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E120: What does the future of tech look like when it costs $0 to switch software?

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Navigating AI Development Metrics and Misconceptions

This chapter explores the complexities of measuring productivity in AI code development, examining metrics like code accuracy and bug revision rates. The discussion critiques the concept of 'vibe coding' and its practicality, while highlighting the evolution of AI model training. Additionally, the speakers humorously wrestle with explaining complex mathematical concepts, reflecting on the challenges of conveying intricate ideas to a general audience.

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