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One of my best use cases for Google NotebookLM is using it to break down AI research papers. I asked it to create a video overview of DeepSeek's new mHC (mHC: Manifold-Constrained Hyper-Connections) paper, and it made the concepts incredibly simple to understand.

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AshutoshShrivastava

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52,360 просмотров • 7 месяцев назад •via X (Twitter)

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Google NotebookLM is absolutely insane, easily the best AI product out there, and it is free to use. The new Mindmap feature makes learning so easy. You can use it to understand your codebase. Just convert your codebase to a single file and try it out.
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The NotebookLM Cinematic Video is incredible. I asked it to research WebMCP and make a Notebook. Then asked for a video. Wow.
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🔹STORM🔹 Stanford University’s free, public app automates comprehensive research and report generation using AI to create Wikipedia-style articles with citations from web sources. STORM is incredible. I asked it to write a research paper about the use of AI in DNA analysis and predicting genetic traits - got a comprehensive article with citations. It takes about 3 minutes and you can download the PDF:
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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.
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🤯 My mind is genuinely blown by Google's NotebookLM new Audio Overview feature. It creates a podcast for a document. Here's a podcast for our paper "On the Category of Religion" that @willismonroe created. I genuinely would not have known it was AI...
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This is bonkers. Google NotebookLM is redefining learning. It turns research papers, articles, videos into AI podcasts. And now you can "Call In" to ask AI hosts questions! 5 wild examples: 1. AI hosts discuss Elon Musk's recommendation of direct democracy for Mars
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When the NotebookLM team was building video overviews, they wanted to combine the best of Gemini's multimodality into one feature. The AI host "sees" your sources, processes the information, and then is able to discuss what is truly unique about them. For example, we uploaded one of Google DeepMind's blog posts and created a video overview to help distill the complex scientific information into a visually engaging summary, check it out!
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