This podcast episode delves into the idea of leveraging biology to create a more sophisticated approach to medicine and drugs. By focusing on the goal states and intelligence of our subsystems, we can shift away from the traditional model of micromanaging chemistry and towards a more advanced methodology.
Exploring the possibility of improving computer engineering methods through the study of biology, as certain biological processes have the ability to store memories and hold volatile RAM in the electrical state which has yet to be implemented in computer science.
The future of programming for humans may involve concepts such as active inference, minimizing surprise, and optimizing efficiency, essentially creating a feedback loop within the system.
This episode discusses how focusing on goal states and subsystem intelligence can change the way drugs and medicine are used, rather than relying on micromanagement of the chemistry upwards. It highlights the need to understand the better locus of control and consider programming at a higher level rather than the hardware level.