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You often hear some of our competitors talk about these modern systems that we have today are PhD intelligences. I
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think that's a nonsense. They're not PhD intelligences. They have some capabilities that are PhD level, but
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they're not in general capable, and that's exactly what general intelligence should be of of performing across the
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board at the PhD level. In fact, as we all know, interacting with today's chat bots, if you pose the question in a
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certain way, they can make simple mistakes with even like high school maths and simple counting. That
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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
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years away from having an AGI system that's capable of doing those things. Another thing that's missing is
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continual learning. This ability to like online teach the system something new or
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adjust its behavior in some way. And so a lot of these I think core capabilities
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are still missing and maybe scaling will get us there but I feel if I was to bet
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I think there are probably one or two missing breakthroughs that are still required and will come over the next
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five or so is.