Reinforcement Learning Industrial Applications Intelligent

This interview was recorded for GOTO Unscripted. #GOTOcon #GOTOunscripted https://gotopia.tech Check out more here: https://gotopia.tech/articles/431 Jodie Burchell - Senior Data Science Developer Advocate at JetBrains @jodieburchell Michelle Frost - AI Advocate at JetBrains 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 https://youtu.be/XShcmCBK93E https://youtu.be/fVsGd056FDM https://youtu.be/Pv0cfsastFs https://youtu.be/Cn-ZWJEs59k https://youtu.be/DeEkA9cunB4 https://youtu.be/JD3yNaWs70A https://youtu.be/o8I0M5vjdyE https://youtu.be/ZPlD0rpiFwQ https://youtu.be/BByWWTdNI0Y https://youtu.be/rxdvRV5oFPU https://youtu.be/ZTfnRXtIFEo https://youtu.be/M0exasJQ1ks https://youtu.be/x5s_gsu9Hgs https://youtu.be/b_--xrN3eso https://youtu.be/tbDDYKRFjhk https://youtu.be/Qhm-vXEM5Ls 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. TIMECODES 00:00 Intro 00:28 From clinical psychology to data science 04:39 Defining AI— and why it matters 15:13 Patterns of the AI bubble: History repeating itself 17:59 AGI: Hype, Hope, and the Measurement Problem 24:01 Developer productivity: What the research shows 28:37 Outro 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 https://bsky.app/profile/gotocon.com https://twitter.com/GOTOcon https://www.linkedin.com/company/goto- https://www.instagram.com/goto_con https://www.facebook.com/GOTOConferences #EthicsOfAI #AIEthics #AI #ML #DataScience #Humanity #Ethics #MachineEthics #EthicalML #LLM #LargeLanguageModel #LimitationsOfLLMs #GenAI #AGI #ArtificialGeneralIntelligence #SoftwareEngineering #Programming #JodieBurchell #MichelleFrost #GOTO CHANNEL MEMBERSHIP BONUS Join this channel to get early access to videos & other perks: https://www.youtube.com/channel/UCs_tLP3AiwYKwdUHpltJPuA/join Looking for a unique learning experience? Attend the next GOTO conference near you! Get your ticket at https://gotopia.tech Sign up for updates and specials at https://gotopia.tech/newsletter SUBSCRIBE TO OUR CHANNEL - new videos posted almost daily. https://www.youtube.com/user/GotoConferences/?sub_confirmation=1