GOTO - The Brightest Minds in Tech
The GOTO podcast seeks out the brightest and boldest ideas from language creators and the world's leading experts in software development in the form of interviews and conference talks. Tune in to get the inspiration you need to bring in new technologies or gain extra evidence to support your software development plan.
GOTO - The Brightest Minds in Tech
The Death of Classical Computer Science • Matt Welsh & Julian Wood
This interview was recorded for GOTO Unscripted.
https://gotopia.tech
Check out more here:
https://gotopia.tech/articles/398
Matt Welsh - Head of Al Systems at Palantir
Julian Wood - Serverless Developer Advocate at AWS
RESOURCES
Matt
https://twitter.com/mdwelsh
https://www.mdw.la
https://github.com/mdwelsh
https://www.linkedin.com/in/welsh-matt
https://www.ultravox.ai
Julian
https://bsky.app/profile/julianwood.com
https://twitter.com/julian_wood
https://github.com/julianwood
http://www.wooditwork.com
https://www.linkedin.com/in/julianrwood
DESCRIPTION
Matt Welsh, former professor at Harvard University and AI researcher, argues to Julian Wood that we're witnessing the death of classical computer science as language models evolve into general-purpose computers capable of direct problem-solving without human-written code.
He envisions a future where AI eliminates programming barriers, democratizing computing power so anyone can instruct computers through natural language. While acknowledging concerns about job displacement and societal equity, Matt believes this transformation will unleash unprecedented human creativity by putting the full power of computing in everyone's hands, moving beyond the current "programming priesthood" to universal access to computational problem-solving.
RECOMMENDED BOOKS
Michael Feathers • AI Assisted Programming • https://leanpub.com/ai-assisted-programming
Matthias Kalle Dalheimer & Matt Welsh • Running Linux • https://amzn.to/3YSwAIv
Alex Castrounis • AI for People and Business • https://amzn.to/3NYKKTo
Phil Winder • Reinforcement Learning • https://amzn.to/3t1S1VZ
Kelleher & Tierney • Data Science (The MIT Press Essential Knowledge series) • https://amzn.to/3AQmIRg
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