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U.S. postal inspectors shut down website selling counterfeit postage labels

https://postalemployeenetwork.com/news/2026/09/26/u-s-postal-inspectors-shut-down-website-selling...
29•ilamont•1h ago•19 comments

GPT 6.1 Sol: Near-Astra intelligence for a fifth of the price

https://openai.com/index/introducing-gpt-6-1-sol/
602•crorella•3h ago•521 comments

Tcl/Tk 9.1 Released

https://www.tcl-lang.org/software/tcltk/9.1.html
161•dmux•3h ago•46 comments

How Delhi cut electricity loss from 50 to 5 percent

https://spectrum.ieee.org/delhi-electricity-loss
378•rbanffy•7h ago•210 comments

AI needs $6T in annual revenue to justify data centre boom

https://www.thenationalnews.com/future/technology/2026/09/29/ai-industry-needs-to-earn-6-trillion...
112•Betelbuddy•1h ago•76 comments

Nicholas Polson has authored 258 academic papers in 2026 (so far)

https://statmodeling.stat.columbia.edu/2026/08/27/258/
75•zaik•1h ago•47 comments

PS5 Relapse Exploit

https://github.com/ntfargo/Relapse-Exploit
148•therepanic•4h ago•75 comments

DraftKings Is Using AI to Behaviorally Target Chronic Gamblers

https://www.eff.org/deeplinks/2026/09/draftkings-using-ai-supercharge-harms-online-behavioral-adv...
424•paimapi•4h ago•289 comments

NAND-16: a computer built from 277,248 NAND gates

https://somethingbig.ai/computer
50•rossant•1d ago•29 comments

Dots: Always-on agents

https://openai.com/index/introducing-dots/
366•alvis•3h ago•277 comments

A Privacy Analysis of Web and Mobile Conversational AI Agents [pdf]

https://jorgegarciaherrero.com/wp-content/interactivos/20260916-Prompt-like-a-butterfly-sting-lik...
392•damaru2•11h ago•125 comments

Virus Stole a Human Gene and Won't Let Go of It

https://www.nytimes.com/2026/09/28/science/virus-molluscum-human-gene.html
54•gumby•1d ago•12 comments

GLM-5.3 and the spread of advanced cyber capabilities

https://www.anthropic.com/research/glm-5-3-and-the-spread-of-advanced-cyber-capabilities
73•Philpax•3h ago•50 comments

Phyllotaxis: An audio-reactive LED display

https://jagi.studio/posts/phyllotaxis/
239•evakhoury•1d ago•41 comments

Stuck in the Suez Canal – the short version (2021)

https://cathsenker.co.uk/stuck-in-the-suez-canal-the-short-version/
9•joebig•2d ago•1 comments

Without the Hot Air

https://www.withouthotair.com/
116•0sake_rs•7h ago•61 comments

Jeeves. Reasoning improves Jev-like decision models

https://github.com/PostHog/jeeves
207•nicowaltz•9h ago•85 comments

Ask HN: What are you reading?

32•dan-bailey•6h ago•87 comments

America.gov

https://america.gov/
96•plesiv•6h ago•73 comments

Walking Men

https://bookofjoe2.blogspot.com/2026/09/walking-men.html
64•surprisetalk•1d ago•22 comments

Show HN: TurboGPT: train 22KiB transformer in 13s

https://github.com/lostmsu/TurboGPT
5•lostmsu•1h ago•1 comments

Memory Companies Have Destroyed the Consumer Market

https://gamersnexus.net/news-features/memory-companies-have-destroyed-consumer-market
39•DeepLogin•1h ago•7 comments

A Staff Engineer's Guide to Inventing Work

https://sujithjay.com/inventing-work
114•amortize•1d ago•28 comments

Using any C++ library in Godot

https://blog.conan.io/cpp/conan/gamedev/godot/cmake/2026/09/29/Using-Any-Cpp-Library-In-Godot.html
147•czoido•11h ago•51 comments

You are no longer invited to dinner

https://www.derekthompson.org/p/the-death-of-the-american-host
640•barry-cotter•9h ago•593 comments

Galaxy Game – Interim Computer Museum

https://icm.museum/blog/?p=698
5•rbanffy•1h ago•0 comments

DevDay 2026 Recap

https://openai.com/index/devday-2026-recap/
72•polygot•3h ago•28 comments

What if Jev spoke Arrow?

https://columnar.tech/blog/what-if-jev-spoke-arrow/
23•ianmcook•4h ago•5 comments

Digital Audio on the ZX Spectrum's 1-Bit Beeper

https://bumbershootsoft.wordpress.com/2026/09/26/digital-audio-on-the-zx-spectrums-1-bit-beeper/
49•ibobev•2d ago•15 comments

Show HN: Real-time Solar System with 526k asteroids and all tracked satellites

https://space.bl2.net/
6•wanick•1h ago•3 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/