Beyond the Hype: What AI Actually Can (and Can't) Do • Jodie Burchell & Michelle Frost

This interview was recorded for GOTO Unscripted.
https://gotopia.tech

Jodie Burchell - Senior Data Science Developer Advocate at JetBrains
Michelle Frost - AI Advocate at JetBrains

Check out more here:
https://gotopia.tech/articles/431

RESOURCES
Jodie
https://bsky.app/profile/t-redactyl.bsky.social
https://fosstodon.org/@t_redactyl
https://www.linkedin.com/in/jodieburchell
https://github.com/t-redactyl
https://t-redactyl.io

Michelle
https://bsky.app/profile/aiwithmichelle.com
https://www.linkedin.com/in/michelle-frost-dev
https://aiwithmichelle.com

Links
https://www.youtube.com/@Asianometry
https://arxiv.org/abs/1911.01547
https://softwareengineeringproductivity.stanford.edu

DESCRIPTION
Michelle Frost and Jodie Burchell - both developer advocates at JetBrains — sit down for a candid, wide-ranging conversation about the state of AI. Drawing on Jodie's unusual path from clinical psychology to biostatistics to NLP, and Michelle's background in machine learning fairness and AI ethics consulting, the two offer a measured, research-grounded perspective on generative AI's real capabilities and limitations. They trace historical parallels between today's AI boom and earlier 'AI summers,' unpack the contested definitions of AI and AGI, make the case for why foundational machine learning knowledge still matters, and examine what the evidence actually says about AI's impact on developer productivity.

RECOMMENDED BOOKS
Mark Coeckelbergh • AI Ethics • https://amzn.to/3SuXUbY
Debbie Sue Jancis • AI Ethics • https://amzn.to/44yuEbR
Alex Castrounis • AI for People and Business • https://amzn.to/3NYKKTo
Phil Winder • Reinforcement Learning • https://amzn.to/3t1S1VZ

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