This is incredible. In April I used the standard GPT-4 model via ChatGPT to help me reverse engineer the binary bluetooth protocol used by my kitchen fan to integrate it into Home Assistant.
It was helpful in a rubber duck way, but could not determine the pattern used to transmit the remaining runtime of the fan in a certain mode. Initial prompt here [0]
I pasted the same prompt into o1-preview and o1-mini and both correctly understood and decoded the pattern using a slightly different method than I devised in April. Asking the models to determine if my code is equivalent to what they reverse engineered resulted in a nuanced and thorough examination, and eventual conclusion that it is equivalent. [1]
Testing the same prompt with gpt4o leads to the same result as April's GPT-4 (via ChatGPT) model.
It was helpful in a rubber duck way, but could not determine the pattern used to transmit the remaining runtime of the fan in a certain mode. Initial prompt here [0]
I pasted the same prompt into o1-preview and o1-mini and both correctly understood and decoded the pattern using a slightly different method than I devised in April. Asking the models to determine if my code is equivalent to what they reverse engineered resulted in a nuanced and thorough examination, and eventual conclusion that it is equivalent. [1]
Testing the same prompt with gpt4o leads to the same result as April's GPT-4 (via ChatGPT) model.
Amazing progress.
[0]: https://pastebin.com/XZixQEM6
[1]: https://i.postimg.cc/VN1d2vRb/SCR-20240912-sdko.png (sorry about the screenshot – sharing ChatGPT chats is not easy)