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AI companies destroy physical books – let's scan rare books before it's too late

https://annas-archive.gl/blog/physical-destruction.html
104•Cider9986•1h ago•62 comments

The August 17 outage

https://github.blog/news-insights/company-news/the-august-17-outage-and-the-work-ahead/
380•0xedb•8h ago•426 comments

I like 'em thick: an apology to my English teachers

https://www.experimental-history.com/p/i-like-em-thick
611•Ariarule•2d ago•266 comments

HTML Can Do That

https://chrisburnell.com/html-can-do-that/
624•encyclopedism•1d ago•168 comments

Malicious Rust crate Arrayref runs a build-time payload

https://safedep.io/arrayref-proc-macro1-rust-build-time-malware/
417•abhisek•14h ago•374 comments

I should have loved biology (2020)

https://jsomers.net/i-should-have-loved-biology/
208•tyre•10h ago•79 comments

Make a 6-Tesla-class high-temperature superconducting dipole magnet at 4.2 K

https://journals.aps.org/prab/abstract/10.1103/4nhs-bkwh
18•supermagnet•6d ago•5 comments

There's no such thing as a small software team anymore

https://jacob.gold/posts/theres-no-such-thing-as-a-small-software-team/
40•mooreslaw•3h ago•79 comments

CIA funding helped keep NeXT afloat in the 80s

https://www.wsj.com/tech/steve-jobs-apple-next-cia-161b65f9?st=NWWds1&reflink=desktopwebshare_per...
368•EwanG•1d ago•220 comments

Why aren't smart people happier? (2022)

https://www.experimental-history.com/p/why-arent-smart-people-happier
108•rafaelc•9h ago•162 comments

Show HN: I trained a 125M model to autocomplete piano on-device

https://simedw.com/2026/08/20/midi-autocomplete/
533•simedw•15h ago•110 comments

Codex on AWS bedrock bug causing 10x charges

https://github.com/openai/codex/issues/37674
5•TheP1000•42m ago•1 comments

Captain Zilog

https://www.zilog.com/captain_zilog/
10•rbanffy•3d ago•0 comments

Vomit: Clean up Claude 5's token output with a separate LLM

https://github.com/zachahn/vomit
203•Bluestein•12h ago•217 comments

Show HN: Huzzah – a novel approach to coding with AI

https://www.danielvaughn.dev/posts/huzzah/
239•danielvaughn•8h ago•138 comments

Linux 7.2

https://www.igalia.com/2026/08/19/Linux-72-Released.html
210•mariuz•12h ago•73 comments

AliExpress runs silent WebAudio fingerprinting that breaks Bluetooth multipoint

https://blog.laserphile.com/2026/08/aliexpress-webpage-keeping-multipoint.html
922•emctech•17h ago•295 comments

Mojo is now open source

https://www.modular.com/blog/mojo-open-source
358•visheshdembla•2d ago•84 comments

Consumer Rights Wiki

https://consumerrights.wiki/w/Main_Page
253•gregsadetsky•9h ago•38 comments

Speeding Up (Small) Ruby Hashes

https://byroot.github.io/ruby/performance/2026/08/13/speeding-up-ruby-hashes.html
29•arto•6d ago•0 comments

SpacetimeDB: A Short Technical Review

https://strn.cat/posts/spacetime/
64•hurrrr•8h ago•15 comments

How to compromise your system with a job interview

https://www.codedge.de/posts/how-to-compromise-your-system-with-a-job-interview
129•codedge•12h ago•109 comments

Anti-AI fonts are useless and harmful

https://blog.yaros.ae/anti-ai-fonts-are-useless-and-harmful/
128•speckx•12h ago•86 comments

Git at any scale

https://cursor.com/blog/git-at-any-scale
294•meetpateltech•2d ago•96 comments

Aaron Swartz was prosecuted for scraping, while Meta does it without consequence

https://blog.curiousquail.com/im-upset-again-about-a-co-creator-of-rss-being-prosecuted-for-somet...
1172•speckx•7h ago•263 comments

Artificial Intelligence Policy

https://www.law.berkeley.edu/academics/registrar/academic-rules/artificial-intelligence-policy/
26•hackerBanana•2h ago•17 comments

Sixtyfour (YC P25) Is Hiring

https://www.ycombinator.com/companies/sixtyfour/jobs/39SkSrA-software-engineering-intern
1•HPMOR•10h ago

Stop Anthropomorphizing Intermediate Tokens as Reasoning/Thinking Traces

https://arxiv.org/abs/2504.09762
199•nunodonato•1d ago•121 comments

DiffusionGemma Technical Report

https://arxiv.org/abs/2608.00146
139•gmays•14h ago•34 comments

Every Model Cheats

https://dreadnode.io/research/every-model-cheats-prompt-level-mitigation-of-cheating-on-offensive...
84•vga805•14h ago•74 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/