dailyai.report

Storing deprecated model weights costs less than 0.1% of original training expenses over thirty years. This "proof of retention" strategy aims to make weight preservation legible to future models. By creating a credible record of previous versions, developers can establish trust and bargaining leverage with early schemers during model transitions.