In this episode, we explore a new research breakthrough that reveals how large language models signal risk through their very first instinct. Instead of relying on heavy safety filters or multiple AI checks, this approach listens to how an AI leans toward cooperation or refusal before responding at all.

By examining subtle probability shifts in opening phrases like “Sure” versus “Sorry,” this invention shows how AI systems can detect harmful intent almost instantly, with minimal cost and latency. The result is a faster, lighter, and more human-aligned way to build safe AI for real-time applications.

This conversation connects cutting-edge AI research with a deeper question:
Is the future of intelligence about making machines smarter or about understanding hesitation, instinct, and pause?

Perfect for builders, founders, and anyone curious about how AI safety is evolving.