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

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

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.

We're making Gemini the most personal, proactive, and powerful AI assistant, allowing it to learn user preferences and provide tailored responses.

We're introducing a new mode called Deep Think for Gemini 2.5 Pro, which enhances model performance by allowing more time for reasoning and thinking.

The AI model Gemini is impressive, but its capabilities are often obscured by a frustrating user interface that doesn't maximize its potential.

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.

Gemini was built to be natively multimodal, meaning it can take in images, audio, video, and more, which is essential for progressing towards Artificial General Intelligence (AGI).

Google's recent advancements in AI, particularly with their Gemini model, demonstrate their commitment to reclaiming leadership in the AI space after OpenAI's initial success.