Hi, Just subscribed for Claude pro, now I can start the 7 day challenge. I am hoping to do the following: 1. Build at least one faceless YT channel 2. Create a web page for my small business and upgrade another 3. Automate social media marketing for the same business 4. Later I want to look at creating an ordering App

Most AI models look great… until you see the API bill. This looks like a very well-thought-out strategic move. The model offers: • 1 trillion parameters • 42 billion active parameters • 1 million token context window • multimodality (text, image, audio, video) • compatibility with vLLM and SGLang • MIT license But the most important thing is something else. And suddenly a TOP 30 model on arena.ai becomes a real option for companies building: • AI agents • automations • AI workflows • SaaS products Because most teams today don’t need “the world’s most powerful model.” They need a model that: • reasons well • handles long context • works fast • doesn’t burn through the budget after the first scale-up I have the feeling that this is exactly where the next stage of the AI market begins. The company with the largest model won’t win. The company that delivers the best quality-to-cost ratio will win. And Xiaomi has just entered this game very strongly.

Every single person following AI right now is overwhelmed. Including me. I make videos about this stuff for a living and I still feel the pressure. New model drops. New framework. New feature update. It feels like every single day. But after hearing a ton of you guys bring up "AI overwhelm" week after week, I realized this: → There's a HUGE difference between knowing the "what" and knowing the "how." Staying aware does not mean testing everything. Most new tools and features only need the "what." You see the title. You understand what it does. You move on. The "how" is reserved for the stuff that solves a problem you actually have right now. So when something new drops, I ask myself one question: Does this solve a specific pain point I'm currently dealing with? If yes, I test it in a real scenario. I test it against something that actually matters to me. If no, I save the link. I mentally file it away. And I keep walking. Because here's the thing. Your north star is probably very different from mine. Part of my job is to experiment, form opinions, and share what I think is useful. So naturally I test a lot of stuff. But if your north star is building a business or getting better at your craft, then every shiny new tool might just be a distraction. The number one mistake I see people make is they try to learn everything. They watch every video. They test every tool. They jump to the next thing before the last thing even had a chance to work. And if I've contributed to your overwhelm with my daily uploads, I apologize. hehe. But a lot of people think that this ties directly into how you measure your day. Productivity is not how many hours you worked. It's how many meaningful outputs you created that actually moved the needle towards your north star. Someone can work 12 hours one day and feel insanely productive, but they were just watching tutorials and playing around with new tools. Meanwhile someone else sits down for 5 hours, ships the one thing that actually matters, and makes more progress.

So guys, I'm 17 year old from India. I just closed a monthly retainer of $400 / month from a US client. The kickoff payment is done! Feeling so proud. I've grinded for 1 entire year to enter this trajectory!

Not because I didn’t believe AI was big. Because I didn’t believe I was ready. For months, I had a folder on my desktop called “Business Ideas.” Every few weeks I’d open it, watch more videos, save more posts… Then close it again. The story in my head was always the same: “Who are you to charge for this?” “There are people way smarter than you.” “You need more proof first.” So I stayed in learning mode. But learning can become hiding real fast. What changed everything was one conversation with a business owner friend. He wasn’t asking for some insane AI agent architecture. He just wanted someone to explain: - what AI could actually help with - what was a waste of time - and where to even start That’s when it clicked that most business owners are not even looking for the #1 AI expert on earth. They’re just looking for clarity and If you can solve confusion, simplify decisions, and help someone save time or make money, you already have value. You do not need to be the smartest person in the room. You need to be useful. Now, I strongly believe that the gap between where you are now and where someone else is… is already enough to help them. Still got a long way to go myself. But I’m way further ahead than the version of me who kept waiting to feel “ready.” If your story is even somewhat similar to this - Believe me, Just start.