Paladinsane

Adventurer in the Science of Art 🎨 and the Art of Science 🔬. Researcher, iconoclast, creative firebrand of #IUSBCreates, and choice bit of calico. (they/them)

Eight Tiny Experiments for Attention by Design

Name the Rule  The next time you miss something obvious, write the rule your attention was following. Ignoring is rarely random. Test Without Notes  Before reviewing anything, write what you remember from memory. Check after. The gap shows what stuck. Pull or Push Check  When distracted, ask: was my attention pulled by salience or pushed […]

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Attention Follows Identity

We notice what feels relevant to “us.” Similarity sharpens attention; distance dulls it. This isn’t malice… it’s efficiency. Your mind allocates resources where payoff has historically been highest. The problem is that this shortcut doesn’t stay neutral. Over time, it shapes what changes you detect, whose mistakes stand out, and which stories feel plausible. When

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Eight Tiny Experiments for Thinking About Minds

Inspect the Effortless  Pick one task you do instantly. Write down three hidden steps that must be happening. If you struggle, that’s the point. Prefer the Predictive Model  Compare two explanations. Choose the one that makes a risky prediction. Bet on usefulness over elegance. Feature Hunt  Take an object you recognize easily. List its features

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Intelligence Is Symbol Manipulation in Disguise

Strip away the mystique and cognition has a simple core: symbols, operations, and interpretation. Symbols stand in for the world. Operations transform them. Interpretation puts them back into action. That loop (again and again) is thinking. Once you see this, the line between human and machine gets uncomfortable. Not because machines are magical, but because

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Models Don’t Just Explain… They Generate Questions

A good model doesn’t end curiosity. It multiplies it. Once you adopt a structured explanation, new questions appear automatically. What would be confusing? What would break if a connection failed? What errors should cluster together? This is the quiet power of modeling. It doesn’t just describe behavior… it suggests experiments, predicts errors, and points to

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Representation Is the Real Work

Inputs don’t decide outcomes. Representations do. The same external reality can be encoded in multiple ways… and each encoding unlocks different operations. That’s why changing how something is represented can instantly change what’s possible. If you’re stuck, the issue is rarely raw information. It’s the format your mind is using to hold it. Images invite

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When a Weird Model Beats a Clean One

Which explanation do you trust… the elegant one or the useful one? Clean stories are comforting. They feel rational. But cognition doesn’t care about comfort. It cares about performance. Sometimes the model that sounds ridiculous explains reality better than the one that sounds tidy. That’s a warning sign worth respecting. If your explanation needs endless

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