AI models need to develop a deeper understanding of users beyond single interactions, fostering empathy and contextual awareness to enhance long-term engagement.

Multimodality in AI allows for the integration of audio, video, images, text, and code, enhancing the utility of AI systems.

AI models have become proficient at processing unstructured data, allowing them to generate helpful responses and take actions in customer support scenarios.

The convergence of reasoning models and multimodal models will lead to a new kind of computer interface that can reason, generate real-time video, and provide personalized experiences.

We're in a period of high uncertainty regarding the evolution of AI model capabilities, particularly in multimodality, which will continue to improve.

The success of multimodal models has narrowed the diversity of ideas in AI, leading to concerns about reaching the limits of usable human data.

AI models are not just about knowledge and synthesis; they can perform tasks like scrolling and clicking in browsers.

Future AI models could blend vast world knowledge, creative fluency, emotional nuance, and advanced reasoning all in one, which is incredibly exciting.

Models will get better at understanding and creating images, audio, and especially video, which will dramatically enhance how we interact with data.