Joined April 2019
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Most people think AI will replace creators. I think AI will create more creators than ever before. When creation becomes easier: • more people publish • more ideas compete • more content exists Which means one thing becomes even more valuable: Taste. The future belongs to people who know what to create, not just how to create it.
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A few years ago, knowing how to use software was an advantage. Today, software is learning how to use itself. The advantage is shifting again. Not to the people with the best tools. To the people who understand problems deeply enough to tell AI what actually matters.
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AI is creating a strange new economy. The people getting rewarded aren't always the most experienced. They're often the fastest learners. Because when technology changes this quickly, adaptability becomes more valuable than expertise. The gap isn't between experts and beginners anymore. It's between learners and non-learners.
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The people winning with AI aren't using more tools. They're making fewer decisions. Every repetitive decision gets turned into: • a workflow • a system • an automation That's the real power of AI. Not intelligence. Consistency at scale.
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The internet rewards people who look busy. AI rewards people who think clearly. One person with: • a clear problem • a simple system • the right tools can now outperform teams that are 10x larger. The future belongs to leverage, not hustle.
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AI is making execution cheaper. Which means ideas are no longer the bottleneck. The bottleneck is now: • judgment • distribution • trust • consistency Everyone is getting access to the same tools. Not everyone will know what to do with them.
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The biggest AI advantage isn't speed. It's repetition. Humans get tired. Humans get distracted. Humans forget. AI doesn't. That's why the future won't be built by people working harder. It'll be built by people creating systems that work consistently.
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The biggest AI skill isn't prompting. It's knowing what NOT to automate. Some things get better with AI: • research • analysis • repetitive work • execution Some things get worse: • judgment • taste • relationships • trust The people who win with AI won't automate everything. They'll automate the right things.
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The AI winners won't be the people with the best prompts. They'll be the people who understand: • distribution • attention • systems • audiences • business AI is becoming available to everyone. Leverage won't come from access. It'll come from knowing what to do with it.
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Most people are using AI to save time. The smartest people are using AI to buy leverage. There's a difference. Saving 2 hours a day is useful. Building a system that works while you sleep is transformational. The biggest opportunity in AI isn't productivity. It's leverage. And most people still haven't realized that.
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AI founders are openly admitting something most people still don’t understand: This isn’t just another tech wave. Not social media. Not crypto. Not “the next app.” This is a complete rewiring of how humans: • work • learn • create • communicate • make decisions And honestly? The scary part isn’t that AI is getting smarter. It’s that society still hasn’t decided what kind of future it actually wants from it.
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The first wave of AI was: “AI can build apps.” The next wave is: “AI can productionize apps.” That changes everything. Because building was never the hard part. Testing, debugging, validation, deployment, edge cases, maintenance. That’s where most AI-generated products break. Now AI is starting to handle those layers too.
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AI Explained retweeted
🚨 AGENT SWARMS - BUILD COMPLEX APPS AND AUTOMATIONS WITH ONE PROMPT Combine Gemini 3.1 Pro, Opus 4.7 and GPT 5.5 to create complex multi-agent systems Each agent excels at a particular task - coding, testing, mobile app, research and monitoring Master agent orchestrates worker agents - use english to instruct the master
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Most people still use AI like a chatbot. The people quietly winning with AI use it like an operating system. They’re: • building apps without coding • cloning themselves with AI avatars • automating entire workflows • generating content at scale • launching businesses with tiny teams AI won’t replace everyone overnight. But people using AI effectively will absolutely replace people who don’t adapt.
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The biggest AI misconception right now: People think AI is just “ChatGPT.” It’s not. AI is becoming: • your designer • your developer • your researcher • your editor • your assistant • your operations team The people winning right now aren’t necessarily smarter. They just learned how to build leverage with AI faster than everyone else.
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Google is quietly killing prompts. At Google I/O, they showed AI video generation where you: • upload a clip • choose a style • get a finished cinematic output instantly No prompting. That’s where AI is heading: from “prompt engineering” to “intent engineering.” The winners won’t be people writing better prompts. They’ll be people building better systems around AI.
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The biggest AI opportunity right now isn’t building another AI wrapper. It’s solving expensive problems with small AI-powered systems. Most people are obsessed with: • prompts • tools • automations • shiny AI demos But the real winners are doing something simpler: Find a painful problem Solve it manually first Get paid before building Use AI to automate the workflow Scale systems — not headcount The future belongs to lean AI businesses with massive leverage. Not giant teams. Not complexity. Just smart systems solving real problems.
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AI Explained retweeted
Claude Code: “Usage limit reached. Resets in 6 hours.” Me 0.2 seconds later 💀
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AI Explained retweeted
Instead of watching an hour of Netflix, watch this 2 hour hour Stanford lecture will teach you more about how LLMs like ChatGPT and Claude are built than most people working at top AI companies learn in their entire careers.
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