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A false smoke alarm almost drowned Jane Street's only NYC datacenter

https://michael.bacarella.com/2026/11/10/false-smoke-alarm-jane-street-datacenter/
133•mbac32768•1h ago•66 comments

Tim Peters has died

https://discuss.python.org/t/in-memoriam-tim-peters-1952-2026/110028
118•ayhanfuat•11h ago•17 comments

Faster Retrieval for Better, More Efficient RAG

https://machinelearning.apple.com/research/faster-retrieval
26•zerop•1h ago•0 comments

Google SWE points 48 AI agents at NASA Lidar, finds unmapped Maya pyramid in 72h

https://pietromiotti.com/latest/maya-site/?maya
760•eyvindn•5h ago•283 comments

Hyper-Realistic Sand with WebGL2

https://av.github.io/safe-sand/
155•everlier•4h ago•32 comments

Atuin Threads: All your agent sessions on every machine

https://blog.atuin.sh/threads-agent-sessions/
109•linsomniac•3h ago•39 comments

Launch HN: Pomerado (YC F26) – Turn any website into an MCP for agents

https://pomerado.ai/
11•alanjm23•51m ago•3 comments

Can a Linear Program Do Weight-Space Programming?

https://nathan.rs/posts/weight-space-lp/
173•emschwartz•5h ago•29 comments

Pharo in the Browser with WebAssembly

https://massimo-nocentini.github.io/pharo-vm/world.html
94•xkriva11•3h ago•22 comments

Show HN: Yogurt – Free, private, open-source alternative to Granola

https://github.com/FrigadeHQ/yogurt
30•brownrout•2h ago•11 comments

Using voltage glitching to unleash the A100 in my mining card

https://blog.kate.land/posts/using-voltage-glitching-to-unlock-the-a100/
185•lae•7h ago•64 comments

Show HN: Klad, a paint app your coding agent can drive (source-available)

https://github.com/klad-app/klad
29•ambewas•2h ago•10 comments

100x Developers

https://jcarreras.es/posts/100x-developers/
26•krenel•2h ago•23 comments

Show HN: Godbolt-in-a-floating-window for Neovim (C, C++, Rust)

https://github.com/0xdeadf1sh/AssemblyForNeovim
62•0xdeadf1sh•4h ago•5 comments

TimeNet: Open-source data infrastructure for Temporal Foundation Models

https://github.com/OpenTSLM/TimeNet
6•rjakob•1d ago•1 comments

I asked every TV manufacturer 17 questions about how they spy on you

https://www.theverge.com/tech/1012372/tv-privacy-acr-questions
249•Brajeshwar•4h ago•136 comments

The hardest notes to find on the guitar fretboard

https://www.gitori.com/blog/articles/hardest-notes-on-the-guitar-fretboard
21•udit99•1h ago•12 comments

Tinfoil (YC P25) is hiring an applied AI security engineer in San Francisco

1•FrasiertheLion•6h ago

The Computer Graphics Book of Knowledge

https://www.cs.cmu.edu/~ph/nyit/masson/history.htm
23•num42•2h ago•2 comments

We need more goat sacrifices

https://www.experimental-history.com/p/we-need-more-goat-sacrifices
112•iamnothere•5h ago•74 comments

Hooked on Tuna

https://theconversation.com/hooked-on-tuna-people-have-been-harvesting-these-ocean-predators-for-...
45•dnetesn•15h ago•17 comments

Apple is killing its Support Community forum next week

https://www.theverge.com/tech/1031507/apple-community-support-forum-shutting-down
194•saikatsg•4h ago•106 comments

Protecting SSH Keys with macOS Secure Enclave

https://gatezh.com/posts/macos-secure-enclave-ssh-keys/
356•js2•13h ago•126 comments

Show HN: Micron – Oberon with the Power of C

https://github.com/rochus-keller/Micron
9•Rochus•3d ago•6 comments

Show HN: 3D to 2D, point clouds flattening (geometry images)

https://github.com/Neighborhood-Grid/flatpoints
6•adec314•2d ago•1 comments

Attention to Mamba: A Recipe for Cross-Architecture Distillation

https://machinelearning.apple.com/research/attention-mamba-distillation
35•zerop•4h ago•3 comments

EventSourcingDB 1.3.0 Is Available

https://www.eventfoundation.io/resources/blog/eventsourcingdb-1-3-0-is-available
32•goloroden•4h ago•4 comments

Peer-to-peer WebRTC connections with built-in signaling and discovery

https://github.com/lukks/like-webrtc
52•LuKks•2d ago•16 comments

Reddit Migration's Impact on Lemmy (2023)

https://www.jmis.org/archive/view_article?pid=jmis-10-4-333
16•Rochus•1h ago•9 comments

Apple has new Mac app coming to make running local AI models easy

https://9to5mac.com/2026/11/10/apple-has-new-mac-app-coming-to-make-running-local-ai-models-easy/
467•linolevan•20h ago•483 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/