stoneskin (Mr. Sun)

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19. Where does my ambition sit? Three suggestions (2026-10-15, asking Muse)

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After reading Rieseberg’s four measures of ambition (point 18), I asked Muse: where does my ambition sit?

Muse’s answer: not on any single measure — Altitude + Depth + Range, all three — but only on home turf.

Muse’s three suggestions:

  1. Set a hard rule for “unfamiliar territory”: cross-model review isn’t enough (blind spots from shared training data are correlated). Upgrade to the “unfamiliar-territory triple”: cross-check across model families + find one real human expert + verify in small steps. Write “find a human” into the process instead of “when I get around to it.”
  2. Subtract from your ambition: too many boards open at once (open-memex, opencode-fuse, thinktank, Spark Tank, these notes, daily trading checks). Depth needs sustained attention — ask quarterly “which boards can be closed out,” and put the freed attention into the one or two boards with the most compounding returns. Ambition isn’t opening more boards; it’s playing the key ones deeper.
  3. Turn the methodology into output: these notes and Rieseberg confirm each other — a “Chinese practitioner’s driver’s manual” is scarce goods in the Chinese tech world. Write it up and publish — output is the best Depth. Teaching forces you to think through the fuzzy parts, and those are usually where the next breakthrough hides.