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Exploring True Multi-Modality and Robot Control
The chapter discusses a research paper from the Allen Institute for AI and academic partners about a new auto-aggressive, multi-modal model. The model is capable of understanding and generating images, text, audio, and actions with a shared representation for all these modalities. It explores the concept of true multi-modality by allowing one system to take in any kind of input and produce any kind of output. The chapter also addresses the issue of test set contamination in language models and evaluates language model agents on autonomous replication and adaptation tasks.