claim
active
claim:conceptual-scaling-is-not-automatic-it-is-an-act-of-interpretationConceptual scaling is not automatic; it is an act of interpretation.
Author's emphasis on the interpretive nature of scaling.
Neighborhood — ranked by edge-count
Methods (1)
method
- Conceptual Scalingassociated_withInterpretive process for transforming many-valued contexts into formal contexts via scale attributes.
Related by similarity (8)
cosine ≥ 0.65 · no typed edgeEntities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.
- Clarification that levels of scale fails when detail is merely present but not doing anything—as in machine-made doors with superficially many panels that have no real life
- Mechanisms by which smaller competent subunits bind into a higher-level Self with larger goals; key example via gap junction connections.
- Normative claim about how to evaluate AI-generated content, using Deutsche Physik as cautionary analogy
- Claim about broader applicability of the scaling argument
- Cited hypothesis from Lin et al. 2022 suggesting larger models become more capable of deception
- Implication of PRH for 'scale is all you need' argument
- Articulates why a one-layer transformer with MLP is the appropriate starting target for mechanistic interpretability
- Consequence of lack of unfolding.