Huberman Lab

Poppy Crum on Huberman Lab: How AI Reshapes Learning

Crum explains cortical plasticity reshapes with every tool you use; AI sensor feedback and active encoding accelerate skill gain without losing cognitive depth.

AHAndrew HubermanhostPCPoppy Crumguest

Sep 29, 2025·2h 35m·Watch on YouTube ↗

📖 CHAPTERS

1. 1
   4:20 – 12:00

   Neuroplasticity, Technology, And Why Your Brain Is Still Very Changeable

   Crum outlines her view that human brains are far more plastic than most people assume and that every interaction with technology reshapes neural maps. She uses the somatosensory homunculus and examples like thumbs and ankles to show how practice, environment, and tools reallocate finite neural resources.

2. 2
   12:00 – 25:00

   Cities, Soundscapes, Perfect Pitch, And Sensory Imprints

   The conversation explores how noise profiles of cities sculpt hearing and sensitivity, and how specific sounds become deeply encoded. Crum then explains absolute pitch, its variability across historical tunings, and how her own pitch perception shapes her experience of environments.

3. 3
   25:00 – 41:40

   Smartphones, Texting, And Lossy Compression In Human Communication

   Huberman and Crum analyze how smartphones and texting have created new composite brain activities, blending thumb motor control, internal and imagined voices, and rapid back-and-forth communication. Crum reframes texting acronyms and shorthand as perceptual compression, preserving or even enriching experience despite ‘loss’ of explicit information.

4. 4
   41:40 – 1:05:00

   Priors, Context, And How Technology Can Make Us Smarter Or Dumber

   Crum describes humans as products of sensory systems, experiential priors, and expectations—illustrated by her daughter yelling “Minions” at a NASA Earth image. She introduces Bayesian brain ideas and argues tech is powerful when it enriches data and insight, but harmful when it replaces core cognitive work.

5. 5
   1:05:00 – 1:18:20

   Gaming, Neuroplasticity, And Building Performance-Enhancing Tools

   Drawing from her Stanford course on neuroplasticity and video gaming, Crum explains how games reshape low-level visual functions and higher-order probabilistic inference. She shows how these principles can be used to build training systems for athletes with real-time sensor feedback that increases neural resolution around key performance metrics.

6. 6
   1:18:20 – 1:31:40

   AI As Coach: DIY Computer Vision For Skills And Health

   Crum describes using AI and no-code tools to build apps that analyze swimming strokes, gait, and other behaviors from smartphone video. She differentiates democratizing elite-level analytics for everyone from replacing coaches, emphasizing that parents and individuals can use these insights to reinforce good coaching and training.

7. 7
   1:31:40 – 1:45:00

   Digital Twins: From Reef Tanks And Flights To Human Bodies

   Crum introduces digital twins as data-based representations of physical systems used to gain ongoing insight and improve control. She gives intuitive examples (air traffic controllers, airline pricing, reef aquariums) and explains that a digital twin of your health or performance is about capturing relevant data layers, not replicating your entire body.

8. 8
   1:45:00 – 2:00:00

   AI, Cognitive Load, And The MIT Study On Writing With LLMs

   They unpack an MIT study comparing students writing with pure brainpower, with search engines, or with LLMs. Crum uses cognitive load theory to explain why LLM-written work produces less long-term learning: germane load (schema-building effort) drops dramatically. She warns that professionals overusing LLMs for core tasks risk a shallower, less generalizable understanding over time.

9. 9
   2:00:00 – 2:11:40

   Sleep States Are Well-Mapped. Waking States Aren’t—Yet.

   Huberman notes that sleep states (REM, slow-wave) are well understood and easily optimized with tech, but waking cognitive states are poorly defined, making optimization harder. Crum argues that richer, integrated data streams—from body, local environment, and broader context—are needed first, after which AI can help discover and support distinct waking state profiles.

10. 10
    2:11:40 – 2:28:20

    Non-Contact Sensing And The Coming Age Of Ambient Intelligence

    Crum describes how CO₂ sensors, microphones, thermal cameras, and eye tracking in devices or glasses can infer emotional states, stress, and engagement without wearables. She gives vivid examples such as CO₂ rises in cinema audiences during suspenseful scenes and pupil-size tracking via smart glasses, arguing that our environments will become ‘aware’ and responsive.

11. 11
    2:28:20 – 2:40:00

    From Step Counts To Meaningful Metrics: Gamification Done Right

    The discussion turns to how simple metrics like sleep scores and step counts altered behavior, and why richer, domain-specific metrics can be even more effective. Crum dislikes the buzzword ‘gamification’ but strongly supports creating engaging feedback loops that train the right circuits rather than just drive superficial behavior change.

12. 12
    2:40:00 – 2:53:20

    Ambient AI For Kids, Clinics, And Everyday Safety

    Crum imagines digital twins and ambient AI applied to infants, patients, and everyday life to detect issues early and personalize care. They discuss how AI can pick up health signatures from coughs, cries, speech, and subtle vocal modulations, raising the potential for far earlier interventions in diseases like Alzheimer’s, diabetes, or heart disease.

13. 13
    2:53:20 – 3:11:40

    Absolute Pitch, Owls, And Discovering Neuroplasticity Firsthand

    Crum recounts how her absolute pitch, and the trouble it caused when playing Baroque music at different tunings, led her to Eric Knudsen’s owl research on map plasticity. Mimicking the owls’ dual maps, she developed a secondary pitch map at A415, a direct personal experience of large-scale cortical remapping that pulled her firmly into neuroscience.

14. 14
    3:11:40 – 3:26:40

    Deterministic Behaviors In Nature: Bats, Moths, Spiders, And Monkeys

    To illustrate how tightly tuned sensory-motor loops can be, Crum describes moths evading bats via deterministic escape behaviors, spiders tuning their webs to bat frequencies, and marmosets whose eye movements reveal which vocalizations they’re hearing. These examples show how specific stimuli drive rapid, hard-wired responses—principles she wants to harness in human tech and training.

15. 15
    3:26:40

    Closing Reflections: Self-Directed Plasticity In The Age Of AI

    They close by returning to the core theme: we can deliberately direct our plasticity using technology, or be passively reshaped by it. Crum emphasizes designing AI and environments that enhance situational intelligence, empathy, and individual flourishing, while Huberman stresses the urgency of being intentional as AI adoption accelerates.