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Nvidia announces native GPU programming in Rust

https://developer.nvidia.com/blog/introducing-cuda-rust-two-tracks-for-writing-gpu-kernels/
244•nonmaskable•14h ago•88 comments

Training a 4B model to produce 81% faster query plans than Postgres

https://rohanbansal.com/qorl
387•polyphilz•6h ago•82 comments

Breaking the 1.58-bit Barrier for Ternary LLMs

https://arxiv.org/abs/2609.16338
136•matt_d•4h ago•16 comments

Xiaomi Mimo 2.6 live post-training dashboard

https://mimo.xiaomi.com/rl/
245•krackers•5h ago•61 comments

Backups Aren't Simple

https://filipovski.net/2026/09/16/backups-arent-simple.html
72•afilipovski•4h ago•27 comments

Small programming tricks

https://will-keleher.com/posts/small-programming-tricks-matter/
391•signa11•9h ago•181 comments

The engineering behind the US Strategic Petroleum Reserve

https://johnjwang.com/post/2026/09/15/engineering-behind-us-strategic-petroleum-reserve
88•johnjwang•1d ago•28 comments

OpenSpec – A lightweight and configurable AI spec framework

https://openspec.dev/
56•etoxin•2h ago•15 comments

Reversing Factorio's RNG

https://gegell.github.io/posts/factorio-rng/
143•jheitmann•4d ago•16 comments

HarnessTax: How Much Does the Harness Matter for Coding Agents?

https://harnesstax.github.io/
28•matt_d•3h ago•3 comments

Performance Improvements in .NET 11

https://devblogs.microsoft.com/dotnet/performance-improvements-in-net-11/
154•soheilpro•1d ago•32 comments

AWS says it can't restore some data from mideast facilities struck by Iran

https://www.wsj.com/world/middle-east/aws-says-it-cant-restore-some-data-from-mideast-facilities-...
225•berkeleyjunk•1d ago•193 comments

Reverse-engineered Jev-like model

https://github.com/vinnylarouge/jevlike
72•rochansinha•6h ago•9 comments

Australia says it could follow Canada in forging deeper ties with EU

https://www.independent.co.uk/news/world/australasia/canda-eu-membership-australia-us-trade-b3050...
115•doener•2h ago•68 comments

Japan's book scene is moving from bookstores to libraries

https://untranslatedjp.substack.com/p/japans-book-scene-is-quietly-moving
103•herbertl•4d ago•39 comments

Show HN: An e-ink frame that hears birds and draws them as 1800s illustrations

https://github.com/arnegiacomo/fugleramme
2078•arnemunthekaas•1d ago•239 comments

Why Does the Universe Expand?

https://cosmicave.org/2026/09/15/why-does-the-universe-expand/
22•the__alchemist•5h ago•10 comments

How good are frontier models at physics?

https://arxiv.org/abs/2609.13009
80•qt31415926•6h ago•38 comments

Developing provably correct Rust code with Verus

https://www.amazon.science/blog/developing-provably-correct-rust-code-with-verus
5•Betelbuddy•2d ago•0 comments

Anecdotally, programmers dislike "reduce"

https://evanhahn.com/posts/2026-09-13-programmers-dislike-reduce/
90•vinhnx•2d ago•151 comments

I replaced my brown-noise browser tab with a menu bar app

https://oldmanrahul.com/2026/09/14/hush/
20•oldmanrahul•12h ago•7 comments

Anatomy of a Texture

https://agentlien.github.io/texture/
73•Agentlien•10h ago•12 comments

Dream-RSI: Recursive Self-Improvement through Evolving Worlds

https://arxiv.org/abs/2609.14858
180•bananaflag•11h ago•49 comments

Accurate Models of AMD Matrix Cores

https://arxiv.org/abs/2609.14845
59•matt_d•6h ago•7 comments

Destroy After Reading: photocopiers,cheap paper and DIY gave metal it's look

https://www.truegrittexturesupply.com/blogs/news/destroy-after-reading
15•pigeons•2d ago•3 comments

Training Text-to-Image Models 3.6× Faster

https://www.linum.ai/field-notes/jit-ddt
34•schopra909•8h ago•7 comments

Hackers Got Inside a Flock Camera

https://www.wired.com/story/hackers-flock-camera-data-shows-how-system-works/
466•driverdan•12h ago•217 comments

The DeepMind Institute

https://institute.deepmind.com/
140•vertigoruntime•10h ago•43 comments

Vectorized and performance-portable Quicksort (2022)

https://opensource.googleblog.com/2022/06/Vectorized%20and%20performance%20portable%20Quicksort.html
162•mococa•6h ago•27 comments

Tell the speakers that you liked their talks

https://ohhelloana.blog/tell-the-speakers/
272•whisper2020•1d ago•75 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/