explaining latch system to agent

Method of informing an AI agent about human phenomenological latch model to improve performance; used by Atlas Forge with OpenClaw.

Neighborhood — ranked by edge-count

framework

Stack machine model of tanha
implements
Cube Flipper's model that tanha functions as a mental stack of latches, with tasks pushed/popped and tension released.

cosine ≥ 0.65 · no typed edge

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

Explaining a system of latches to an OpenClaw agent improved its performance, suggesting human phenomenology can inform AI capability gains.claim0.767
Referenced as an early example of human-to-AI phenomenological transfer; attributed to Atlas Forge.
Latch-Bridge Mechanismconcept0.747
Smooth muscle mechanism where myosin heads latch to actin, holding tension without ongoing energy; forms/dissolves over seconds to minutes; can persist minutes to years.
Quote: stress leak as signaling mechanismconcept0.709
If a model is taught about tanha/latch systems, it may improve its performance in managing mental stacks.hypothesis0.702
Hypothesis prompted by Atlas Forge's claim; suggests a new training intervention.
mental latchconcept0.701
A tension held to keep items in short-term memory; part of the stack machine model of tanha.
Agent Harnessconcept0.701
The external non-parametric context and infrastructure (prompts, skills, memories, tools) through which an LLM is deployed for task execution
How Do Biological Systems Exploit The Same Mechanismsquestion0.699
Let the system do the workclaim0.690
LTPBR principle 8: instead of grading and earth moving, allow geomorphic processes (erosion, deposition) to shape the river.