Bridging the data gap between children and large language models - ScienceDirect

Training foundation models in machines consumes enormous quantities of energy [57] and requires enormous quantities of data [97]. Human infants, in contrast, are much more efficient, needing tens of thousands of times less data and energy [2] (Figure 3E,F). Furthermore, foundation models sometimes fail catastrophically on tasks humans find easy. Cookies are used by this site. Cookie settings All content on this site: Copyright © 2025 Elsevier B.V., its licensors, and contributors. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For all open access content, the relevant licensing terms apply. These cookies are necessary for the website to function and cannot be switched off in our systems. They are usually only set in response to actions made by you which amount to a request for services, such as setting your privacy preferences, logging in or filling in forms. You can set your browser to block or alert you about these cookies, b

Training foundation models in machines consumes enormous quantities of energy [57] and requires enormous quantities of data [97]. Human infants, in contrast, are much more efficient, needing tens of thousands of times less data and energy [2] (Figure 3E,F). Furthermore, foundation models sometimes fail catastrophically on tasks humans find easy. Cookies are used by this site. Cookie settings All content on this site: Copyright © 2025 Elsevier B.V., its licensors, and contributors. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For all