The future landscape of AI may involve a combination of large models and smaller, specialized models that work in parallel, leveraging different areas of expertise.

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

The future of AI in enterprises will likely involve a mix of homegrown algorithms for unique applications and external solutions for standard operational needs. The opportunity lies in developing infrastructure and developer tools that enable internal IT or AI teams to operate efficiently and create tailored solutions for their businesses.

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

The emergence of specialized AI models will enable new applications to thrive, similar to how JavaScript transformed web browsers by allowing for more dynamic functionalities.

As AI becomes more integrated into various applications, we need to optimize for specific internal use cases, which may lead us to use other models if they better serve those needs.

In the future, millions of developers will likely use AI tools to create innovative applications, reflecting the transformative potential of this technology.

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

Computer use represents a significant advancement for AI, allowing models to adapt to tools rather than requiring developers to create custom environments for each task.