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 worker*s, 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. Ciao, Enrico Il 08/02/2025 08:33, J.C. DE MARTIN ha scritto:
https://mitsloan.mit.edu/ideas-made-to-matter/a-new-look-economics-ai
"Estimating that only about 5% of tasks will be able to be profitably performed by AI within that time frame, the GDP boost would likely be closer to 1% over that period, Acemoglu suggests. This is a “nontrivial, but modest effect, and certainly much less than both the revolutionary changes some are predicting and the less hyperbolic but still substantial improvements forecast by Goldman Sachs and the McKinsey Global Institute,” he writes."
Opps.
jc
-- -- EN https://www.hoepli.it/libro/la-rivoluzione-informatica/9788896069516.html ====================================================== Prof. Enrico Nardelli Past President di "Informatics Europe" Direttore del Laboratorio Nazionale "Informatica e Scuola" del CINI Dipartimento di Matematica - Università di Roma "Tor Vergata" Via della Ricerca Scientifica snc - 00133 Roma home page: https://www.mat.uniroma2.it/~nardelli blog: https://link-and-think.blogspot.it/ tel: +39 06 7259.4204 fax: +39 06 7259.4699 mobile: +39 335 590.2331 e-mail: nardelli@mat.uniroma2.it online meeting: https://blue.meet.garr.it/b/enr-y7f-t0q-ont ====================================================== --
