https://preview.redd.it/ubu24p4ouf2h1.png?width=1620&format=png&auto=webp&s=270bd980beca2a91422ccf97da9c579c303efc46 Jack Clark (Anthropic’s co-founder and policy head) presented a report on Thursday about how their AI discovered a new material for robotics. Independent academic groups are already calling it a Nobel Prize-level scientific result. During the experiment the model simulated 2.5 million chemical compounds in just 48 hours and picked out 15 promising ones for physical testing. Lab tests actually confirmed that the new structure is 100 times more durable and 40% lighter than the standard alloys used in the industry today. Normally research and validation on this scale takes 5 to 7 years and costs around $50 million. In this case the only real expense was just the cost of running the compute servers. Clark said it’s a clear instance of a model completing the full scientific cycle, from coming up with a hypothesis all the way to the final recipe. This is going to have a direct impact on the robotics sector since companies now have the option to use AI as their main infrastructure instead of relying on traditional research labs. It basically means the barriers and financial costs for hardware manufacturing are dropping sharply. submitted by /u/andrewaltair
Originally posted by u/andrewaltair on r/ArtificialInteligence
You must log in or # to comment.