Roboticists consider that, utilizing new AI strategies, they’ll unlock extra succesful robots that may transfer freely by unfamiliar environments and deal with challenges they’ve by no means seen earlier than.
However one thing is standing in the best way: lack of entry to the kinds of information used to coach robots to allow them to work together with the bodily world. It’s far tougher to come back by than the info used to coach probably the most superior AI fashions, and that shortage is among the predominant issues presently holding progress in robotics again.
Consequently, main corporations and labs are in fierce competitors to search out new and higher methods to collect the info they want. It’s led them down unusual paths, like utilizing robotic arms to flip pancakes for hours on finish. They usually’re working into the identical types of privateness, ethics, and copyright points as their counterparts on the earth of AI. Learn the total story.
—James O’Donnell
My deepfake exhibits how helpful our information is within the age of AI
—Melissa Heikkilä
Deepfakes are getting good. Like, actually good. Earlier this month I went to a studio in East London to get myself digitally cloned by the AI video startup Synthesia. They made a hyperrealistic deepfake that appeared and sounded identical to me, with lifelike intonation. The top consequence was mind-blowing. It may simply idiot somebody who doesn’t know me nicely.
Synthesia has managed to create AI avatars which can be remarkably humanlike after just one 12 months of tinkering with the most recent era of generative AI. It’s equally thrilling and daunting fascinated about the place this know-how goes. However they elevate an enormous query: What occurs to our information as soon as we submit it to AI corporations? Learn the total story.
This story is from The Algorithm, our weekly AI publication. Join to obtain it in your inbox each Monday.
