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Genie 4

https://deepmind.google/blog/genie-4-a-new-generation-of-world-simulation/
593•acossta•6h ago•369 comments

Ghostty 1.4

https://ghostty.org/docs/install/release-notes/1-4-0
571•deaux•5h ago•172 comments

Tailscale SSH: Investigation and remediation update

https://tailscale.com/ssh-investigation-update
121•figmert•2h ago•66 comments

Early progress on accelerating drug development with Claude

https://www.anthropic.com/research/early-progress-drug-development
51•dataking•1h ago•34 comments

Survival LLM: AI assistant and emergency library that runs on your own computer

https://www.brangus.io/survival-llm
102•Luc•2h ago•65 comments

Raspberry Pi Zero 3W and Pi 4 Model A spotted in device trees

https://bret.dk/raspberry-pi-zero-3-w-pi-4-model-a/
36•sthlmb•1h ago•9 comments

New 14‑inch MacBook Pro with M6

https://www.apple.com/in/newsroom/2026/10/apple-introduces-the-new-14-inch-macbook-pro-with-m6/
224•beex•6h ago•263 comments

An examination of lost firefly species of the US and Canada

https://journaloflostspecies.org/index.php/jls/article/view/37/33
55•bryanrasmussen•3d ago•2 comments

Four Months of Zig

https://gracefulliberty.com/articles/four-months-of-zig/
31•ibobev•2h ago•11 comments

Classification of Finite Simple Groups Formalized in Lean

https://cfsg.axiommath.ai/
142•pfdietz•5h ago•36 comments

Python's experimental JIT to be removed

https://lwn.net/SubscriberLink/1102102/0c00e4d550f25f8c/
405•f311a•11h ago•211 comments

New iMac with M6

https://www.apple.com/imac/
277•notfried•9h ago•329 comments

Wikipedia's Cleanup of AI-Generated Content

https://spectrum.ieee.org/wikipedia-wikiproject-ai-writing-cleanup
409•rbanffy•11h ago•187 comments

SS United States to be sunk as largest artificial reef

https://divemagazine.com/scuba-diving-news/ss-united-states-to-be-sunk-as-worlds-largest-artifici...
14•geox•1d ago•10 comments

Introducing LFM3: Every Modality for Specialized Intelligence

https://www.liquid.ai/blog/lfm3
91•Philpax•5h ago•33 comments

One year of Dioxus fullstack in production: the good, the painful

https://oxidt.com/blog/one-year-of-dioxus-fullstack-in-production-the-good-the-painful
13•hauju•59m ago•8 comments

Land Value Capture in Practice: Ethiopia's Urban Land Lease System

https://blog.landeconomics.org/p/land-value-capture-in-practice-reflections
18•surprisetalk•1d ago•0 comments

US Government is hiding a secret court ruling about how it spies on Americans

https://www.wired.com/story/the-us-government-is-hiding-a-secret-court-ruling-about-how-it-spies-...
680•helterskelter2•8h ago•242 comments

Three TLS Bugs in GoAhead

https://foxio.io/blog/choose-your-backend-three-tls-bugs-in-goahead
38•owenshen24•3h ago•4 comments

Why Micron Is Suddenly Ditching 4F² DRAM as Rivals Double Down

https://hothardware.com/news/why-micron-is-suddenly-ditching-4f-dram
123•rbanffy•1d ago•19 comments

Hex Raises $100M

https://hex.tech/blog/hex-new-era/
12•tomwphillips•1h ago•5 comments

Discord will soon let anyone find public server messages through Google

https://discord.com/blog/making-content-from-discoverable-servers-easier-to-discover
161•DeepLogin•3h ago•100 comments

Anthropic trained Claude on illegally obtained Stanford professors' books

https://stanforddaily.com/2026/10/27/professors-books-pirated-to-train-claude/
377•car•6h ago•214 comments

Here be monsters: What do you still need to know when agents do the work?

https://blog.adrq.dev/here-be-monsters-what-do-you-still-need-to-know-when-agents-do-the-work
133•adrq•8h ago•69 comments

Amazon Is Gutting Its AI Division After Sustained Failure

https://futurism.com/artificial-intelligence/amazon-ai-division-failure-nova
170•dpflan•5h ago•83 comments

PHP2Shell, LiteLLM, GitLab: Find What You Need to Patch

https://cloudsleuth.io/blog/php2shell-litellm-gitlab-find-what-you-run/
49•bigfish2026•5h ago•5 comments

Rosettes and Other Hidden Traces of Hamburg's Tram

https://alsterrunde.com/rosettes-and-other-hidden-traces-of-hamburgs-tram/
23•mertbio•1d ago•1 comments

OpenLDK: Bringing the Java World into Common Lisp

https://atgreen.github.io/repl-yell/posts/openldk-java-in-common-lisp/
71•atgreen•2d ago•7 comments

Police are using AI to pull over drivers for 'suspicious' behavior

https://gizmodo.com/police-are-using-ai-to-pull-over-drivers-for-suspicious-behavior-2000831220
307•gumby•5h ago•234 comments

PHP2Shell: Exploitation attempts and remediation trends

https://www.wiz.io/blog/php2shell-exploitation-so-far
177•acossta•8h ago•57 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/