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A Harvard student told me something I can't stop thinking about. When they go to the library, every single screen has ChatGPT open. Homework that used to take hours now takes minutes. But then they talk to alums who say entry-level roles are basically gone. The jobs they planned their entire college trajectory around don't exist anymore. AI made homework easier but made proving you deserve a job exponentially harder.

Harvard and Stanford students tell me their professors don't understand AI and the courses are outdated. If elite schools can't keep up, the credential arms race is over. Self-learning is the only way now.

We built TLDW (too long, didn't watch), a tool that helps you learn from long YouTube videos better & faster. AI video summaries are solving the wrong problem. You don't need a generic text summary of a 1-hour video. You need the 5 minutes that actually change how you think. TLDW finds those moments for you. Demo 👇 Try now at: tldw dot us

The reason why mobile internet in China developed faster than in the West

I spent 8 years away from X because it felt like noise. When I came back 6 months ago for AI, my feed was full of clickbait and topics I no longer cared about. So I did something most people don't do: I intentionally shaped my algorithm. Every time X pushed clickbait at me, I clicked "not interested." I unfollowed accounts from 8 years ago. I followed builders, PMs, and people actually creating things. I did this religiously for a month. Now my Twitter feed is basically an AI learning platform. Product launches, technical discussions, startup updates. The video feed is just product demos. Here's what I learned: most people complain about social media algorithms controlling them. But you can control the algorithm if you're willing to put in the work. The platforms aren't inherently bad. They're just optimized for engagement, not learning. But if you're intentional about what you engage with, you can bend them to serve your goals. X can be TikTok for learning. You just have to train it.

Most people don't realize how accessible early-stage founders are when you engage with their work genuinely

How I grew my X following by 10k in 3 months: 1. Tune your feed (unfollow clickbait, follow builders) 2. Engage authentically (don't use AI to write replies) 3. Post at least 3 times a day (write like how you talk irl) 4. Learn in public (use X as a public notebook for recording takeaways from podcasts/newsletters etc) Do this consistently for 3 months.

If you're non-technical, AI coding tools are for pitching/communicating to engineers, not replacing them. I use Claude to make interactive prototypes that show exactly what I want to build. Then I hand it to a real developer. The prototype isn't the product. Conflating the two is dangerous.

What most people think happens: - you post a launch video - people click, try it, love it, become paying users What actually happens: - someone sees your post, thinks "cool," saves it, forgets about it - a week later, another post, another save - a week after that, hears a friend mention it - next day, finally opens the website, gets distracted halfway through onboarding - days later, clears browser tabs, closes yours - sees another post, tries again but only uses free version, then forgets - much later, the pain point resurfaces, remembers your product, tries again Converting someone into a user takes MANY touch points. Repetition and word of mouth are everything.

One thing that has enhanced my productivity at work dramatically: While waiting for AI to output results, DO NOT SCROLL SOCIAL MEDIA Do a stretch instead!

A Harvard student told me something I can't stop thinking about. When they go to the library, every single screen has ChatGPT open. Homework that used to take hours now takes minutes. But then they talk to alums who say entry-level roles are basically gone. The jobs they planned their entire college trajectory around don't exist anymore. AI made homework easier but made proving you deserve a job exponentially harder.

Harvard and Stanford students tell me their professors don't understand AI and the courses are outdated. If elite schools can't keep up, the credential arms race is over. Self-learning is the only way now.

We built TLDW (too long, didn't watch), a tool that helps you learn from long YouTube videos better & faster. AI video summaries are solving the wrong problem. You don't need a generic text summary of a 1-hour video. You need the 5 minutes that actually change how you think. TLDW finds those moments for you. Demo 👇 Try now at: tldw dot us

I spent 8 years away from X because it felt like noise. When I came back 6 months ago for AI, my feed was full of clickbait and topics I no longer cared about. So I did something most people don't do: I intentionally shaped my algorithm. Every time X pushed clickbait at me, I clicked "not interested." I unfollowed accounts from 8 years ago. I followed builders, PMs, and people actually creating things. I did this religiously for a month. Now my Twitter feed is basically an AI learning platform. Product launches, technical discussions, startup updates. The video feed is just product demos. Here's what I learned: most people complain about social media algorithms controlling them. But you can control the algorithm if you're willing to put in the work. The platforms aren't inherently bad. They're just optimized for engagement, not learning. But if you're intentional about what you engage with, you can bend them to serve your goals. X can be TikTok for learning. You just have to train it.

How I grew my X following by 10k in 3 months: 1. Tune your feed (unfollow clickbait, follow builders) 2. Engage authentically (don't use AI to write replies) 3. Post at least 3 times a day (write like how you talk irl) 4. Learn in public (use X as a public notebook for recording takeaways from podcasts/newsletters etc) Do this consistently for 3 months.

Most people don't realize how accessible early-stage founders are when you engage with their work genuinely

If you're non-technical, AI coding tools are for pitching/communicating to engineers, not replacing them. I use Claude to make interactive prototypes that show exactly what I want to build. Then I hand it to a real developer. The prototype isn't the product. Conflating the two is dangerous.

One thing that has enhanced my productivity at work dramatically: While waiting for AI to output results, DO NOT SCROLL SOCIAL MEDIA Do a stretch instead!

The future of job search is "show your work" not "tell me what you did"

What most people think happens: - you post a launch video - people click, try it, love it, become paying users What actually happens: - someone sees your post, thinks "cool," saves it, forgets about it - a week later, another post, another save - a week after that, hears a friend mention it - next day, finally opens the website, gets distracted halfway through onboarding - days later, clears browser tabs, closes yours - sees another post, tries again but only uses free version, then forgets - much later, the pain point resurfaces, remembers your product, tries again Converting someone into a user takes MANY touch points. Repetition and word of mouth are everything.

I’m seeing AI products having longer & more complicated onboardings Personalization requires context, and context requires user investment

2 types of people: Type A: now that I have AI, I can have a 24/7 tutor that teaches me anything! Type B: now that I have AI, I no longer need to learn anything!