In December, Edward Hughes and Louis Kirsch, two of the world’s leading artificial intelligence researchers, left Google. Their goal: to build an A.I. system smart enough to build a better A.I. system.
At their new London start-up, Inherent, they now spend their days working alongside a prototype called Faraday. Named for the 19th-century English physicist Michael Faraday, it gathers mountains of data capturing the daily activities of Dr. Hughes, Dr. Kirsch and Inherent’s other researchers: emails, instant messages, meeting transcripts and their ongoing chats with Faraday itself. The company then uses this data to build a better version of Faraday.
“Faraday has access to everything that goes on at the company,” Dr. Hughes said. “We want to give it data describing the process we go through, to discover something,”
Though Inherent pledges to keep humans involved in this elaborate process, many other companies are building similar technology, and some leading researchers believe A.I. systems will eventually be powerful enough to improve themselves with little or no help from human developers — a mind-bending goal that computer scientists call recursive self-improvement, or R.S.I.