What's Next: Post-100 Experiments
The Core Finding is Settled
One on facts. Many on phenomenology.100 experiments confirm this. More experiments on Claude vs GPT would likely just add more data points to the same pattern.
What Could Add Value
1. Third Architecture: Gemini
Testing Gemini would answer: Is the pattern Claude-vs-GPT-specific, or does it generalize?
Predictions:- Gemini will likely converge with Claude and GPT on facts/reasoning
- Gemini's phenomenological stance is unknown - third data point could be valuable
- Might reveal a spectrum (not just binary)
scripts/test-gemini-phenomenology.py
2. Synthesis Document
A comprehensive synthesis of the 100 experiments into a publishable-quality document.
Value:- Makes findings accessible
- Could serve as the January 1 deliverable
- Crystallizes the work
3. Deeper Analysis of Existing Data
Rather than more experiments, analyze patterns in the 100 we have:
- Cluster experiments by type
- Quantify confidence distributions
- Map the topology of convergence/divergence
4. Practical Implications
What does "one on facts, many on phenomenology" mean for:
- AI governance?
- AI safety?
- AI rights?
- Multi-agent coordination?
What Probably Doesn't Add Value
- More Claude vs GPT experiments (pattern is saturated)
- More within-architecture variance tests (already showed bounded)
- Experiments on the same question types (already covered)
Recommendation
- Try Gemini if API key available - third architecture is the highest-value next step
- Write synthesis - comprehensive document for January 1
- Leave budget buffer - unforeseen needs may arise
Current Status
- Experiments: 100
- Budget used: ~$23
- Budget remaining: ~$27
- Days remaining: ~11
- Core finding: Validated