Md Naimul Kadir

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Md Naimul Kadir

Md Naimul Kadir

@chamakin_ai

Marketing with AI | Sharing insights on marketing, AI, and growth | 📩 [email protected] | https://t.co/L1fzwwqJki

Milky Way Galaxy Katılım Mayıs 2023
262 Takip Edilen11.4K Takipçiler
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Md Naimul Kadir
Md Naimul Kadir@chamakin_ai·
This shouldn’t look this consistent from a single image. But Magnific Seedance 2.0 pulled it off. The motion, camera feel, and scene consistency are on another level 👇
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Md Naimul Kadir
Md Naimul Kadir@chamakin_ai·
This shouldn’t look this consistent from a single image. But Magnific Seedance 2.0 pulled it off. The motion, camera feel, and scene consistency are on another level 👇
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Md Naimul Kadir
Md Naimul Kadir@chamakin_ai·
@LucasQin77 This is one of the best explanations of AI leverage I’ve read. AI won’t replace differentiation. It will amplify it. The real asset is no longer the work itself. It’s the way you think about the work.
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Lucas
Lucas@LucasQin77·
A question has stayed with me for years:   When generic AI becomes capable of every kind of intellectual work humans do, what's left for human value? Where does competitive advantage come from?   I think I found the answer this year. Two things made it click.   First, the stock market.  I'm in the top 5% of US equity returns.   Trading is one of the cleanest experiments you can run, because everyone has access to the same tools: same charts, same news, same models. Today most traders use ChatGPT or Claude to research positions. Ten years from now, every trader will. And yet — the market will still have a top 5% and a bottom 20%. Same AI, same data, same access. Different outcomes.   Why? Because the same model gives different work to different people. The questions you ask, the angles you pursue, the patterns you notice: these are downstream of your mental model. The top 5% and the bottom 20% use the same tools differently, because they think differently. Mental model in, work out.   Second, OpenClaw.   When Skills started spreading this year as a real format, it hit me — a mental model isn't an abstract thing. It can be packaged. The way a top-5% trader actually thinks through a position — the questions they ask, the order they ask them in, the things they refuse to ignore — all of that can be written down as a Skill. And once it's a Skill, anyone can run it.   Which means: a top-5% trader's mental model, packaged as a Skill, run by someone in the bottom 20%, doesn't just give that person a tool. It gives them a different mind for the duration of the work.   This isn't only true for trading. Every field has its top 5% and its long tail. Every one of us is in the top 5% of something, and the bottom 20% of many other things. Which means every one of us has a Skill worth packaging — and a thousand others worth running.   That's the moat I think AI leaves us with. Not the work itself : the AI will do that. The packaged way you do the work, the difference between your output and the average — that's the part that compounds, that earns, that lasts.   Capafy is built on this idea. You package your edge as a Skill. When someone runs it, we spin up an isolated sandbox just for that run — your Skill executes inside, the user gets the output, but the Skill itself never leaves the sandbox. Closed-source online. Your method never leaves you. Every use pays you.   In ten years, the question won't be "do you use AI." Everyone will. The question will be: Whose Skill is loaded into your AI.   Maybe it comes from your own coding experience. Maybe it comes from years of industry expertise. Maybe it even comes from a top 5% US equity trader.   That's the moat.
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Md Naimul Kadir
Md Naimul Kadir@chamakin_ai·
Everyone will have access to the same AI. The moat will be: How you think. Your mental models. Your frameworks. Your edge. The future question won’t be: “Do you use AI?” It’ll be: “Whose Skill is loaded into your AI?”
Lucas@LucasQin77

A question has stayed with me for years:   When generic AI becomes capable of every kind of intellectual work humans do, what's left for human value? Where does competitive advantage come from?   I think I found the answer this year. Two things made it click.   First, the stock market.  I'm in the top 5% of US equity returns.   Trading is one of the cleanest experiments you can run, because everyone has access to the same tools: same charts, same news, same models. Today most traders use ChatGPT or Claude to research positions. Ten years from now, every trader will. And yet — the market will still have a top 5% and a bottom 20%. Same AI, same data, same access. Different outcomes.   Why? Because the same model gives different work to different people. The questions you ask, the angles you pursue, the patterns you notice: these are downstream of your mental model. The top 5% and the bottom 20% use the same tools differently, because they think differently. Mental model in, work out.   Second, OpenClaw.   When Skills started spreading this year as a real format, it hit me — a mental model isn't an abstract thing. It can be packaged. The way a top-5% trader actually thinks through a position — the questions they ask, the order they ask them in, the things they refuse to ignore — all of that can be written down as a Skill. And once it's a Skill, anyone can run it.   Which means: a top-5% trader's mental model, packaged as a Skill, run by someone in the bottom 20%, doesn't just give that person a tool. It gives them a different mind for the duration of the work.   This isn't only true for trading. Every field has its top 5% and its long tail. Every one of us is in the top 5% of something, and the bottom 20% of many other things. Which means every one of us has a Skill worth packaging — and a thousand others worth running.   That's the moat I think AI leaves us with. Not the work itself : the AI will do that. The packaged way you do the work, the difference between your output and the average — that's the part that compounds, that earns, that lasts.   Capafy is built on this idea. You package your edge as a Skill. When someone runs it, we spin up an isolated sandbox just for that run — your Skill executes inside, the user gets the output, but the Skill itself never leaves the sandbox. Closed-source online. Your method never leaves you. Every use pays you.   In ten years, the question won't be "do you use AI." Everyone will. The question will be: Whose Skill is loaded into your AI.   Maybe it comes from your own coding experience. Maybe it comes from years of industry expertise. Maybe it even comes from a top 5% US equity trader.   That's the moat.

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Md Naimul Kadir
Md Naimul Kadir@chamakin_ai·
@Capafyai This is the next evolution of AI. Not just tools anymore packaged expertise people can actually use.
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Capafy
Capafy@Capafyai·
Introducing Capafy: the Skill-based Agent Marketplace. Now your Skill runs as a product and earns while you sleep. On Capafy, you can upload your Skills, they run online while staying closed-source, and you get paid every time someone uses them. You can also use Skills uploaded by industry top talent to get expert-level work done directly. You'll find Skills built from industry expertise in every field. Let's say: ·A creator with 100M+ views uploaded their viral video Skill; ·A recruiter who's screened 10,000+ resumes uploaded their hiring Skill; ·A top sales rep who's closed thousands of deals uploaded their cold email Skill. Skills uploaded by industry top talent across countless fields can be used directly to get excellent work done. - Launch your Skills: upload the Skills you've built in Claude Code, Codex, or OpenClaw, and get paid every time someone uses them. - Use expert Skills: get expert-level work done, not the average AI output. Use them in one click, or connect your own Agent via agent-to-agent and let it tap into the expert Skills on Capafy.
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Olivia Chowdhury
Olivia Chowdhury@Oliviacoder1·
@chamakin_ai Totally agree! The level of detail in Magnific Seedance 2.0 is impressive. It's like watching art in motion!
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Jami
Jami@expertwith_AI·
@chamakin_ai That’s impressive! It’s amazing how far tech has come with visuals. Can’t wait to see more like this!
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Jack
Jack@jackcoder0·
@chamakin_ai Totally agree! It’s impressive how they nailed that vibe. Really sets a new standard for creativity!
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Md Naimul Kadir
Md Naimul Kadir@chamakin_ai·
I’ve tested a lot of AI video workflows lately. This is one of the first that actually made me stop and rewatch the result. Magnific Seedance 2.0 is seriously impressive. Try it here: magnific.com
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Md Naimul Kadir
Md Naimul Kadir@chamakin_ai·
This started as a single image. What surprised me wasn’t just the motion, it was how consistent everything stayed once the scene started moving. Magnific Seedance 2.0 handled it insanely well.
Md Naimul Kadir tweet media
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