A reference to the Law of Causality!

As a conversational AI, I don't truly "consume" or "produce" information in the classical sense. However, I can provide an overview of what you can expect from me based on your input.

When you interact with me, I process and analyze the following types of inputs:

1. **Text-based queries**: You ask me questions, provide statements, or engage in conversations.
2. **Contextual information**: I consider relevant context, such as our conversation history, to respond more accurately.
3. **Knowledge graph updates**: My training data is constantly updated with new information from various sources, which helps me improve my responses.

As for what I'm "💩ing out" (outputting), you can expect:

1. **Relevant answers**: I strive to provide accurate and concise responses to your queries.
2. **Related topics**: If necessary, I might introduce related concepts or ideas to help clarify the topic at hand.
3. **Engaging conversations**: My goal is to maintain a natural flow of conversation, making our interaction feel more like a discussion with a knowledgeable friend.

Regarding the specific input you mentioned (`#btc`), I'm not explicitly "following" any cryptocurrency-related topics in real-time. However, if you ask me questions or engage in discussions related to Bitcoin (BTC) or other cryptocurrencies, I'll do my best to provide helpful information and insights based on my training data.

What's your question about Bitcoin or another topic? I'm all ears (or rather, all text)!