AGI must be capable of understanding and interacting with the physical world, which is why Gemini was designed to be multimodal from the start.

Gemini is intended to be the very first Artificial General Intelligence (AGI).

Gemini is evolving into a universal AI assistant that understands context and can plan and take action on your behalf across devices.

The investment in the Gemini program has focused on integrating various capabilities quickly, allowing the model to handle tasks like coding, text generation, and image generation all in one place.

The Gemini model is being leveraged to enhance AI capabilities in projects like Mariner, focusing on long context and memory.

The Gemini Developer API introduced many new features, including thought summaries directly in the API, native audio output for better voice control, and a URL context tool that allows models to analyze web links, enhancing the building blocks for new capabilities.

Generative media models are impressive, but my attention is mainly on Gemini because of its potential for significant breakthroughs in AI.

The Gemini app aims to be a truly universal AI assistant, integrating various capabilities to enhance user experience across all Google products.

Gemini 1.5 is notable for being a true mixture of experts, activating specific paths for different data types, making it more energy efficient compared to models that use modular approaches.