Tootfinder

MonochromeEvolutionaryBioDigitalCellularAutomataSimulation
Unlike the recently shared[1] multi-cellular struggles, these here are some selected research stills (handpicked from tens of thousands) of only single CA configurations (aka mono-cultures) which I found interesting/promising and which were then used as raw ingredients/candidates for my infinitely evolving C-SCAPE project[2]...
Each of these cellular automata is 1.5D, meaning each pixel row is one generation, but I allowe…

Study Finds 40% of fMRI Brain Scans Misread Neural Activity
https://ground.news/article/study-finds-40-of-fmri-brain-scans-misread-neural-activity_7aa5a7

Metropolitana VI - Asymmetry ✅
城 VI - 非对称 ✅
📷 Pentax MX
🎞️ Ilford Pan 100
#filmphotography #Photography #blackandwhite

And skills are remarkably simple: just a markdown file with instructions, some (Python) scripts, and optional resources.
Can’t wait for all LLM providers to adapt their new pattern!
https://www.anthropic.com/news/skills (2/2)

Efficient Mining of Low-Utility Sequential Patterns
Jian Zhu, Zhidong Lin, Wensheng Gan, Ruichu Cai, Zhifeng Hao, Philip S. Yu
https://arxiv.org/abs/2510.10243 https://

Efficient Mining of Low-Utility Sequential Patterns
Discovering valuable insights from rich data is a crucial task for exploratory data analysis. Sequential pattern mining (SPM) has found widespread applications across various domains. In recent years, low-utility sequential pattern mining (LUSPM) has shown strong potential in applications such as intrusion detection and genomic sequence analysis. However, existing research in utility-based SPM focuses on high-utility sequential patterns, and the definitions and strategies used in high-utility S…

Got my config manager POC’d up at all levels now.
Single resource on the CLI
Idempotent shell scripts
Manifests
Globally distributed runner with patterns like rolling restarting deploys etc.
All with hierarchical data delivered via key-value store
The distributed model is using tech that. Is currently running on 7 figure node deployments.
Exciting stuff. Will make a video.
Next to make it a bit more robust etc

Controllable Collision Scenario Generation via Collision Pattern Prediction
Pin-Lun Chen, Chi-Hsi Kung, Che-Han Chang, Wei-Chen Chiu, Yi-Ting Chen
https://arxiv.org/abs/2510.12206

Controllable Collision Scenario Generation via Collision Pattern Prediction
Evaluating the safety of autonomous vehicles (AVs) requires diverse, safety-critical scenarios, with collisions being especially important yet rare and unsafe to collect in the real world. Therefore, the community has been focusing on generating safety-critical scenarios in simulation. However, controlling attributes such as collision type and time-to-accident (TTA) remains challenging. We introduce a new task called controllable collision scenario generation, where the goal is to produce traje…

Extending ResourceLink: Patterns for Large Dataset Processing in MCP Applications
Scott Frees
https://arxiv.org/abs/2510.05968 https://arxiv.org/pdf/2510.0…

Extending ResourceLink: Patterns for Large Dataset Processing in MCP Applications
Large language models translate natural language into database queries, yet context window limitations prevent direct deployment in reporting systems where complete datasets exhaust available tokens. The Model Context Protocol specification defines ResourceLink for referencing external resources, but practical patterns for implementing scalable reporting architectures remain undocumented. This paper presents patterns for building LLM-powered reporting systems that decouple query generation from…

Task-Specific Dual-Model Framework for Comprehensive Traffic Safety Video Description and Analysis
Blessing Agyei Kyem, Neema Jakisa Owor, Andrews Danyo, Joshua Kofi Asamoah, Eugene Denteh, Tanner Muturi, Anthony Dontoh, Yaw Adu-Gyamfi, Armstrong Aboah
https://arxiv.org/abs/2510.11907

Task-Specific Dual-Model Framework for Comprehensive Traffic Safety Video Description and Analysis
Traffic safety analysis requires complex video understanding to capture fine-grained behavioral patterns and generate comprehensive descriptions for accident prevention. In this work, we present a unique dual-model framework that strategically utilizes the complementary strengths of VideoLLaMA and Qwen2.5-VL through task-specific optimization to address this issue. The core insight behind our approach is that separating training for captioning and visual question answering (VQA) tasks minimizes…

Achieving Meaningful Collaboration: Worker-centered Design of a Physical Human-Robot Collaborative Blending Task
Nicky Mol, Luka Peternel, Alessandro Ianniello, Denis Zatyagov, Auke Nachenius, Stephan Balvert, J. Micah Prendergast, Sara Muscolo, Olger Siebinga, Eva Verhoef, Deborah Forster, David A. Abbink
https://arxiv.org/abs/2510.12340

Achieving Meaningful Collaboration: Worker-centered Design of a Physical Human-Robot Collaborative Blending Task
The use of robots in industrial settings continues to grow, driven by the need to address complex societal challenges such as labor shortages, aging populations, and ever-increasing production demands. In this abstract, we advocate for (and demonstrate) a transdisciplinary approach when considering robotics in the workplace. Transdisciplinarity emphasizes the integration of academic research with pragmatic expertise and embodied experiential knowledge, that prioritize values such as worker well…