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You are closer to bankruptcy than to richness than you think.
Despite thousands of bots, gurus and coaches telling you otherwise, making filthy amounts of money (the famous six-figures) on youtube or any other platform has similar chances than winning the lottery. To have enough visitors to earn money you need people. And if everybody is working on their own channel, spending countless hours creating content and labelling it so the algorithm can make it surface, who is going to watch your videos? Spending insane amount of money on coaches or courses that "guarantee" richness or great amount of money in no-time is one of the safest paths to bankruptcy or debt you could even get. No one gets rich overnight. No one gets rich playing by the rules. No one gets rich without contacts in places of power. There's no such thing as self-made-rich. These pills may be hard to swallow, but it's what it is. Don't let them blind you.
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The Thumbnail Is the Algorithm: Why Most Videos Fail Before They’re Watched”
Most videos don’t fail because of bad content. They fail because the thumbnail never earned the click. Same video. Different thumbnail. Completely different outcome. Thumbnails control: • Emotion • Curiosity • Click-through rate • Whether the algorithm even gives you a chance In YouTube automation, this is not design work. This is conversion psychology. If your thumbnail doesn’t communicate value in one second, your video is already dead. Study thumbnails harder than scripts. That’s where the leverage is.
The Thumbnail Is the Algorithm: Why Most Videos Fail Before They’re Watched”
LLM are cool, but SLM are enough
I was very skeptical about the whole concept of local models, and i cannot explain how wrong i was. Let me share this very nice money saver for small tasks. LMStudio acts as your repository for local models. Continue is the opensource agentic workforce that allows you to replicate most of the copilot features when you combine the local models with your agentic code builder it's basically copilot for free. The only limits are the resources you can allocate, and in my case are not much... that is why i use https://lmstudio.ai/models/mistralai/ministral-3-3b which is likely one of the best trade off between size and quality i have seen so far. And the next step... is to leverage ollama to build your own batch llm service and ditch api call costs.
New automation I build
Watch the video here: https://www.instagram.com/reel/DRzDBWDjGIX/
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Anti Gravity
Did anyone try anti gravity on a real project ? Any tips or feedback you can share ?
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Data Alchemy
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Your Community to Master the Fundamentals of Working with Data and AI — by Datalumina®
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