Symbolic Composition Is a New Approach to Artificial Intelligence

Packy and Anton breakdown one of the early, foundational artifical intelligence papers, "A logical calculus of the ideas immanent in nervous activity," which was first published in 1943. The researchers, Warren S. McCulloch and Walter Pitts, were trying to understand how the brain could produce such complex patterns by using basic, connected cells. Their work was foundational in understanding neurons, and l introduced the concept of the neural network which has since become a key concept in artificial intelligence. This was the oldest paper that Anton and Packy have discussed, and its naturally age led to a lengthy conversation on the history of artificial intelligence. That history -- like the history of many technological fields -- is spotted with long winters, golden ages, broken timeline promises, and sudden developments. Today, it seems, we may be in the middle of a golden age for artificial intelligence.   

LINKS:

Youtube Link: https://youtu.be/MpBdVJEx2Aw

A logical calculus of the ideas immanent in nervous activity: https://www.cs.cmu.edu/~./epxing/Class/10715/reading/McCulloch.and.Pitts.pdf

History of the First AI Winter: https://towardsdatascience.com/history-of-the-first-ai-winter-6f8c2186f80b

AI Winter: https://en.wikipedia.org/wiki/AI_winter#The_abandonment_of_connectionism_in_1969

Bitter Lesson: http://www.incompleteideas.net/IncIdeas/BitterLesson.html

Chroma: https://www.trychroma.com/

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