Skip to content
E49: How Important is Learning? episode artwork

EPISODE · Sep 30, 2019 · 1H 6M

E49: How Important is Learning?

from Unsupervised Thinking

The age-old debate of nature versus nurture is now being played out between artificial intelligence and neuroscience. The dominant approach in AI, machine learning, puts an emphasis on adapting processing to fit the data at hand. Animals, on the other hand, seem to have a lot of built in structure and tendencies, that mean they function well right out of the womb. So are most of our abilities the result of genetically-encoded instructions, honed over generations of evolution? Or are our interactions with the environment key? We discuss the research that has been done on human brain development to try to get at the answers to these questions. We take about the compromise position that says animals may be "born to learn"---that is, innate tendencies help make sure the right training data is encountered and used efficiently during development. We also get into what all this means for AI and whether machine learning researchers should be learning less. Throughout, we ask if humans are special, argue that development can happen without learning, and discuss the special place of the octopus in the animal kingdom.

Episode metadata supplied by the publisher feed · Published Sep 30, 2019

Embed this episode

Ready to play

E49: How Important is Learning?

0:00 1:06:42

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

No similar episodes found.

No similar podcasts found.

Frequently Asked Questions

How long is this episode of Unsupervised Thinking?

This episode is 1 hour and 6 minutes long.

When was this Unsupervised Thinking episode published?

This episode was published on September 30, 2019.

Can I download this Unsupervised Thinking episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.
URL copied to clipboard!