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Ultramarine 1 Flash

https://www.paperinstruments.com/ultramarine
219•i_rush_carriers•1d ago•66 comments

Tesla Roadster

https://www.tesla.com/roadster
1402•shekhar101•1d ago•2451 comments

Show HN: Llmspeed – feel how fast a local LLM runs before you buy the hardware

https://llmspeed.dev/
50•albinstman•3h ago•21 comments

Llama.cpp on a jailbroken PS5: run any GGUF model natively on the console

https://github.com/cobanov/PS5LM
279•Anon84•13h ago•68 comments

Intuitive concurrent programming in any language

https://www.lf-lang.org/
25•mpweiher•1d ago•3 comments

You could have invented transformers from memory

https://alexwang.ai/posts/associative-memory/
279•speckx•13h ago•67 comments

Claude reveals ECDSA curve origins

https://www.anthropic.com/research/ecdsa-curve-origins
852•ahlCVA•13h ago•316 comments

California is building a $400M shield for Yosemite's most dangerous highway

https://www.sfchronicle.com/california/article/yosemite-national-park-highway-140-22463847.php
39•danso•2d ago•38 comments

Why Math Dumped OpenAI

https://raymyers.org/post/math-dumped-openai/
11•xeonmc•2h ago•0 comments

FLUX 3 Image Klein

https://bfl.ai/blog/flux-3-image-klein
163•gmays•12h ago•45 comments

0/1 Knapsack Problem in PyTorch

https://jedrzej.maczan.pl/2025_11_21_dp_knapsack_sliding_hirschberg
17•yu3zhou4•2d ago•1 comments

Butlerian Jihad

https://dune.fandom.com/wiki/Butlerian_Jihad
208•wetwater•6h ago•112 comments

Apple ML Research: Muse Spark Open with MLX on Mac Studio

https://machinelearning.apple.com/research/mlx-distributed-inference
308•antipaul•18h ago•158 comments

eBay Restricts Listings of Radio Equipment, but Exempts Ham-Band-Only Gear

https://www.arrl.org/arrlletterissue?issue=2026-10-15#eBay-Restricts-Listings-of-Radio-Equipment_...
216•7402•14h ago•177 comments

JPEG XL vs. AVIF for web use-cases

https://jakearchibald.com/2026/jpeg-xl-vs-avif/
252•farlight•16h ago•175 comments

Designing more efficient quantum circuits with Claude

https://www.anthropic.com/research/designing-efficient-quantum-circuits
135•pretext•14h ago•32 comments

$50k First Letters Prize Awarded for PHerc 343

https://scrollprize.substack.com/p/50k-first-letters-prize-awarded-for
7•dcminter•1d ago•0 comments

A story of WiFi secrets, UART lockdowns and a damaged flash memory chip

https://adepts.of0x.cc/eufy-homestation2-firmware/
43•michidk•16h ago•3 comments

I built the RealWorld app in Lean 4

https://leangineer.com/blog/realworld-in-lean/
48•saviorand•2d ago•4 comments

Monte-Carlo Simulations

https://eli.thegreenplace.net/2026/monte-carlo-simulations/
113•ibobev•3d ago•21 comments

Flexport Is Hiring a Biz Ops Leader in Office of CEO

https://www.flexport.com/company/careers/
1•thedogeye•7h ago

90% of US working hours are spent on tasks not covered well by AI benchmarks

https://www.mercor.com/research/labor-index/benchmark-map/
491•speckx•15h ago•413 comments

Show HN: Gemini 4 Argon plays StarCraft

https://starskirmish.com/bench/v0-2/
218•__cayenne__•18h ago•98 comments

Wireless magnetic millirobots that deliver medicine inside the beating heart

https://hub.jhu.edu/2026/10/12/magnetic-millirobots-cardiac-treatment/
94•giuliomagnifico•3d ago•16 comments

How the Claude Code team does code review

https://claude.dev/blog/solving-code-review-at-anthropic/
332•pretext•13h ago•308 comments

C++26: The New Debugging Header

https://www.sandordargo.com/blog/2026/09/30/cpp26-debugging
93•jandeboevrie•13h ago•21 comments

I love software rendering

https://www.jamesfmackenzie.com/2026/10/13/i-love-software-rendering/
318•speckx•19h ago•202 comments

Nine-Inch Snails

https://www.theatlantic.com/science/2026/10/giant-african-snails-florida-invasion/688850/
59•zdw•10h ago•31 comments

New 'super ice' 10 times stronger, bringing it close to the strength of concrete

https://www.sciencealert.com/a-new-super-ice-is-10-times-stronger-bringing-it-close-to-the-streng...
98•andrewl•3d ago•73 comments

Big Fish: Exploiting a 37-Year-Old Kernel Bug in OpenBSD

https://calif.io/research/big-fish
186•rs_rs_rs_rs_rs•17h ago•58 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/