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Terrence Tao's ChatGPT Conversation about the Jacobian Conjecture Counterexample

https://chatgpt.com/share/6a5fdc7a-d6f8-83e8-bbea-8deb42cfed56
302•gmays•2h ago•143 comments

GigaToken: ~1000x faster Language model tokenization

https://github.com/marcelroed/gigatoken/
172•syrusakbary•2h ago•30 comments

Show HN: Bento - An entire PowerPoint in one HTML file (edit+view+data+collab)

https://bento.page/slides/
469•starfallg•4h ago•101 comments

Are AI Labs Pelicanmaxxing?

https://dylancastillo.co/posts/pelicanmaxxing.html
139•dcastm•2h ago•52 comments

Making

https://beej.us/blog/data/ai-making/
192•erikschoster•4h ago•77 comments

Nobody knows what a used GPU cluster is worth

https://ciphertalk.substack.com/p/nobody-knows-what-a-used-gpu-cluster
74•rbanffy•1w ago•64 comments

Everyone Should Know SIMD

https://mitchellh.com/writing/everyone-should-know-simd
52•WadeGrimridge•2h ago•17 comments

The startup's Postgres survival guide

https://hatchet.run/blog/postgres-survival-guide
229•abelanger•7h ago•123 comments

Can a MUD evaluate LLMs? A $99 proof of concept

https://cruciblebench.ai/
63•Davisb135•4h ago•36 comments

Ghost Cut – or why Cut and Paste is broken everywhere

https://ishmael.textualize.io/blog/ghost-cut/
78•willm•5h ago•54 comments

Mechanical light bulb from 1675 [video]

https://www.youtube.com/watch?v=0Y-9GbsS9Fg
49•kadohg•1w ago•20 comments

Launch HN: Unlayer (YC W22) – Add email and document builders to your app

https://unlayer.com
29•adeelraza•3h ago•22 comments

Does creatine make you smarter?

https://dynomight.net/creatine/
154•surprisetalk•4h ago•143 comments

“We have information that Moonshot distilled Fable for the development of K3”

https://twitter.com/mkratsios47/status/2079933645888880708
142•softwaredoug•5h ago•323 comments

10 REM"_(C2SLFF4

https://beej.us/blog/data/mystery-comment/
133•ingve•7h ago•37 comments

Perlin's Noise Algorithm

https://blog.jaysmito.dev/blog/02-perlins-noise-algorithm/
50•ibobev•4h ago•10 comments

Show HN: Web swing through midtown NYC

https://www.swingnyc.com/
47•shahahmed•3h ago•17 comments

Show HN: HN Hall of Fame – browse 3,100 legendary Hacker News links

https://www.orangecrumbs.com/hall/
151•oyster143•4h ago•36 comments

Introduction to Formal Verification with Lean Part 1

https://hashcloak.com/blog/tutorial-introduction-to-formal-verification-with-lean-(part-1)
210•badcryptobitch•3d ago•41 comments

Show HN: DeepSQL – A self-hostable DBA agent for Postgres and MySQL

https://deepsql.ai/
24•venkat971•2d ago•16 comments

Nvidia DGX Spark as a daily driver

https://daniel.lawrence.lu/blog/2026-07-15-dgx-spark-as-daily-driver/
8•plun9•3d ago•1 comments

Passkeys were invented by engineers with zero understanding of consumer brain

https://twitter.com/nikitabier/status/2079787406300266743
327•ksec•5h ago•425 comments

OpenNode – Bitcoin Payment Processor

https://opennode.com/
95•gurjeet•5h ago•80 comments

Neo Radar: A browser-based orbital mechanics engine with 41k real asteroids

https://neoradar.space
48•daviazpen•4h ago•13 comments

Hologram works. Elixir runs in the browser

https://hologram.page/blog/backing-hologram
73•lawik•5h ago•13 comments

Intel Starts Shipping High-NA EUV Silicon

https://morethanmoore.substack.com/p/intel-starts-shipping-high-na-euv
220•zdw•4d ago•94 comments

I tried to record music onto a cassette tape using modern tech

https://swiftrocks.com/i-tried-to-record-music-onto-a-cassette-tape-using-modern-tech
18•rockbruno•5d ago•14 comments

LG to ban residential proxies from smart TV apps

https://krebsonsecurity.com/2026/07/lg-to-ban-residential-proxies-from-smart-tv-apps/
357•DemiGuru•18h ago•358 comments

ScreenWall – Turn old phones into synced widgets for your space

https://screenwall.app/
114•buibuibui•5d ago•42 comments

When is NVLink worth it?

https://platform-fools.com/posts/2026-04-27-nvlink/
36•ak_t•5h ago•8 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/