Gemini reinforcement-learning work reportedly brings bug fixes and improvements

Arthur Douillard described months of work on scaling reinforcement learning for Gemini in a Sept. 30 post.

He wrote that he had been working on it since March, had fixed a few bugs and had made improvements. He characterized the bugs as “nasty” and the improvements as “fun.”

Douillard expressed pride in the team’s progress and optimism about its direction, while emphasizing that the work continues: “Still a lot to build.”