The Multimodal AI Laboratory (MAIL) studies large multimodal foundation models spanning vision-language and video-language, and has recently widened its scope to agent models that plan and act on their own. Its aim is to keep large models maintainable and deployable with confidence without retraining them from scratch each time. Three directions are pursued together: forgetting and continual learning, faithful and efficient inference, and agent and embodied AI.