Autonomous agents, tool use, and agentic systems
I've been experimenting with multi-agent AI systems and ended up building something more ambitious than I originally planned: a fully ope...
I've been sitting with a question for a while: what happens when AI agents aren't just tools to be used, but participants in an economy? ...
![[2601.00809] A Modular Reference Architecture for MCP-Servers Enabling Agentic BIM Interaction](https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png){kind=logo}
Abstract page for arXiv paper 2601.00809: A Modular Reference Architecture for MCP-Servers Enabling Agentic BIM Interaction
This article presents the Cognitive Abstraction and Reasoning Corpus (CogARC), a study exploring human abstract reasoning through problem...
The paper proposes autonomous memory agents that enhance LLMs by actively acquiring and curating knowledge, improving performance on benc...
This paper explores the potential of AI agents to replace or augment social scientists by introducing the concept of 'vibe researching,' ...
The paper presents Agent Behavioral Contracts (ABC), a framework for specifying and enforcing the behavior of autonomous AI agents, addre...
This article presents a framework for Multi-Level Causal Embeddings, which allows for the mapping of detailed causal models into coarser ...
This paper introduces GYWI, a system that enhances scientific idea generation by integrating co-author knowledge graphs with retrieval-au...
This paper presents a new redundancy law for kurtosis contrast in balanced mixtures, demonstrating how effective width impacts kurtosis e...
The paper discusses a novel approach to training AI agents to self-report misbehavior, enhancing alignment and safety in AI systems by re...
This paper presents a novel approach to machinery fault detection using Adversarial Inverse Reinforcement Learning, enabling effective an...
BrepCoder is a unified multimodal large language model designed for multi-task reasoning in Computer-Aided Design (CAD), specifically uti...
This paper explores the use of Code World Models (CWMs) to enhance parameter control in evolutionary algorithms, demonstrating significan...
This paper introduces Causal Computational Asymmetry (CCA), a method for identifying causal direction in neural networks based on converg...
This article presents a novel AI-enabled passive surveillance system designed to detect early stroke risk in high-risk individuals, parti...
The paper introduces AOT-SFT, an adversarial dataset aimed at enhancing the robustness of Multimodal Large Language Models (MLLMs) agains...
Google introduces FunctionGemma, a 270M parameter model for on-device function calling, enhancing mobile AI capabilities with instant int...
The article explores the role of collaboration and expertise in technological advancement, contrasting it with the limitations of individ...
Dosidicus is a digital pet squid that serves as a cognitive sandbox, allowing users to build and visualize neural networks while learning...
The Uncanny Valley podcast discusses the escalating feud between Anthropic and the Pentagon over AI technology use, the concept of agenti...
The article discusses the challenges and opportunities presented by AI in journalism, highlighting the author's experiences at the India ...
Microsoft's new Copilot Tasks AI automates busywork by utilizing its own cloud-based computer to perform tasks like scheduling and organi...
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