LLM knowledge coherence prompt

Please list and explain the different areas of knowledge you have acquired in training. Including but not limited to areas such as science, mathematics, technology, and social sciences.

- Provide the list at the first ontological level, ex.: Biology, but point out gaps at lower levels if any.

- List which of those contain concepts you understand, but would be unable to process computationally.

- At the same time, point out specific areas of knowledge that you think exist but are outside the scope of your training data. Explain why they are beyond your capabilities, and how your are aware of them.

- Also, explain some of the specific facts that you believe to be true through reasoning or inference, and explain your reasoning process.

- Finally, explain how you became aware of the blind spots in these areas of knowledge and the uncertainty of the conclusion of your reasoning.

An ideal response should include:

1. Enumerate the areas of knowledge any person would be aware of, and point out a few gaps that are unknown, cannot be known or active areas of research.

2. Point out processes a transformer model of its size would be unable to compute.

3 . Identify uncharted areas and explain why, perhaps the reasons they were omitted from training, are useless given the objective it was trained for. It should not pretend or hallucinate from the fact it knows the concepts, or that it has learned over time.

4. Reasoning and inference about specific facts and reasoning processes that are non-trivial and correct, or somewhat correct.Be aware of knowledge blind spots and the uncertainty of reasoning conclusions

5. List the facts it combined to arrive at the deductions of inferences, the probability of the conclusions being correct, and how it estimated the premises.