All that tells us is that human beings think that machines that can talk are intelligent, but it turned out to be untrue” Gary Marcus “It would respond with wisecracks to evade revealing its limitations, and to the untrained eye, it was fairly convincing. Could you tell me about your job, by the way?’ The program could not solve logical problems like a real 13 year old could. I suspect our neighbours want to cut his throat. For instance, when asked if he plays many instruments, Eugene said, ‘I’m tone-deaf, but my guinea pig likes to squeal Beethoven’s Ode to Joy every morning. Eugene either completely avoided certain topics or deflected when presented with a question it had no answer to. But Goostman’s feat was more imitation and diversion than showing real intelligence. “Our main idea was that he can claim that he knows anything, but his age also makes it perfectly reasonable that he doesn’t know everything,” said Veselov, one of the programmers of Gustman. In 2014, a program named Eugene Goostman convinced a third of a panel of judges that it was a 13-year-old boy from Ukraine. While no machine has passed the Turing Test yet, a few have come close. At the heart of the Turing test is the question: “Are there imaginable computers which would do well in the imitation game?” The game aimed to identify if the computer is a good simulation of humans and is, therefore, intelligent. The judge would do this by asking a series of questions to the contestants.

A judge has to decide which of the two contestants is human and which is a machine. Turing testĪlan Turing proposed the Turing test in a 1950 paper called “ Computing Machinery and Intelligence.” He suggested ‘Imitation Game’ with two contestants– a human and a computer. So how do we measure intelligence in machines? And more importantly, how accurate are such tests. Human intelligence is very specialised, said Meta’s chief AI scientist Yann LeCun.

Even the terminology is debated: There is no such thing as artificial general intelligence because there is no such thing as general intelligence.

Today, AI can do many things: GPT-3 can produce human-like text, DALL-E can generate the most imaginative images based on textual prompts, and Alexa can turn off lights at your behest, yet we are far from achieving artificial general intelligence (AGI).įor starters, we still dont have an agreed-upon definition of AGI.

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