DataAIEvaluator-backed benchmarking: your benchmark is only as good as your evaluatorsEvaluator-backed benchmarking is the structural counter to benchmark gaming. When the underlying evaluators carry verifiable… Geoff RJune 9, 2026June 9, 2026
DataAIReward models need reward-model QAReward model QA is the missing layer that turns step-level preference data into trustable training… Geoff RJune 8, 2026June 8, 2026
DataAIThe evaluator uniqueness primitive: from sybil resistance to agent evaluationEvaluator uniqueness, the property that one person can prove they are one unique evaluator without… Geoff RJune 5, 2026June 5, 2026
Evaluator-backed benchmarking: your benchmark is only as good as your evaluators Data Geoff RJune 9, 2026June 9, 202613 mins0 Evaluator-backed benchmarking is the structural counter to benchmark gaming. When the underlying evaluators carry verifiable identity, longitudinal…continue reading..
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..
The evaluator uniqueness primitive: from sybil resistance to agent evaluation Data Geoff RJune 5, 2026June 5, 202616 mins0 Evaluator uniqueness, the property that one person can prove they are one unique evaluator without disclosing identity,…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..
When benchmarks break: the case for traceable evaluator provenance Data Geoff RJune 1, 2026June 1, 202611 mins0 Evaluator provenance is the layer that turns benchmark results from “trust the publisher” claims into independently verifiable…continue reading..
Signed content for a world where platforms are AI Data Geoff RMay 23, 2026May 23, 202612 mins0 AI-mediated communication systems measurably shift the opinions of the groups they serve, and the question “did this…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..
Selective disclosure is the privacy primitive AI did not know it needed Data Geoff RMay 21, 2026May 21, 202612 mins0 AI safety evaluation needs verified demographic and expertise range in its evaluator pools, but evaluators cannot reasonably…continue reading..
Verifying humans without watching them Data Geoff RMay 20, 2026May 20, 202611 mins0 Proof of personhood for AI training data does not have to depend on biometric surveillance. On-device verifiable…continue reading..
