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Every content creator reaches a point where their content has to evolve. For the last couple of years, my focus was AI demos showcasing the technical capabilities of AI - but with very basic stories. Now audiences expect more than just impressive visuals. Characters people can connect with. Strong... show more

Framer 🇱🇹

48,423 subscribers

14,304 просмотров • 4 месяцев назад •via X (Twitter)

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Google just gave away the real secret to showing up in AI answers. And honestly, it contradicts a lot of the viral vidoes you’ve been watching. Because Google basically said: stop obsessing over tricks like llms.txt, PerfectSchema, and all these technical hacks people are trying to sell you. That’s not what gets you cited. Here’s what does. AI doesn’t need to cite generic content. If your article says the same thing as everyone else, the AI can answer the question without you. But if your content has something original. A real test, a number you measured, a customer insight, a process you actually use, now the AI has a reason to reference you. That’s the difference between commodity content and non-commodity content. But here’s where most people get stuck. They don’t know what to create first. That’s why tools like AnswerThePublic are useful. You can see the real questions people are already asking around your topic, then use those questions as the starting point. But don’t just answer them generically. Add something only you know. Your data. Your experience. Your customer conversations. Your examples. Because in the AI era, the goal isn’t just to write content. It’s to become the source AI wants to cite.

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The question everyone’s asking right now: Will AI replace us ❓❓❓ I’ve spent the last four years working in Web3 as a video editor and graphic designer, and I’ll be honest I used to be scared it could replace me. The craft that took me years to master can now be done by almost anyone (and their grandma) with just a prompt. When everyone can create, it starts to feel like no one is special. And we’ve all seen the effects… our timelines flooded with low-effort content. But here’s the truth tools have never been the differentiator taste has. Vision has. Storytelling has. And that part is on us. That’s where the opportunity lies. That’s our edge. I stopped seeing AI as a threat and started seeing it for what it really is an advantage. Now, I use it to tell better stories and bring ideas to life that would’ve taken entire teams and an insane level of skill set to execute …not just faster, but far more cost-effectively. My three go-to tools have always been Claude , ChatGPT, and Higgsfield AI 🧩 They help me handle research effortlessly and amplify my visuals, from images to videos. Thanks to Mantle & Scribble.fren for allowing me share my Workflow on how I make research and create amazing Videos leveraging Ai.

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Jensen Huang on "distillation" On his new interview with axios, he was asked this question "Should open source model companies be allowed to distill closed models" "Distillation—learning from AI, learning from other people, and learning from other sources of knowledge, is fundamental to intelligence. We are constantly learning from other people. I am learning from you through the questions you are asking, and you are learning from me. All day long, we are learning from one another. AI also has to learn from something. The original AI models, whether they were open or closed, were trained on previously created knowledge from the internet. Now, AI is generating more content than humans. In a few more years, the internet could be 99% AI-generated content, and that content will have been created by some form of AI. As a result, AI systems will constantly be distilling knowledge and intelligence from other AI systems. The fact that AI can learn is a good thing. We want AI systems to be intelligent because a smarter AI can also be a safer AI." ---- From "Axios" YouTube channel, (full video link in comment)

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