Tootfinder

Bob Iger says upcoming changes to Disney include "game-like features" and "mostly short-form" user-generated content made with generative AI (Tony Maglio/The Hollywood Reporter)
https://www.hollywoodreporter.com/business

Disney+ to Allow User-Generated Content Via AI
Disney CEO Bob Iger hinted at "productive conversations" with unnamed AI companies that would protect IP but add new features to the studio's flagship streaming service.

Reminder: under GPL/AGPL, “Corresponding Source” includes everything needed to build and modify the work. That means AI prompts, generated scripts, and config files as well. Don’t leave them out.
"The "Corresponding Source" for a work in object code form means all the source code needed to generate, install, and (for an executable work) run the object code and to modify the work, including scripts to control those activities."

RA-Gen: A Controllable Code Generation Framework Using ReAct for Multi-Agent Task Execution
Aofan Liu, Haoxuan Li, Bin Wang, Ao Yang, Hui Li
https://arxiv.org/abs/2510.08665 htt…

RA-Gen: A Controllable Code Generation Framework Using ReAct for Multi-Agent Task Execution
Code generation models based on large language models (LLMs) have gained wide adoption, but challenges remain in ensuring safety, accuracy, and controllability, especially for complex tasks. Existing methods often lack dynamic integration of external tools, transparent reasoning, and user control over safety. To address these issues, we propose a controllable code generation framework utilizing the ReAct paradigm for multi-agent task execution. This framework is a multi-agent system designed to…

Generating Sizing Fields for Mesh Generation via GCN-based Simplification of Adaptive Background Grids
Xunyang Zhu, Hongfei Ye, Yifei Wang, Taoran Liu, Jianjun Chen
https://arxiv.org/abs/2510.08645

Generating Sizing Fields for Mesh Generation via GCN-based Simplification of Adaptive Background Grids
The sizing field defined on a triangular background grid is pivotal for controlling the quality and efficiency of unstructured mesh generation. However, creating an optimal background grid that is geometrically conforming, computationally lightweight, and free from artifacts like banding is a significant challenge. This paper introduces a novel, adaptive background grid simplification (ABGS) framework based on a Graph Convolutional Network (GCN). We reformulate the grid simplification task as a…

Researchers from Nvidia, Microsoft, and others use AI on 1M species to generate potential new gene editing and drug therapies, including AI-designed enzymes (Financial Times)
https://www.ft.com/content/29ec4303-cb70-48b5-a28c-320a7062cdd3

Barriers that Programming Instructors Face While Performing Emergency Pedagogical Design to Shape Student-AI Interactions with Generative AI Tools
Sam Lau (University of California San Diego), Kianoosh Boroojeni (Florida International University), Harry Keeling (Howard University), Jenn Marroquin (Google)
https://arxiv.org/abs/2510.09492…

Barriers that Programming Instructors Face While Performing Emergency Pedagogical Design to Shape Student-AI Interactions with Generative AI Tools
Generative AI (GenAI) tools are increasingly pervasive, pushing instructors to redesign how students use GenAI tools in coursework. We conceptualize this work as emergency pedagogical design: reactive, indirect efforts by instructors to shape student-AI interactions without control over commercial interfaces. To understand practices of lead users conducting emergency pedagogical design, we conducted interviews (n=13) and a survey (n=169) of computing instructors. These instructors repeatedly en…

Evolutionary Computation as Natural Generative AI
Yaxin Shi, Abhishek Gupta, Ying Wu, Melvin Wong, Ivor Tsang, Thiago Rios, Stefan Menzel, Bernhard Sendhoff, Yaqing Hou, Yew-Soon Ong
https://arxiv.org/abs/2510.08590

Evolutionary Computation as Natural Generative AI
Generative AI (GenAI) has achieved remarkable success across a range of domains, but its capabilities remain constrained to statistical models of finite training sets and learning based on local gradient signals. This often results in artifacts that are more derivative than genuinely generative. In contrast, Evolutionary Computation (EC) offers a search-driven pathway to greater diversity and creativity, expanding generative capabilities by exploring uncharted solution spaces beyond the limits …

Mirror Flow Matching with Heavy-Tailed Priors for Generative Modeling on Convex Domains
Yunrui Guan, Krishnakumar Balasubramanian, Shiqian Ma
https://arxiv.org/abs/2510.08929 ht…

Mirror Flow Matching with Heavy-Tailed Priors for Generative Modeling on Convex Domains
We study generative modeling on convex domains using flow matching and mirror maps, and identify two fundamental challenges. First, standard log-barrier mirror maps induce heavy-tailed dual distributions, leading to ill-posed dynamics. Second, coupling with Gaussian priors performs poorly when matching heavy-tailed targets. To address these issues, we propose Mirror Flow Matching based on a \emph{regularized mirror map} that controls dual tail behavior and guarantees finite moments, together wi…

Morgan Stanley survey of audio habits in the US: 50% to 60% of listeners aged 18 to 44 reported listening to AI-generated music for 2.5 to 3 hours per week (Luke Kawa/Sherwood News)
https://sherwood.news/markets/morgan-stanley-most-…

Morgan Stanley: Most Gen Zers and millennials in the US listen to about three hours of AI music a week
That’s enough AI music to last the run time of “Avatar.”

Google has removed dozens of AI videos from YouTube that depicted Disney characters, after Disney sent a cease-and-desist letter flagging the links (Gene Maddaus/Variety)
https://variety.com/2025/film/news/google-removes-ai-videos-disney…

Google Removes AI Videos of Disney Characters After Cease and Desist
Google has taken down dozens of AI-generated videos of Disney-owned characters after the studio sent a cease and desist letter on Wednesday.