As described in the 2014 tribute, “ There are three on/off switches on the ground floor of a building. Puzzle 1įirst, let’s explore a true logic problem. Here’s how some relatively simple puzzles can illustrate this crucial difference between the ways silicon and gray matter process information. “It might sound like it is reasoning however, it is bound by its data set.” The AI “does not have reasoning capabilities it does not understand context it doesn’t have anything that is independent of what is already built into its system,” says Merve Hickok, a data science ethicist at the University of Michigan. After that humans train the system, teaching it what types of responses are best to various kinds of questions users might ask-particularly regarding sensitive topics. Then ChatGPT learns to statistically identify what word is most likely to follow a previous word in order to construct a response. This is a deep-learning system that has been fed a huge amount of text-whatever books, websites and other material the AI’s creators can get their hands on. The results ranged from satisfactory to downright embarrassing-but in a way that offers valuable insight into how ChatGPT and similar artificial intelligence systems work.ĬhatGPT, which was created by the company OpenAI, is built on what’s called a large language model. I tested ChatGPT on a handful of text-based brainteasers described by Gardner or a 2014 tribute to his work by mathematician Colm Mulcahy and computer scientist Dana Richards in Scientific American. But Scientific American wanted to see what would happen if the bot went head to head with the legacy of legendary puzzle maker Martin Gardner, longtime author of our Mathematical Games column, who passed away in 2010. It turns out that if you want to solve a brainteaser, it helps to have a brain.ĬhatGPT and other artificial intelligence systems are earning accolades for feats that include diagnosing medical conditions, acing an IQ test and summarizing scientific papers.
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