Roboticists imagine that, utilizing new AI strategies, they’ll unlock extra succesful robots that may transfer freely via unfamiliar environments and deal with challenges they’ve by no means seen earlier than.
However one thing is standing in the way in which: 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 more durable to return by than the information used to coach essentially the most superior AI fashions, and that shortage is among the fundamental issues at present holding progress in robotics again.
Consequently, main corporations and labs are in fierce competitors to seek out new and higher methods to assemble the information they want. It’s led them down unusual paths, like utilizing robotic arms to flip pancakes for hours on finish. And so they’re working into the identical types of privateness, ethics, and copyright points as their counterparts on this planet of AI. Learn the complete story.
—James O’Donnell
My deepfake exhibits how priceless 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 similar to me, with real looking intonation. The tip end result 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 yr of tinkering with the newest era of generative AI. It’s equally thrilling and daunting interested by the place this know-how goes. However they increase a giant query: What occurs to our information as soon as we submit it to AI corporations? Learn the complete story.
This story is from The Algorithm, our weekly AI e-newsletter. Enroll to obtain it in your inbox each Monday.
