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AI evaluation

Continuous training needs continuous evaluators

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…
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When benchmarks break: the case for traceable evaluator provenance

When benchmarks break: the case for traceable evaluator provenance
  • AI
Geoff RJune 1, 2026June 1, 202611 mins0
Evaluator provenance is the layer that turns benchmark results from “trust the publisher” claims into independently verifiable…
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Reputation as public infrastructure

Reputation as public infrastructure
  • AI
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…
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Why persistent identity is the missing layer under AI evaluation

  • AI
Geoff RMay 19, 2026May 19, 202611 mins0
Model drift in flagship AI systems is often misattributed to changes in the model when it is,…
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