modelthinking
What generalists are
Generalists are usually curious people who like to hop around from domain to domain. They enjoy figuring things out, especially in areas that are uncertain or new. They’re good at solving problems that domain experts struggle with, because they’re able to bring bits of knowledge from diverse fields together.
As Nat notes, because
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.modelthinking
He reframes what it means to be a generalist—not just someone with shallow knowledge across multiple domains, but a curious, adaptable problem-solver who thrives in environments where rules are unclear and patterns aren't obvious. In an allocation economy, the winners won't be those who know all the answers, but those who know which questions to as
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.modelthinking
Every model, whether LLM or ML, will operate best if it is focused and specializes in specific conclusions it is trying to make. For example, I will make ChatGPT bots for very specific parts of my research, reading, and trading processes. Create specialized bots and models, then structure them hierarchically. The goal is to run a suite of bots, mod
... See moreCapital Flows • AI & the New Age of Learning
When I think about how specific companies, factors, technologies, or even countries function in this spread, it begins to clarify how I should identify the asymmetry that exists. The critical thing about this spread is that many times, there isn’t a high-quality way to quantify the moving parts. There is a reason that people who get hard science de
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The whole point here is that just because you see that a new form of technology is a helpful tool to increase the speed of iteration, it doesn’t mean you can make money from it. The global economy is based on the exchange of goods and services between OTHER PEOPLE. This means that other people are using the same tools you are.
By this time, every si
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The use of AI, machine learning, deep learning, and artificial intelligence are creating the perception that understanding the causal mechanics of a system or how the world actually works doesn’t matter because all I need to have is a marginal degree of statistical significance in my actions to make A TON of money.
Capital Flows • AI & the New Age of Learning
The perception is that in today’s world, you don’t need to learn how to think as long as you can iterate faster than others.
Capital Flows • AI & the New Age of Learning
The speed at which things are adapting is accelerating. Everyone can feel this, but not everyone is able to put their finger on HOW they should respond to it. The pitfall I see is that many old-school thinkers are ignoring the speed at which things are changing with the excuse of “this time isn’t different.” On the other side of the spectrum, you h
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- Algorithm and the Role of Bridging Agreement – How It Works: Rather than a simple majority rule or immediate publication, the tool uses a “bridging-based agreement algorithm” that evaluates notes based on whether people who typically disagree find them helpful. This anti- manipulation feature is designed to ensure the note is neutral and infor- mat