A new paper claims GPT-5.5 contains 9.7T parameters by regressing factual capacity against model size. The author uses a specific dataset of varying difficulty to extrapolate counts for closed-source systems. This methodology remains speculative and lacks direct verification. Practitioners should treat these estimated parameter counts as unproven hypotheses rather than technical facts.