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Saving 100 terabytes of memory by optimizing 1.1.1.1's DNS cache

https://blog.cloudflare.com/dns-cache-memory-optimization-1111/
356•TangerineDream•4h ago•102 comments

Small Models Have Arrived

https://calv.info/small-models-have-arrived
346•tosh•5h ago•148 comments

507 Mechanical Movements

https://507movements.com/
410•helloplanets•7h ago•62 comments

We found a division by zero bug in FFmpeg with a vibecoded fuzzer

https://code.ffmpeg.org/FFmpeg/FFmpeg/issues/24290
118•dclavijo•4h ago•86 comments

Microduck

https://pollen-robotics.com/microduck/
438•robotswantdata•10h ago•172 comments

Gemini-3.5-Transcribe

https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-5-transcribe/
63•k9294•3h ago•17 comments

Decompiling a Nintendo 64 game in 84 days

https://blog.chrislewis.au/decompiling-a-nintendo-64-game-in-84-days/
151•knackers•6h ago•67 comments

M5Stack Launches PaperMono

https://shop.m5stack.com/blogs/news/m5stack-launches-papermono-a-compact-e-ink-development-termin...
71•marksully•4h ago•24 comments

Gemini Omni 1.1 Flash

https://blog.google/innovation-and-ai/technology/developers-tools/build-with-gemini-omni-1-1-flash/
158•saretup•4h ago•108 comments

Afterglow: Run classic After Dark screen savers on modern macOS

https://morphing.cloud/afterglow/
59•NaOH•21h ago•22 comments

The turbulent AI era is here

https://www.gatesnotes.com/work/make-ai-work-for-everyone/reader/a-turbulent-ai-era-and-critical-...
150•nanna•1d ago•422 comments

Previewing the Model Hardware Standard

https://www.anthropic.com/news/model-hardware-standard-research-preview
49•surprisetalk•3h ago•24 comments

Emacs 31: An unofficial guide to Markdown-ts-mode

https://rahuljuliato.com/posts/markdown-ts-mode-emacs-31
136•RahulMJ•8h ago•56 comments

Suica, Japan's First IC Transit Card

https://www.tokyodev.com/articles/the-story-of-suica
145•zdw•5h ago•111 comments

Show HN: Voronoi Go

https://voronoigo.com/
48•igpay•3h ago•10 comments

Bild AI (YC W25) is hiring product and AI engineers

https://www.bild.ai/jobs
1•rooppal•4h ago

Engineered yeast for converting plastic and biomass compounds into food

https://acs.digitellinc.com/live/37/session/586399
58•ehwa37•6h ago•36 comments

Show HN: The load-bearing vocabulary of Claude

https://louisabraham.github.io/load-bearing/
265•Labo333•12h ago•133 comments

Nvidia agrees to acquire Hugging Face for $13B

https://www.businessinsider.com/nvidia-in-talks-to-buy-hugging-face-13-billion-dollars-2026-8
1801•mfiguiere•20h ago•838 comments

Meta Paid $17B – Gets to Write Safety Rules for Other SocMedia Platform

https://www.techdirt.com/2026/08/26/meta-just-paid-nearly-17-billion-to-make-sure-it-gets-to-writ...
37•ano-ther•1h ago•2 comments

The mechanics of the Nepali flash flood

https://www.economist.com/science-and-technology/2026/08/27/the-terrifying-mechanics-of-the-nepal...
52•vinni2•6h ago•10 comments

Launching Route 53 Files

https://www.daemonology.net/blog/2026-08-27-Launching-Route-53-Files.html
86•louis-paul•7h ago•30 comments

Aphantasia Beginner's Guide

https://aphantasia.com/guide
94•ksec•8h ago•230 comments

Launch HN: Salem Robotics (YC S26) – Software for industrial inspection robots

32•Salem_robotics•6h ago•20 comments

A curmudgeon tries a language server

https://entropicthoughts.com/curmudgeon-tries-language-server
96•crescit_eundo•1d ago•63 comments

Humanity has the debate about AI consciousness backwards

https://economist.com/by-invitation/2026/08/20/humanity-has-the-debate-about-ai-consciousness-bac...
64•semiquaver•19h ago•214 comments

$900M paid out to end wind farm project going to firm run by Mar-a-Lago neighbor

https://www.independent.co.uk/news/world/americas/us-politics/trump-windfarm-money-neighbors-flor...
44•pseudolus•1h ago•9 comments

Trade (and Tariffs)

https://xkcd.com/3290/
433•throw0101d•8h ago•191 comments

Canada Hires 48 Scholars Away from Top U.S. Universities

https://www.nytimes.com/2026/08/27/world/canada/canada-universities-hire-us-researchers.html
18•mykowebhn•1h ago•2 comments

Markdown Database Pattern

https://wayofmarkdown.com/markdown-database
24•rufuspollock•5h ago•7 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/