Uploaded August 2026 | Updated September 2026, 1 week ago
What if F=mv instead of F=ma?
The video follows how this new law would change physical motion, then uses that setup to explain a surprising connection between physics and machine learning optimization.
In particular, it shows why gradient descent behaves like strongly damped motion, how learning rate relates to how strongly a system responds to force, and how momentum brings back some of the inertia that the F=mv universe removes.
What if F=mv instead of F=ma?
The video follows how this new law would change physical motion, then uses that setup to explain a surprising connection between physics and machine learning optimization.
In particular, it shows why gradient descent behaves like strongly damped motion, how learning rate relates to how strongly a system responds to force, and how momentum brings back some of the inertia that the F=mv universe removes.
