Grazie Juan-Carlos.

"The new paper" a cui l'articolo fa riferimento è “The Simple Macroeconomics of AI,” pubblicata su "Economic Policy" nell'agosto 2024 https://academic.oup.com/economicpolicy/article/40/121/13/7728473 , ma uscita già come preprint nel maggio dello stesso anno.

Il paragrafo conclusivo mi sembra molto ma molto esplicito su quale sia la situazione attuale e i problemi da risolvere (grassetto mio).

My assessment is that there are indeed much bigger gains to be had from generative AI, which is a promising technology, but these gains will remain elusive unless there is a fundamental reorientation of the industry, including perhaps a major change in the architecture of the most common generative AI models, such as the LLMs, in order to focus on reliable information that can increase the marginal productivity of different kinds of workers, rather than prioritizing the development of general human-like conversational tools. The general-purpose nature of the current approach to generative AI could be ill-suited for providing such reliable information. To put it simply, it remains an open question whether we need foundation models (or the current kind of LLMs) that can engage in human-like conversations and write Shakespearean sonnets if what we want is reliable information useful for educators, healthcare professionals, electricians, plumbers and other skilled workers.