Загрузка видео...

Не удалось загрузить видео

Возникла проблема при загрузке этого видео. Это может быть связано с временными проблемами сети или видео может быть недоступно.

На главную

$CRWV The CoreWeave Canary My first cut at using NotebookLM (new product launched by Google). Used a single Jag research note (pdf) that I issued to clients last week, and asked AI to generate a video without diving into deep thinking. Intentionally kept very basic. Result 👇

JaguarAnalytics

72,866 subscribers

62,614 просмотров • 10 месяцев назад •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

Комментарии: 0

Нет доступных комментариев

Здесь появятся комментарии из оригинального поста

Похожие видео

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.

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.

AshutoshShrivastava

52,360 просмотров • 9 месяцев назад

Would you want to watch more?? I made a fully AI-generated podcast about AI using AI hosts 🤓 I find it surprisingly entertaining! Here's how I made it: 1. Generate the audio. I used Google AI's Notebook LM, uploaded the OpenAI o1 research paper, and then pressed a button. 2. Generate the images. I used Midjourney to generate images for the two podcast hosts. Nothing fancy here: "a [female/male] podcast host, looking at the camera". 3. Generate the video. I brought the images to life using Infinity AI (now Lemon Slice 🍋). I had to cut up the audio into separate speakers. 4. Add graphics. I added B-roll and graphics in CapCut. This was human labor, aka me, but I could have used AI tools to do it instead.

Would you want to watch more?? I made a fully AI-generated podcast about AI using AI hosts 🤓 I find it surprisingly entertaining! Here's how I made it: 1. Generate the audio. I used Google AI's Notebook LM, uploaded the OpenAI o1 research paper, and then pressed a button. 2. Generate the images. I used Midjourney to generate images for the two podcast hosts. Nothing fancy here: "a [female/male] podcast host, looking at the camera". 3. Generate the video. I brought the images to life using Infinity AI (now Lemon Slice 🍋). I had to cut up the audio into separate speakers. 4. Add graphics. I added B-roll and graphics in CapCut. This was human labor, aka me, but I could have used AI tools to do it instead.

Lina Colucci

13,100 просмотров • 2 лет назад

NotebookLM just became a custom AI tool builder. Most people are still using it like a note app. Here’s the new workflow: → Upload your docs first (PDFs, Drive links, Sheets, Word). → Set a 10,000-character persona (rules, formats, constraints). → Ask for data tables → export straight to Google Sheets. → Run Deep Research → plan + web crawl + cited report. → Generate mind maps to see how ideas connect. Save this video, you’ll build your first “AI specialist” in 10 minutes. Want the SOP? DM me. 💬

NotebookLM just became a custom AI tool builder. Most people are still using it like a note app. Here’s the new workflow: → Upload your docs first (PDFs, Drive links, Sheets, Word). → Set a 10,000-character persona (rules, formats, constraints). → Ask for data tables → export straight to Google Sheets. → Run Deep Research → plan + web crawl + cited report. → Generate mind maps to see how ideas connect. Save this video, you’ll build your first “AI specialist” in 10 minutes. Want the SOP? DM me. 💬

Julian Goldie SEO

18,534 просмотров • 8 месяцев назад

I asked Kling 3.0 to create a short film from just a single image... and the result blew my mind! here's how I made this video using Multi-Shot 👇

I asked Kling 3.0 to create a short film from just a single image... and the result blew my mind! here's how I made this video using Multi-Shot 👇

TechHalla

77,818 просмотров • 7 месяцев назад

I just built a $DOG video game using AI 🤯 I asked ChatGPT 5.5 Thinking to design the gameplay and create the visual assets then fed them into Codex 5.5 Extra High and this was the result!

I just built a $DOG video game using AI 🤯 I asked ChatGPT 5.5 Thinking to design the gameplay and create the visual assets then fed them into Codex 5.5 Extra High and this was the result!

Leonidas 🧡 $DOG

48,490 просмотров • 5 месяцев назад

Really impressed with the new video feature in @NotebookLM. I asked for a history of Disneyland. It kicked off a deep search, pulled 58 sources, used them to write a script, and generated a 5 minute video with a mix of real and AI visuals. How it works + a clip 👇

Really impressed with the new video feature in @NotebookLM. I asked for a history of Disneyland. It kicked off a deep search, pulled 58 sources, used them to write a script, and generated a 5 minute video with a mix of real and AI visuals. How it works + a clip 👇

Justine Moore

60,082 просмотров • 7 месяцев назад

At #GoogleIO, Google launched a pile of product under a pile of product names: Antigravity, Gemini, AI Studio, Flow, Omni, Stitch, Pomelli...and that's not even half of it. I recap my favorite launches for eng + designers, and try (and sometimes fail!) to try the new stuff 👇

At #GoogleIO, Google launched a pile of product under a pile of product names: Antigravity, Gemini, AI Studio, Flow, Omni, Stitch, Pomelli...and that's not even half of it. I recap my favorite launches for eng + designers, and try (and sometimes fail!) to try the new stuff 👇

claire vo 🖤

18,638 просмотров • 4 месяцев назад

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

33,841 просмотров • 9 месяцев назад

It’s safe to say that creating videos using a Character Sheet is much better than using image-to-video. It’s very flexible and seamless. I’ve been using shot by shot image to video model before, but I just tried out the Character Sheet method this morning. I used single image to generate 9 videos. I created this using Flow AI, the free version, to be precise. Enjoy Episode 5: "Dogs Are Buried"

It’s safe to say that creating videos using a Character Sheet is much better than using image-to-video. It’s very flexible and seamless. I’ve been using shot by shot image to video model before, but I just tried out the Character Sheet method this morning. I used single image to generate 9 videos. I created this using Flow AI, the free version, to be precise. Enjoy Episode 5: "Dogs Are Buried"

Olatunde AI

51,318 просмотров • 29 дней назад

$LUNR Intuitive Machines -- I usually reserve notes like this exclusively for Jag clients, but I'm in good mood, so it's your lucky day 😀 Extensive research here. Conclusion: I don't own enough shares! Jag research: Slide deck:

$LUNR Intuitive Machines -- I usually reserve notes like this exclusively for Jag clients, but I'm in good mood, so it's your lucky day 😀 Extensive research here. Conclusion: I don't own enough shares! Jag research: Slide deck:

JaguarAnalytics

32,048 просмотров • 8 месяцев назад

Turned a simple product page into a polished video ad using Pollo AI—and it took almost zero effort on my end. All I did was paste the product link into Pollo Agent, select "URL to Video Ads," choose my format, and let the AI handle the heavy lifting. No manual editing, no complex setup, just a few clicks from start to finish. Here’s a breakdown of the process, along with the final result 👇

Turned a simple product page into a polished video ad using Pollo AI—and it took almost zero effort on my end. All I did was paste the product link into Pollo Agent, select "URL to Video Ads," choose my format, and let the AI handle the heavy lifting. No manual editing, no complex setup, just a few clicks from start to finish. Here’s a breakdown of the process, along with the final result 👇

Anna Ai

14,326 просмотров • 1 месяц назад

I used NotebookLM to study Google new breakthrough with TurboQuant and used Video overview to study the subject, best learning tool in the world at the moment. TurboQuant: Redefining AI Efficiency with Extreme Compression Google Research has introduced TurboQuant, a suite of advanced algorithms designed to dramatically compress the data used by large language models and search engines. By utilizing specialized techniques like PolarQuant and Quantized Johnson-Lindenstrauss, the system transforms complex information into a compact "shorthand" that requires significantly less memory. This innovation specifically addresses the key-value cache bottleneck, allowing AI models to process massive amounts of text faster without losing accuracy. Testing demonstrates that these methods can shrink data size by six times while actually increasing operational speed on high-end hardware. Ultimately, these theoretical advancements enable more efficient semantic search and high-performance AI applications at a global scale.

I used NotebookLM to study Google new breakthrough with TurboQuant and used Video overview to study the subject, best learning tool in the world at the moment. TurboQuant: Redefining AI Efficiency with Extreme Compression Google Research has introduced TurboQuant, a suite of advanced algorithms designed to dramatically compress the data used by large language models and search engines. By utilizing specialized techniques like PolarQuant and Quantized Johnson-Lindenstrauss, the system transforms complex information into a compact "shorthand" that requires significantly less memory. This innovation specifically addresses the key-value cache bottleneck, allowing AI models to process massive amounts of text faster without losing accuracy. Testing demonstrates that these methods can shrink data size by six times while actually increasing operational speed on high-end hardware. Ultimately, these theoretical advancements enable more efficient semantic search and high-performance AI applications at a global scale.

Emily

14,648 просмотров • 6 месяцев назад

Google's AI strategy is intriguing. They are building AI tools that target real use-cases. I am finding myself using NotebookLM (to read stuff), Gemini (to analyze images and videos), Google Lens (to find stuff without links), NotebookLM (to create video explainers), Gemini (for generating mini apps), Collab (for data science), Deep Research (for gathering info), Antigravity (vibe coding), Nanobanna (for image editing), veo (for video gen), aistudio (mini apps). You also get all this under a wireless subscription with GoogleFi! That's insane! What else am I missing?

Google's AI strategy is intriguing. They are building AI tools that target real use-cases. I am finding myself using NotebookLM (to read stuff), Gemini (to analyze images and videos), Google Lens (to find stuff without links), NotebookLM (to create video explainers), Gemini (for generating mini apps), Collab (for data science), Deep Research (for gathering info), Antigravity (vibe coding), Nanobanna (for image editing), veo (for video gen), aistudio (mini apps). You also get all this under a wireless subscription with GoogleFi! That's insane! What else am I missing?

Carlos E. Perez

55,505 просмотров • 10 месяцев назад

Was very excited when Last Week Tonight asked Четыреста Четыре.co to help out with research/fact checking for an AI Slop segment that ran last night. I thought it turned out very good! Here's a few mentions of our reporting, and the full segment:

Was very excited when Last Week Tonight asked Четыреста Четыре.co to help out with research/fact checking for an AI Slop segment that ran last night. I thought it turned out very good! Here's a few mentions of our reporting, and the full segment:

Jason Koebler

18,037 просмотров • 1 год назад

✨ I used + to make an AI video impression of a single day in the 🇳🇱 Dutch colony of New Amsterdam (current day New York) in 1670 I always wanted to see how it'd look in real life and AI just helped me get a little bit closer to that I wrote basic prompts, then asked ChatGPT to expand them, then I put all the generated AI videos together in Final Cut Pro and added background audio from Pixabay, took about 1.5 hours in total for 1.5 min of video

✨ I used + to make an AI video impression of a single day in the 🇳🇱 Dutch colony of New Amsterdam (current day New York) in 1670 I always wanted to see how it'd look in real life and AI just helped me get a little bit closer to that I wrote basic prompts, then asked ChatGPT to expand them, then I put all the generated AI videos together in Final Cut Pro and added background audio from Pixabay, took about 1.5 hours in total for 1.5 min of video

@levelsio

457,639 просмотров • 2 лет назад

I'm about to piss off a 13 billion dollar industry - the OCR market. Here's why: Monday: I optimized my PDF-to-Excel converter landing page for SEO. Tuesday: I started ranking #1 organically for "pdf to excel ai", a phrase with 8K+ monthly searches and growing. The Google Ads competition is insane. Wednesday: I was previously using a basic OCR API and I replaced it with the Gemini 2.0 Flash model, which is insanely good at PDF parsing. Thursday: I bought the domain pdftoexcelai[dot]com.

I'm about to piss off a 13 billion dollar industry - the OCR market. Here's why: Monday: I optimized my PDF-to-Excel converter landing page for SEO. Tuesday: I started ranking #1 organically for "pdf to excel ai", a phrase with 8K+ monthly searches and growing. The Google Ads competition is insane. Wednesday: I was previously using a basic OCR API and I replaced it with the Gemini 2.0 Flash model, which is insanely good at PDF parsing. Thursday: I bought the domain pdftoexcelai[dot]com.

David Bressler 📊

12,429 просмотров • 1 год назад

A FREE Master Class On Competitive Research Using AI... 🤯🤯🤯 I dive into 👇👇👇 ➡️ How to do DEEP competitive research ➡️ Version 1 of my prompts ➡️ Live example + Breakdown ➡️ How to use this for your own brand And yes... I'm giving this for free. Want the prompts doc used in the video? 👉 Like this post 👉 Comment "Prompts" Special S/O to Professor Charley T | The Meta Ads Guy for sharing this plugin, you just turned my research process into a MACHINE. Forever grateful! 🙌

Nicole Crowell ➡️ Performance Creative Strategist

33,894 просмотров • 3 лет назад

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

75,602 просмотров • 2 лет назад