The Same Golf Swing, Revisited: A Pedagogical Necessity for Those Who Skipped the First Lecture
Google Cloud's AI system applies deep learning algorithms with proprietary 2D and 3D biomechanical models to analyze over 30 critical points on Bryson DeChambeau's body, club, and ball during his swing. The system tracks shot phases including top of swing, impact, follow-through, and additional phases not fully specified in the source material. Source: https://cloud.google.com/transform/the-ai-crusher-bryson-dechambeau-on-his-experiments-with-ai-and-the-future-of-sports-performance
This repetition, however tedious, reinforces a core methodological point: the granularity of your measurement system determines the resolution of your optimization. If you cannot define and track the transition between phases, you cannot intervene precisely. Apply this to any skill acquisition by explicitly naming and timing your own sub-processes.
Bryson DeChambeau, again, with Google Cloud. The source material overlaps substantially with the first story; no additional performance outcomes or technical specifications are introduced beyond the phase tracking detail.
Step 1: Select any skill you wish to improve (typing, cooking knife skills, musical instrument fingering) and use your phone to record a 60-second session. Step 2: Play back the video at half speed and manually timestamp four distinct phases using a free note-taking app; label each phase with a specific, observable criterion (e.g., 'wrists cocked,' 'contact made,' 'follow-through complete'). Step 3: Repeat the recording one week later, attempt to identify the same phases, and compare the timestamps to see if your phase durations have shifted; even without AI, you now have quantified self-feedback.