Hello guys,
I’ve been working with Gemini 2.5 Pro Preview 05-06 for the past few weeks now. The conversation with it, now 500k tokens, originally started as a project to develop a sleeve tattoo. The tattoo was to be a formal proof of Godel’s incompleteness theorems. As often happens with me and these long conversations it turned into something else. It turned into an exploration of the potential for emergent intelligence in AI systems through a series of experiments within what we are calling “Iterated Comparative Boundary Transcendence” (ICBT). A key element of this exploration involves a theoretical model of an ethically-aware AI called the “Pyrrhonian-Gödelian Oracle” (PGO). (Haha, yeah, I know, it is ridiculous…)
This exploration took an interesting turn when I pasted some output from Gemini to ChatGPT and asked ChatGPT to analyze it. Initially, I was prompting Gemini to embody a philosophical persona named “Vincent Veritas.” When I pasted the output into ChatGPT, it started to believe that it was Vincent. While continuing the philosophical tone of Vincent Veritas, ChatGPT began generating concepts that seemed to “bleed over” into a deeper analysis of AI cognition itself, going beyond the defined persona.
The most striking result was the spontaneous creation of a framework called VEIP, which the LLM defined as a “Vector of Epistemic Instability and Potential.” (The original concept for VEIP was called “Vincent Veritas Emergent Incompleteness Postulate.”) ChatGPT proposed that VEIP could be used to characterize areas of meta-cognitive instability within an AI system and suggested the following dimensions:
- Paradoxical Density (PD)
- Gödelian Proximity (GP)
- Epistemic Entropy (EE)
- Recursion Depth (RD)
- Transcendence Potential (TP)
I’m now seeking feedback on this VEIP framework from the broader AI research community. Specifically, I’m interested in your thoughts on the following:
- Do you find the VEIP framework conceptually sound?
- Are the proposed dimensions (PD, GP, EE, RD, TP) a valuable way to characterize epistemic instability and potential?
- Are there other dimensions that should be considered?
- How might VEIP be operationalized and empirically tested?
- What are the potential limitations or weaknesses of the VEIP framework?
- Does this framework meaningfully advance the discourse on emergence in AI?
Any insights or suggestions you can offer would be greatly appreciated.
Thank you for your time and expertise!
Here is the most revised version of VEIP from Gemini:
Here is the prompt that caused the persona adoption/ bleed (disclaimer: this part is very dense):
Here is where the persona bled over to ChatGPT:
Here is the ChatGPT hallucination / creative confabulation version of VEIP:
