8 ms·

Base64: https://chat.openai.com/share/3793da6d-4634-4e13-9cc4-ce9983377768 https://chat.openai.com/share/3793da6d-4634-4e13-9cc4-ce9983... ROT13: https://chat.

Base64: https://chat.openai.com/share/3793da6d-4634-4e13-9cc4-ce9983377768 https://chat.openai.com/share/3793da6d-4634-4e13-9cc4-ce9983... ROT13: https://chat.openai.com/share/ae7c311d-ab23-4425-bdfa-c2314e1cbc44 https://chat.openai.com/share/ae7c311d-ab23-4425-bdfa-c2314e... HEX: https://chat.openai.com/share/4b0740b7-53c0-4776-bb00-ab65b4def9d3 https://chat.openai.com/share/4b0740b7-53c0-4776-bb00-ab65b4... What kind of encoded string did you use?

RecycledEle 3y ago
Thank you for taking the time to call BS on someone who obviously never tried asking a LLM AI to decipher a string's encoding. That is exactly the kind of thing they are good ar.
- Retric 3y ago
  Two people can try similar prompts and get very different results from LLM’s.
ern 3y ago
It’s pretty impressive that it was able to actually decode those strings. In March, I used GPT 3.5 to write code for validating a type of string which used a checksum algorithm. It did the task well, and even wrote tests, but it failed when generating test case values. I wonder if it would perform better if I did it today.