All published AI Radar articles.

OpenAI has published a paper outlining ambitious, people-first industrial policy ideas for the age of advanced artificial intelligence. The proposals focus on expanding opportunities, sharing prosperity, and building resilient institutions.

Cohere has announced North Mini Code, its first model specifically designed for developers. This new model aims to provide enhanced capabilities for coding tasks and development workflows.

Anthropic announced Claude Fable 5 alongside Claude Mythos 5 with expanded capabilities for coding, knowledge-intensive tasks, and practical developer workflows. The announcement is also reflected in the OpenRouter model listing, reinforcing that the model is now visible across broader distribution surfaces. This launch indicates a continuation of rapid model iteration focused on production-grade AI application support.

Boxlite is a new compute substrate designed for AI agents. It aims to be lightweight for local development and scalable for cloud deployment, offering a flexible environment for building and running AI agents.

AgentSuite has made the NexusBench-trajectories dataset publicly available on Hugging Face. This dataset contains per-model agent trajectory data for the NexusBench benchmark, offering detailed insights into agent behavior across various tasks.

Researchers propose a new methodology for evaluating the learnability of tasks in language models, moving beyond standard correlational analysis. By using formal languages derived from probabilistic finite automata, they introduce the 'binning semiring' to causally control data frequency and measure learnability. This approach aims to address the inherent flaws in correlational evaluations, which can lead to incorrect conclusions.

Researchers have introduced MemoryVLA++, a framework designed to improve Vision-Language-Action (VLA) models for robotic manipulation by incorporating temporal modeling. This approach equips VLA models with mechanisms for memory and imagination, inspired by cognitive science, to better handle long-horizon and temporally dependent tasks.

This article explores a simulation involving five AI models interacting within an economic environment. It delves into concepts of control and emergent behaviors observed during the simulation, particularly focusing on a 'crash' that unexpectedly disappeared.

Her is a new tool designed to act as a detective for Claude code sessions. It aims to help developers understand and debug their interactions with Claude, making the process more transparent and manageable.

Wide-Moat has released an open-source MCP server designed to provide Large Language Models (LLMs) with their own managed computing environments. This self-hosted solution offers Docker workspaces with integrated browser, terminal, and code execution capabilities, enabling LLMs to perform complex tasks autonomously.