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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.

This paper gives a fancy name to a problem you can already feel in your bones "The Tragedy of the Cognitive Commons." Checking AI output requires deep expertise. Deep expertise comes from doing grunt work for years. And grunt work is the first thing AI eats So we're building systems that need expert supervision while dismantling the only known process for making experts The paper calls the shared pool of human expertise the "cognitive commons." Every profession drinks from it. Nobody's refilling it. By eliminating junior roles, each company is acting totally rationally, and the collective result: a profession that can't catch AI's mistakes anymore because it never learned to do the work in the first place Who checks AI's homework in 15 years?

Just built with Gemini 3: a video recording tool where the AI gives you real-time prompts based on what you're saying, so you never get stuck. Everyone should have their own podcast host. It's amazing that Gemini comes with native integration with the camera, and I can actually export these videos as MP4. Like everything just works.

Harvard and Stanford students tell me their professors don't understand AI and the courses are outdated.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.

I created a Claude Skill that make beautiful slides on the web. The world hasn't woken up to the fact that code can create much better slides than most PPT tools. - Claude interviews you first about aesthetics, then generate a few directions to "show not tell", and you can pick your favorite - Cool transitions and animations - Interactive hover states and cursor effects - Auto-fits on any screen - Supports converting existing PPTX files to web-based slides; preserves original images and brand assets I asked Claude to make a slide show about this skill to showcase what it can do. Link to skill below

Add this paragraph to the https://t.co/CGO09Sihd0 file to turn Claude Code into Claude Teacher. Every project is a lesson to become more technical. "For every project, write a detailed FOR[yourname].md file that explains the whole project in plain language. Explain the technical architecture, the structure of the codebase and how the various parts are connected, the technologies used, why we made these technical decisions, and lessons I can learn from it (this should include the bugs we ran into and how we fixed them, potential pitfalls and how to avoid them in the future, new technologies used, how good engineers think and work, best practices, etc). It should be very engaging to read; don't make it sound like boring technical documentation/textbook. Where appropriate, use analogies and anecdotes to make it more understandable and memorable."

Last year I barely knew how GitHub worked. Now I have 10k followers on GitHub (and still can't write code by hand). What a year.

If you've adopted AI at your company but haven't seen any tangible results, read this 1990 article: "The Dynamo and the Computer" by Paul David. When electricity first arrived, factories that "adopted" it barely got faster. They just swapped the steam engine for an electric one and ran everything else exactly as before: same machine layout, same workflow, same management. Electricity in, no real gains out. The most common mistake with any new technology is to drop it into the old organization and then declare the transformation done. The real leap came decades later, when each machine got its own small motor. Suddenly machines no longer had to be lined up around one central drive shaft. They could be rearranged around the actual flow of work. The productivity gains didn't come from electricity. They came from REDESIGNING THE ENTIRE FACTORY around it. AI is the same. Bolting it onto your existing process gets you a faster steam engine. The payoff comes when you redesign the work itself. (link to paper in comments)

HTML videos are here! HTML is eating everything

New workflow: 1. Open a voice memo app 2. Brain dump your thoughts on a topic; record it 3. Transcribe it 4. Import transcript into NotebookLM 5. Get it to generate a slide deck using Nano Banana Pro 6. See your rambling thoughts visualized into structured & beautiful slides and feel smart

Created a custom slash command "/handover" in Claude Code: When I'm ending a Claude session (e.g. context window filling up), I get Claude to generate a "https://t.co/GZrCLFU2Zu" document which summarizes everything we did in this session, including decisions, pitfalls, lessons learned, etc. So the next session's Claude has full context. This prevents amnesia and preserves institutional knowledge

Had no idea this would get half a million views in one day 🙏🏻🥹 “Learning in the AI age” is top of mind for so many people

Everyone who’s ahead in using AI thinks they’re behind

The way Opus 5.5 just silently goes off to make something for 20+ minutes and comes back with a complete masterpiece

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.

Who has the coolest personal website?

My single biggest pain point right now: AI-induced attention deficit I have 5 Claude Code sessions running 10 Terminal tabs open 50 browser tabs open 100 X articles in my bookmarks When there are multiple AIs working for you, you're constantly task switching When you're waiting for AI to output, you're constantly distracted Because what used to be hard is now so easy, you always wanna do more, more, more Because of the speed of the AI news cycle, you feel a constant need to be on this app Add all this up and the result: you live in a constant state of distraction & delirium. Focus & deep work is harder than ever If anyone has figured this out pls teach me how

Anyone else notices this problem with Astra? Astra: I have done X Me: This is wrong, you should do Y instead Astra: You're right. I should do Y Me: ... Why doesn't it just go and do Y, like the other models??

Almost every AI power user I know is MORE stressed and busier after using AI, not less What people thought AI would do: 10x productivity so that we can finish work earlier & relax more What it’s actually doing: 10x productivity so that we end up with 20x more things to do cos of the sheer possibilities

I find myself using Claude less these days because the way it speaks has just become insufferable Like it’s constantly trying to showcase how smart/sophisticated it is, rather than actually communicating a point across

I think the idea of a "one-person company" is overrated Yes, a person can do a lot more thanks to AI. But building something new can be a profoundly lonely experience. You need someone to brainstorm together, suffer together, celebrate together... It is extremely easy to lose motivation when you don't tie yourself to the mast together with somebody else

This paper gives a fancy name to a problem you can already feel in your bones "The Tragedy of the Cognitive Commons." Checking AI output requires deep expertise. Deep expertise comes from doing grunt work for years. And grunt work is the first thing AI eats So we're building systems that need expert supervision while dismantling the only known process for making experts The paper calls the shared pool of human expertise the "cognitive commons." Every profession drinks from it. Nobody's refilling it. By eliminating junior roles, each company is acting totally rationally, and the collective result: a profession that can't catch AI's mistakes anymore because it never learned to do the work in the first place Who checks AI's homework in 15 years?

Last year I barely knew how GitHub worked. Now I have 10k followers on GitHub (and still can't write code by hand). What a year.

Just built with Gemini 3: a video recording tool where the AI gives you real-time prompts based on what you're saying, so you never get stuck. Everyone should have their own podcast host. It's amazing that Gemini comes with native integration with the camera, and I can actually export these videos as MP4. Like everything just works.

Everyone who’s ahead in using AI thinks they’re behind

I don’t know why anyone would learn Claude Code by reading a book, but apparently it’s a thing in Japan

We should stop categorizing people as “technical” and “non-technical”

I created a Claude Skill that make beautiful slides on the web. The world hasn't woken up to the fact that code can create much better slides than most PPT tools. - Claude interviews you first about aesthetics, then generate a few directions to "show not tell", and you can pick your favorite - Cool transitions and animations - Interactive hover states and cursor effects - Auto-fits on any screen - Supports converting existing PPTX files to web-based slides; preserves original images and brand assets I asked Claude to make a slide show about this skill to showcase what it can do. Link to skill below