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Are Coding Jobs at Risk? AI's Impact on the Future of Coding ft. Python Simplified | Mariya Sha

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Manage episode 425489217 series 3568595
Content provided by Hubspot, Matt Wolfe, Nathan Lands, and Hubspot Podcast Network. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Hubspot, Matt Wolfe, Nathan Lands, and Hubspot Podcast Network 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://player.fm/legal.

Episode 12: Are coding jobs at risk with the rise of AI? Matt Wolfe (https://x.com/mreflow) and Nathan Lands (https://x.com/NathanLands) dive into this compelling topic with guest Mariya Sha (https://x.com/mariyasha888), a seasoned coder and the creator of the popular YouTube channel Python Simplified.

This episode delves into the contradictions and synergies between artificial intelligence and coding, featuring Mariya Sha, who started coding at a young age and later found success with her YouTube channel that simplifies Python programming. Together, they explore the changing landscape of coding due to AI advancements, ethical concerns, and the future of AI-integrated coding environments. Mariya shares her skepticism and hopes for the future, particularly AI's potential impact on coding jobs and the importance of a personalized touch in YouTube content creation.

Check out The Next Wave YouTube Channel if you want to see Matt and Nathan on screen: https://lnk.to/thenextwavepd

Show Notes:

  • (00:00) Confusion about AI models and documentation use.
  • (05:35) Exciting potential for non-coders to code.
  • (08:36) AI is better at handling fast change.
  • (09:49) Engineering and coding solve problems, with AI help.
  • (14:51) Future AI control raises transparency and ethical concerns.
  • (17:03) Debate over open source AI vs national security.
  • (19:33) Concerns about LLM capabilities and potential surveillance.
  • (25:20) Janssen's free supercomputer and transparency questioned.
  • (26:24) Lack of plan B led to GPT domination.
  • (32:02) AI model training ethics and inspiration discussion.
  • (35:04) Sharing is important, copyright laws are nitpicky.
  • (36:43) Startup pivoted towards copyright, government unwilling to change.

Mentions:

Check Out Matt’s Stuff:

• Future Tools - https://futuretools.beehiiv.com/

• Blog - https://www.mattwolfe.com/

• YouTube- https://www.youtube.com/@mreflow

Check Out Nathan's Stuff:

The Next Wave is a HubSpot Original Podcast // Brought to you by The HubSpot Podcast Network // Production by Darren Clarke // Editing by Ezra Bakker Trupiano

  continue reading

16 episodes

Artwork
iconShare
 
Manage episode 425489217 series 3568595
Content provided by Hubspot, Matt Wolfe, Nathan Lands, and Hubspot Podcast Network. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Hubspot, Matt Wolfe, Nathan Lands, and Hubspot Podcast Network 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://player.fm/legal.

Episode 12: Are coding jobs at risk with the rise of AI? Matt Wolfe (https://x.com/mreflow) and Nathan Lands (https://x.com/NathanLands) dive into this compelling topic with guest Mariya Sha (https://x.com/mariyasha888), a seasoned coder and the creator of the popular YouTube channel Python Simplified.

This episode delves into the contradictions and synergies between artificial intelligence and coding, featuring Mariya Sha, who started coding at a young age and later found success with her YouTube channel that simplifies Python programming. Together, they explore the changing landscape of coding due to AI advancements, ethical concerns, and the future of AI-integrated coding environments. Mariya shares her skepticism and hopes for the future, particularly AI's potential impact on coding jobs and the importance of a personalized touch in YouTube content creation.

Check out The Next Wave YouTube Channel if you want to see Matt and Nathan on screen: https://lnk.to/thenextwavepd

Show Notes:

  • (00:00) Confusion about AI models and documentation use.
  • (05:35) Exciting potential for non-coders to code.
  • (08:36) AI is better at handling fast change.
  • (09:49) Engineering and coding solve problems, with AI help.
  • (14:51) Future AI control raises transparency and ethical concerns.
  • (17:03) Debate over open source AI vs national security.
  • (19:33) Concerns about LLM capabilities and potential surveillance.
  • (25:20) Janssen's free supercomputer and transparency questioned.
  • (26:24) Lack of plan B led to GPT domination.
  • (32:02) AI model training ethics and inspiration discussion.
  • (35:04) Sharing is important, copyright laws are nitpicky.
  • (36:43) Startup pivoted towards copyright, government unwilling to change.

Mentions:

Check Out Matt’s Stuff:

• Future Tools - https://futuretools.beehiiv.com/

• Blog - https://www.mattwolfe.com/

• YouTube- https://www.youtube.com/@mreflow

Check Out Nathan's Stuff:

The Next Wave is a HubSpot Original Podcast // Brought to you by The HubSpot Podcast Network // Production by Darren Clarke // Editing by Ezra Bakker Trupiano

  continue reading

16 episodes

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