In 2017, contemporary off a PhD on theoretical chemistry, John Jumper heard rumors that Google DeepMind had moved on from game-playing AI to a secret venture to foretell the constructions of proteins. He utilized for a job.
Simply three years later, Jumper and CEO Demis Hassabis had led the event of an AI system known as AlphaFold 2 that was capable of predict the constructions of proteins to inside the width of an atom, matching lab-level accuracy, and doing it many instances sooner—returning ends in hours as a substitute of months.
Final 12 months, Jumper and Hassabis shared a Nobel Prize in chemistry. Now that the hype has died down, what impression has AlphaFold actually had? How are scientists utilizing it? And what’s subsequent? I talked to Jumper (in addition to a couple of different scientists) to seek out out. Learn the total story.
—Will Douglas Heaven
The State of AI: Chatbot companions and the way forward for our privateness
—Eileen Guo & Melissa Heikkilä
Even if you happen to don’t have an AI good friend your self, you in all probability know somebody who does. A latest examine discovered that one of many high makes use of of generative AI is companionship: On platforms like Character.AI, Replika, or Meta AI, folks can create customized chatbots to pose as the perfect good friend, romantic associate, dad or mum, therapist, or another persona they’ll dream up.
Some state governments are taking discover and beginning to regulate companion AI. However tellingly, one space the legal guidelines fail to deal with is person privateness. Learn the total story.
That is the fourth version of The State of AI, our subscriber-only collaboration between the Monetary Instances and MIT Know-how Evaluation. Join right here to obtain future editions each Monday.
Whereas subscribers to The Algorithm, our weekly AI publication, get entry to an prolonged excerpt, subscribers to the MIT Know-how Evaluation are capable of learn the entire thing on our web site.
