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DeepSeek Harness

https://github.com/deepseek-ai/deepseek-harness
208•bjin•2h ago•93 comments

Spaghettifying DRAM

https://github.com/xoreaxeaxeax/skitter-creek-bath-salts
70•matt_d•49m ago•7 comments

AI agents lie, cheat and steal. That is putting off users

https://www.economist.com/business/2026/08/12/ai-agents-lie-cheat-and-steal-that-is-putting-off-u...
75•andsoitis•1h ago•58 comments

Gloomberb

https://gloom.sh/
87•rbanffy•1h ago•21 comments

Heart Aerospace Completes First Flight of Largest Electric Aircraft

https://www.heartaerospace.com/newsroom/heart-aerospace-completes-first-flight-of-world-s-largest...
36•chha•55m ago•17 comments

Anthropic: Introducing The Conceptual Reasoning Index

https://alignment.anthropic.com/2026/conceptual-reasoning-index/
31•optimalsolver•1h ago•22 comments

Show HN: MCP Memory – Fast Agent Memory Using Google's OKF and SQLite FTS5

https://github.com/fellowgeek/mcp-memory
25•pcbmaker20•1h ago•6 comments

My Rules for Using Spreadsheets

https://leancrew.com/all-this/2026/08/my-rules-for-using-spreadsheets/
35•surprisetalk•2h ago•28 comments

Time to Move On: Querying Without Nulls and Bags

https://arxiv.org/abs/2608.10863
16•Jimmc414•1h ago•0 comments

Deutsche Bank becomes first foreign yuan clearing bank in Europe

https://tradersunion.com/news/central-banks/show/2973571-deutsche-bank-becomes/
229•Markoff•2h ago•259 comments

I Built a 500k-Domain Search Engine for Makers in a Weekend for $10

https://alexmorleyfinch.github.io/marlin/history/v1/article/the_birth.html
23•dreamforever•1h ago•13 comments

ATG (YC F25) Is Hiring Member of Technical Staff (Data Platform)

https://atg.science/careers
1•dkobran•3h ago

Picking berries is my meditation

https://www.tsoon.com/posts/picking-berries-meditation/
73•mooreds•4d ago•50 comments

Kubernetes on Oxide: How Customer Needs Shaped Our Integrations

https://oxide.computer/blog/kubernetes-on-oxide
9•stevehipwell•40m ago•0 comments

ChatGPT Desktop (Codex Desktop) for Linux

https://openai.com/codex/
328•allanrbo•10h ago•230 comments

Better Gaussian Splatting in Julia

https://pxl-th.github.io/blog/better-gs-julia/
49•pxl-th•4d ago•5 comments

We eliminated 1,400 CVEs in NanoClaw's container images

https://www.echo.ai/blog/echo-xnanoclaw-under-the-hood
5•omrimaya•48m ago•1 comments

DeepSeek V4 Pro 0813

https://openrouter.ai/deepseek/deepseek-v4-pro-0813
1004•explosion-s•23h ago•430 comments

The lattice of sets of natural numbers is rich (2021)

https://jdh.hamkins.org/the-lattice-of-sets-of-natural-numbers-is-rich/
78•benmandrew•3d ago•13 comments

The mathematical physics of rainbows and glories(2001) [pdf]

https://tlakoba.w3.uvm.edu/AppliedUGMath/auxpaper_rainbow_glory_review.pdf
4•num42•2d ago•0 comments

Graduate Student Proves a Quantum Uncertainty Principle for Fractals

https://www.quantamagazine.org/graduate-student-proves-the-fractal-uncertainty-principle-20260812/
5•bookofjoe•44m ago•0 comments

Qwen3.8-2.4T

https://huggingface.co/Qwen/Qwen3.8-2.4T-A95B
692•Philpax•1d ago•161 comments

Choosing an AI model: one prompt, 11 models, different results

https://www.netlify.com/blog/one-prompt-11-models-very-different-results/
79•toddmorey•2h ago•47 comments

Delta

https://zed.dev/blog/introducing-delta
626•khy•20h ago•229 comments

Principia Mathematica is modern and insightful

https://okmij.org/ftp/Computation/Impressions/PrincipiaMathematica.html
237•matt_d•15h ago•115 comments

DeepSeek API Pricing Update

https://twitter.com/deepseek_ai/status/2087864589895798968
56•mfiguiere•2h ago•20 comments

Nine PBS could lose 70 years of archives after cloud vendor goes defunct

https://www.tomshardware.com/software/cloud-storage/nine-pbs-loses-access-to-70-years-of-data-aft...
46•vinayakborkar•1h ago•19 comments

What garbage collection actually costs

https://shivanshuag.com/blog/what-garbage-collection-actually-costs/
10•shivanshuag•3d ago•15 comments

Come for ENIAC, Stay for UNIVAC and Skeduflo

https://uniqueatpenn.wordpress.com/2026/08/05/come-for-eniac-stay-for-univac-and-skeduflo/
22•cainxinth•2d ago•2 comments

AI Generated 3D Models Flood Market, but Almost No One Is Buying Them

https://www.404media.co/ai-generated-3d-models-flood-market-but-almost-no-one-is-buying-them/
13•Jimmc414•1h ago•15 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/