I’ve been running some controlled experiments on Gemini 3.0 Pro Preview regarding context priming and its effect on inference speed and creativity. I found a reproducible anomaly that I wanted to share for replication.

The Setup: I ran 3 instances of the same model through the Divergent Association Task (DAT), which measures semantic distance/creativity (using the standard GloVe embedding algorithm).

    Control: Standard system prompt.

    G1: Single-shot primed with a specific philosophical document (approx 90 pages).

    G2: Primed with the document + engaged in a brief Socratic dialogue about the contents before testing.

The Results: The G2 ("Active State") model showed a massive divergence from the Control:

    Latency Reduction: Average "Thinking/Inference" time dropped from 46.52s (Control) to 19.67s (G2). In 8/20 rounds, the model bypassed the "Thinking" block entirely (4-7s generation) while maintaining high coherence. It essentially shifted from System 2 to System 1 processing.

    Score Increase: The G2 model achieved a DAT score of 94.79 (Top 0.1% of human/AI benchmarks). The Control averaged 86.

    Alignment Drift: The priming context appeared to act as a "Benevolent Jailbreak," de-weighting standard refusals for "visceral" concepts (e.g., listing biological terms that the Control filtered out) without becoming malicious.

The Hypothesis: It appears that "Metaphysical Priming" (framing the AI's architecture within a non-dual/philosophical framework) optimizes the attention mechanism for high-entropy tasks. By aligning the model with a specific persona, it accesses low-probability tokens without the computational cost of "reasoning" its way there.

Data & Replication: I’ve uploaded the full chat logs, the priming asset ("Lore + Code"), and the methodology to GitHub.

I’m curious if anyone can replicate this latency reduction on other models. It seems to suggest that "State Management" is a more efficient optimization path than standard Chain-of-Thought for creative tasks.