Fable's 5-year advice for applied AI careers: build skill at the constraint
brandon_galang · x · 2026-11-10
brandongalang shared Fable 5.2's answer on the biggest advice for people wanting to work in applied AI over the next five years: build your skill at the constraint, not at the output.
Logic: the cost of generating code, text, and analysis falls every year, but when a step gets cheap the constraint doesn't disappear — it moves upstream to specification (which problem to solve, what counts as correct) and downstream to verification (proving the result is correct). Value collects where these two steps limit throughput.
What to do:
- Use frontier models daily on real work — your sense of their limits goes stale in months;
- Learn to write evaluations, since an evaluation is a specification you can measure;
- Go deep in one domain — models lack your domain's context, data, and consequences.
Caution: re-check your assumptions every six months and be ready to drop skills the models absorb.
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