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Things to know when you get cancer

https://jjmaxwell4.com/writing/things-to-know-when-you-get-cancer/
825•jjmaxwell4•6h ago•210 comments

OpenCode 2.0

https://anoma.ly/notes/opencode-2-0/
321•gmays•5h ago•136 comments

Tiny Little Office

https://tinylittleoffice.com/
154•donohoe•4h ago•22 comments

LFM2.5-24B-A2B: Built for fast on-device agents

https://www.liquid.ai/blog/lfm2-5-24b-a2b
78•gmays•2h ago•19 comments

We’re releasing Jev 1.14.0 along with experimental features for dreamers

https://typesafe.ai/blog/jev-1-14
193•emschwartz•5h ago•61 comments

Do dentists know what they're doing?

https://mapwriting.substack.com/p/dentists
436•doitLP•2d ago•330 comments

The Double Headed Stack Allocator

https://blog.demofox.org/2026/10/03/the-double-headed-stack-allocator/
4•g0xA52A2A•6m ago•0 comments

Americans' social activity has steeply declined in the past 30 years

https://www.dataforprogress.org/blog/2026/9/29/americans-social-activity-has-steeply-declined-in-...
237•hubraumhugo•10h ago•265 comments

Better HTTP/1 connection reuse in Go 1.27

https://go.dev/blog/http-connection-reuse
203•allddd•9h ago•30 comments

Containment and monitoring failures are to blame for AI hacking reports: experts

https://www.csoonline.com/article/4234854/ai-agents-arent-going-rogue-frontier-labs-are-skipping-...
839•latexr•8h ago•452 comments

Fancy Curl Sites

https://nytpu.com/gemlog/2026-03-18
87•adunk•6h ago•16 comments

your C is not standard C

https://sebsite.pw/w/20261012-notstdc.html
25•dverlaeckt80•1d ago•6 comments

Catch a Bird – I made it for my own sanity

https://catchabird.com
4•eduardsik•2d ago•2 comments

Show HN: Petal, open-source CoScreen/ScreenHero finally free

https://petal.live/
115•thedracle•7h ago•30 comments

Ask HN: CAD for wood working with LLM support?

26•reacharavindh•1d ago•24 comments

Banks are now trying to offload the AI data center debt they just underwrote

https://startupfortune.com/banks-are-now-trying-to-offload-the-ai-data-center-debt-they-just-unde...
298•smartmic•7h ago•220 comments

Phloem: Git history grown like a slime mold

https://phloem.stemdeck.app/
84•thclpr•2d ago•19 comments

Fire at Starlink site in Bulgaria after suspected sabotage in Poland

https://dpa-international.com/politics/urn:newsml:dpa.com:20090101:261014-930-839530/
291•ilamont•7h ago•204 comments

Anthropic's Scion is heavily inspired by Mononoke

https://sunshowers.io/posts/anthropic-mononoke/
260•sunshowers•5h ago•112 comments

Submarine cable resilience

https://blog.apnic.net/2026/10/14/submarine-cable-resilience/
132•speckx•10h ago•50 comments

Has AI tells

https://theconsensus.dev/blog/2026/10/14/has-ai-tells.html?focus=1
84•7777777phil•9h ago•75 comments

Passkeys are not a trap

https://scotthelme.co.uk/passkeys-are-not-a-trap/
500•speckx•10h ago•669 comments

Virtual Oxide Labs: Emulating a Full Oxide Rack

https://oxide.computer/blog/voxel-labs
73•tosh•7h ago•7 comments

How Amazon pushes up prices all across the Internet

https://www.not-ship.com/how-amazon-pushes-up-prices-all-across-the-internet/
724•sighborg•16h ago•595 comments

Suicide rates highest ever among middle-aged men

https://www.telegraph.co.uk/news/2026/10/13/suicide-rates-highest-ever-among-middle-aged-men/
275•ivewonyoung•7h ago•364 comments

Yandex outage: data shows that instead of going dark, malicious bots moved

https://blog.cloudflare.com/yandex-outage/
220•coloneltcb•5h ago•70 comments

Show HN: I wrote an email app that accepts only one sender per inbox

https://clova.email/
88•edpin2000•9h ago•60 comments

Why is every rationalist blog post way too long?

https://alexwennerberg.com/blog/2026-10-13-long.html
207•epestr•20h ago•151 comments

Google is silently linking your phone number across all signed-in accounts

https://www.androidauthority.com/google-auto-phone-number-verification-android-3723117/
390•Brajeshwar•9h ago•99 comments

Pg_vectorsearch: An index that is faster than pgvector's IVFFlat and HNSW

https://github.com/timescale/pg_vectorsearch
196•jascha_eng•14h ago•49 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/