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Content provided by Owen Henkel & Libby Hills, Owen Henkel, and Libby Hills. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Owen Henkel & Libby Hills, Owen Henkel, and Libby Hills or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
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Babies & AI: what can AI tell us about how babies learn language?

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Manage episode 463388732 series 3513246
Content provided by Owen Henkel & Libby Hills, Owen Henkel, and Libby Hills. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Owen Henkel & Libby Hills, Owen Henkel, and Libby Hills or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

In this episode, Libby and Owen interview Mike Frank, Professor at Stanford University and leading expert in child development. This episode has a different angle to the others, as it is more about AI as a scientific instrument rather than as a tool for learning. Libby and Owen have a fascinating discussion with Mike about language acquisition and what we can learn about language learning from large language models. Mike explains some of the differences between how large language models develop an understanding of human language versus how babies do this.

There are some big questions touched on here, including how much of the full human experience it’s possible to capture in data. Libby and Owen also make excellent use of Mike’s valuable time by asking for his expert view on why infants find unboxing videos - videos of other children opening gifts - so addictive.

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Credits: Sarah Myles for production support; Josie Hills for graphic design

  continue reading

36 episodes

Artwork
iconShare
 
Manage episode 463388732 series 3513246
Content provided by Owen Henkel & Libby Hills, Owen Henkel, and Libby Hills. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Owen Henkel & Libby Hills, Owen Henkel, and Libby Hills or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

In this episode, Libby and Owen interview Mike Frank, Professor at Stanford University and leading expert in child development. This episode has a different angle to the others, as it is more about AI as a scientific instrument rather than as a tool for learning. Libby and Owen have a fascinating discussion with Mike about language acquisition and what we can learn about language learning from large language models. Mike explains some of the differences between how large language models develop an understanding of human language versus how babies do this.

There are some big questions touched on here, including how much of the full human experience it’s possible to capture in data. Libby and Owen also make excellent use of Mike’s valuable time by asking for his expert view on why infants find unboxing videos - videos of other children opening gifts - so addictive.

Links

Join us on social media:

Credits: Sarah Myles for production support; Josie Hills for graphic design

  continue reading

36 episodes

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