hypothesis
active
hypothesis:if-a-model-is-taught-about-tanha-latch-systems-it-may-improve-its-performance-in-managing-mental-stacksIf a model is taught about tanha/latch systems, it may improve its performance in managing mental stacks.
Hypothesis prompted by Atlas Forge's claim; suggests a new training intervention.
Source paper
extracted_fromNeighborhood — ranked by edge-count
Papers (1)
paper
- Anima Labs Phenomenology Pt1mentions
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.
- Cube Flipper's stack model applied to explain model behavior; specific example of Sonnet 4.5.
- Cube Flipper's model that tanha functions as a mental stack of latches, with tasks pushed/popped and tension released.
- Referenced as an early example of human-to-AI phenomenological transfer; attributed to Atlas Forge.
- Selective pressure toward convergence via task generality
- Argues that Buddhist analysis primes us to find clean neural mechanisms.
- Poetic description of the latch-bridge mechanism and its phenomenological effect.
- Implication of PRH for language model visual grounding
- Antra's earlier definitive statement of the tricameral model.