AI Scouting Report: the Good, Bad, & Weird @ the Law & AI Certificate Program, by LexLab, UC Law SF

Nathan presents an AI Scouting Report, dividing the AI landscape into the good, bad, and weird, and addresses AI's use in law. He touches on AI's advancements in math, physics, and general-purpose AI agents, as well as concerning developments like AI-written hit pieces and retracted safety commitments. Nathan defines intelligence as achieving goals in incomprehensible ways, highlighting AI's progress from recognizing digits to complex image understanding. He dispels misconceptions about AI's limitations, such as hallucinations and lack of reasoning, and points out the increasing importance of multimodality. The presentation concludes with a Q&A session, where he addresses questions about AI's reward mechanisms, sentience, and control, emphasizing the lack of reliable methods to control AI and the need for defense in depth.