The butterfly effect is the idea that a small change in one place can lead to big differences in a later state. It is difficult to predict the long-term outcome of a system based on its current state due to the many complex factors that can affect it.
Chaos theory makes predicting the weather a complex task but by using statistical measurement, narrow forecast horizons and modeling on grids, we can make a reasonable prediction.
The podcast discusses a helmet that you can wear to control a computer using just your brainwaves, after a decade of development and $100 million in investment. The helmet can also gather various health data such as heart rate, respiration rate, and exercise data.
In CM systems, controllers can learn how to use different parts of the model network to effectively solve new problems by reducing its search space. Even though the prediction is only for the next time step, the system can learn by memorizing important events that happened a million steps ago.
It is possible to improve current AI technology and make more accurate predictions for the future. However, innovation can also lead to unexpected advancements.
The deployment of technological systems that are able to see order and patterns could achieve a scale and control that humans cannot. With the correct incentives, these systems could have a positive impact on society.