Emu3.5: Native Multimodal Models are World Learners

The introduction of Emu3.5 marks a significant advancement in AI, as it is a large-scale multimodal world model capable of predicting outcomes across both vision and language. This innovative model has been trained on an extensive dataset of over 10 trillion tokens, primarily sourced from internet videos, allowing it to seamlessly process and generate interleaved vision-language inputs. This development is crucial as it enhances the capabilities of AI in understanding and interacting with the world, paving the way for more sophisticated applications in various fields.