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PreviewAll content, scores and forecasts here are illustrative sample data — not reporting, and not measurements.What this means

Agitology
Multiple laboratories5 min readSample

Continual learning results fail to replicate at scale

Methods reported to avoid catastrophic forgetting in smaller models are found not to hold at frontier scale.

highAGI relevance: highmodelsreasoning

Agitology analysis

Why it matters

Learning is the dimension where progress most resembles engineering around a limitation rather than removing it. A negative replication is informative precisely because it is rarely published.

Key developments

  • Forgetting reappears at frontier scale under the same methods
  • Scaffolding-based approaches continue to work and continue not to be learning
  • Authors describe the underlying problem as open

Index impact

How this development moved — or failed to move — the dimensions it bears on.

  • −0.5LearningConfirms the dimension is engineering-bound, not solved.

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