Bridging the Data Divide: What AI and Cognitive Science Can Learn From How Children Master Language

Executive Overview For at least 100,000 years, humanity has engaged in spoken communication, yet through the vast majority of that history, only one entity in the known universe could master a human language to absolute fluency: a human child. Today, that exclusivity has vanished. Modern Large Language Models (LLMs) such as Claude, DeepSeek, and OpenAI’s…

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The Data Efficiency Chasm: Why Children Outlearn AI—and What It Means for the Future of Cognition

Executive Overview For the better part of 100,000 years, humanity held an absolute monopoly on complex linguistic fluency. Throughout human history, only one biological entity in the universe was capable of mapping the abstract, infinite structures of language from raw sensory experience: the human child. Today, that monopoly has ended. Following the breakout success of…

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Ghost in the Machine: The Rise, Fall, and Precarious Rebirth of AI Companion Robots for Neurodivergent Children

Executive Overview In the quiet hum of a New York apartment, a 10-year-old neurodivergent boy named Xander chats easily with a 15-inch-tall companion. Resembling a blue, legless astronaut with a cylindrical body and an expressive digital face, this companion is Moxie—an artificial intelligence-powered social robot designed to foster connection, practice social cues, and offer a…

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