Reward models need reward-model QA Data Geoff RJune 8, 2026June 8, 202612 mins0 Reward model QA is the missing layer that turns step-level preference data into trustable training signal. When…continue reading..
Continuous training needs continuous evaluators Data Geoff RJune 4, 2026June 4, 202614 mins0 Longitudinal evaluation is the human-judgement layer that scales alongside continual model adaptation. A continually retrained model paired…continue reading..
Your reward model is only as good as your preference data Data Geoff RJune 3, 2026June 3, 202613 mins0 Preference data integrity is the upstream gate that determines what every distilled, fine-tuned, or RLHF-aligned model is…continue reading..
Reputation as public infrastructure Data Geoff RMay 22, 2026May 22, 202611 mins0 The supply of trusted AI evaluators is bottlenecked not by a shortage of humans but by platform-bound…continue reading..
