Company: GOOGL
Filing Date: 2025-02-05
Form Type: 10-K
Source: 0001652044-25-000014
Chunk: 1

Company: Alphabet Inc.
Filing Date: 2025-02-05
Form: 10-K
Item: Item 1
Chunk 1
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 took a significant step on our journey to make AI more helpful for everyone with the introduction of Gemini, our natively multimodal AI model. In 2024, we launched Gemini 2.0, our most capable model yet. Gemini can generalize and seamlessly understand, operate across, and combine different types of information including text, code, audio, image, and video. Gemini is powering AI features across our products and services that are helping people everyday. Today, all seven of our two billion-user products — Android, Chrome, Gmail, Maps, Play Store, Search, and YouTube — are using Gemini.

Our Google Cloud products, including Google Cloud Platform and Google Workspace, help organizations stay at the forefront of innovation with our AI-optimized infrastructure, AI development platform, world-class models, as well as assistive agents and applications.

We believe AI has the potential to solve important societal, scientific, and engineering challenges. For example, in 2020, Google DeepMind’s AlphaFold system solved a 50-year-old protein folding challenge, and in 2024, we introduced AlphaFold 3, built on the previous models, to predict the structure and interactions of all the molecules in life's processes. 

We are focused on transforming our products to provide the most helpful tools to our users and customers as we deliver on our mission to organize the world’s information and make it universally accessible and useful. 

Deliver the Most Advanced, Safe, and Responsible AI

We aim to build the most advanced, safe, and responsible AI through a full stack of robust AI-optimized infrastructure, including data centers, chips, and a global fiber network; world class research teams; and a broad global reach through products and platforms that touch billions of people and customers around the world.

We are driving efficiencies in our data centers, while making significant hardware and model improvements. For example, since we started serving AI Overviews to our users, we have significantly lowered machine costs and latency through hardware, engineering, and technical breakthroughs. Our AI-optimized infrastructure allows us to use, and offer our customers, a range of AI accelerator options, including our own custom-built Tensor Processing Units (TPUs). 

Our teams across Alphabet leverage Gemini, as well as other AI models we have previously developed and announced, to deliver the best product and service experiences for our users, advertisers, partners, customers, and developers. We are using Gemini 2.0 in new research prototypes, including Project Astra, which explores the future capabilities of a universal AI assistant and Project Mar