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To use Tailwind — which is available through Labs, Google’s refreshed hub for experimental products — users pick files from Google Drive. Tailwind then creates a private AI model with expertise in that information, along with a personalized interface designed to help sift through the notes and docs. The Verge’s James Vincent points out that it’s not a new idea. Note-taking app Notion recently launched an AI component to automatically write blog posts, job descriptions and more in a user’s style. Elsewhere, the open source community is training leaked language models on the contents of their Google Drive. But Tailwind also serves as a demo for PaLM 2, the successor to Google’s PaLM large language model for understanding and generating multilingual text. Many of Tailwind’s features are powered by PaLM 2 through a newly-launched API. Tailwind can generate a study guide, for example, highlighting key concepts and suggesting questions or even creating a reading comprehension quiz. The tool can also answer natural language questions about the notes, citing all of its sources within the docs. Who’s Tailwind for? That’s a good question. Google itself doesn’t appear to know — during a demo onstage, Josh Woodward, a senior director of product management at Google, rattled off a list of potential groups, including college students, writers researching an article, analysts going through earnings calls and lawyers reviewing a case. Hence the preview, it seems. Tailwind in its current form might not become a fully-fledged product — Woodward said it came together in a matter of weeks — but you can be sure Google intends to watch how it’s used to inform its future projects. The waitlist for “Project Tailwind” is open now to U.S.-based users. With Project Tailwind, Google aims to make note-taking smarter by Kyle Wiggers originally published on TechCrunch


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