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Eigenform / Recursive Self-Improvement / Continuous Learning Tool Tips / Tags / Evaluation
All AI 16 Continuous Learning 15 LoRA 13 Fine-Tuning 11 Self-Training 8 SFT 7 Catastrophic Forgetting 6 Continual Learning 6 AI Agents 5 Data Selection 3

Evaluation

When Pass@1 Craters, Your Agent Might be Learning to Learn
Oct 26, 2026

When Pass@1 Craters, Your Agent Might be Learning to Learn

Pass@1 fell to zero in our self-training loop while the agents improved: they had learned to use failing first attempts as probes. Why, and what to measure.

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Why First-Attempt Pass@1 Drops as SFT Agents Improve
Oct 21, 2026

Why First-Attempt Pass@1 Drops as SFT Agents Improve

Why can pass@1 fall to zero while an LLM agent gets better at its task? Our 13-generation SFT study, the probe-then-solve mechanism, and how to detect it.

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Recent Posts
Reward Hacking in Autonomous Agent Training
Reward Hacking in Autonomous Agent Training Nov 01, 2026
Benchmark Contamination From Within: Probe Leak Budgets
Benchmark Contamination From Within: Probe Leak Budgets Oct 31, 2026
Anchored SFT KL Divergence Fine Tuning: Unifying DFT and Trust Regions
Anchored SFT KL Divergence Fine Tuning: Unifying DFT and Trust Regions Oct 30, 2026
Experience Replay to Stop Catastrophic Forgetting in LLMs
Experience Replay to Stop Catastrophic Forgetting in LLMs Oct 29, 2026
What Are Elastic Weights? EWC vs. LoRA in Continual Learning
What Are Elastic Weights? EWC vs. LoRA in Continual Learning Oct 29, 2026
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AI 16 Continuous Learning 15 LoRA 13 Fine-Tuning 11 Self-Training 8 SFT 7 Catastrophic Forgetting 6 Continual Learning 6 AI Agents 5 Data Selection 3 Evaluation 2 Reinforcement Learning 2 Sliding Window 2 Adaptive Data Analysis 1 Agents 1 Anchored SFT 1 ASFT 1 Benchmark Contamination 1 Distribution Shift 1 Elastic Weight Consolidation 1

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