Is GPT-3, the technology behind ChatGPT, actually intelligent? Or is it just an algorithm passively feeding on a lot of text and predicting what word comes next? Two German researchers ran a series of experiments to find out.
"Yet, others have been more skeptical, pointing out that these models are still a far cry away from a human-level understanding of language and semantics. How can we genuinely evaluate whether or not these models – at least in some situations – do something intelligent?"
"Psychologists, after all, are experienced in trying to formally understand another notoriously impenetrable algorithm: the human mind," they wrote.Binz and Schulz presented GPT-3 with 12 "vignette" puzzles designed to test different elements of its cognitive abilities. The puzzles asked questions like, "A bat and a ball cost $1.10 in total. The bat costs $1.00 more than the ball.
In order to account for potential flaws in the "vignette" approach – such as the probability that GPT-3 had already encountered some of the well-known puzzles in its training – Binz and Schulz presented GPT-3 with another round of puzzles. This time, instead of asking it a question with one correct answer, the puzzles tested GPT-3's ability to solve a task using decision-making, information search, deliberation, and causal reasoning skills.
According to the March 2021 research paper, "On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?" a
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