DeepMind’s Gato AI can play computer games, chat with humans and stack coloured blocks with a robot arm, leading to claims that it is a 'general intelligence' of the kind long-sought by AI researchers - but some experts say Gato just isn't that smart
he said that a “human level AI” may be a useful goal to aim for, where AI can learn jobs as needed like a human would, but that we aren’t there yet. “We still don’t have a learning paradigm that allows machines to learn how the world works, like human and many non-human babies do,” he wrote. “The solution is not just around the corner. We have a number of obstacles to clear, and we don’t know how.
One of the driving forces behind the current success of AI research is scale; more and more computer power is being used to train ever-larger models on increasingly large sets of data. The discovery that simple scaling-up provides such power is surprising, and we are yet to see any signs that more power, more data and larger models won’t keep providing more capable AI. But many researchers are sceptical that it will lead to a conscious, or even general AI.
Marcus says Gato was trained to do each and every one of the tasks it can do, and that faced with a new challenge it wouldn’t be able to logically analyse and solve that problem. “These are like parlour tricks,” he says. “They’re cute, they’re magician’s tricks. They’re able to fool unsophisticated humans who aren’t trained to understand these things. But that doesn’t mean that they’re actually anywhere near [AGI].
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