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How to Code Claude Code in 200 Lines of Code

https://www.mihaileric.com/The-Emperor-Has-No-Clothes/
112•nutellalover•2h ago•87 comments

Sopro TTS: A 169M model with zero-shot voice cloning that runs on the CPU

https://github.com/samuel-vitorino/sopro
32•sammyyyyyyy•1h ago•7 comments

Bose is open-sourcing its old smart speakers instead of bricking them

https://www.theverge.com/news/858501/bose-soundtouch-smart-speakers-open-source
1820•rayrey•6h ago•274 comments

The Unreasonable Effectiveness of the Fourier Transform

https://joshuawise.com/resources/ofdm/
74•voxadam•2h ago•25 comments

Google AI Studio is now sponsoring Tailwind CSS

https://twitter.com/OfficialLoganK/status/2009339263251566902
284•qwertyforce•2h ago•84 comments

The Jeff Dean Facts

https://github.com/LRitzdorf/TheJeffDeanFacts
337•ravenical•8h ago•123 comments

Fixing a Buffer Overflow in Unix v4 Like It's 1973

https://sigma-star.at/blog/2025/12/unix-v4-buffer-overflow/
55•vzaliva•3h ago•13 comments

Mux (YC W16) is hiring a platform engineer that cares about (internal) DX

https://www.mux.com/jobs
1•mmcclure•55m ago

SQL Studio

https://sql.studio/
18•handfuloflight•54m ago•3 comments

AI coding assistants are getting worse?

https://spectrum.ieee.org/ai-coding-degrades
142•voxadam•6h ago•182 comments

Ushikuvirus: Newly discovered virus may offer clues to the origin of eukaryotes

https://www.tus.ac.jp/en/mediarelations/archive/20251219_9539.html
43•rustoo•17h ago•11 comments

Digital Red Queen: Adversarial Program Evolution in Core War with LLMs

https://sakana.ai/drq/
67•hardmaru•5h ago•6 comments

Show HN: macOS menu bar app to track Claude usage in real time

https://github.com/richhickson/claudecodeusage
40•RichHickson•3h ago•12 comments

IBM AI ('Bob') Downloads and Executes Malware

https://www.promptarmor.com/resources/ibm-ai-(-bob-)-downloads-and-executes-malware
209•takira•3h ago•99 comments

Task-free intelligence testing of LLMs

https://www.marble.onl/posts/tapping/index.html
19•amarble•2h ago•3 comments

PgX – Debug Postgres performance in the context of your application code

https://docs.base14.io/blog/introducing-pgx/
7•rshetty•1d ago•2 comments

I used Lego to design a farm for people who are blind – like me

https://www.bbc.co.uk/news/articles/c4g4zlyqnr0o
84•ColinWright•3d ago•22 comments

Lights and Shadows (2020)

https://ciechanow.ski/lights-and-shadows/
211•kg•6d ago•30 comments

Intellectual Junkyards

https://www.forester-notes.org/QHXS/index.xml
20•ysangkok•3d ago•5 comments

Project Patchouli: Open-source electromagnetic drawing tablet hardware

https://patchouli.readthedocs.io/en/latest/
409•ffin•16h ago•46 comments

Iran Goes Into IPv6 Blackout

https://radar.cloudflare.com/routing/ir
325•honeycrispy•5h ago•239 comments

A closer look at a BGP anomaly in Venezuela

https://blog.cloudflare.com/bgp-route-leak-venezuela/
358•ChrisArchitect•15h ago•187 comments

Texas court blocks Samsung from tracking TV viewing, then vacates order

https://www.bleepingcomputer.com/news/security/texas-court-blocks-samsung-from-tracking-tv-viewin...
27•speckx•1h ago•5 comments

Support for the TSO memory model on Arm CPUs (2024)

https://lwn.net/Articles/970907/
7•weinzierl•1h ago•2 comments

Dell admits consumers don't care about AI PCs

https://www.pcgamer.com/hardware/dells-ces-2026-chat-was-the-most-pleasingly-un-ai-briefing-ive-h...
307•mossTechnician•1d ago•224 comments

Open Infrastructure Map

https://openinframap.org
395•efskap•18h ago•90 comments

Dynamic Large Concept Models: Latent Reasoning in an Adaptive Semantic Space

https://arxiv.org/abs/2512.24617
45•gmays•5h ago•4 comments

Show HN: DeepDream for Video with Temporal Consistency

https://github.com/jeremicna/deepdream-video-pytorch
60•fruitbarrel•8h ago•20 comments

The Napoleon Technique: Postponing things to increase productivity

https://effectiviology.com/napoleon/
230•Khaine•3d ago•120 comments

Kernel bugs hide for 2 years on average. Some hide for 20

https://pebblebed.com/blog/kernel-bugs
272•kmavm•19h ago•146 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•8mo ago

Comments

buildsjets•8mo 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•8mo 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•8mo ago
(2003)
throw0101b•8mo 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•8mo ago
Are there any public, open, comprehensive datasets on flights?
dieselerator•8mo 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•8mo 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•8mo 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•8mo 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•8mo 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/