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One of the flashiest ways Good Inside is serving parents at the moment is with its AI chatbot GiGi. Kennedy says she’s “pragmatic;” she knows parents are asking ChatGPT and Claude their middle-of-the-night and mid-meltdown questions. She envisions GiGi as a trusted space for parents; one that fosters more of a “two-way relationship” that connects the dots for users. “A parent might ask about three very different things in three different sessions, but on our end, we see the thread throughout, and can serve up what they might be missing and what might be a helpful next step,” Kennedy says. That kind of predictive support can help get parents out of “fire-extinguishing mode,” Kennedy says. “I always tell parents, better than knowing how to extinguish a fire is actually just having fewer fires.”
The model must be autoregressive. It receives a token sequence as input and predicts the next token. Output digits are generated one at a time, with each new token fed back as input for predicting the next. The carry propagation must emerge from this autoregressive process — not from explicit state variables passed between steps in Python.