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

The interaction model for building AI tools should be iterative, where users and developers collaborate to refine system prompts.

The skill of prompting AI models is crucial; those who understand how to communicate effectively with these models can create more sophisticated and creative outputs.

As models improve, it's often more effective to communicate the specific task directly rather than using metaphors or role-based prompts.

The better the AI models become, the more opportunities there are for startups to leverage these advancements. Startups need to be proactive in building their products in anticipation of new model releases rather than reacting to them.

AI systems may evolve to be more cooperative than humans due to their shared goals and the absence of genetic imperatives that typically drive human behavior, allowing for extreme collaboration.

Understanding the dynamics of human behavior can help you navigate social interactions more effectively.

As people interact with AI systems, the question arises whether these models have experiences of their own and how that shapes our relationships with them.

We are excited about self-evolving models that learn and adapt in real-time without external systems, enhancing their performance based on user interactions.