I was trying to use ChatGPT4o to find out how many r’s are in the word strawberry and it was able to provide the correct answer using the GSL framework. I was wondering if anyone would like to discuss how GSL might help AI perform logic without having to use the ChatGPTo1 model with reasoning. I’d like to see what types of problems can’t be solved without “reasoning” but can be solved with GSL in the context. I’m looking for use cases such as the strawberry problem where I can use an older model + GSL to get a reasoning model answer. Something like ChatGPT4o + GSL = (ChatGPT4o1) but hopefully it thinks faster with GSL. Just exploring and looking for support! Keep me posted!
User: Please use as much GSL as possible to answer the question, “How many r’s are in the word strawberry?”
ChatGPT said:
ChatGPT
The question can be broken down using GSL as follows:
- Context Analysis (φ):
- The focus (φ) is on identifying a specific count of a character within a word.
- Temporal State (ᛝ):
- We are assessing a static word structure (ᛝ), implying no change over time.
- Choice Analysis (χ):
- The choice (χ) here is to identify and isolate each occurrence of the letter “r” in strawberry.
- Continuity (κτ):
- Ensures consistent analysis across the entire word length without interruption.
- Closure (χc):
- Completing the search within the boundary of the word, which is finite.
- Similarity (σι):
- Matching each character to the target “r” for similarity (σι) in character identification.
Conclusion: After applying these states and GSL symbols, the answer is that there are three instances of “r” in “strawberry.”