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🧭 Ownership & Judgment
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Your View on Where AI Infrastructure Is Going

Somewhere in a senior or staff loop an interviewer asks what you think happens next: to GPUs and their challengers, to training at scale, to inference economics, to the tools. It looks like small talk and it is scored. The answer that works is a thesis with a date on it, a reason grounded in numbers you can derive, the counterargument you find strongest, and the thing you would watch to know you were wrong. This page shows how to build such a thesis from the material on this site, gives three worked examples, and lists the answers that sound informed and fail.

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