Stephen Wolfram of Wolfram Research joins Jason for an all-encompassing conversation about AI, from the history of neural nets (7:53) to how modern ai emulates the human brain (19:33). This leads to an in-depth discussion about the pace at which AI is evolving (43:46), The “Post-Knowledge Work” era (58:45), the unintended consequences of AI (1:03:52), and so much more.

(0:00) Nick kicks off the show

(1:24) Under the hood of ChatGPT

(7:53) What is a neural net? 

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(11:33) Determining values and weights in a neural net

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(19:33) Emulating the human brain

(23:26) Defining computational irreducibility

(26:14) Emergent behavior and the rules of language

(31:49) Discovering logic + creating a computational language

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(39:38) Wolfram’s ChatGPT plugin

(43:46) The rapid pace of AI 

(58:45) The “Post-Knowledge Work” era

(1:03:52) The unintended consequences of AI 

(1:11:45) Rewarding innovation 

(1:16:12) The possibility of AGI 

(1:20:07) Creating a general-purpose robotic system

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