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    Home » Google DeepMind wants to define what counts as artificial general intelligence
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    Google DeepMind wants to define what counts as artificial general intelligence

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    Google DeepMind wants to define what counts as artificial general intelligence
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    To give you the brand new definition, the Google DeepMind group began with distinguished present definitions of AGI and drew out what they imagine to be their important frequent options. 

    The group additionally outlines 5 ascending ranges of AGI: rising (which of their view consists of cutting-edge chatbots like ChatGPT and Bard), competent, skilled, virtuoso, and superhuman (performing a variety of duties higher than all people, together with duties people can not do in any respect, such as decoding different folks’s ideas, predicting future occasions, and speaking to animals). They word that no degree past rising AGI has been achieved.

    “This provides some much-needed clarity on the topic,” says Julian Togelius, an AI researcher at New York University, who was not concerned within the work. “Too many people sling around the term AGI without having thought much about what they mean.”

    The researchers posted their paper on-line final week with zero fanfare. In an unique dialog with two group members—Shane Legg, certainly one of DeepMind’s co-founders, now billed as the corporate’s chief AGI scientist, and Meredith Ringel Morris, Google DeepMind’s principal scientist for human and AI interplay—I bought the lowdown on why they got here up with these definitions and what they wished to obtain.

    A sharper definition

    “I see so many discussions where people seem to be using the term to mean different things, and that leads to all sorts of confusion,” says Legg, who got here up with the time period within the first place round 20 years in the past. “Now that AGI is becoming such an important topic—you know, even the UK prime minister is talking about it—we need to sharpen up what we mean.”

    It wasn’t at all times this fashion. Talk of AGI was as soon as derided in severe dialog as imprecise at finest and magical pondering at worst. But buoyed by the hype round generative fashions, buzz about AGI is now all over the place.

    When Legg advised the time period to his former colleague and fellow researcher Ben Goertzel for the title of Goertzel’s 2007 ebook about future developments in AI, the hand-waviness was form of the purpose. “I didn’t have an especially clear definition. I didn’t really feel it was necessary,” says Legg. “I was actually thinking of it more as a field of study, rather than an artifact.”

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