Beyond the Hype: What AI Actually Can (and Can't) Do
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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.
Transcript
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.
About the speakers
Data Scientist and Developer at JetBrains
