Wharton's Ethan Mollick and Gary Marcus debate whether historical machine learning data barriers limit generative AI returns

From: Wharton's Ethan Mollick and Gary Marcus debate whether historical machine learning data barriers limit generative AI returns

Ethan Mollick@emollick·7hQuote tweet

I actually read this & it is super weird, it appears to be an argument that prior machine learning systems (not generative AI) did not generate savings due to data issues so that will lead to a lack of investment into current AI systems Also it cites the mostly fake “MIT study”

John Cassidy@JohnCassidy·1dView on

First it was MIT and McKinsey. Now Bain finds that returns to corporate AI investments are disappointing.

View on