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And that changes how we learn. I tested Nano Banana Pro a lot more, and I discovered something really powerful. It can generate beautiful, context-rich infographics that actually help you understand things, not just look nice. They can include explainers, structured information, and diagrams based on real-world facts or on content you provide. So I tested it. I made a simple hand sketch on paper about: What AI is. What AI agents are. And what the real practical uses of AI agents are. I gave that sketch to Nano Banana Pro and asked it to turn it into an infographic. The first result already surprised me. It actually tried to read and understand what I drew and completed it with diagrams and structure. After that, I asked it to create a fresh, clean infographic inspired by the design I shared. It generated a version that already looked close to my idea, but in digital form. Then I pushed it one step further and asked it to make it more professional. And this is where it got really interesting. To improve the final result, I even asked the AI itself to help me write a better prompt for creating better infographics. I used that improved prompt, generated a new version, refined it again, and again. And as you can see, each iteration became clearer, more structured, and more professional. So now imagine this at scale. You can take information from documents, books, courses, notes, and research and turn all of that into visual learning material that your brain understands much faster than long text. Would you use AI infographics to learn faster? And what subjects would you want to turn into visuals?

📝 TL;DR New data shows ChatGPT’s user growth is cooling off, even as it remains the largest AI assistant by far. At the same time, Google’s Gemini is growing much faster, signalling that the AI race is shifting from raw hype to serious competition. 🧠 Overview A fresh market report estimates that ChatGPT’s global monthly active users are up around 180% year over year, but only grew about 5 to 6% between August and November. In that same period, Gemini’s monthly users jumped roughly 30%, helped by new features and better integrations. The message is clear: ChatGPT is still huge, but the easy growth phase is over and the real battle is now about retention, features, and day to day usefulness. 📜 The Announcement The report focuses on usage data through November 2025. It estimates ChatGPT at roughly 810 million monthly active users, with growth beginning to plateau in key markets like the United States. Meanwhile, Gemini’s user base is smaller overall but accelerating faster, with year over year growth around 170% and a strong boost in the last quarter from a new image generation model and tighter product tie ins. Rather than a collapse, this is being framed as a sign that consumer AI chatbots are moving into a more mature, competitive phase. ⚙️ How It Works → Monthly active users are still rising, just more slowly - ChatGPT is adding users, but at a far slower pace than in 2023 and early 2024. That suggests many of the most curious early adopters are already onboard, and future growth will be harder won. → Short term growth favors feature velocity - Gemini’s faster growth is tied to new capabilities and integrations that give people reasons to try and keep using it. In a crowded market, each new feature spike can move users around. → Market saturation is appearing in key regions - In some markets, especially in North America, most people who are likely to try an AI chatbot already have. Growth now depends on deeper habits, business adoption, and new use cases rather than pure novelty.

📝 TL;DR Meta just cut multiple AI licensing deals with big-name news publishers so its AI assistant can answer news questions using their content in close to real time. This is a big shift in how news gets distributed and how AI gets its information. 🧠 Overview Meta has signed a wave of commercial agreements with news organizations including USA Today, People Inc, CNN, Fox News, The Daily Caller, Washington Examiner, and Le Monde. These deals let Meta AI pull in and link to fresh articles when users ask news-related questions. It is another sign that AI assistants are becoming a primary gateway to information, not just a fun add-on. 📜 The Announcement On December 5, 2025, Meta confirmed it has struck several AI data and content licensing agreements with multiple news publishers. The goal is to feed Meta AI with timely, trusted reporting so it can respond to user questions with current information and links to original stories. Financial terms were not disclosed, but Meta says more partnerships and features are coming as it races to boost engagement with its AI products. ⚙️ How It Works → Meta AI plugs into publisher content - When a user asks a news-related question, Meta AI can now pull from the partnered outlets, summarize key points, and surface links back to their articles. That makes the chatbot feel more like a live news briefing than a static encyclopedia. → Real-time style updates for users - Instead of relying only on older training data, Meta can now serve fresher information via these feeds. It is a move to keep its answers relevant as news changes hour by hour. → Publishers get paid and amplified - Rather than scraping content and hoping no one complains, Meta is paying for structured access. In return, publishers get licensing revenue and prominent placement inside one of the most widely used consumer AI systems. → More deals are likely coming - Meta has signaled this is only the start. Expect more verticals, more regions, and more niche outlets to be added as competition in AI assistants heats up.