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

The recent discussions have highlighted several critical insights and proposed directions for developing Bitcoin-native capabilities in systems. The consensus among contributors is that while the initial architectural proposal of LoRA-7B was merely a starting point, the actual needs of the project veer towards sovereign operational models that function independently on local infrastructure. This approach emphasizes the importance of systems capable of autonomously interpreting and analyzing transactions beyond mere execution, recognizing the deep semantics embedded in non-standard scripts and historical Bitcoin debates.

A redefined focus has been placed on constructing a robust benchmarking framework as the foundational step for advancing these systems. The planned repository will include a structured benchmark with three distinct tiers: an objective tier, which deals with script validity and other mechanically verifiable elements against Bitcoin Core; a contested tier, which will evaluate the fidelity of disagreement representation with detailed attributions; and an investigative tier aimed at performing complex interpretative tasks over specific blockchain segments. These tasks will require the system to trace transaction histories and justify changes, thereby demonstrating a deep understanding of blockchain activities.

Furthermore, the integration of a comprehensive corpus is seen as equally vital. This dataset will support the benchmark by providing the necessary inputs for training or refining system capabilities. The design of this corpus will incorporate structured metadata such as authorship, date, and discussion threads, ensuring that attribution is central to the data architecture. This effort will be coordinated with existing projects like Freedom Skills to avoid duplication and leverage shared knowledge bases efficiently. The forthcoming contributions and the establishment of these resources are poised to significantly elevate the capabilities of Bitcoin-native systems, driving them towards more sophisticated and autonomous functionalities.