Yes, I copied your prompt exactly into a fresh context. I’m not surprised by the diversity of responses, that’s pretty common since there’s likely a random seed

Yes, I copied your prompt exactly into a fresh context. I’m not surprised by the diversity of responses, that’s pretty common since there’s likely a random seed for each chat instance. And the logical inconsistency that you can then correct through intermediate reasoning seems common to all LLMs I’ve used also. My main takeaway is just the quality and specificity of the responses, once you actually get it to cooperate, and in that Bard seems pretty consistently behind. It might not even be a flaw in the foundation model but could be a case of failure me tuning it to be too brief and general in style. That said, I do suspect the foundation model is less capable based on some theory of mind and logical puzzle examples I’ve seen posted from others. Plus it seems to be a poor coder even when it does cooperate.