The article discusses various open problems in machine learning inspired by a graduate class. It critiques current methodologies, emphasizing the need for a design-based perspective, better evaluation methods, and innovations in large language models. The author encourages researchers to explore these under-addressed areas.

Bloom is an open source framework that automates the evaluation of AI model behaviors, allowing researchers to specify a desired behavior and generate relevant scenarios for assessment. The tool produces evaluations quickly and offers flexibility in measuring different behavioral traits, complementing existing tools like Petri.