The Assimilation of Perception and Prediction

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In machine learning, the first step is to build a very accurate prediction mechanism. Then you have to reinterpret the data until you get to a point where your model converges. And this process of making the sensory data fit into your model structure is what Piaget calls the assimilation. So now we have a second agent next to the perceptual agent. We have a cybernetic system that is modeling what the system needs and interacts with the perceptual system to maximize the expected reward. It's not that complicated; it's just a lot of code.

Joscha Bach is a cognitive scientist, AI researcher, and philosopher. Please support this podcast by checking out our sponsors:
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OUTLINE:
Here’s the timestamps for the episode. On some podcast players you should be able to click the timestamp to jump to that time.
(00:00) – Introduction
(07:15) – Life is hard
(09:38) – Consciousness
(16:24) – What is life?
(26:33) – Free will
(40:38) – Simulation
(42:49) – Base layer of reality
(58:24) – Boston Dynamics
(1:06:43) – Engineering consciousness
(1:17:12) – Suffering
(1:26:06) – Postmodernism
(1:30:25) – Psychedelics
(1:43:40) – GPT-3
(1:52:22) – GPT-4
(1:58:47) – OpenAI Codex
(2:01:02) – Humans vs AI: Who is more dangerous?
(2:17:47) – Hitler
(2:22:44) – Autonomous weapon systems
(2:30:11) – Mark Zuckerberg
(2:35:47) – Love
(2:50:00) – Michael Malice and anarchism
(3:06:57) – Love
(3:11:05) – Advice for young people
(3:15:42) – Meaning of life