Chapter
The Complexity of Thoughts
51:00 - 1:00:30 (09:29)
Our thoughts emerge from the connections between our neurons, which create a graded and continuous process of abstraction. We should not treat them as monolithic entities, as they are influenced by external forces that allow them to change over time.
Clips
The ability of artificial intelligence to differentiate between a cat and a dog lies in the connections between the layers of neurons in its system, with the deeper layers becoming more abstract and complex, culminating in the AI being able to classify between the two animals through formal logic.
51:00 - 54:35 (03:35)
Summary
The ability of artificial intelligence to differentiate between a cat and a dog lies in the connections between the layers of neurons in its system, with the deeper layers becoming more abstract and complex, culminating in the AI being able to classify between the two animals through formal logic.
ChapterThe Complexity of Thoughts
Episode#222 – Jay McClelland: Neural Networks and the Emergence of Cognition
PodcastLex Fridman Podcast
The emergence of thoughts from the workings of the lower-level elements should not be treated as completely monolithic entities, but rather viewed in the context of all the stuff that allows them to change.
54:35 - 1:00:30 (05:54)
Summary
The emergence of thoughts from the workings of the lower-level elements should not be treated as completely monolithic entities, but rather viewed in the context of all the stuff that allows them to change. Cellular automata, like the game of life, illustrate how simple things can give rise to complex emergent properties that start resembling organisms.