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

The discussion highlights the necessity of a more nuanced approach to evaluating QA benchmarks for contested topics in blockchain technology. The proposed two-tier structure for the benchmark aims to differentiate between objectively verifiable information and areas of contention where various arguments and assumptions need to be accurately represented instead of providing a singular, oversimplified answer. This structure would include an objective tier focused on script validity, spending conditions, and descriptor parsing, which can be mechanically verified. The second, more complex tier, would assess the model's ability to accurately reproduce the structure of a disagreement by capturing who argued what and under which assumptions.

Further insights into the sources that could enrich this benchmarking process were discussed. Pre-2015 IRC logs, particularly from bitcoin-wizards, are considered valuable as they contain design reasoning that predates formal BIPs, making them crucial for understanding the foundational 'why' behind certain decisions, although they may require aggressive filtering due to their lower signal-to-noise ratio. Additionally, the bitcoin/bitcoin repository on GitHub emerges as a high-signal source due to the adversarial review of technical claims, which are systematically resolved against the actual consensus code. However, there remains a technical question about whether the github-metadata-backup preserves the linkage between review comments and their corresponding diff hunks, which is essential for generating coherent (code, critique, resolution) data sets directly or if further alignment against the git history is necessary.

This refined approach to data gathering and benchmark structure aims to address both raw data acquisition and the challenges of annotation and benchmark design in order to develop a more effective and reflective evaluation model for protocol reasoning within the blockchain domain. The updated source list now includes BIPs, ML/Delving archives, Core source + functional tests, GitHub issue/PR dumps across various repositories, Stack Exchange, OpTech transcripts, CoreDev transcripts, and IRC archives from 2010 onwards, along with miniscript/descriptor generation tools, providing a comprehensive basis for the planned benchmark improvements.