Long-Term Capability Preservation (Evaluative Lens)
- Entity ID:
ent-20260423-e005f100000a - Type:
concept - Scope:
private - Status:
active
Description
The paper's sixth concern, treated as an evaluative lens rather than a co-equal value: does the architecture preserve long-term human capability? Grounded in Anthropic's own 'paradox of supervision' finding (Huang et al. 2025) that overreliance risks atrophying the skills needed to supervise, and Shen & Tamkin (2026) finding developers in AI-assisted conditions score 17% lower on comprehension. Not prominently reflected as a design driver in the codebase.
Key claims
- Developers in AI-assisted conditions score 17% lower on comprehension tests
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