Multimodality in AI allows for the integration of audio, video, images, text, and code, enhancing the utility of AI systems.

Voice AI has enabled significant innovation, allowing users to interact with AI agents that can respond in a human-like manner, often without the user realizing they are not speaking to a human.

We're entering a new phase of AI where the platform shift will change how we interact with computers, moving towards natural language interfaces.

Voice interaction with AI is becoming more efficient, allowing for quick corrections and adjustments during conversations.

I believe the future of communication between humans and AI will heavily rely on natural language, and I'm particularly excited about humanoid robots that can interact with us in a human-like manner.

The design of AI interfaces is evolving towards natural language interactions, allowing users to collaborate with AI as if it were a co-worker rather than just a tool.

I was really excited about the developer keynote at Google I/O, where we discussed how we're enabling multimodal capabilities, like taking images to code and using AI to help with rapid coding and idea exploration.

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

The way people communicate with computers is evolving; natural language is becoming a primary interface, allowing for more intuitive interactions.