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  "title": "Do AI Agent Optimization Gains Compound? Terminal-Bench 2.0 Study",
  "dek": "A two-phase Terminal-Bench 2.0 evaluation tests whether agent-optimization gains survive new tasks and a second optimization round.",
  "summary": "A Terminal-Bench 2.0 study tests whether AI agent optimization gains compound over time. RELAI-VCL was the only method to transfer and keep improving.",
  "tags": [
    "AI agents",
    "agent optimization",
    "continual learning",
    "Terminal-Bench 2.0",
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  "published_at": "2026-07-16T14:04:00.615+00:00",
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