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AI Models Can Provably Hide Arbitrary Capabilities

https://arxiv.org/abs/2610.13928
142•sbulaev•4h ago•74 comments

The baffling intelligence of a single cell (2024)

https://jsomers.net/e-coli-chemotaxis/
207•jsomers•1d ago•28 comments

GLM-Legal

https://z.ai/blog/glm-legal
520•ilreb•14h ago•298 comments

A Modern Web App in C

https://prophitt.me/writing/a-modern-web-app-in-c
508•prophittcorey•14h ago•213 comments

Intel D270 GPU AI Accelerator–Up to 480 GB LPDDR5X

https://www.intel.com/content/www/us/en/products/details/discrete-gpus/data-center-gpu/d-series.html
161•hurricanepootis•9h ago•72 comments

Hackers activate automatic defrosting in supermarket fridges across Europe

https://www.tomshardware.com/tech-industry/cyber-security/unprecedented-cyberattack-cripples-supe...
604•Zeekaas•18h ago•761 comments

Threat of AI share crash puts world financial stability at risk, says IMF

https://www.theguardian.com/business/2026/oct/13/ai-share-crash-risk-global-imf-debt-corrowing-cy...
42•novaRom•1h ago•20 comments

Who is vfmaddrnd231pd?

https://purplesyringa.moe/blog/who-is-vfmaddrnd231pd/
174•pngmangi•9h ago•17 comments

The Dock on Mac, from OS 10 to macOS 27

https://blog.jim-nielsen.com/2026/macos-dock-icons-over-time/
66•soheilpro•4h ago•37 comments

Janas: Run LLMs larger than RAM by streaming experts from SSD

https://github.com/prabanta-dev/janas
103•khalidkhair•8h ago•32 comments

Making big downloads resumable in Firefox

https://lunarwatcher.codeberg.page/til/firefox/resumable-big-downloads.html
166•speckx•11h ago•66 comments

Auto Research: Integer multiplication below n log n

https://app.getsupers.com/auto-research
48•swesnow•1d ago•19 comments

Turn a WiFi 7 Router into a 320Msps Software Defined Radio Receiver

https://github.com/h0m3us3r/w1700k-sdr
319•djfergus•18h ago•89 comments

AI is a tool and using it well takes skill

https://yyhh.org/blog/2026/10/ai-is-a-tool/
354•layer8•9h ago•281 comments

Launch HN: Agent37 (YC F26) – Low-cost agent sandboxes for running agents

127•vishnukool•14h ago•91 comments

Citroen revives the 2CV for an electric age

https://www.bbc.com/news/articles/c620r33plgppo
313•scrlk•18h ago•347 comments

Phreak.ing – Internet Phone Switch

https://phreak.ing/
113•rickcarlino•9h ago•32 comments

Writing a Demoscene Intro for the ZX Spectrum

https://www.markround.com/blog/2026/zx-spectrum-intro
107•zdw•11h ago•18 comments

Solar panels that plug into your wall

https://www.nationalgeographic.com/environment/article/balcony-plug-in-solar-panels-renewable-energy
170•speckx•16h ago•157 comments

Show HN: SolidCraft – Open-Source Parametric CAD in Rust (With MCP Support)

https://github.com/bherbruck/solidcraft
34•bherbruck•6h ago•3 comments

Secret of Orange Cats Revealed After 60-Year Search

https://www.sciencealert.com/secret-of-orange-cats-finally-revealed-after-60-year-search
259•bookofjoe•2d ago•181 comments

Denmark set to allow return of 'physical force' in school

https://www.lemonde.fr/en/international/article/2026/10/10/denmark-set-to-allow-the-return-of-phy...
8•janisz•33m ago•3 comments

Show HN: An experimental pattern-first DAW that supports MCP

https://github.com/andrewfader/blokkily
44•androsynth89•7h ago•22 comments

Kevin Kelly's 2016 AI Predictions, 10 Years Later

https://taylor.town/kk-ai-2026
176•surprisetalk•15h ago•65 comments

The Making Of Super Mario 64 – full Giles Goddard interview (2001)

https://pixelatron.com/blog/the-making-of-super-mario-64-full-giles-goddard-interview-ngc/
241•gregsadetsky•2d ago•93 comments

Codex CLI installs a persistent, self-updating background daemon by default

https://github.com/openai/codex/issues/48195
535•whimblepop•12h ago•271 comments

Show HN: Brickbrag – A multiplayer brick-building world in the browser

https://brickbrag.com/
52•neuling•9h ago•31 comments

A look at OpenAI’s math that’s claimed computes faster Fourier transforms

https://www.argmin.net/p/faster-fourier-transforms
97•mochomocha•4h ago•65 comments

Muse Wonder

https://research.meta.ai/blog/muse-wonder
609•meetpateltech•14h ago•327 comments

Show HN: Atticus – Hold-to-talk voice assistant for macOS that runs on Claude -p

https://github.com/SaarthurR/atticus-mac
94•SaarthRanka•1d ago•19 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/