Building machines that learn and think with people (Collins et al., 2024)

Welcome to Revise and Resubmit, the podcast where we break down cutting-edge research that’s reshaping our world! Today, we’re diving into an intriguing study titled "Building machines that learn and think with people," published in Nature Human Behaviour on October 22, 2024. This work, authored by a brilliant team including Katherine M. Collins, Ilia Sucholutsky, Umang Bhatt, Kartik Chandra, and several others, pushes the boundaries of artificial intelligence, moving beyond machines that merely assist us to machines that actively think with us. Imagine not just a tool you command but a true partner—one that thinks insightfully, reasons reliably, and complements your own thought processes. That’s the future this research envisions. The team explores how we can design AI systems to work alongside us, helping to overcome our limitations and collaborate on tasks like never before. It’s not just about building smarter machines; it’s about creating systems that understand us deeply and engage in what the authors call "collaborative cognition." Now, here's the big question: How close are we to having machines that genuinely partner with us in thought, and what will it take to build systems that can think with us rather than just for us? A big thanks to all the authors of this fascinating study and to Nature for publishing this forward-thinking research. Don’t forget to subscribe to Revise and Resubmit on Spotify, and check out our YouTube channel Weekend Researcher for more deep dives into groundbreaking research. Reference Collins, K.M., Sucholutsky, I., Bhatt, U. et al. Building machines that learn and think with people. Nat Hum Behav 8, 1851–1863 (2024). https://doi.org/10.1038/s41562-024-01991-9 Youtube channel link https://www.youtube.com/@weekendresearcher