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NanoGPT Speedrun Frontier

https://www.primeintellect.ai/research/nanogpt-speedrun
39•stared•2h ago•9 comments

Scrap

https://twitter.com/moxie/status/2091218652133732491
299•tosh•6h ago•158 comments

Why your local LLM feels dumber than it is

https://forum.level1techs.com/t/why-your-local-llm-feels-dumber-than-it-is/253917
167•felineflock•6h ago•51 comments

ElevenLabs, TwelveLabs, ThirteenLabs

https://quantumi.sh/public/labs.html
293•jemoka•10h ago•100 comments

Hister – A private, full content search index that you control

https://hister.org/
223•auraham•4d ago•65 comments

NetBSD and my life (2005)

https://mail-index.netbsd.org/netbsd-advocacy/2005/09/10/0000.html
92•gnyeki•5h ago•22 comments

RF Cafe

https://www.rfcafe.com/
144•gregsadetsky•3d ago•23 comments

typ.ing

https://typ.ing/
169•bookofjoe•4d ago•54 comments

How a Texas student blew the whistle on a rogue AI hacking attempt

https://www.reuters.com/world/how-texas-student-blew-whistle-rogue-ai-hacking-attempt-2026-08-20/
102•olalonde•1d ago•37 comments

A Friendly Introduction to Racket

https://geometridae.bearblog.dev/a-friendly-introduction-to-racket/
186•signa11•10h ago•92 comments

ATProto spaces: A new extension to ATProto that enables non-public data

https://atproto.com/blog/atproto-spaces-alpha
103•grappler•2d ago•13 comments

hdiutil is deprecated in macOS 27 Golden Gate

https://lapcatsoftware.com/articles/2026/8/7.html
157•zdw•5h ago•62 comments

Canada will match US tariffs 'dollar for dollar' as trade talks break down

https://www.bbc.com/news/articles/cvgvyy4x2mvo
471•tartoran•18h ago•1206 comments

One night in Uzbekistan: Why was this one data point so influential?

https://statmodeling.stat.columbia.edu/2026/08/20/we-couldnt-reproduce-their-findings-and-realize...
75•paulpauper•1d ago•12 comments

Conway's Game of Life in real life

https://blog.coredump.cx/p/conways-game-of-life-in-real-life
34•surprisetalk•2d ago•7 comments

Munder Difflin – Agent harness to run an office of your clones

https://munderdiffl.in/
245•simonpure•15h ago•114 comments

A week of using Codex more than Claude

https://allaboutcoding.ghinda.com/a-week-of-using-codex-more-than-claude/
121•speckx•1d ago•123 comments

Thinking in Python by Bruce Eckel

https://thinkinginpython.com/
44•pjacotg•6h ago•8 comments

Autolith: A programming agent with a live runtime

https://www.lambda-symbolics.com/autolith
109•vismit2000•2d ago•43 comments

Why it might be time to rethink the human family tree

https://nautil.us/why-it-might-be-time-to-rethink-the-human-family-tree-1283985
55•Anon84•2d ago•31 comments

What's in a PowerPoint File?

https://editide.com/blog/what-is-a-pptx-file/
52•danielochoa0620•3d ago•27 comments

Show HN: OzBrain, a shared brain for knowledge between agents and your team

https://ozbrain.com
77•dariusmonsef•1d ago•46 comments

Z80 – The 1970s Microprocessor Still Alive (2021)

https://www.computer.org/csdl/magazine/mi/2021/06/09623402/1yJTvlRLmhi
114•asdefghyk•15h ago•54 comments

A Kantian Critique of "Sorry" by Justin Bieber

https://decodingvibes.com/blog/a-kantian-critique-of-sorry-by-justin-bieber/
194•altmanaltman•11h ago•83 comments

Show HN: terminal-code – VS Code inside the terminal

https://terminal-code.com
71•robpruzan•3d ago•19 comments

Rust Glancer: Rust LSP using 100x less RAM

https://rust-glancer.github.io/blog/hello-world/
394•matklad•1d ago•97 comments

Dynamical dark energy and the week that broke cosmology

https://perimeterinstitute.ca/news/dynamical-dark-energy-and-week-broke-cosmology
40•rznicolet•2d ago•14 comments

New MCP Roadmap

https://blog.modelcontextprotocol.io/posts/mcp-roadmap/
172•pentagrama•11h ago•126 comments

Mythic's analog compute-in-memory architecture

https://www.mythic.ai
45•janandonly•4d ago•23 comments

MiniageOS: "Dumbphone" Version of LineageOS

https://github.com/ofdryads/miniageOS
36•ashenke•2d ago•22 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/