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I had an interesting “chat” with Google Gemini and Microsoft Copilot about how they understand their own capabilities. I wanted to compare both of them with ChatGPT, since I already use ChatGPT extensively, but also have pro access to Gemini through my Google account and Copilot through work. What I discovered is that ChatGPT allows me to create countless conversations that can all be used to build a knowledge base on any subject I choose. For example, I can start 101 different chats about my business or my business avatar, and as long as I don’t delete them, I can pull information from all of those conversations later. Gemini works differently. According to Gemini, I can start multiple conversations about different aspects of my business, but those conversations don’t cross-reference each other unless they’re within the same thread. Further, if I combined all of those inquiries in one thread, eventually a Gemini would start to “forget” information if a thread gets too long. With Copilot, I learned that this issue is less of a problem. I can start one main thread and dive into multiple aspects of a subject, and it will still reference earlier parts of the conversation reliably. I can also start separate conversations if I want, but within a single thread, according to Copilot it is less likely to lose “forget”. This was eye-opening because, up until now, I’ve only used ChatGPT regularly. Exploring Gemini and Copilot helped me understand how each platform handles data retention and conversation structure. My mission, is to figure out which setup best fits my comprehension style and data collection needs. I do plan to cross reference from time to time, but time constraints with research and just the convenience of going to one makes it unlikely that I will do that on a regular basis. Ultimately, I want one main conversational thread that I can reference with search parameters, making it easier to locate information quickly instead of chasing down scattered pieces across multiple platforms.