Zappable
Zappable
Podcast Description
On machine learning, the mind, meditation, motivation, morality, and more
Podcast Insights
Content Themes
Explores themes around computational neuroscience, connectomics, and the philosophy of consciousness with episodes that dive deep into brain efficiency and language acquisition. An example episode features discussions on the role of innate biological structures compared to AI methods, as well as the complexities surrounding the hard problem of consciousness.
On machine learning, the mind, meditation, motivation, morality, and more
In this inaugural episode, Ariel sits down with Toviah Moldwin, PhD, to explore computational neuroscience. They discuss the similarities and differences between how biological brains and current AI models function and learn. They tackle the question of brain efficiency, particularly in language acquisition, debating the roles of innate biological structures versus learning from data, comparing it to the vast data needs of AI models. Next, Toviah provides an introduction to the field of connectomics – the detailed mapping of neural connections, and also discusses the complexity of single neurons. Finally, they discuss the hard problem of consciousness: can science explain it and can AI attain it?
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