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Watch a 45-minute lecture from Los Alamos National Lab researcher Luis Pedro Garcia-Pintos exploring fundamental limits on how quickly natural processes can occur. Delve into mathematical bounds that reveal trade-offs between the maximum rate of change of stochastic observables and their standard deviations, demonstrating how higher variability enables faster evolution. Examine practical applications of these speed limits across stochastic thermodynamics, evolutionary biology, and quantum computing domains. Gain insights into the inherent relationships between process speed and system resiliency in dynamical systems through information-geometric analysis techniques.