Recently, DeepMind has open-sourced Perceiver IO–a general-purpose deep learning model architecture that can handle many different types of inputs and outputs. This "drop-in" replacement for Transformers is powerful enough to outperform baseline models without being constrained by domain knowledge. A new preprint on arXiv describes Perceiver IO, a more general version of the AI architecture that can produce many different outputs from multiple inputs. This means it is applicable to real-world domains like language and vision as well as difficult games like StarCraft II. Unlike Perceiver, Perceiver IO is an advanced model that overcomes the limitation of only being able to produce very simple outputs by learning how to flexibly query the latent space.