Why intent prediction needs more than an LLM
from The Stack Overflow Podcast
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. Congrats to Hooked on winning a Populist badge for their answer to Removing whitespace around a saved image.
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Ryan sits down with Frank Portman, CTO at Yobi, to talk about why next-token prediction is limited when it comes to forecasting human behavior.
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