Real Simple

A practical guide circulating among developers and startup circles outlines how to turn a simple prompt into a supervised AI agent workflow. The checklist has four steps: pick the right task for automation, write a clear specification, test the agent on real examples, and keep humans in charge of the risky steps. It is being shared as a quick reference for teams adopting AI agents in software development.

Researchers at the University of Florida report that simple visual patterns, such as black-and-white stripes, can trick AI-powered autonomous vehicles and robots into misjudging distances to obstacles, potentially triggering unexpected and dangerous behavior. The findings highlight vulnerabilities in machine vision systems used in self-driving cars and robotics, raising questions about their safety and reliability in real-world environments.

A new demonstration from FlowingData, citing work by Aatish Bhatia, uses a simple puzzle to illustrate the 'jagged' nature of large language models' intelligence. The puzzle shows how these models can excel at complex tasks while failing at others, because their performance depends heavily on their training data rather than genuine reasoning ability.