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To Interact With the Real World, AI Will Gain Physical Intelligence
By grappling with the messy and unpredictable side of existence, machine learning can have impact beyond the digital.
In one experiment, for instance, we trained two drones—one operated by a standard AI model and another by a liquid network—to locate objects in a forest during the summer, using data captured by human pilots. A team at Carnegie Mellon University has also recently demonstrated that a robot with just one camera and imprecise actuation can perform dynamic and complex parkour movements—including jumping onto obstacles twice its height and across gaps twice its length—using a single neural network trained via reinforcement learning. If 2023 was the year of text-to-image and 2024 was text-to-video, then 2025 will mark the era of physical intelligence, with a new generation of devices—not only robots, but also anything from power grids to smart homes—that can interpret what we’re telling them and execute tasks in the real world.
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