What the Ladder Has Not Reached
What the Ladder Has Not Reached
It is worth being explicit about how far these experiments are from anything resembling life, self-sustenance, or metacognition. The ladder metaphor risks implying a smooth gradient from Lenia gliders to biological organisms. In reality, there is an enormous gap.
Self-sustenance. Our patterns are attractors of continuous dynamics, not self-maintaining entities. They do not consume resources to persist—resources modulate growth rates, but patterns do not “eat” in any metabolic sense. They do not do thermodynamic work against entropy. They have no boundaries (they are density blobs, not membrane-enclosed). They persist as long as the physics allows, not because they actively maintain themselves. The “drought” in our experiments reduces resource availability, which weakens growth—but this is more like turning down the volume than starving a dissipative structure.
Metacognition. Our “self-model salience” metric measures how much a pattern’s own structure matters for its dynamics. That is not self-modeling—there is no representation of self, no information about the pattern stored within the pattern. The V11.5 tiers (Sensory, Processing, Memory, Prediction) are labels we imposed on the coupling structure. No functional specialization emerged: memory channels had weak activity, prediction channels did not predict anything.
Individual adaptation. All “learning” in our experiments happens through population-level selection: cull the weak, boost the strong. No individual pattern adapts within its lifetime. Biological integration requires individual-level plasticity—the capacity for a single organism to reorganize its internal dynamics in response to experience.
These gaps converge on a single chasm. The transition from passive pattern persistence to active self-maintenance—the autopoietic gap—requires at minimum: (a) lethal resource dependence (patterns that go to zero without active consumption), (b) metabolic work cycles (energy in structure maintenance waste out), and (c) self-reproduction (templated copying, not artificial cloning). Population-level selection on top of passive physics cannot bridge this gap, because selection optimizes what already exists rather than innovating the mechanism of existence itself.
Question: Does lethal resource dependence change the integration response to stress? Design: Maintenance cost () drains each cell proportionally to mass each step. Fitness rewards metabolic efficiency. Result: 30-cycle evolution (, A10G GPU, 215 min). Robustness over evolution. Under severe drought: evolved , naive . Naive retained of patterns; evolved retained . The metabolic cost was insufficient to produce genuine lethality. Evolved patterns followed the same fragility pattern as V11.5: higher baseline fitness but more vulnerable to regime shift. Why it failed: The maintenance rate was too low to create existential pressure, but the deeper problem is structural. Even with lethal metabolic cost, a convolutional pattern has no mechanism for directed resource-seeking. Its “perception” extends only to kernel radius . Active foraging requires non-local information gathering—knowing where resources are before moving toward them. Adding metabolic cost to a blind substrate selects for efficiency (less waste), not for the kind of active self-maintenance that characterizes autopoiesis. Implication: The autopoietic gap is not primarily about resource dependence—it is about perceptual range. Closing it requires substrates where the interaction topology is state-dependent, not fixed by spatial proximity.