2) Fast, wide, and synthetic vs slow, deep, and analytic.
3) Feelings (emotionas) are of high value in synthetic searches, and approach zero value in analytic searches.
4) Modeling AI using emotions as gauges of change in the state of ‘assets’ taught me a great deal.
Source date (UTC): 2018-05-15 13:35:13 UTC
Original post: https://twitter.com/i/web/status/996383501229445120
Reply addressees: @DegenRolf
Replying to: https://twitter.com/i/web/status/996382699932839937
IN REPLY TO:
Unknown author
@DegenRolf 1) I suspect it’s just the physics of the neural economy: breadth neural searches are cheaper and faster with lower returns on recursion than depth searches with higher recursion. In general, minor variations in neural organization should produce large variations in cognition.
Original post: https://x.com/i/web/status/996382699932839937
IN REPLY TO:
@curtdoolittle
@DegenRolf 1) I suspect it’s just the physics of the neural economy: breadth neural searches are cheaper and faster with lower returns on recursion than depth searches with higher recursion. In general, minor variations in neural organization should produce large variations in cognition.
Original post: https://x.com/i/web/status/996382699932839937
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