Jeff Hawkins is the founder of Redwood Center for Theoretical Neuroscience in 2002 and Numenta in 2005. In his 2004 book titled On Intelligence, and in his research before and after, he and his team have worked to reverse-engineer the neocortex and propose artificial intelligence architectures, approaches, and ideas that are inspired by the human brain. These ideas include Hierarchical Temporal Memory (HTM) from 2004 and The Thousand Brains Theory of Intelligence from 2017. This conversation is part of the Artificial Intelligence podcast. Audio podcast version is available on INFO:
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EPISODE LINKS:
Thousand brain theory:
On Intelligence:
Numenta:
OUTLINE:
0:00 - Introduction
1:28 - Understanding how the human brain works
5:44 - Parts of the brain
11:05 - How much do we understand?
14:20 - Nature of time in the brain
20:22 - Building a theory of intelligence
34:29 - Thousand brains theory of intelligence
40:06 - Ensembles and sensor fusion
44:00 - Concepts and language
45:38 - Memory palace and method of loci
50:20 - Reference frames
57:33 - Open problems
59:00 - Context
1:01:50 - Introspective thinking about the brain
1:04:19 - Deep learning
1:23:09 - Benchmarks
1:27:07 - Brain learning process
1:34:33 - How far are we from solving intelligence
1:38:37 - Possibility of AI winter
1:39:58 - Consciousness and intelligence
1:49:16 - Mortality
1:53:49 - Will understanding intelligence make us happy?
1:55:19 - Existential threats of AI
2:01:45 - Super-human intelligence and our future
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