Robert Miles AI Safety

Delivers structured video-based educational content on AI safety topics including alignment problems, reward hacking, specification gaming, and existential risk. Uses narrative exposition with visual aids and worked examples to build conceptual understanding progressively, targeting audiences with varying technical backgrounds from curious beginners to researchers.

Presents detailed analysis of potential AI failure modes, misalignment scenarios, and risk trajectories through structured thought experiments and logical reasoning. Uses hypothetical scenarios, game-theoretic analysis, and causal reasoning to explore how AI systems might behave under various conditions, helping viewers develop mental models of failure modes.

Breaks down the overarching AI alignment problem into constituent sub-problems (inner alignment, outer alignment, specification gaming, reward hacking, etc.) and explains how they relate to each other. Uses conceptual mapping and problem taxonomy to help viewers understand the landscape of safety challenges rather than treating alignment as a monolithic problem.

Translates recent AI safety research papers and findings into accessible explanations, synthesizing multiple sources to identify trends and implications. Interprets technical safety work for audiences without deep expertise in the specific subfield, connecting individual papers to broader safety narratives and explaining why particular research directions matter.

Engages with ongoing discussions in the AI safety community by responding to critiques, exploring disagreements, and presenting multiple perspectives on contested safety questions. Uses video format to model how to reason through disagreements charitably and identify cruxes in safety debates, helping viewers develop their own informed positions.