Tootfinder

Sonnet 128 - CXXVIII
How oft when thou, my music, music play'st,
Upon that blessed wood whose motion sounds
With thy sweet fingers when thou gently sway'st
The wiry concord that mine ear confounds,
Do I envy those jacks that nimble leap,
To kiss the tender inward of thy hand,
Whilst my poor lips which should that harvest reap,
At the wood's boldness by thee blushing stand!
To be so tickled, they would change their state
…

Comprehensive indicators and fine granularity refine density scaling laws in rural-urban systems
Jack Sutton, Quentin S. Hanley, Gerri Mortimore, Ovidiu Bagdasar, Haroldo V. Ribeiro, Thomas Peron, Golnaz Shahtahmassebi, Peter Scriven
https://arxiv.org/abs/2509.14258

Comprehensive indicators and fine granularity refine density scaling laws in rural-urban systems
Density scaling laws complement traditional population scaling laws by enabling the analysis of the full range of human settlements and revealing rural-to-urban transitions with breakpoints at consistent population densities. However, previous studies have been constrained by the granularity of rural and urban units, as well as limitations in the quantity and diversity of indicators. This study addresses these gaps by examining Middle Layer Super Output Areas (MSOAs) in England and Wales, incor…

"participating artists will have “full control” over how their likeness and music are used, though it doesn’t share how."
Sure.
https://www.theverge.com/news/829189/warner-music-group-suno-ai-licensing-deal

Reconstruction of Boundary Data in the Helmholtz Equation Using Particle Swarm Optimization
Jamal Daoudi, Chakir Tajani
https://arxiv.org/abs/2510.05755 https://

Reconstruction of Boundary Data in the Helmholtz Equation Using Particle Swarm Optimization
This paper tackles the data completion problem related to the Helmholtz equation. The goal is to identify unknown boundary conditions on parts of the boundary that cannot be accessed directly, by making use of measurements collected from accessible regions. Such inverse problems are known to be ill-posed in the Hadamard sense, which makes finding stable and dependable solutions particularly difficult. To address these challenges, we propose a bio-inspired method that combines Particle Swarm Opt…

Oh my fucking god, will you stop AI-shittifying my work?!
(At least there is an option to change settings an opt out of AI-enabled features. But stop this, just stop).