In the future, we will see a proliferation of different AI models, with companies using the largest models for performance optimization.

The future of AI may involve new infrastructure and development tools that leverage the unique characteristics of AI models, differentiating them from traditional functions.

The development of AI models should include layers of specialization for industries and specific companies to meet unique needs.

The future of AI will involve diverse models that allow businesses and creators to customize their AI agents for specific tasks and interactions.

Using larger AI models to teach smaller models allows for the creation of specialized models that fit specific operating domains or cost requirements.

The future will likely see more choices of AI models rather than a single dominant model.

The ability to distill models from larger ones will be valuable, as companies will likely have AIs tailored for every function they need.

The future will consist of many smaller, specialized models for different use cases, rather than just one generic model.

There are numerous smaller-scale AI projects, such as those in agriculture and food production, that require a different approach than the traditional model of hiring large teams of engineers for development.