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Google NotebookLM: AI 기반 노트앱 정식 출시

SOYUL  —  2026.01.22  —  3 MIN

무슨 발표인가

  • Project Tailwind를 NotebookLM으로 명칭 변경
  • 여러 소스 정보 종합해 인사이트 추출
  • 언어 모델 중심 재설계된 노트 앱

미국 소수 사용자 우선 공개

원문 (영어)

At Google I/O this year we introduced a number of AI-first experiments in development, including Project Tailwind — a new kind of notebook designed to help people learn faster. Today we’re beginning to roll out Project Tailwind with its new name: NotebookLM , an experimental offering from Google Labs.

It’s our endeavor to reimagine what notetaking software might look like if you designed it from scratch knowing that you would have a powerful language model at its core: hence the LM. It will be immediately available to a small group of users in the U.

S. as we continue to refine the product and make it more helpful. It’s hard to go from information to insight We know people are struggling with the rapid growth of information — it's everywhere and it’s overwhelming. As we've been talking with students, professors and knowledge workers, one of the biggest challenges is synthesizing facts and ideas from multiple sources.

You often have the sources you want, but it's time consuming to make the connections. We started to explore what we could build that would help people make connections faster in the midst of all this data, especially using sources they care most about.

원문: Google Blog (Technology/AI) — "Introducing NotebookLM" (2026-01-22) 공식 원문: https://blog.google/innovation-and-ai/technology/ai/notebooklm-google-ai/

Google Blog (Technology/AI)
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Living/Ingredient Notes

Google NotebookLM: AI 기반 노트앱 정식 출시

SOYUL — 2026.01.22 — 3 MIN

무슨 발표인가

미국 소수 사용자 우선 공개

원문 (영어)

At Google I/O this year we introduced a number of AI-first experiments in development, including Project Tailwind — a new kind of notebook designed to help people learn faster. Today we’re beginning to roll out Project Tailwind with its new name: NotebookLM , an experimental offering from Google Labs.

It’s our endeavor to reimagine what notetaking software might look like if you designed it from scratch knowing that you would have a powerful language model at its core: hence the LM. It will be immediately available to a small group of users in the U.

S. as we continue to refine the product and make it more helpful. It’s hard to go from information to insight We know people are struggling with the rapid growth of information — it's everywhere and it’s overwhelming. As we've been talking with students, professors and knowledge workers, one of the biggest challenges is synthesizing facts and ideas from multiple sources.

You often have the sources you want, but it's time consuming to make the connections. We started to explore what we could build that would help people make connections faster in the midst of all this data, especially using sources they care most about.

원문: Google Blog (Technology/AI) — "Introducing NotebookLM" (2026-01-22) 공식 원문: https://blog.google/innovation-and-ai/technology/ai/notebooklm-google-ai/

Google Blog (Technology/AI)
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