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Inkling: Our Open-Weights Model

https://thinkingmachines.ai/news/introducing-inkling/
88•vimarsh6739•1h ago•37 comments

Codex Micro

https://openai.com/supply/co-lab/work-louder/
172•davidbarker•3h ago•143 comments

Running Gemma 4 26B at 5 tokens/sec on a 13-year-old Xeon with no GPU

https://www.neomindlabs.com/2026/06/08/running-gemma-4-26b-at-5-tokens-sec-on-a-13-year-old-xeon-...
141•neomindryan•3h ago•75 comments

Stripe and Advent have made a joint offer to acquire PayPal – sources

https://www.reuters.com/business/finance/stripe-advent-offer-buy-paypal-more-than-53-billion-sour...
119•rvz•15h ago•65 comments

Mysteries of Telegram Data Centers (2022)

https://dev.moe/en/3025
188•theanonymousone•6h ago•69 comments

Why I Left Google DeepMind

https://turntrout.com/why-i-left-google-deepmind
100•apsec112•43m ago•36 comments

Collection of Digital Clock Designs

https://clocks.dev
62•levmiseri•2h ago•18 comments

Show HN: misa77 - a codec that decodes 2x faster than LZ4 (at better ratios)

https://github.com/welcome-to-the-sunny-side/misa77
78•nonadhocproblem•3h ago•29 comments

Prioritize mental health, and why communication is so important

https://ramones.dev/posts/mental-health/
215•ramon156•7h ago•143 comments

Launch HN: Coasty (YC S26) – An API for computer-use agents

https://coasty.ai/docs
23•nkov47•3h ago•1 comments

Artie (YC S23) Is Hiring Software Engineers

https://jobs.ashbyhq.com/artie
1•tang8330•2h ago

My midlife crisis Corolla is fast, furious, and modded

https://www.zocalopublicsquare.org/my-midlife-crisis-corolla-fast-furious-fully-modded/
96•gmays•5h ago•197 comments

Towards a Harness That Can Do Anything

https://eardatasci.github.io/c/ambiance/index.html
110•evakhoury•5h ago•60 comments

Sleep regularity is a stronger predictor of mortality risk than sleep duration (2023)

https://academic.oup.com/sleep/article/47/1/zsad253/7280269
574•bilsbie•7h ago•284 comments

Open-source memory for coding agents, synced over SSH

https://github.com/vshulcz/deja-vu/
64•vshulcz•3h ago•16 comments

What designing 54 computer science cards taught me about graphic design

https://fhoehl.com/designing-algodeck
24•marukodo•3h ago•10 comments

When A.I. is a member of the family

https://www.newyorker.com/magazine/2026/07/20/when-ai-is-a-member-of-the-family
42•fortran77•3h ago•48 comments

The Memory Heist

https://www.ayush.digital/blog/the-memory-heist
55•eieio•23h ago•5 comments

Briar is in maintenance mode

https://briarproject.org/news/2026-maintenance-mode/
111•ristello•6h ago•77 comments

Editing React components that never rendered

https://blog.crossui.com/2026/07/editing-react-components-that-never-rendered
9•linb•2d ago•1 comments

OpenAI loses trademark dispute at EU court

https://dpa-international.com/economics/urn:newsml:dpa.com:20090101:260715-930-389143/
162•hermanzegerman•4h ago•112 comments

Unsolved Problems in MLOps

https://spawn-queue.acm.org/doi/pdf/10.1145/3762989
22•gnyeki•3h ago•3 comments

Today I Rescued 7,234 Old GIFs

https://danq.me/2026/07/10/rescuing-7234-gifs/
40•birdculture•3d ago•2 comments

A General Goal-Conditioned Minecraft Model

https://pantograph.com/journal/pan-1
24•agajews•2h ago•9 comments

The Three-Second Theft: Why AI Voice Fraud Outruns Every Defence

https://smarterarticles.co.uk/the-three-second-theft-why-ai-voice-fraud-outruns-every-defence
136•dxs•6h ago•174 comments

The well-calibrated Bayesian [pdf] (1982)

https://fitelson.org/seminar/dawid.pdf
40•Murfalo•5h ago•14 comments

Weathergotchi – an E-Paper Climate Logger

https://github.com/Michael-Manning/E-Paper-Climate-Logger
99•luanmuniz•8h ago•22 comments

The Conservationist Who Turned 40 Terabytes of Public Data into a Video Game

https://blog.exe.dev/meet-the-conservationist-who-turned-40-terabytes-of-government-data-into-a-v...
72•bryanmikaelian•1d ago•13 comments

Telegram Serverless

https://core.telegram.org/bots/serverless
134•soheilpro•9h ago•82 comments

FreeBSD 16 Retires the Last of Its GPL Code from Its Base System

https://www.phoronix.com/news/FreeBSD-16-Goes-GPL-Free
62•lr0•2h ago•12 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/