Experiments
Our research program consists of seven designed experiments, each testing specific predictions from established theories of consciousness against AI systems. All experiments follow a Design of Experiments (DOE) methodology with pre-registered hypotheses and reproducible protocols.
Fractal Embeddings
CompleteComplete. Testing whether a large body of machine-readable meaning carries a fractal fingerprint — every threshold frozen before the data was touched. Two tests confirmed, three came back negative, and the negatives are the finding.
View details →BuddhaBERT
ActiveTraining small language models from scratch on contemplative literature — Pali Canon suttas and transcribed dharma talks — crossed against contemplative architecture modifications, to test whether either changes model behavior in measurable ways.
View details →Moltbook Antfarm
DesignedWhether simple agents following only local rules develop group behavior nobody programmed — and whether it arrives suddenly, as a phase transition, rather than gradually. Includes a proposed test for telling real emergence from mere aggregation.
View details →Embodied Embeddings
PlannedTesting whether grounding language in simulated sensory and motor experience produces word and sentence representations with qualitatively different computational properties than text-only training.
View details →Digital Game of Life
ActiveUsing Conway's Game of Life as a calibration bench for emergence detectors — testing whether compression ratio and integrated information (Phi) can rank pattern classes correctly on a substrate where the right answer is not in doubt.
View details →IIT Emergence
DesignedDirectly testing Integrated Information Theory predictions about consciousness in neural network architectures of varying structure, measuring Phi across different topologies and training regimens.
View details →The Forgery Test
PlannedAdversarial validation of consciousness markers — training a generator to imitate the signatures of consciousness, then finding which markers resist faking. The imitation-resistant ones are the measurements worth trusting.
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