AI Reliability: It's Not Clicks, It's Decoding User Minds
Amazon AGI Lab's Danielle Perszyk on why reliable AI agents must model dynamic user intent, not just execute atomic tasks. A core shift for builders.
Why AI Agents Don't Actually Understand You — Danielle Perszyk, Amazon AGI Lab
With swyx, Danielle Perszyk · Sunday, July 12, 2026
Danielle Perszyk from Amazon AGI Lab discusses her vision for AI, emphasizing human collective intelligence and building agents that genuinely understand user intent. The conversation delves into the inadequacy of current AI systems, the necessity of real-time perception and social world models, and a reframing of AI alignment as optimizing for shared mental representations. Perszyk also explores the potential of AI to enhance human agency in education and counter homogenized thought.
Perszyk: AI Alignment Is Aligning Representations, Not Tasks
Amazon AGI's Danielle Perszyk argues current AI alignment fails by optimizing tasks. Build agents that truly infer human intent, aligning representations.
AI Narrows Human Thought: Fight Regression to the Mean
Amazon AGI Lab's Danielle Perszyk reveals how AI subtly reduces human agency by homogenizing thought. Learn to counter 'regression to the mean'.
Amazon AGI Lab: Ditching Chatbots for Real-Time AI
Amazon AGI Lab's Danielle Perszyk says AI is stuck in a chatbot trap. The real future: perceptive agents that mind-meld with humans in real-time.