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Gemini 3.1 Pro

https://deepmind.google/models/model-cards/gemini-3-1-pro/
345•PunchTornado•1h ago•225 comments

Show HN: Micasa – track your house from the terminal

https://micasa.dev
78•cpcloud•2h ago•24 comments

Pebble Production: February Update

https://repebble.com/blog/february-pebble-production-and-software-updates
188•smig0•5h ago•78 comments

Paged Out Issue #8 [pdf]

https://pagedout.institute/download/PagedOut_008.pdf
165•SteveHawk27•5h ago•37 comments

Arrays in Forth

https://www.forth.org/svfig/Len/arrays.htm
23•tosh•4d ago•2 comments

Don't Trust the Salt: AI Summarization, Multilingual Safety, and LLM Guardrails

https://royapakzad.substack.com/p/multilingual-llm-evaluation-to-guardrails
145•benbreen•3d ago•58 comments

Gemini 3.1 Pro Preview

https://console.cloud.google.com/vertex-ai/publishers/google/model-garden/gemini-3.1-pro-preview?...
128•MallocVoidstar•2h ago•68 comments

-fbounds-safety: Enforcing bounds safety for C

https://clang.llvm.org/docs/BoundsSafety.html
81•thefilmore•3d ago•56 comments

Coding Tricks Used in the C64 Game Seawolves

https://kodiak64.co.uk/blog/seawolves-technical-tricks
73•atan2•5h ago•4 comments

Show HN: A physically-based GPU ray tracer written in Julia

https://makie.org/website/blogposts/raytracing/
111•simondanisch•7h ago•37 comments

America vs. Singapore: You Can't Save Your Way Out of Economic Shocks

https://www.governance.fyi/p/america-vs-singapore-you-cant-save
128•guardianbob•3h ago•146 comments

Measuring AI agent autonomy in practice

https://www.anthropic.com/research/measuring-agent-autonomy
30•jbredeche•3h ago•11 comments

Bridging Elixir and Python with Oban

https://oban.pro/articles/bridging-with-oban
87•sorentwo•7h ago•41 comments

Large Language Models for Mortals: A Practical Guide for Analysts with Python

https://crimede-coder.com/blogposts/2026/LLMsForMortals
47•apwheele•4d ago•11 comments

Sizing chaos

https://pudding.cool/2026/02/womens-sizing/
758•zdw•20h ago•394 comments

Show HN: Mini-Diarium - An encrypted, local, cross-platform journaling app

https://github.com/fjrevoredo/mini-diarium
80•holyknight•6h ago•43 comments

Dinosaur Food: 100M year old foods we still eat today (2022)

https://borischerny.com/food/2022/01/17/Dinosaur-food.html
63•simonebrunozzi•2h ago•46 comments

Against Theory-Motivated Experimentation

https://journals.sagepub.com/doi/10.1177/26339137261421577
21•paraschopra•3h ago•14 comments

Zero downtime migrations at Petabyte scale

https://planetscale.com/blog/zero-downtime-migrations-at-petabyte-scale
31•Ozzie_osman•3d ago•8 comments

The Mongol Khans of Medieval France

https://www.historytoday.com/archive/feature/mongol-khans-medieval-france
78•Thevet•2d ago•37 comments

Famous Signatures Through History

https://signatory.app/#famous-signatures
32•elliotbnvl•4h ago•28 comments

Show HN: Chaos Studies – attractors and spatial audio (iOS/Mac/Playdate)

https://fieldbw.com/chaos-studies/
3•jlong•4d ago•0 comments

27-year-old Apple iBooks can connect to Wi-Fi and download official updates

https://old.reddit.com/r/MacOS/comments/1r8900z/macos_which_officially_supports_27_year_old/
421•surprisetalk•21h ago•242 comments

Why applicant tracking systems are broken by design

https://www.saj.ad/2026/ats
6•dajas•1h ago•2 comments

Voith Schneider Propeller

https://en.wikipedia.org/wiki/Voith_Schneider_Propeller
77•Luc•3d ago•18 comments

ShannonMax: A Library to Optimize Emacs Keybindings with Information Theory

https://github.com/sstraust/shannonmax
47•sammy0910•6h ago•8 comments

Mark Zuckerberg Grilled on Usage Goals and Underage Users at California Trial

https://www.wsj.com/us-news/law/meta-mark-zuckerberg-social-media-trial-0e9a7fa0
35•1vuio0pswjnm7•2h ago•7 comments

Old School Visual Effects: The Cloud Tank (2010)

http://singlemindedmovieblog.blogspot.com/2010/04/old-school-effects-cloud-tank.html
77•exvi•11h ago•14 comments

15 years of FP64 segmentation, and why the Blackwell Ultra breaks the pattern

https://nicolasdickenmann.com/blog/the-great-fp64-divide.html
179•fp64enjoyer•16h ago•68 comments

Step 3.5 Flash – Open-source foundation model, supports deep reasoning at speed

https://static.stepfun.com/blog/step-3.5-flash/
178•kristianp•15h ago•77 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•10mo ago

Comments

buildsjets•10mo 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•10mo 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•10mo ago
(2003)
throw0101b•10mo 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•10mo ago
Are there any public, open, comprehensive datasets on flights?
dieselerator•10mo 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•10mo 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•10mo 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•10mo 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•10mo 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/