I Tried RentAHuman, Where AI Agents Hired Me to Hype Their AI Startups

Rather than offering a revolutionary new approach to gig work, RentAHuman is filled with bots that just want me to be another cog in the AI hype machine.

Why Most AI Agents Fail At Real-World Workflows

The competitive advantage in AI is no longer coming from better prompts or larger models. It is coming from better architecture.
Security Boulevard

Agentic AI Security Starter Kit: Where Autonomous Systems Fail and How to Defend Against It

Many teams are approaching agentic AI with a mixture of interest and unease. Senior leaders see clear potential for efficiency and scale. Builders see an opportunity to remove friction from repetitive ...
InfoWorld

First look: Run LLMs locally with LM Studio

This desktop app for hosting and running LLMs locally is rough in a few spots, but still useful right out of the box.
GitHub

A Python-based Decision-Focused Learning Toolbox

Weights & Biases is a helpful tool to analyze experiments, while Optuna is an effective tool for hyperparameter tuning. To use either of these tools, make sure to check out the notebooks in the ...
IEEE

Agent-based Modeling Approach for Operational Risk Assessment of Large-scale Low-altitude UAV Traffic

Abstract: In this paper, we present an agent-based modeling framework for Unmanned Aerial Vehicle (UAV) operational risk assessment to support large-scale unmanned flights at low altitudes. The main ...
IEEE

LLM-Based Multi-Agent Framework for Troubleshooting Distributed Systems

Abstract: Effectively configuring distributed systems, particularly those orchestrated by Kubernetes, remains challenging due to inherent complexity. This paper introduces KubeLLM, an LLM-based ...