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The Death of Classical Computer Science • Matt Welsh & Julian Wood

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Manage episode 523902320 series 2896766
Content provided by GOTO. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by GOTO or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

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

Bluesky
Twitter
Instagram
LinkedIn
Facebook
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Join this channel to get early access to videos & other perks:
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Looking for a unique learning experience?
Attend the next GOTO conference near you! Get your ticket: gotopia.tech
SUBSCRIBE TO OUR YOUTUBE CHANNEL - new videos posted daily!

  continue reading

Chapters

1. Intro (00:00:00)

2. LLMs as the new computers (00:01:03)

3. The future of language models: From silos to integration (00:06:46)

4. Open Source models & the democratization of AI (00:11:54)

5. From programming priesthood to universal computing (00:18:23)

6. Challenges & concerns (00:30:09)

7. Outro (00:45:31)

269 episodes

Artwork
iconShare
 
Manage episode 523902320 series 2896766
Content provided by GOTO. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by GOTO or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

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

Bluesky
Twitter
Instagram
LinkedIn
Facebook
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: gotopia.tech
SUBSCRIBE TO OUR YOUTUBE CHANNEL - new videos posted daily!

  continue reading

Chapters

1. Intro (00:00:00)

2. LLMs as the new computers (00:01:03)

3. The future of language models: From silos to integration (00:06:46)

4. Open Source models & the democratization of AI (00:11:54)

5. From programming priesthood to universal computing (00:18:23)

6. Challenges & concerns (00:30:09)

7. Outro (00:45:31)

269 episodes

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