Ryan sits down with Frank Portman, CTO at Yobi, to talk about why next-token prediction, though great for language, isn’t the right inductive bias for forecasting human behavior. They discuss how Yobi builds a “foundation model of behavior” using transformers and graph neural networks instead of chat-style LLMs, and what it takes to run millions of personalization decisions per second while keeping consumer data private.

Episode notes:

Yobi is a behavioral AI company building foundation models that predict future behavior for ad tech, marketing, and more.

Connect with Frank via fportman.com or at yobi.ai.

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