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This is freaking cool NotebookLM just launched its “Deep Research” mode - which can automatically browse hundreds of websites, synthesize the findings into a structured report, and include an annotated list of sources. This means that instead of piecemeal searches and manual organization, users can now let the tool... show more

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82,801 次观看 • 7 个月前 •via X (Twitter)

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The updates keep coming— you can now discover new sources in the NotebookLM mobile app! Whether you're expanding an existing notebook or deep diving into a new topic, just type what you want to learn about and NotebookLM will browse the web for the most relevant results.

The updates keep coming— you can now discover new sources in the NotebookLM mobile app! Whether you're expanding an existing notebook or deep diving into a new topic, just type what you want to learn about and NotebookLM will browse the web for the most relevant results.

NotebookLM

119,123 次观看 • 8 个月前

NotebookLM 🤝 Google Gemini You can now upload Notebooks directly into the GeminiApp. This is great for: — Combining multiple Notebooks — Generating images or apps inspired from your Notebooks — Building on top of existing Notebooks with online research — And more! Try it today!

NotebookLM 🤝 Google Gemini You can now upload Notebooks directly into the GeminiApp. This is great for: — Combining multiple Notebooks — Generating images or apps inspired from your Notebooks — Building on top of existing Notebooks with online research — And more! Try it today!

NotebookLM

1,681,858 次观看 • 6 个月前

NotebookLM is the most powerful automation engine hidden in plain sight. No more wasting hours on manual research. No more hiring expensive designers for slide decks. Here’s the new play 👇 → Deep Research: Scan hundreds of websites for a single report instantly. → Video Overviews: Turn any PDF into a narrated video in minutes. → Smart Tables: Extract structured data from messy transcripts automatically. → Visual Studio: Auto-generate infographics and professional slides. → Knowledge Hub: Build a custom AI expert trained on your own documents. Save this post. Google is shipping updates faster than you can keep up. Want the full guide? DM me.

NotebookLM is the most powerful automation engine hidden in plain sight. No more wasting hours on manual research. No more hiring expensive designers for slide decks. Here’s the new play 👇 → Deep Research: Scan hundreds of websites for a single report instantly. → Video Overviews: Turn any PDF into a narrated video in minutes. → Smart Tables: Extract structured data from messy transcripts automatically. → Visual Studio: Auto-generate infographics and professional slides. → Knowledge Hub: Build a custom AI expert trained on your own documents. Save this post. Google is shipping updates faster than you can keep up. Want the full guide? DM me.

Julian Goldie SEO

32,335 次观看 • 6 个月前

NotebookLM: Do a deep research report and make a video where a consultant gives Sauron a strategy for actually winning the War of the Ring: "All you need to do is sign off to put a simple door on your volcano" The new video generation feature for NotebookLM is very impressive.

NotebookLM: Do a deep research report and make a video where a consultant gives Sauron a strategy for actually winning the War of the Ring: "All you need to do is sign off to put a simple door on your volcano" The new video generation feature for NotebookLM is very impressive.

Ethan Mollick

243,877 次观看 • 4 个月前

NotebookLM is great for research. Claude’s browser agent is great for clicking. Combine them and you get a “researcher + executor” that works while you do something else. → Install Claude for Chrome and enable browser use. → Set “Ask before acting” for safety. → Prompt: “Open NotebookLM → create notebook → add sources → build a data table → export to Google Sheets → generate an audio overview.” → Let it run in the background while you work. This turns competitor research into a repeatable SOP instead of a one-time grind. Save this video, you’ll stop doing busywork. Want the SOP? DM me. 💬

NotebookLM is great for research. Claude’s browser agent is great for clicking. Combine them and you get a “researcher + executor” that works while you do something else. → Install Claude for Chrome and enable browser use. → Set “Ask before acting” for safety. → Prompt: “Open NotebookLM → create notebook → add sources → build a data table → export to Google Sheets → generate an audio overview.” → Let it run in the background while you work. This turns competitor research into a repeatable SOP instead of a one-time grind. Save this video, you’ll stop doing busywork. Want the SOP? DM me. 💬

Julian Goldie SEO

15,895 次观看 • 6 个月前

Finally: An agentic research companion You can now start a notebook by just entering your loose ideas and questions into the chat. NotebookLM will then guide you through building out your repository, even finding and adding (with your permission!) relevant sources from the web. As always your feedback is everything to us. Try it out and let us know what you think 💖

Finally: An agentic research companion You can now start a notebook by just entering your loose ideas and questions into the chat. NotebookLM will then guide you through building out your repository, even finding and adding (with your permission!) relevant sources from the web. As always your feedback is everything to us. Try it out and let us know what you think 💖

NotebookLM

28,469 次观看 • 1 个月前

Claude Code cannot read 300 files at once. So someone built a system that lets it control NotebookLM from the terminal instead. The results are wild. Here is the full workflow nobody is talking about: The Setup → Claude Code connects to NotebookLM via a command line interface → Claude searches YouTube, finds relevant videos, uploads them as sources automatically → NotebookLM processes up to 300 sources simultaneously and returns cited, grounded answers → Everything syncs back into your Obsidian vault with passage-level citations you can click to verify Why This Changes Research Forever → No more 20 browser tabs you never close → No more copy-pasting outputs into random notes → No more hallucinated answers with no sources to back them up → 60% of citations verified as strong matches in accuracy audits - answers are grounded in real data What Claude Can Do From the Terminal → Search YouTube for relevant videos on any topic and rank by relevance → Create a new NotebookLM notebook and add 20 sources in parallel automatically → Ask questions and export cited answers directly into Obsidian with wikilinks → Set custom personas per notebook - concise, no filler, no preamble → Generate audio overviews and save them as MP3 files into your vault → Build mind maps, flashcard decks, and research dashboards from your sources → Search arXiv for academic papers and feed them directly into NotebookLM → Upload competitor blog posts, podcast episodes, PDFs, and your own vault notes The Obsidian Output → Every answer arrives with clickable citations that link to the exact passage in the source video or article → Graph view shows connections between all 20 sources and the topics they share → Q&A log tracks every question asked and the grounded response received → Source dashboard shows citation frequency, topics extracted, and which questions each source answered Use Cases Worth Building Today → Academic research with arXiv papers, full citation traceability → Competitor analysis from their YouTube channels and blog posts → Company knowledge base for onboarding, new employees ask NotebookLM instead of interrupting teammates → Podcast research, feed 4-hour Lex Fridman episodes and ask what's new in AI this week → Personal second brain, 300 daily notes uploaded and queryable in one notebook Before this system existed you needed 20 tabs, hours of manual reading, and no guarantee the answers were real. Now you type one prompt in the terminal and Claude does all of it for you. The research stack of 2026 is not a browser. It is a terminal connected to everything

Claude Code cannot read 300 files at once. So someone built a system that lets it control NotebookLM from the terminal instead. The results are wild. Here is the full workflow nobody is talking about: The Setup → Claude Code connects to NotebookLM via a command line interface → Claude searches YouTube, finds relevant videos, uploads them as sources automatically → NotebookLM processes up to 300 sources simultaneously and returns cited, grounded answers → Everything syncs back into your Obsidian vault with passage-level citations you can click to verify Why This Changes Research Forever → No more 20 browser tabs you never close → No more copy-pasting outputs into random notes → No more hallucinated answers with no sources to back them up → 60% of citations verified as strong matches in accuracy audits - answers are grounded in real data What Claude Can Do From the Terminal → Search YouTube for relevant videos on any topic and rank by relevance → Create a new NotebookLM notebook and add 20 sources in parallel automatically → Ask questions and export cited answers directly into Obsidian with wikilinks → Set custom personas per notebook - concise, no filler, no preamble → Generate audio overviews and save them as MP3 files into your vault → Build mind maps, flashcard decks, and research dashboards from your sources → Search arXiv for academic papers and feed them directly into NotebookLM → Upload competitor blog posts, podcast episodes, PDFs, and your own vault notes The Obsidian Output → Every answer arrives with clickable citations that link to the exact passage in the source video or article → Graph view shows connections between all 20 sources and the topics they share → Q&A log tracks every question asked and the grounded response received → Source dashboard shows citation frequency, topics extracted, and which questions each source answered Use Cases Worth Building Today → Academic research with arXiv papers, full citation traceability → Competitor analysis from their YouTube channels and blog posts → Company knowledge base for onboarding, new employees ask NotebookLM instead of interrupting teammates → Podcast research, feed 4-hour Lex Fridman episodes and ask what's new in AI this week → Personal second brain, 300 daily notes uploaded and queryable in one notebook Before this system existed you needed 20 tabs, hours of manual reading, and no guarantee the answers were real. Now you type one prompt in the terminal and Claude does all of it for you. The research stack of 2026 is not a browser. It is a terminal connected to everything

Dami-Defi

252,693 次观看 • 1 个月前

We spent all night wondering what you were "actually" waiting for, and we finally have it: Images as sources!!! Whether it's a photo of handwritten notes, a screenshot of a textbook or graphs on a web page, NotebookLM can synthesize the information and produce outputs from it.

We spent all night wondering what you were "actually" waiting for, and we finally have it: Images as sources!!! Whether it's a photo of handwritten notes, a screenshot of a textbook or graphs on a web page, NotebookLM can synthesize the information and produce outputs from it.

NotebookLM

982,997 次观看 • 7 个月前

One of the most popular uses for NotebookLM is language learning. From audio overviews to our most recent flashcards and quizzes launch— just upload a vocabulary list, and you'll be multilingual in no time. Check out this public notebook we made for learning Spanish ⬇️

One of the most popular uses for NotebookLM is language learning. From audio overviews to our most recent flashcards and quizzes launch— just upload a vocabulary list, and you'll be multilingual in no time. Check out this public notebook we made for learning Spanish ⬇️

NotebookLM

191,655 次观看 • 9 个月前

These NEW NotebookLM Tricks are INSANE! 🤯 Google’s NotebookLM just became the ultimate content engine. No more hours wasted on manual research. No more fighting with slide deck formatting. Here’s the NotebookLM play 👇 → Turn complex PDFs into narrated video walkthroughs. → Build full, editable slide decks from simple prompts. → Use Deep Research to synthesize web sources instantly. → Assign custom AI personas to act as your strategist. → Convert internal docs into instant team training guides. Stop doing the heavy lifting manually. Let AI turn your files into high-value assets. Want the full guide? DM me.

These NEW NotebookLM Tricks are INSANE! 🤯 Google’s NotebookLM just became the ultimate content engine. No more hours wasted on manual research. No more fighting with slide deck formatting. Here’s the NotebookLM play 👇 → Turn complex PDFs into narrated video walkthroughs. → Build full, editable slide decks from simple prompts. → Use Deep Research to synthesize web sources instantly. → Assign custom AI personas to act as your strategist. → Convert internal docs into instant team training guides. Stop doing the heavy lifting manually. Let AI turn your files into high-value assets. Want the full guide? DM me.

Julian Goldie SEO

15,365 次观看 • 4 个月前

NotebookLM just ended manual AI paper reading. They’ve released a new version for arXiv papers and it’s insane. It doesn’t just summarize papers. - It studies thousands of related sources - Connects the research for you - Explains everything back in audio like a real mentor And yes… it’s completely free.

NotebookLM just ended manual AI paper reading. They’ve released a new version for arXiv papers and it’s insane. It doesn’t just summarize papers. - It studies thousands of related sources - Connects the research for you - Explains everything back in audio like a real mentor And yes… it’s completely free.

Eyisha Zyer

223,897 次观看 • 8 个月前

NotebookLM has always been grounded in your sources. However, sometimes we all need a little more info. Now NBLM can help you discover new sources to expand your research. Just type in what you want to learn about and we'll scour the web for the best the internet has to offer 🕵️‍♀️

NotebookLM has always been grounded in your sources. However, sometimes we all need a little more info. Now NBLM can help you discover new sources to expand your research. Just type in what you want to learn about and we'll scour the web for the best the internet has to offer 🕵️‍♀️

NotebookLM

267,122 次观看 • 1 年前

The AI power trio of NotebookLM, Perplexity, and Gemini 3 just killed manual research. No more spending hours digging through articles. No more manually building slide decks from scratch. Here’s the new play 👇 → Perplexity pulls real-time facts with verified source citations. → NotebookLM processes 1M tokens to synthesize massive data. → Gemini 3 adds multimodal reasoning for text, audio, and video. → Auto-generate full presentations and video overviews instantly. → Transform days of research into a 20-minute automated system. Save this workflow. Google is shipping these AI updates quietly and fast. Want the full guide? DM me.

The AI power trio of NotebookLM, Perplexity, and Gemini 3 just killed manual research. No more spending hours digging through articles. No more manually building slide decks from scratch. Here’s the new play 👇 → Perplexity pulls real-time facts with verified source citations. → NotebookLM processes 1M tokens to synthesize massive data. → Gemini 3 adds multimodal reasoning for text, audio, and video. → Auto-generate full presentations and video overviews instantly. → Transform days of research into a 20-minute automated system. Save this workflow. Google is shipping these AI updates quietly and fast. Want the full guide? DM me.

Julian Goldie SEO

29,354 次观看 • 6 个月前

NotebookLM just got its biggest upgrade since launch. Now it runs directly inside Gemini 3. Here is the Goldie Triple Integration Framework. → Load your sources into NotebookLM → Open Gemini and attach the notebook → Use Dynamic Views to create a plan or mini app → Generate Data Tables → Export tables straight into Google Sheets → Turn it into client deliverables and automated workflows Save this video, you’ll turn messy research into a system. Want the SOP? DM me. 💬

NotebookLM just got its biggest upgrade since launch. Now it runs directly inside Gemini 3. Here is the Goldie Triple Integration Framework. → Load your sources into NotebookLM → Open Gemini and attach the notebook → Use Dynamic Views to create a plan or mini app → Generate Data Tables → Export tables straight into Google Sheets → Turn it into client deliverables and automated workflows Save this video, you’ll turn messy research into a system. Want the SOP? DM me. 💬

Julian Goldie SEO

64,360 次观看 • 6 个月前

Deep Research is the most fun I've had with an AI tool since NotebookLM was launched! You can't imagine how incredible this agent feels for someone like me that loves doing research. I took it for a spin here and added my thoughts: I am impressed by the reasoning capabilities of the o3 model which operated under the hood. This is RL at its best once again! Synthesizing large amounts of information from different sources is no easy feat. I can tell you all about it from my experience building and scaling RAG systems. I have so many ways I plan to use this. More on this soon.

Deep Research is the most fun I've had with an AI tool since NotebookLM was launched! You can't imagine how incredible this agent feels for someone like me that loves doing research. I took it for a spin here and added my thoughts: I am impressed by the reasoning capabilities of the o3 model which operated under the hood. This is RL at its best once again! Synthesizing large amounts of information from different sources is no easy feat. I can tell you all about it from my experience building and scaling RAG systems. I have so many ways I plan to use this. More on this soon.

elvis

26,459 次观看 • 1 年前

The NotebookLM Cinematic Video is incredible. I asked it to research WebMCP and make a Notebook. Then asked for a video. Wow.

The NotebookLM Cinematic Video is incredible. I asked it to research WebMCP and make a Notebook. Then asked for a video. Wow.

Marie Haynes

12,143 次观看 • 4 个月前

We're partnering with Google Research to kick off a new series of Featured Notebooks exploring topics ranging from health to science to (of course) AI. Starting with "How do scientists link genetics to health" this notebook explores some of what we've learned over the past 10 years of genomic research:

We're partnering with Google Research to kick off a new series of Featured Notebooks exploring topics ranging from health to science to (of course) AI. Starting with "How do scientists link genetics to health" this notebook explores some of what we've learned over the past 10 years of genomic research:

NotebookLM

96,224 次观看 • 8 个月前

Google dropped NotebookLM recently. AI tool that can generate podcasts of two speakers talking about the contents from various sources like research papers, articles, and more. Absolutely bonkers. 100% AI 🤯 10 examples (and how to try): 1. AI Podcast about OpenAI o1 drop

Google dropped NotebookLM recently. AI tool that can generate podcasts of two speakers talking about the contents from various sources like research papers, articles, and more. Absolutely bonkers. 100% AI 🤯 10 examples (and how to try): 1. AI Podcast about OpenAI o1 drop

Min Choi

388,727 次观看 • 1 年前

NotebookLM is one of the most delightful, inspiring, and viral AI products out there right now, and I got a chance to chat with the PM behind the product, Raiza Martin (@raiza_abubakar). In our conversation, we cover: 🔸 The origin story of NotebookLM 🔸 The future road map for NotebookLM 🔸 How Google Labs operates differently from the rest of Google 🔸 The development of the “Audio Overviews” feature 🔸 Key metrics and growth of NotebookLM 🔸 Stories about collaborating with author Steven Johnson 🔸 Navigating potential misuse of AI technology 🔸 More Listen now 👇 - YouTube: - Spotify: - Apple: Raiza is a senior product manager for AI at Google Labs for AI at Google Labs, where she leads the team behind NotebookLM, an AI-powered research tool that includes a mind-blowing podcast-on-demand feature called “Audio Overviews.” NotebookLM started as a 20% project and has grown into a product that’s spreading across social media and has a Discord server with over 60,000 users. Raiza previously worked on AI Test Kitchen and has a background in startups, payments, and ads. Thank you to our wonderful sponsors for supporting the podcast: 🏆 Explo — Embed customer-facing analytics in your product: 🏆 Sprig — Build products for people, not data points: 🏆 Sidebar — Accelerate your career by surrounding yourself with extraordinary peers: Some key takeaways: 1. Embrace a startup mentality within large organizations: Google Labs operates with fewer processes and more agility than typical Google teams. This allows them to move faster and iterate quickly, much like a startup. 2. Often, powerful technology is already available; the magic lies in how you interact with it. For instance, by integrating powerful audio models with existing LLMs, NotebookLM created an innovative way for users to interact with content. Look for unique applications of the tools you already have. 3. Don’t wait for a perfect launch. Start with a working version of your product and use user feedback to iterate and improve. This approach can reveal unexpected insights and user preferences, helping you shape the final product.

NotebookLM is one of the most delightful, inspiring, and viral AI products out there right now, and I got a chance to chat with the PM behind the product, Raiza Martin (@raiza_abubakar). In our conversation, we cover: 🔸 The origin story of NotebookLM 🔸 The future road map for NotebookLM 🔸 How Google Labs operates differently from the rest of Google 🔸 The development of the “Audio Overviews” feature 🔸 Key metrics and growth of NotebookLM 🔸 Stories about collaborating with author Steven Johnson 🔸 Navigating potential misuse of AI technology 🔸 More Listen now 👇 - YouTube: - Spotify: - Apple: Raiza is a senior product manager for AI at Google Labs for AI at Google Labs, where she leads the team behind NotebookLM, an AI-powered research tool that includes a mind-blowing podcast-on-demand feature called “Audio Overviews.” NotebookLM started as a 20% project and has grown into a product that’s spreading across social media and has a Discord server with over 60,000 users. Raiza previously worked on AI Test Kitchen and has a background in startups, payments, and ads. Thank you to our wonderful sponsors for supporting the podcast: 🏆 Explo — Embed customer-facing analytics in your product: 🏆 Sprig — Build products for people, not data points: 🏆 Sidebar — Accelerate your career by surrounding yourself with extraordinary peers: Some key takeaways: 1. Embrace a startup mentality within large organizations: Google Labs operates with fewer processes and more agility than typical Google teams. This allows them to move faster and iterate quickly, much like a startup. 2. Often, powerful technology is already available; the magic lies in how you interact with it. For instance, by integrating powerful audio models with existing LLMs, NotebookLM created an innovative way for users to interact with content. Look for unique applications of the tools you already have. 3. Don’t wait for a perfect launch. Start with a working version of your product and use user feedback to iterate and improve. This approach can reveal unexpected insights and user preferences, helping you shape the final product.

Lenny Rachitsky

75,439 次观看 • 1 年前