and there s still plenty of room to grow. these days, he works for google and he s still watching and working on new networking technologies. and i asked him for his take on the latest iteration of artificial intelligence, especially the chatbots that sound so human in their writing, but not in their fact checking. the scale is astonishing. the verisimilitude of intelligence is striking, and the reason that it is so misleading, i think, is that what gets produced is persuasive because it s glib almost it certainly parses correctly. and because it looks well done, we assume that it must have significance, that it must have weight. so i did a test with one of these chatbots
internet. the internet story is now 50 years internet. the internet story is now 50 years old internet. the internet story is now 50 years old and - internet. the internet story is now 50 years old and had - now 50 years old and had started in 1973 and its roots go back into the late 1960s. we to be expandable, and i am very pleased to see how this thing has scaled up by probably six orseven has scaled up by probably six or seven orders of magnitude from the time that we started working on it today s current internet. and there is still plenty of work to go. these da s he plenty of work to go. these days he works plenty of work to go. these days he works for plenty of work to go. these days he works for google i plenty of work to go. these i days he works for google and plenty of work to go. these - days he works for google and he is still watching and working on new networking technologies. and i asked him for his take on the latest iteration of artificial intelligence, especi
thing has scaled up by probably six or seven orders of magnitude from the time that we started working on it to today s current internet. and there s still plenty of room to grow. these days, he works for google and he s still watching and working on new networking technologies. and i asked him for his take on the latest iteration of artificial intelligence, especially the chatbots that sound so human in their writing, but not in their fact checking. the scale is astonishing. the verisimilitude of intelligence is striking, and the reason that it is so misleading, i think, is that what gets produced is persuasive because it s glib almost it certainly parses correctly. and because it looks well done, we assume that it must have significance, that it
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