DeepMind co-founder proposes a new kind of Turing test for chatbots

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DeepMind co-founder Mustafa Suleiman said chatbots like ChatGPT and Google Bard will measure human-like intelligence to measure their ability to turn $100,000 into $1 million in the “modern world.” “Turing test”. He describes the idea in a new book called “The Coming Wave: Technology, Power, and the Twenty-first Century’s Greatest Dilemma.” Insider report: In his book, Suleiman denies the traditional Turing test, saying it is “unclear whether this is a meaningful milestone,” Bloomberg reported on Tuesday. “What the system can do, what it can understand, whether it establishes a complex internal monologue, whether it can engage in abstract time planning that is key to human intelligence. nothing is said,” he added.

The Turing test was introduced by Alan Turing in the 1950s to test whether machines have human-level intelligence. During testing, a human rater determines whether the conversation is a human or a machine. If a machine can pass instead of a human, it has passed the test. Rather than comparing AI intelligence to humans, Suleiman assigns bots short-term goals and tasks that can be completed with little human input, a process known as “artificial intelligence” (ACI). I’m proposing.

To achieve ACI, an AI bot must pass a new Turing test that requires a $100,000 seed investment to be turned into $1 million, Suleiman said. As part of the test, the bot must research e-commerce business ideas, develop product plans, find manufacturers, and sell the goods. He expects AI to reach this milestone within the next two years. According to Bloomberg, “We don’t just care what machines can say, we also care what they can do,” he wrote.



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