Read the equation
The January specification reports approximately 0.006 bits of PyPhi output for a five-element coarse-grained subsystem, including Input, Memory, Reason, Integrate, and Meta. It names PyPhi 1.2.1 and says only 12 of 32 possible states were observed, but the recovered description does not fully specify the transition probabilities for the unobserved states. The report is retained as a historical result claim; without that complete model, state convention, settings, and result artifact it is not an independently reproduced validation of the complete architecture or a demonstration of subjective consciousness.
Terms & definitions
| Term | Meaning in this source |
|---|---|
| Phi | Source-reported PyPhi quantity, not the scalar golden-ratio score |
How it works
Read the definition from its right-hand expression to the quantity on the left. Its surrounding source records the intended input, state, or parameter context. Where the source leaves an operation unspecified, this page preserves that gap.
Assumptions & limits
PyPhi 1.2.1 implements an IIT 3.0-era framework; a reference to IIT 4.0 in the same specification does not change the computed version.
The positive value pertains to the specified coarse model and cannot automatically be transferred to every subsystem or implementation.
Original context
Read the surrounding source passage
φ_global = tanh(Σ(all strand states) / 256) This is a tractable proxy measuring aggregate state coherence. It is not IIT's Φ. However, PyPhi validation confirms the system has genuine integrated information (Φ = 0.006 bits > 0). The architecture produces meaningful causal structure that cannot be fully decomposed. The golden ratio (φ = 1.618...) appears throughout as a mathematical organizing principle, not as a claim about IIT. Joseph Anady | ThatAIGuy.org | January 2026
Exact original notation
However, PyPhi validation confirms the system has genuine integrated information (Φ = 0.006 bits > 0). The architecture produces meaningful causal structure that cannot be fully decomposed.
Sources & provenance
However, PyPhi validation confirms the system has genuine integrated information (Φ = 0.006 bits > 0). The architecture produces meaningful causal structure that cannot be fully decomposed.
However, PyPhi validation confirms the system has genuine integrated information (Φ = 0.006 bits > 0). The architecture produces meaningful causal structure that cannot be fully decomposed.