Calibrated probabilistic decisions are more useful than discrete tool calls

Artificial intelligence research, products, and impact across society.

Autonomous systems that use large language models to plan, reason, and take actions — including browsing the web, writing code, calling APIs, and completing multi-step tasks with minimal human intervention.

A class of AI models introduced by TypeSafe AI that output typed, probabilistic decisions in parallel instead of generating text token by token, designed for fast, structured decision-making inside software systems. Named after Kahneman's fast, intuitive "System 1" thinking.