Demis Hassabis: it's “nonsense” to claim that today's AI chatbots have PhD intelligence
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Episode Description
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Brief Summary
Current AI systems are not true AGI and need breakthroughs.
Key points
- The Myth of PhD-Level AI. Current AI systems are not truly intelligent; they make simple mistakes.
- AGI Timeline Prediction. Expert predicts we are 5 to 10 years away from true AGI capabilities.
Transcript
You often hear some of our competitors talk about these modern systems that we have today are PhD intelligences. I think that's a nonsense. They're not PhD intelligences. They have some capabilities that are PhD level, but they're not in general capable, and that's exactly what general intelligence should be of of performing across the board at the PhD level. In fact, as we all know, interacting with today's chat bots, if you pose the question in a certain way, they can make simple mistakes with even like high school maths and simple counting. That shouldn't be possible for a true AGI system. So, I think that we are maybe, you know, I would say sort of 5 to 10
years away from having an AGI system that's capable of doing those things. Another thing that's missing is continual learning. This ability to like online teach the system something new or adjust its behavior in some way. And so a lot of these I think core capabilities are still missing and maybe scaling will get us there but I feel if I was to bet I think there are probably one or two missing breakthroughs that are still required and will come over the next five or so is.
