In this episode of the Art and Logic Minimum Viable Podcast, Carlos Perez and Brett Porter dive into one of the most hotly debated topics in technology today: large language models (LLMs) and their impact on software development. Brett shares a candid view of the current “fog of war” around AI in programming—what’s hype, what’s real, and where these tools genuinely provide value. Along the way, he explores: - What LLMs _actually_ are (and why “artificial intelligence” may be the wrong label...
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In this episode of the Art and Logic Minimum Viable Podcast, Carlos Perez and Brett Porter dive into one of the most hotly debated topics in technology today: large language models (LLMs) and their impact on software development. Brett shares a candid view of the current “fog of war” around AI in programming—what’s hype, what’s real, and where these tools genuinely provide value. Along the way, he explores: - What LLMs _actually_ are (and why “artificial intelligence” may be the wrong label...
The Pernicious Nephew: AI, LLMs, and the Future of Programming
Art+Logic's Minimum Viable Podcast
25 minutes
2 months ago
The Pernicious Nephew: AI, LLMs, and the Future of Programming
In this episode of the Art and Logic Minimum Viable Podcast, Carlos Perez and Brett Porter dive into one of the most hotly debated topics in technology today: large language models (LLMs) and their impact on software development. Brett shares a candid view of the current “fog of war” around AI in programming—what’s hype, what’s real, and where these tools genuinely provide value. Along the way, he explores: - What LLMs _actually_ are (and why “artificial intelligence” may be the wrong label...
Art+Logic's Minimum Viable Podcast
In this episode of the Art and Logic Minimum Viable Podcast, Carlos Perez and Brett Porter dive into one of the most hotly debated topics in technology today: large language models (LLMs) and their impact on software development. Brett shares a candid view of the current “fog of war” around AI in programming—what’s hype, what’s real, and where these tools genuinely provide value. Along the way, he explores: - What LLMs _actually_ are (and why “artificial intelligence” may be the wrong label...
