18min chapter

Machine Learning Street Talk (MLST) cover image

Taming Silicon Valley - Prof. Gary Marcus

Machine Learning Street Talk (MLST)

CHAPTER

Navigating the Limits of AI in Coding

This chapter examines the capabilities and shortcomings of generative AI coding tools, highlighting the critical role of user input in the coding process. It addresses the 'Wizard of Oz' problem and the need for structured software development, while also discussing ethical implications and the necessity of regulation in technology. Additionally, the chapter reflects on the societal impacts of AI, drawing parallels with social media and emphasizing the potential for increased loneliness and polarization.

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