Chapter
The Intelligence of Bees and Machines: Insights into Consciousness
46:48 - 57:03 (10:15)
Bees possess the ability to recognize individual humans and communicate through very complicated ways. John Holland, a renowned scientist and professor of psychology and electrical engineering, highlights the extraordinary intelligence of bees and machines, which provide insights into consciousness at different time scales.
Clips
The behavior of bees is more complex than we tend to believe, they are capable of recognizing individual humans and have a complicated way of communication.
46:48 - 51:28 (04:39)
Summary
The behavior of bees is more complex than we tend to believe, they are capable of recognizing individual humans and have a complicated way of communication. When thinking about consciousness, we often do it from a human perspective and believe that we know everything about it, but every culture thinks the same way in their heyday.
ChapterThe Intelligence of Bees and Machines: Insights into Consciousness
EpisodeChristof Koch: Consciousness
PodcastLex Fridman Podcast
In this podcast, the guest speaker discusses the possibility of machines evolving through Darwinian means, citing a novel called "The Victorious" by George Turner.
51:28 - 54:28 (03:00)
Summary
In this podcast, the guest speaker discusses the possibility of machines evolving through Darwinian means, citing a novel called "The Victorious" by George Turner. He also explores how current advancements in the creation of mini organoids may make this theory a reality in the future.
ChapterThe Intelligence of Bees and Machines: Insights into Consciousness
EpisodeChristof Koch: Consciousness
PodcastLex Fridman Podcast
The next big step in AI could come from exploring the interface between cognitive science, neuroscience, AI, computer science, and philosophy of mind, as deep convolutional networks have limits in their understanding abilities.
54:28 - 57:03 (02:35)
Summary
The next big step in AI could come from exploring the interface between cognitive science, neuroscience, AI, computer science, and philosophy of mind, as deep convolutional networks have limits in their understanding abilities. However, many machine learning researchers tend to ignore the way the human brain works.