Sources

videos

Art If The Problem - 600 million years of intelligence

Good primer of reinforcement learning to imagination.

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Intelligence defined

Real intelligence is about understanding the world through a sequence of patterns. We experience the world, store these experiences in our memory, and use them to predict what will happen next. This ability to constantly predict the future based on past experiences is what makes us intelligent.

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Imagination

Scott Phoenix proposes that AGI should also be able to imagine and mentally simulate the world. They point out that most of the connections in the brain go from higher-level areas to the visual cortex, which suggests that the brain is constantly predicting what it will see. This ability to imagine allows us to be surprised by unexpected events and to constantly update our models of the world.

LLMs not the key to AGI

Overall, the video argues that LLMs are a powerful tool, but they are not on the path to achieving AGI. We should not be fooled by their fluency into thinking they are intelligent.

Welch Labs - The moment we stopped understanding AI

The state of the art of ML undoubtedly works and is beneficial. But is it truly understandable?

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bibliography

From CAPTCHAs to Common Sense - George et al.

A Thousand Brains by Jeff Hawkins