Justin Choice "JC"

Nobody wants to admit this yet, because nobody has an incentive to say this. But I say what's true. The value someone can get from ai is correlated with their metacognition which is correlated with their IQ. The number of people who build stuff w/a.i. will never be above 10%.

ai is moving at an ungodly speed and i genuinely think 99% of people have no idea what’s happening i’m at a point where i have ai agents running entire parts of our company autonomously. seo, email, content, research, growth, you name it these aren’t chatgpt wrappers waiting for me to give them prompts. they know our business inside out, work in parallel, make decisions and barely need any input from me one person can now realistically do the work of 50 i genuinely believe Content Rewards will become a multi 10 figure company with less than 10 people in the entire marketing department and the scary part is i’m more confident in that prediction every single day people don’t realize how ridiculous of an opportunity this is. the amount of leverage you can have as one person right now would’ve been unimaginable even a year ago and it’s only getting better if you’re not figuring out how to capitalize on ai right now you’re making a massive mistake we’re entering an era where headcount means absolutely nothing compared to leverage

Chomsky was wrong. Researchers found your brain doesn’t store language the way every textbook since 1957 claims. For decades, the undisputed rule of linguistics, led by Noam Chomsky, was that human language is hierarchical. We were told our brains process language using complex "grammar trees." That we secretly build deep, abstract, mathematical rules in our heads before we speak. This new paper proves that is completely wrong. Researchers at Cornell University analyzed how people actually process and produce language in real time. They found sequences. Linear chunks. When we speak, we aren't calculating deep syntactic rules. We are just predicting the next most logical sequence of words based on the context of the words right before it. We string linear chunks together. If this sounds familiar, it should. This is exactly how Large Language Models like ChatGPT work. For years, critics have dismissed AI as "just a next-token predictor." They said it isn't truly intelligent because it doesn't understand deep grammatical hierarchies like humans do. But this paper suggests humans don't use those hierarchies either. We are just predicting the next chunk. Language isn't a rigid tree of mathematical rules. It's a linear stream of contextual predictions. We thought we were building AI to mimic the complexity of the human brain. It turns out, the human brain was just running a simpler algorithm all along.