The future of AR will depend on advancements in power efficiency and the ability to create applications that are data-hungry, requiring robust network connections.

The hardware for augmented reality needs to become more lightweight, but there are significant engineering and physics challenges to fit all necessary components into a small form factor.

The current mobile infrastructure makes it easier to build AR devices, leveraging existing supply chains for components like sensors and cameras.

Moor's Law indicates that semiconductor technology improves by a factor of two every year, which is essential for our business model.

I believe AR is the next technology evolution, following the progression from desktop to mobile, and it will fundamentally change how we represent information.

I believe that the future of AI will be closely tied to devices like AR glasses, which can interact with users in a more immersive way than current screens.

The exponential increase in computational power is driving advancements in AI, leading to significant improvements in technology and capabilities, and the law of accelerating returns indicates that technological progress, including AI, continues to advance exponentially, as evidenced by a chart I found 45 years ago.

The growth in computational power over the last decade has been astounding, enabling the development of more complex AI models and applications.

The breakthrough with large language models (LLMs) has accelerated the development of high-quality AI, which is now advancing faster than holographic AR technology.