Aurora_lily

37.9K posts

Aurora_lily banner
Aurora_lily

Aurora_lily

@Aurora_TechAI

💎 Aurora_lily 💎 AI & Social Media Creator 📈 Turning Ideas Into Engagement 🤝 Open For Collaborations 📩 [email protected]

Camden Town, London Beigetreten Mart 2015
15 Folgt31.2K Follower
Angehefteter Tweet
Aurora_lily
Aurora_lily@Aurora_TechAI·
🚨NotebookLM can now turn Articles, PDFs, and YouTube Videos into Structured Insights — like having an MIT researcher working alongside you. Here are 10 prompts that will completely change how you analyze information 👇
Aurora_lily tweet media
English
30
43
64
2.4K
Aurora_lily
Aurora_lily@Aurora_TechAI·
“The future belongs to people who turn knowledge into scalable products — AI just makes the process faster.”
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.

English
7
8
9
274
Aurora_lily retweetet
Aurora_lily retweetet
Ashik Nawaz
Ashik Nawaz@AshikNewazAJ·
“Very soon, nobody will ask if you use AI — because everyone will. The real question will be: Whose knowledge, creativity, and decision-making are built into it? As AI makes tools accessible to everyone, competitive advantage shifts away from software itself and toward the people behind the thinking. Features can be copied. Workflows can be replicated. But unique mental models are much harder to replace. The future belongs to those who can turn their expertise into scalable Skills. Because in the AI era, the real moat isn’t the tool you use — it’s how you think.”
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.

English
5
6
6
136
Aurora_lily retweetet
Ted Cruz
Ted Cruz@TedCruz1072676·
“AI is changing what it means to have an edge. Soon, using AI won’t make you stand out — it’ll be expected. What will matter is the quality of thought, experience, and perspective embedded inside the system. When everyone has access to the same tools, the advantage shifts to the people who can package their mindset into reusable intelligence. The strongest leverage in the AI era won’t come from access alone. It will come from owning a way of thinking that others can’t easily replicate.”
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.

English
9
10
13
460
Aurora_lily retweetet
Aurora_lily retweetet
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.
English
241
198
446
185.8K
Aurora_lily retweetet
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.
English
214
155
294
108.4K
Aurora_lily retweetet
Nusrat Jahan
Nusrat Jahan@NusratJaha07·
In the AI era, access to intelligence won’t be rare — unique thinking will be. Tools can be copied, but perspective, creativity, and reusable skills are what truly make people stand out. 🌍✨
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.

English
9
9
11
363
Aurora_lily retweetet