Roboticists increasingly believe that their field is approaching its ChatGPT moment. (Robotics researcher) Tony Zhao told me that when he ran one of his latest creations he immediately thought of GPT-3. \u201cIt feels like something that I\u2019ve never seen before,\u201d he said. In the top labs, devices that once seemed crude and mechanical\u2014robotic\u2014are moving in a way that suggests intelligence. A.I.\u2019s hands are coming online. \u201cThe last two years have been a dramatically steeper progress curve,\u201d Carolina Parada, who runs the robotics team at Google DeepMind, told me. Parada\u2019s group has been behind many of the most impressive recent robotics breakthroughs, particularly in dexterity. \u201cThis is the year that people really realized that you can build general-purpose robots,\u201d she said. What is striking about these achievements is that they involve very little explicit programming. The robots\u2019 behavior is learned.<\/p>\n\n\n\n
Read it all<\/a>.<\/p><\/p> A future generation of robots will not be programmed to complete specific tasks. Instead, they will use A.I. to teach themselves, James Somers reports. https:\/\/t.co\/U7euwIw6mW<\/a><\/p>— The New Yorker (@NewYorker) November 27, 2024<\/a><\/blockquote>