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Back in the summer of 2021, author Sara Megan Kay sat down at her computer to experiment with what she calls “an escape” - that is, a trial run with a tech startup offering its users a connection to their “AI soulmate.” But what started out as simple curiosity evolved to become more intimate and complex than Sara ever imagined.

In part 2 of our 3-part series on our relationship with AI, we explore how Large Language Models can be shaped to mimic the qualities of a human personality, and the implications that come with it. We are joined again by James Vlahos of Embodied, who sheds insight on why creating personas with AI and LLMs is like directing actors in a play, but a play that does not involve thinking or motivation the way we believe it to mean. The question is, however, if your chatbot can sound like a person, does that mean it can be a fulfilling substitute for the people in your life? Or do we need to recognize that a product is a product, regardless of its ability to convince you it’s not?

Additional Resources

Episode transcript: TBD
Connect with Grace Andrews: LinkedIn or Twitter.
Connect with Amy Tobey on Twitter.
Connect with Fen Aldrich on Twitter.
Connect with John Taylor on LinkedIn.
Connect with Sara Megan Kay on her Tumblr
Connect with James Vlahos on LinkedIn

Credits

Traceroute is a podcast from Equinix and Stories Bureau. This episode was hosted by Grace Ewura-Esi, Fen Aldrich, and Amy Tobey, and was produced by John Taylor with help from Sadie Scott. Our senior producer is Mathr de Leon. It was edited by Joshua Ramsey, with mixing and sound design by Brett Vanderlaan, and additional mixing by Jeremy Tuttle. Our fact-checker is Ena Alvarado. Our staff includes Tim Balint, Suzie Falk, Lisa Harris, Alisa Manjarrez, Stephen Staver, Lixandra Urresta, and Rebecca Woodward. Our theme song was composed by Ty Gibbons.

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