Anthropomorphism & Adolescents
What’s the best way to teach AI competency in K–12 settings? We explore Unleashing human potential: An artificial intelligence competency framework for K–12 education (Kong & Hu, 2026) to find out.
What’s the best way to teach AI competency in K–12 settings? We explore Unleashing human potential: An artificial intelligence competency framework for K–12 education (Kong & Hu, 2026) to find out.
Can GenAI continue to grow beyond the finite limits of human data by generating its own? We explore Welcome to the Era of Experience (Silver & Sutton, 2025) to find out.
Can a party of LLMs play D&D? We explore Setting the DC: Tool-Grounded D&D Simulations to Test LLM Agents (Zeng et al., 2025) to find out.
Can a simple Engram lookup transform a model’s search for meaning? We explore Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models (Cheng et al., 2026) to find out.
Can small, local AI models transform the way we play? We explore Web World Models (Feng et al., 2025) to find out.
Have DeepSeek discovered a new technique to unlock training at massive scale? We explore mHC: Manifold-Constrained Hyper-Connections (Xie et al., 2025) to find out.
Should AI agents be optimised for reasoning, or is reliable tool use a more viable path? We explore Adaptation of Agentic AI (Jiang et al., 2025) to find out.
Welcome to AI Paper Trails! In this first episode we introduce ourselves (hi!), and discuss our very first paper: Agent READMEs: An Empirical Study of Context Files for Agentic Coding (Chatlatanagulchai et al., 2025).