The Fed says this is a cube of $1M. They're off by half a million
calvin.sh
Figma Files Registration Statement for Proposed Initial Public Offering
figma.com
The Roman Roads Research Association
romanroads.org
Feasibility study of a mission to Sedna - Nuclear propulsion and solar sailing
arxiv.org
Ask HN: Who is hiring? (July 2025)
Show HN: Spegel, a Terminal Browser That Uses LLMs to Rewrite Webpages
simedw.com
Code⇄GUI bidirectional editing via LSP
jamesbvaughan.com
The Hoyle State (2021)
johncarlosbaez.wordpress.com
I built something that changed my friend group's social fabric
blog.danpetrolito.xyz
Show HN: Core – open source memory graph for LLMs – shareable, user owned
github.com
Muxio: Rust layered stream and RPC toolkit
crates.io
Experience converting a mathematical software package to C++20 modules [PDF]
arxiv.org
Building a Personal AI Factory
john-rush.com
Ask HN: Who wants to be hired? (July 2025)
Cua (YC X25) is hiring an engineer
ycombinator.com
When Did Nature Burst into Vivid Color?
quantamagazine.org
OpenFLOW – Quickly make beautiful infrastructure diagrams local to your machine
github.com
Swearing as a Response to Pain: Assessing Effects of Novel Swear Words
frontiersin.org
Graph Theory Applications in Video Games
utk.claranguyen.me
All Good Editors Are Pirates: In Memory of Lewis H. Lapham
laphamsquarterly.org
Show HN: HackerNewt - Breadth-first exploring HN client for iOS
apps.apple.com
The Hidden Engineering of Liquid Dampers in Skyscrapers
practical.engineering
The wanton destruction of a creative-tech era
blog.greg.technology
Show HN: Jobs by Referral: Find jobs in your LinkedIn network
jobsbyreferral.com
I thought the point of a sliding window, especially a fixed one, is to add the next element and subtract the oldest one from a running sum, to achieve O(1) running time except the start cost. This is what an efficient constant-time median filter in image processing would do, such as Perreault and Hébert's Median Filtering in Constant Time, and Weiss' Fast Median and Bilateral Filtering do.
Edit: I can't see the visualizer explaining this part.