.NET Rocks!

AI Concerns with Mark Seemann

16 snips
Jul 23, 2025
Mark Seemann, a former bad economist turned programmer, shares his insights on the concerns surrounding AI's impact on software development. He discusses the perceived reliability of tools like ChatGPT, stressing the importance of having a solid understanding to validate AI-generated code. The conversation touches on ethical considerations and the challenges faced by junior developers in an AI-driven environment. Seemann also emphasizes the need for accountability and trust as technology evolves, urging caution in incorporating AI into critical systems.
Ask episode
AI Snips
Chapters
Books
Transcript
Episode notes
ANECDOTE

Music To Code By Origins

  • Mark Seemann created Music To Code By, a curated Baroque-inspired soundtrack.
  • It helps programmers maintain focus with steady beats during coding sessions.
INSIGHT

Blind Trust in AI Outputs

  • Many people blindly trust AI outputs as absolute truth without verifying validity.
  • This misplaced trust poses serious risks especially when interacting with large language models.
INSIGHT

Verify AI Recommendations

  • AI recommendations can be unreliable and misleading without vetting.
  • Human verification remains crucial when using AI for decision-making like purchases.
Get the Snipd Podcast app to discover more snips from this episode
Get the app