A strategic approach to product development in rapidly accelerating fields. Instead of building for current model capabilities, teams should analyze exponential scaling laws to predict future capabilities (6-12 months out) and build products that rely on those future states, even if current success rates are low.

"Don't build for today, build for six months from now... things that aren't quite working that are working 20% of the time, will start working 100% of the time."

A methodology for aligning AI behavior using RLAIF (Reinforcement Learning from AI Feedback) rather than human feedback. It involves baking a 'constitution' of values (e.g., UN Declaration of Human Rights) into the model, allowing it to critique and rewrite its own responses to ensure safety and character consistency.

"If the answer is no, actually I wasn't in compliance with the principle, then we ask the model itself to critique itself and rewrite its own response."

A pragmatic definition for identifying Transformative AI (or AGI). Instead of philosophical sentience, it tests whether an AI agent can competitively replace a human in a specific economic role over a sustained period.

"If you contract an agent for a month... and it turns out to be a machine rather than a person, then it's passed the Economic Turing Test for that role."