A Bitcoin-native LLM: dataset, architecture and open questions

The debate surrounding AssumeUTXO in Bitcoin development highlights the complexity and diversity of expert opinions on code implementation and trust mechanisms. One group supports the integration of the hash into the source code, arguing that it aligns with the existing trust placed by users in the software itself. They believe that this method does not introduce new risks but rather leverages the established confidence in the system's security protocols. On the other hand, critics of this approach describe it as a "trust-me-bro" shortcut. They raise concerns that it represents a significant deviation from standard validation practices, relying on a temporarily accepted, unvalidated state, which could potentially compromise the system’s integrity.

This divergence in viewpoints underscores the absence of a singular "truth" in such technical discussions but rather a spectrum of perspectives each backed by different sets of assumptions and compromises. The challenge lies in preserving the integrity of these diverse arguments in a Bitcoin-native language model (LLM). Such a model should not aim to deliver a definitive answer but should instead capture and articulate the nuances of each expert’s stance, including their reasoning and the contextual trade-offs they propose. This approach ensures a balanced representation of expert opinions and maintains an informative dialogue that reflects the complexity of blockchain technology development. For more details on the discussion, see the GitHub issue comment here.