AI TRAINING 📸 Turn product photos into scroll-stopping videos The Rundown: In this guide, you'll learn how to turn a product photo into a cinematic clip ready for social media using Runway's video generation tool. This method excels at creating consistent clips that are ready for ad campaigns and product announcements. Step-by-step: 1. Grab a product photo first — Runway will use it for the start frame. Don’t have a product? Use a software mockup or ask Gemini to generate one for the brand 2. Drop the photo into any AI, prompting: "Write me a brief video prompt to use in Runway to generate a social media video based on this product photo. Add animations and/or camera movement if applicable" 3. Next, go to Runway > Tool > Video and add your starting frame and the AI-generated prompt 4. Rinse and repeat for the rest of your product photos. Try different combinations of text overlay and music when you post them to socials Pro tip: This is also a great way to enhance your existing ad sets — try adding them to your in Google or Meta campaigns.

AI TRAINING from Rundown ✏️ Write viral YouTube scripts with NotebookLM The Rundown: In this guide, you will learn to use NotebookLM to “watch” YouTube videos for you, then turn them into ideas and scripts for your own videos. Step-by-step: 1. Find a long-form YouTube video that you like the structure of. Go to NotebookLM > Create new > Add sources > Websites and paste the link in 2. Once NotebookLM analyzes it, make sure it’s selected, and prompt: “Reverse engineer the structure of this video. Give me a video outline and 4 video concepts with the same structure for my brand, [brand]” 3. Select the video concept you like best and instruct GoogleLM to generate a script for that idea. Click Save to note > click the three dots > Export to Docs 4. Now you have a script in Google Docs that’s ready to record Pro tip: You can save your best scripts as sources to give NotebookLM a better idea of what you like.

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Hey everyone, there’s big news about AI and copyright: the Bartz v. Anthropic case recently settled for $1.5 billion 💰. Anthropic used around 465,000 pirated books 📚 to train its AI model, and the court ruled this isn’t fair use 🚫. Rights holders with registered copyrights are eligible for about $3,000 per title 💵, but unregistered authors won’t receive payments ⚠️. This highlights how crucial copyright registration is—not just automatic protection 🛡️. If you want to check if your work is included or file a claim, visit the official settlement site 🖥️. This case is a wake-up call for authors about protecting their rights as AI use grows ⚖️. More details here: [Homepage | Bartz v Anthropic Settlement Site] I see more content about the case also here AI Trained on Your Books? Inside the $1.5B Bartz v. Anthropic Settlement for Authors. Should all publishers make copyright registration a priority now? With cases like Bartz v. Anthropic showing how crucial registration is for protection and compensation, what does the community think? Is registration worth the effort to safeguard our rights as AI use expands? Would love to hear your thoughts!

AI TRAINING 💻 Accelerate development workflows with Gemini CLI The Rundown: In this tutorial, you will learn how to use Google's new command-line AI tool brings powerful code analysis, app generation, and workflow automation directly to your terminal for free. Step-by-step: 1. Open your terminal and write npm install -g @google/gemini-cli (requires Node.js 18+) 2. Sign in with your Google account for 60 requests/minute, 1,000/day 3. Try gemini "Explain the architecture of this codebase" for instant insights 4. Use for PR analysis, git conflicts, or generating apps from sketches Pro tip: Start with simple codebase queries, then progress to complex automation.