The new “window.ai” API will blow your mind.

🌈 Abstract

The article discusses Google's introduction of an in-built Artificial Intelligence model called Gemini Nano in the Google Chrome browser. It explores the potential benefits and challenges of this new feature for startups and companies that rely on AI infrastructure.

🙋 Q&A

[01] Google's Gemini Nano AI Model in Chrome

1. What is the Gemini Nano AI model that Google has introduced in Chrome?

• Google has introduced an in-built Artificial Intelligence model called Gemini Nano directly into the Google Chrome browser.
• This model can be downloaded and used locally on the user's computer without requiring an internet connection.
• The Gemini Nano model can be accessed through the window.ai API in the browser.

2. What are the potential benefits of having an AI model built into the browser?

• It could help startups and companies save costs on using external AI infrastructure and APIs like OpenAI's, which can be expensive.
• Developers would only need to comply with the browser's terms and learn the technology to use the built-in AI model, rather than relying on third-party providers.
• This could allow startups and indie developers to focus more on building their products and serving their customers, rather than worrying about the costs of AI infrastructure.

3. How can developers access and use the Gemini Nano AI model in Chrome?

• Developers can download the Chrome Developer version, enable certain flags, and then download the Gemini Nano model using Google Chrome's components library.
• The model can then be used directly through the window.ai API, without requiring an internet connection.
• The article provides a link to a Notion document that outlines the steps to set up and use the Gemini Nano model.

4. What are the limitations and challenges of the Gemini Nano AI model?

• The Gemini Nano model is an older model and may not be able to perform realistic tasks or answer questions accurately.
• It is not as capable or performance-oriented as more advanced AI models like ChatGPT.
• However, the article suggests that this is a step forward and that developers can explore ways to scale and improve the AI model over time.

[02] Potential Impact and Future Developments

1. How does the introduction of the Gemini Nano AI model in Chrome impact the AI market and startups?

• The article suggests that Google's move to introduce an in-built AI model in Chrome could help startups and companies reduce their reliance on expensive third-party AI infrastructure and APIs.
• This could potentially level the playing field and allow more startups and indie developers to access AI capabilities without incurring significant costs.

2. What are the potential future developments and implications of this new feature?

• The article notes that there is no official documentation from Google about the new API and model, but it represents a "new beginning" for developers to explore and build upon.
• The article suggests that developers will be interested in seeing what they can create using this new feature and how it can be scaled and improved over time.