go to Illustrate Kernel as Program

https://serversfor.dev/linux-inside-out/the-linux-kernel-is-just-a-program/
71•birdculture•6d ago•17 comments

Auto-grading decade-old Hacker News discussions with hindsight

https://karpathy.bearblog.dev/auto-grade-hn/
428•__rito__•15h ago•198 comments

Python Workers redux: fast cold starts, packages, and a uv-first workflow

https://blog.cloudflare.com/python-workers-advancements/
45•dom96•2d ago•9 comments

Incomplete list of mistakes in the design of CSS

https://wiki.csswg.org/ideas/mistakes
102•OuterVale•4h ago•45 comments

How the Brain Parses Language

https://www.quantamagazine.org/the-polyglot-neuroscientist-resolving-how-the-brain-parses-languag...
10•mylifeandtimes•2d ago•3 comments

VCMI: An open-source engine for Heroes III

https://vcmi.eu/
84•eamag•4d ago•12 comments

How Google Maps allocates survival across London's restaurants

https://laurenleek.substack.com/p/how-google-maps-quietly-allocates
246•justincormack•1d ago•116 comments

Show HN: Wirebrowser – A JavaScript debugger with breakpoint-driven heap search

https://github.com/fcavallarin/wirebrowser
24•fcavallarin•18h ago•7 comments

Super Mario 64 for the PS1

https://github.com/malucard/sm64-psx
219•LaserDiscMan•14h ago•89 comments

Rubio stages font coup: Times New Roman ousts Calibri

https://www.reuters.com/world/us/rubio-stages-font-coup-times-new-roman-ousts-calibri-2025-12-09/
263•italophil•1d ago•425 comments

Fossils reveal anacondas have been giants for over 12 million years

https://www.cam.ac.uk/stories/twelve-million-years-of-giant-anacondas
46•ashishgupta2209•1w ago•15 comments

Flow Where You Want – Guidance for Flow Models

https://drscotthawley.github.io/blog/posts/FlowWhereYouWant.html
11•rundigen12•5d ago•1 comments

Qwen3-Omni-Flash-2025-12-01:a next-generation native multimodal large model

https://qwen.ai/blog?id=qwen3-omni-flash-20251201
255•pretext•17h ago•91 comments

Show HN: Automated license plate reader coverage in the USA

https://alpranalysis.com
174•sodality2•15h ago•98 comments

3D-printed carotid artery-on-chips for personalized thrombosis investigation

https://advanced.onlinelibrary.wiley.com/doi/10.1002/adma.202508890
20•PaulHoule•1w ago•2 comments

Common Lisp, ASDF, and Quicklisp: packaging explained

https://cdegroot.com/programming/commonlisp/2025/11/26/cl-ql-asdf.html
81•todsacerdoti•22h ago•17 comments

When would you ever want bubblesort? (2023)

https://buttondown.com/hillelwayne/archive/when-would-you-ever-want-bubblesort/
90•atan2•11h ago•67 comments

Scientists create ultra fast memory using light

https://www.isi.edu/news/81186/scientists-create-ultra-fast-memory-using-light/
91•giuliomagnifico•6d ago•21 comments

Valve: HDMI Forum Continues to Block HDMI 2.1 for Linux

https://www.heise.de/en/news/Valve-HDMI-Forum-Continues-to-Block-HDMI-2-1-for-Linux-11107440.html
692•OsrsNeedsf2P•15h ago•374 comments

Gundam is just the same as Jane Austen but happens to include giant mech suits

https://eli.li/gundam-is-just-the-same-as-jane-austen-but-happens-to-include-giant-mech-suits
207•surprisetalk•1w ago•138 comments

Is it a bubble?

https://www.oaktreecapital.com/insights/memo/is-it-a-bubble
232•saigrandhi•15h ago•352 comments

Terrain Diffusion: A Diffusion-Based Successor to Perlin Noise

https://arxiv.org/abs/2512.08309
126•kelseyfrog•14h ago•37 comments

The future of Terraform CDK

https://github.com/hashicorp/terraform-cdk
111•mfornasa•14h ago•111 comments

Golang's big miss on memory arenas

https://avittig.medium.com/golangs-big-miss-on-memory-arenas-f1375524cc90
134•andr3wV•1w ago•109 comments

Launch HN: InspectMind (YC W24) – AI agent for reviewing construction drawings

51•aakashprasad91•17h ago•45 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•7mo ago

Comments

buildsjets•7mo 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•7mo 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•7mo ago
(2003)
throw0101b•7mo 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•7mo ago
Are there any public, open, comprehensive datasets on flights?
dieselerator•7mo 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•7mo 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•7mo 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•7mo 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•7mo 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/