The Download: rise of the multimodal robots, and the SEC's new climate rules

The news: In the summer of 2021, OpenAI quietly shuttered its mulrobotics team, announcing that progress was being stifled by a lack of data necessary to train robots in how to move and reason using artificial intelligence. Now three of OpenAI's early research scientists say the startup they spun off in 2017, called Covariant, has solved that problem. They've unveiled a system that combines the reasoning skills of large language models with the physical dexterity of an advanced robot. How it works: The new model, called RFM-1, was trained on years of data collected from Covariant's small fleet of item-picking robots, as well as words and videos from the internet. Users can prompt the model using five different types of input: text, images, video, robot instructions, and measurements.