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By Akram Ayyash · Macro · Crypto · AI · From an Operator's Chair

№ 033Deep DiveOct 14, 20268 min read

Who Does the Extrapolation?

AI freed us from the interpolation grind. Nobody freed up the attention it takes to do what's left.

In August I argued that AI is an interpolation engine: it matches new situations against the codified body of human knowledge, which is why it swallowed contract review, code, and audit sampling, and why it has produced no new physics. Most professional work is interpolation. So the premium migrates to the rare thing, extrapolation: pushing the body of knowledge outward, into territory where there is nothing to match against.

That piece left two questions open, and they are harder than the one it answered. If extrapolation is the work that still pays, are we producing people who can do it? And is there a way to teach it?

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The Author

Akram Ayyash

Finance and technology mostly talk past each other. Akram has worked on both sides: credit trading and structuring on Wall Street, then treasury and portfolio management in crypto and fintech. Span is the bridge he wanted to read, written for people who allocate capital and want to understand how tech, AI and crypto fit into the global financial plumbing.

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