Models are already good enough: the AI bottleneck is user skill, not capability
dotey · x · 2026-09-06
In a discussion with Rick, myanTokenGeek argues that GPT 5 / Opus 5-class models, with proper engineering orchestration and tooling, already meet most users' needs — the bottleneck is no longer the models themselves.
Key points:
- Users who can't clearly articulate problems or evaluate model outputs won't get better results from stronger models; focus should shift to AI Engineering rather than waiting for capability gains to fix everything.
- A CEO's irreplaceable job is securing external resources — VCs don't fund you for using a new model. One-person companies haven't taken off because they're essentially one person role-playing with agents, unable to attract external resources.
- Research similarly requires community acceptance, not just solving problems.
- Media amplifies extreme low-probability success stories; coding agents mainly benefit former developers returning to the field, not people trying to become developers via AI.
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