October
Real Rest
I didn't know I'd never learned to relax until undergrad.
I'd lived at home my whole life. Then suddenly I'm living with people from different walks of life, and they're just living differently. Playing video games. Going to the movies. Starting series together. I'd never had that kind of exposure.
Me, I was hustling. Brand ambassador first semester. Tutoring. Research. Always trying to hustle something. My roommates could see it before I could. Living with someone holds up a mirror.
It got clearer when I started living by myself. Finally I could do what I wanted. And sometimes I'd do what other people called rest, and I wouldn't feel rested. It felt like a task. Like a chore. I started noticing what I actually gravitated toward. At work I'd want to do my own things, the things that brought me peace, and I'd feel stressed if I couldn't get to them.
Here's the strange part. The most rebellious rest I've ever taken isn't rest at all. It's rest from their agenda. Starting the lab, pointing my energy where I want it to point, that feels like rest to me. More than vacation does. Vacation is just rest from what they wanted me to do. Driving the agenda myself, setting my own priorities, that's real rest.
The same childhood that never taught me rest taught me something else, though. When you're young your brain is a sponge. I learned young, I had little screen time, I learned to sit still and focus. All of that is paying off now.
Maybe that's the whole thing. Rest isn't doing nothing. Rest is doing what you choose.
September
Bring It Back
Who was I? A distractible kid. But I was distractible by the real world.
I read books. I learned parkour. I played soccer and basketball and ping pong. I took apart computers. I built things with my hands. I drew. I was an explorer of the world. I played guitar and piano, I designed, I invented, I did my homework, and I still felt like I had so much time to kill.
Then I got my first phone. I sat behind my first algorithm. And I started to change.
I thought that the world was the world online. That was far from the truth.
It took my time. Not my hours, my feeling of having hours. I was doing less and feeling like I had less, when before I had done more and felt like I had time to kill. It felt like my time was cut into an eighth of what it once was. That was the first sign.
Then dissatisfaction. Then striving. Then the self-fulfilling prophecy: stressed and overwhelmed, striving to get back something I once had, using the thing that took it.
Here is what the algorithm does. It predicts what you are likely to do. You drift toward the prediction. The prediction gets reinforced. Over years you become a smoothed out, predictable version of yourself, and each step felt like you. The edges come off. The variance dies. You become what the model said you would be.
Everyone is building this. Prediction is the easy trick. Every product takes you away. Nobody brings you back.
A trick is not complete without the prestige. It is not enough to take it away. You have to bring it back.
I know the way back exists because I walked part of it. I'd spent two years doing things I didn't feel connected to. Brand ambassador for Amazon, toward the end. It felt empty. So I took two years off social media. And the first couple weeks, I realized the world wasn't going on without me. I was the one missing the real world. My priorities reprioritized themselves. The people who actually cared reached out, and those connections kept growing. Reality came back. Reality is always there.
You think leaving the feed will disconnect you from the world. Then you realize the world was never connected in the first place. What you were looking at was an illusion, a figment of what you thought the world was. An echo chamber of For You pages. A world built for you, but not the real world.
And the feeling of missing out never came back. I never felt like I was missing anything. I was okay with it being gone. Which means it was never mine. It was the machine's feeling, not mine. Take the machine away and the feeling evaporates.
I did not get back to the exact baseline. That is not the point. The point is the direction.
I had spent so long at a baseline without tech that I knew what return felt like. You can never make me forget what that was like. For someone who grew up inside the feed, that's the open question. What do they return to? But the feed never stops smoothing you out. You're always changing. So the delta is always there to find.
I got back by leaving. Most people won't leave. They shouldn't have to.
So what should the machine do? Not show me a dashboard of who I was. Change my thinking back to what it was. The algorithm changed my thinking into a smoothed out, predictable version of me by shaping everything I saw. In the same way that it did that, it can revert me back. The disease is the proof of concept for the cure.
But why stop at getting back? If the machine can walk the path backward, it can walk it past the baseline. Past restoration, into navigation. Granular control over yourself. Traversing time. Visiting versions of yourself the way you would visit places. The explorer kid when I need to create. The disciplined one when I need to build. All of them me. All of them available.
Time travel for your brain.
I am usually good at predicting. I cannot predict what the world looks like with this in it, and I think that is the sign we are building something that matters. Something that can stand the test of time. Something that cannot just be algorithmed away into a logical prediction.
If anything, people are more connected to themselves. They understand their value more. They know what matters to them, and they are living accordingly.
At least that is what I hope for myself.
September
Why We Exist
My father would ask me questions about the world, about science, for hours. We would be in the car driving somewhere, and he would ask me why the trees on the forest floor bloom earlier than the taller trees, and I would sit there and wonder as the trees passed us for miles and miles and miles. I did not have tech growing up. There was nothing to look it up on. I was just forced to sit there with the question.
I was full of ideas about what I wanted to do with my life, things I wanted to build, inventions that might make a difference. I was a problem solver from a young age, and I had the good fortune of a father who treated that like something to train.
So I grew up inside science, and I grew up a problem solver. And inevitably I stopped wanting to solve my dad's problems and started wanting to solve my own. My own problems were meta problems. The biggest problem I had was that I wanted to address more problems. If you have an ability, you want to use that ability on the thing that would maximize the ability itself. That became a doctrine for how I live: play to your strengths, and use your strengths to set up your environment so that your environment sharpens your unfair advantages even further.
I knew problem solving was the strength. I wanted a job where I could sit and solve problems all day. I loved the ideation of it. The action, less so. My fantasy was simple: I would have the ideas, and someone else would carry out the work. For a long time that was not a feasible arrangement. Then, without anyone predicting it, agents arrived that could take a half-baked idea and do the work. It was amazing. And it was not enough.
Because here is what I wanted next. Yes, the agent can build my idea. But can it keep up with my every thought? Can it understand how the idea evolves over time, and keep the build clean and current through every evolution? The demands of that are specific. A prompt is a task. Agents are task-oriented, not trajectory-oriented. They don't understand what a long-term goal means to you, or how to ascribe value to it. To you the tasks are emotionally charged. To them they're just tasks. That would take understanding emotion deeper than vocabulary. The agent would need to pretty much share the same brain as me. That is where Cosmos found its footing.
I did not arrive at this from the literature. I had not read Licklider when I landed on the shared brain. I had heard of Clark and Chalmers and the extended mind, but even that came after I started building. The research found me later, and it confirmed what I had been discovering on my own. I think of it as picking up a thread that has been sitting in the research for a long time. It is slowly gaining relevance again. But people are still missing the big picture. Or maybe they are working toward it and it just takes time. Either way, the thread is there, and someone needs to carry it.
The big picture is the shared brain hypothesis, and here is the version I believe. Look at the creative world if you want to know where tech is going. Artists predict our inventions before we invent them. Cyborgs have been predicted in film and television for decades, and we are slowly heading somewhere like that. Not in the way we expect. There will probably not be humanoid robots walking around. But there will be humans with embedded interfaces and external computing devices they rely on, the way Clark and Chalmers described the extended mind. Probably sooner than later.
Right now the industry is building toward what I call the safe hypothesis: separate spaces for humans and computers, each operating in its own world. That only creates more headache. Humans and computers need to share the same world, the same environment. Either computers enter the human environment, with more sensors to understand the human world, or humans enter the computer environment. I am betting on the first direction. Computers need to learn to understand humans better. Humans sense the world and convey it efficiently to machines, and machines build their understanding from what we give them. Not machines trying to understand the world alone while humans stand by correcting them.
Radiology makes this concrete, and I am about to become a radiologist, so I think about it constantly. Today's chest x-ray AI tries to read the image on its own, and the human carries the responsibility of correcting it. The better implementation is the reverse: the human understands what they see and conveys it to the model, and the AI adds what it understands to enhance the read. The human leads with understanding. The machine enhances. That is the direction of the shared brain.
You know when it is working because you feel a specific click. For me it happens when the machine says something about where I am headed, something I did not objectively state, and yet I know it to be true. I smile. Models are notoriously bad at synthesis. They capture and store and recall, and that is so different from synthesis. When I see synthesis, I smile a little bit. That is the whole test. Not recall. Convergence.
So what does winning look like? Here is 2036, if the hypothesis wins. Human life looks like symbiosis, but not the sci-fi kind. The effortless kind. You think things, and when you check in with your device, it has thought those same thoughts. We are already halfway there. The algorithms already know what you like before you open the app. Everyone has had the moment of telling a friend, we just talked about this, it will be on my feed tonight. Models are already good at predicting human thought. The next level is asynchronous synthesis: you return to the tool after time away, and it has predicted what would have happened while you were gone. The catch-up is not a catch-up. It is a continuous pickup, as if it never left.
That gets integrated into everything, the way AI is being integrated into everything now. Images read by agents the way we would read them. Essays written the way we would write them. The simple versions of that fall in the next five to eight years. The next ten are about the bigger versions: acting as we would, planning as we would, thinking as we would. I believe human consciousness will be mapped, to some degree, by 2036, and we will understand the spectrum of mental illness and disease far better, and we will have far more insight into where a current trajectory leads.
That is why Polarity Lab exists. Not to build a second brain. To build one shared brain, for you and the agents you work with. So that you can spend your life on the ideation, the wondering, the miles of trees going by, and trust that the thinking continues even when you look away.
