The speaker discusses how understanding basic building blocks of biology can help simulate and model larger, more complex systems within the human body, potentially unlocking insights into the mind's unique qualities. Building AI can also aid in this understanding by allowing for comparisons between machine intelligence and human consciousness.
The speaker proposes that information is the most fundamental unit of reality and suggests that understanding physics through information theory may provide solutions to problems in various fields including physics, chemistry, biology, and humanity. They also question if there is something outside the capabilities of a computer present in the universe.
The creation of AI can help us understand the secrets of the human mind, such as consciousness, creativity, and emotions since we can compare them to the machine intelligence. The tools of science allow us to investigate these questions and unlock the truth behind them.
Exploring the basic building blocks of biology and how we can simulate and model bigger and bigger complex systems, including the entirety of human biology, starting from proteins, which are essential to all life and considered as little bio-nano machines.
The protein folding problem involves predicting a protein's function through its 3D structure, but can it be done computationally from a one-dimensional string of amino acids?