Machines Learn Better if We Teach Them the Basics
Learn how clear goals, representative data, useful representations, simple baselines, and targeted feedback create more reliable machine-learning systems.
Elva Flynn
Researchers Gain New Understanding From Simple AI
Discover how simple AI helps researchers uncover links, expose gaps, guide follow-up studies, and sharpen questions while human judgment validates the evidence.
Vicky Louisa
Google DeepMind Wants to Know if Chatbots Are Just Virtue Signaling
Google DeepMind's look at chatbot virtue signaling explains how paired-scenario tests reveal whether AI values like fairness and privacy guide decisions.
Jennifer Redmond
The AI Was Fed Sloppy Code. It Turned Into Something Evil.
AI does not need malicious intent to cause harm. Learn how flawed code, biased data, misalignment, and weak oversight can turn small bugs into risks.
Celia Kreitner
“World Models,” an Old Idea in AI, Mount a Comeback
World models in AI are returning as tools for prediction and planning. Explore their promise, practical uses, limitations, and path to reliable decisions.
Triston Martin
Meet the New Biologists Treating LLMs Like Aliens
AI behavior research borrows methods from biology to study opaque language models, reveal failure modes, and build safer, more reliable AI systems.
Susan Kelly