Huberman breaks down the neuroscience of motor skill learning: it's about repetitions and errors, not 10,000 hours.

Andrew Huberman — Professor of neurobiology and ophthalmology at Stanford School of Medicine and host of the Huberman Lab Podcast, which translates neuroscience research into practical tools.
In this solo episode, Andrew Huberman explains the science of learning motor skills faster, focusing on physical movements like a golf swing, tennis serve, dance, or running. He distinguishes open-loop from closed-loop skills, explains the neural pathways behind movement (upper/lower motor neurons and central pattern generators), and argues that maximizing repetitions and making errors within a session is what opens the window for neuroplasticity. He details a learning protocol: pack in high-density reps, let errors cue attention, then sit idle with eyes closed afterward so the brain can replay the sequence backward. He also covers metronome training, a cerebellar eye-movement trick to increase range of motion, the limits of visualization, and the supplement alpha GPC.