Tootfinder

Plane has been spotted near Trenton NJ
“First in Playbook: An anonymous group of self-described democracy advocates will fly planes with banners that say “mess with Texas” tomorrow over blue state capital cities: Albany, Annapolis, Augusta, Trenton, Springfield and Sacramento, according to a person briefed on the matter.”

Capturing Finite Target Dynamics: Phase-Delayed Analytic Modeling of Multi-Layer Penetration Events
Trenton Kirchdoerfer
https://arxiv.org/abs/2508.16583 https://

Capturing Finite Target Dynamics: Phase-Delayed Analytic Modeling of Multi-Layer Penetration Events
The Walker-Anderson half-space penetration model has been successfully used for the rapid, efficient calculation of penetration of walls by rigid and eroding rods. These models align well with detailed simulations for thick targets; however, existing extensions for finite targets struggle to accurately capture nose-tail velocity profiles in thinner targets. For stack-ups of thin-walled targets, this deficiency results in mischaracterized rod-erosion relative to hydrocode or experimental predict…

Simulating Teams with LLM Agents: Interactive 2D Environments for Studying Human-AI Dynamics
Mohammed Almutairi, Charles Chiang, Haoze Guo, Matthew Belcher, Nandini Banerjee, Maria Milkowski, Svitlana Volkova, Daniel Nguyen, Tim Weninger, Michael Yankoski, Trenton W. Ford, Diego Gomez-Zara
https://arxiv.org/abs/2510.08242

Simulating Teams with LLM Agents: Interactive 2D Environments for Studying Human-AI Dynamics
Enabling users to create their own simulations offers a powerful way to study team dynamics and performance. We introduce VirTLab, a system that allows researchers and practitioners to design interactive, customizable simulations of team dynamics with LLM-based agents situated in 2D spatial environments. Unlike prior frameworks that restrict scenarios to predefined or static tasks, our approach enables users to build scenarios, assign roles, and observe how agents coordinate, move, and adapt ov…

VirtLab: An AI-Powered System for Flexible, Customizable, and Large-scale Team Simulations
Mohammed Almutairi, Charles Chiang, Haoze Guo, Matthew Belcher, Nandini Banerjee, Maria Milkowski, Svitlana Volkova, Daniel Nguyen, Tim Weninger, Michael Yankoski, Trenton W. Ford, Diego Gomez-Zara
https://arxiv.org/abs/2508.04634

VirtLab: An AI-Powered System for Flexible, Customizable, and Large-scale Team Simulations
Simulating how team members collaborate within complex environments using Agentic AI is a promising approach to explore hypotheses grounded in social science theories and study team behaviors. We introduce VirtLab, a user-friendly, customizable, multi-agent, and scalable team simulation system that enables testing teams with LLM-based agents in spatial and temporal settings. This system addresses the current frameworks' design and technical limitations that do not consider flexible simulation s…