How language-technology AIs could completely transform science

Shobita Parthasarathy claims that LLMs could support to advance investigation, but their use need to be regulated.

Equipment-studying algorithms that generate fluent language from large quantities of text could change how science is finished — but not always for the much better, suggests Shobita Parthasarathy, a specialist in the governance of rising systems at the University of Michigan in Ann Arbor.

In a report revealed on 27 April, Parthasarathy and other researchers test to foresee societal impacts of emerging artificial-intelligence (AI) technologies named massive language products (LLMs). These can churn out astonishingly convincing prose, translate in between languages, solution

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Are we witnessing the dawn of post-theory science? | Artificial intelligence (AI)

Isaac Newton apocryphally discovered his second law – the one about gravity – after an apple fell on his head. Much experimentation and data analysis later, he realised there was a fundamental relationship between force, mass and acceleration. He formulated a theory to describe that relationship – one that could be expressed as an equation, F=ma – and used it to predict the behaviour of objects other than apples. His predictions turned out to be right (if not always precise enough for those who came later).

Contrast how science is increasingly done today. Facebook’s machine learning tools predict your

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