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China’s open-weights AI strategy is winning

https://werd.io/american-ai-is-locked-down-and-proprietary-its-losing/
929•benwerd•9h ago•758 comments

Who's Afraid of Chinese Models?

https://stratechery.com/2026/whos-afraid-of-chinese-models/
139•mfiguiere•13h ago•104 comments

Kimi Work

https://www.kimi.com/products/kimi-work
348•ms7892•6h ago•165 comments

Human mathematicians are being outcounterexampled

https://xenaproject.wordpress.com/2026/07/20/human-mathematicians-are-being-outcounterexampled/
166•artninja1988•5h ago•59 comments

Jelly UI: Soft-body physics for native HTML form controls

https://jelly-ui.com/
300•baldvinmar•7h ago•125 comments

Hacker wipes Romania's land registry database

https://news.risky.biz/risky-bulletin-hacker-wipes-romanias-entire-land-registry-database/
553•speckx•10h ago•310 comments

Nativ: Run frontier open models locally on your Mac

https://blaizzy.github.io/nativ/
156•aratahikaru5•5h ago•66 comments

Airport Simulator

https://airport.apunen.com/
676•apunen•13h ago•135 comments

I wrote an bash enumerator because I was sick of xargs

https://numerlab.org/2025/07/20/bashumerate-enumerator/
35•wallach-game•4h ago•31 comments

Show HN: Immersive Gaussian Splat tour of grace cathedral, San Francisco

https://vincentwoo.com/3d/grace_cathedral/
49•akanet•4h ago•6 comments

Agent swarms and the new model economics

https://cursor.com/blog/agent-swarm-model-economics
97•jlaneve•6h ago•42 comments

Launch HN: Bloomy (YC S26) – AI-powered mastery learning for K-12

55•alexsouthmayd•7h ago•73 comments

LEDs’ potential to save our night skies

https://spectrum.ieee.org/led-light-pollution
203•defrost•11h ago•155 comments

How we measured AI writing across arXiv, and where the measurement breaks

https://unslop.run/blog/measuring-ai-writing-on-arxiv
189•dopamine_daddy•7h ago•138 comments

Corners Don't Look Like That: Regarding Screenspace Ambient Occlusion (2012)

https://nothings.org/gamedev/ssao/
142•firephox•9h ago•61 comments

The Power of Awareness: Overcoming Surveillance Capitalism

https://www.scottrlarson.com/presentations/overcoming-surveillance-capitalism-with-awareness/
38•trinsic2•4h ago•5 comments

You only need the frontier model for one single edit

https://stencil.so/blog/prewalk
58•jxmorris12•5d ago•13 comments

Perfection is not over-engineering

https://var0.xyz/posts/perfection-is-not-over-engineering.html
185•var0xyz•10h ago•85 comments

The Psychology of Software Teams

https://www.routledge.com/The-Psychology-of-Software-Teams/Hicks/p/book/9781032963389
5•dcre•5d ago•1 comments

My two year old taught me constraint solving

https://thecomputersciencebook.com/posts/how-my-2yo-taught-me-constraint-solving/
17•bambataa•1w ago•9 comments

85.3 GFlops: Optimizing FP32 Matrix Multiplication on a Single AMD Zen 3 Core

https://github.com/houslast3/85.30-GFLOPS-Single-Core-FP32-Matrix-Multiplication-on-AMD-Zen-3
39•houslast•3d ago•14 comments

Shinjuku Station in 3D

https://satoshi7190.github.io/Shinjuku-indoor-threejs-demo/
134•Gecko4072•10h ago•26 comments

Show HN: OTP Inspired actor supervisor based full stack templates

https://shipstacks.tech
8•annrap1d•10h ago•1 comments

Exploit brokers pay $500k for WordPress RCEs. I found one with GPT5.6 and $25

https://slcyber.io/research-center/exploit-brokers-pay-500000-for-a-wordpress-rce-i-found-one-wit...
379•infosecau•15h ago•209 comments

Kimi K3, Qwen 3.8, and Anthropic's (Potential) Unravelling

https://www.emergingtrajectories.com/lh/frontier-lab-economics/
270•cl42•8h ago•284 comments

The drivers behind software delivery inefficiency

https://dl.acm.org/doi/10.1145/3800646.3800650
52•qaprof•6h ago•27 comments

The Voice of Google

https://www.newyorker.com/culture/the-weekend-essay/the-voice-of-google
161•littlexsparkee•8h ago•78 comments

Hyprland 0.55 announced the switch to Lua for its config files

https://hypr.land/news/update55/
119•matesz•6h ago•102 comments

Cross sectioning insects in an electron microscope with a femtosecond laser [video]

https://www.youtube.com/watch?v=NwhVJ7cv9B4
73•surprisetalk•8h ago•4 comments

Mythologizing AI makes it more likely that we’ll fail to operate it well (2023)

https://www.newyorker.com/science/annals-of-artificial-intelligence/there-is-no-ai
57•simonebrunozzi•8h ago•90 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/