This episode explores whether the human neural network is fundamentally different from artificial intelligence neural networks, and whether AI can ever truly simulate human behavior or reach human-like intelligence. The conversation also delves into the philosophical question of the meaning of life and the confusion of intelligence with a will to power.
The meaning of life is a large subset of human striving, and understanding what makes the universe tick is one of the most important aspects. This podcast touches on artificial and natural intelligence and how they contribute to our understanding of the world around us.
In this episode, the guest discusses whether the differences between human neural networks and artificial intelligence neural networks mean we can not reach a lifelike robot indistinguishable from a human.
Some natural systems cannot be duplicated synthetically in a cost-effective manner. For example, while synthetics could replicate the properties of wood or cotton, it is not worth investing more efforts and resources when natural systems are still readily available and preferred.
The negative traits that come along with human intelligence, such as dominance and exploitation, are not inherent to intelligence itself but are products of natural selection. By studying humans, we can learn how to create artificial intelligence without replicating these negative traits.