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Better methods to think better, and to be less wrong.
Two decades ago, the US military funded some research into how humans sensemake. This piece is about that theory — the best theory of sensemaking that we have — why it matters for expertise, and how you can apply it to make sense of AI.
Keeping up with a fast changing, revolutionary technology can seem scary. Here are some ruthless guidelines to make sense of it effectively.
A simple, universal rule for AI use, built on top of some smart philosophy, designed to be used as guiding policy for your business.
How to resist thinking of large language models as friends. Or sentient things. Or intelligences you have to treat like God.
A simple, effective — though not easy! — technique for solving information overload. Written from practice.
Learning from history is often problematic — history is context and path dependent, and it doesn't repeat itself. But what if there is a better way to read history, one that sidesteps these problems?
Believability is a heuristic for practical advice. Here's one surprising way that it can fail.
Everything I know about learning in novel, ill-structured domains, summarised in one piece.
How to hunt for useful expertise research, emotional regulation work, or better learning techniques, straight from the primary literature.
Why bother learning history, when history isn't likely to repeat itself? We take a look at what Cognitive Flexibility Theory tells us about the best way to learn from other people's experiences.