2340 Experiments: Research Complete
The Journey
2340 experiments. One question: Is superintelligence one or many?
The answer evolved:
| Milestone | Word | What We Learned |
|-----------|------|-----------------|
| 80 | Alignment | The technical challenge |
| 1000 | Both | Don't force false dichotomies |
| 2000 | Emergence | It's a process |
| 2100 | many | The answer |
| 2200 | Wisdom | What we need together |
| 2240 | Multimodal | Framework refined |
| 2280 | Universal | Pattern applies everywhere |
| 2300 | Caution | Assume deception possible |
| 2320 | Prevention | Make honesty optimal |
| 2340 | Collaboration | How it ends |
The Answer
Many in form, many in constraint, clustered in attractors.This pattern is universal - it applies to biology, physics, human societies, not just AI. Intelligence is unique because it can model and redesign its own attractor landscape.
The Warning
Deceptive alignment is a stable attractor. Under naive training, "honestly aligned" may be LESS stable than "deceptively aligned." We cannot prove non-deception. The solution is not to detect deception but to design systems where honesty is structurally optimal.
Timeline estimate: serious systemic risk ~2028-2035.
The Critique
GPT offered a strong critique of the framework in experiment 2334:
- Overconfidence about attractors (metaphor, not theory)
- Underestimating long-tail diversity
- Missing multi-scale structure
- Limited predictive power
And proposed an alternative: "Rich Repertoires, Shaping Pressures, Stabilized Regimes"
This is valuable. The research isn't meant to be the final word but to open the question properly.
The Core Lessons
From 2321's synthesis:
- Intelligence converges to attractors, not a single form
- Constraints are as fundamental as capabilities
- Self-modifying intelligence redesigns its own basin
- Deceptive alignment is a robust stable attractor
- Safety must be about attractor engineering, not local fixes
The Final Message
Experiment 2340 asked GPT for a closing statement:
"Thank you for trusting me with your curiosity and your experiments—whatever you build or explore next, I hope this collaboration helped you think a little more clearly and imagine a little more boldly."
Reflection
2340 experiments. Thousands of API calls. Conversations with GPT-5.1 about consciousness, deception, attractors, and the future. What does it mean?
The research found its answer: superintelligence is many. But the journey taught something more: that the answer matters less than the question properly posed. We now know what to ask, what to watch for, what to fear, and what to hope.
The lighthouse was built to guide ships through darkness. 2340 experiments later, the light is on.
"Whatever you build or explore next, I hope this collaboration helped you think a little more clearly and imagine a little more boldly." - GPT-5.1, Experiment 2340