AI models are increasingly showing multimodal capabilities, suggesting they might develop more complex experiences in the future.

The current AI models are impressive on their own, but they need to be integrated into applications that enhance user engagement and retention.

The future of AI involves models that can provide ongoing insights about users, acting as continuous coaches rather than just responding to isolated queries.

As AI becomes more integrated into daily life, there will be a growing need to ensure that relationships with AI are healthy, emphasizing the importance of understanding user behaviors and values.

As we gather more data on user preferences, we can create highly personalized AI models that cater to individual needs, making interactions more effective.

The long-term differentiation in AI will not be in the base models but in how personalized and integrated they are into users' lives, providing context and utility that meets individual needs.

People are increasingly connecting with AI on a personal level and developing attachments to the models, which raises questions about the implications of these relationships.

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

Using AI to summarize user behavior and engagement can enhance the user experience and provide valuable insights for improvement.