Model Parameter Updates

Parameterization is needed for abilities that cannot be expressed through external symbols: medical image recognition, natural prosody, removing the “AI flavor.” The solution is determined not by task stability, but by the nature of the ability. The downside: long-term stable, hard rules (bank transfers) cannot be left solely in parameters – deterministic server code is needed. Before training: remove confidential data, filter erroneous trajectories, preserve an independent regression set; after – check for forgetting of general abilities and safety alignment.

Related: [Four Update Carriers], [Three Post-training Stages]