Season 1 · Episode 67
AI & Code: Scaling or Pivoting?
Are LLMs truly the future of coding, or do they need a fundamental architectural pivot? We dive into AI's programming future.
My Weird Prompts · Daniel Rosehill
December 21, 202522m 30s
Audio is streamed directly from the publisher (dts.podtrac.com) as published in their RSS feed. Play Podcasts does not host this file. Rights-holders can request removal through the copyright & takedown page.
Show Notes
Join Corn and Herman on "My Weird Prompts" as they tackle Daniel Rosehill's burning question: are large language models the right tool for writing computer code? They dissect whether simply scaling up current LLMs will fix their coding flaws or if a fundamental architectural pivot is needed. From the messy nature of human language versus the binary logic of code, to the concept of "Verifiable AI" and the emergence of "Large Reasoning Models," this episode explores the future of AI in programming by 2026, offering insights for both skeptical users and tech enthusiasts alike.