pragmatism-created-both-crisis-and-partial-remedy

IN derived (depth 10)

Created 2026-06-21T11:35:09+00:00 · Reviewed 2026-06-21T15:37:01+00:00

ML's pragmatism principle is both a driver of architectural innovation and a source of theoretical fragility — the cross-field experimentation it enables contributed to discovering the manifold-geometry framework, which now provides a principled foundation for architecture design, yet this foundation does not address the reliability concerns that pragmatism's preference for empirical results over theoretical rigor helps perpetuate.

Justifications

SL — The common root (pragmatism) of ML's innovation pathway and crisis spiral is also responsible for discovering the geometry-based design foundation that cannot address the crisis it caused

Antecedents (all must be IN):

IN pragmatism-root-of-innovation-and-crisis — ML's pragmatism principle is the common root of both its innovation pathway and its crisis spiral — pragmatism enables the cross-field pollination that drives architectural advances while simultaneously producing theoretical fragility, and economic incentives sustain this same pragmatism over rigor, making crisis resolution require abandoning the very principle that enables progress.
IN architecture-design-has-geometry-but-lacks-reliability — ML architecture design possesses a principled theoretical foundation (manifold-matched compression from data geometry) but this foundation addresses only which architectures work, not whether they work safely — the manifold hypothesis explains inductive bias effectiveness without addressing adversarial robustness or deployment reliability.

Dependents

These beliefs depend on this one:

IN feature-engineering-canary-for-crisis — The persistence of manual feature engineering is a canary for ML's deeper crisis dynamic — it reflects not just the manifold hypothesis's incompleteness as a practical guide but the broader pattern where pragmatism creates capabilities (deep learning's partial automation of representation) without the theoretical depth to complete them, mirroring the innovation-without-reliability pattern at the methodology level.