{
  "id": 5288,
  "url": "https://arxiv.org/abs/2604.25067v2",
  "title": "Frontier Coding Agents Can Now Implement an AlphaZero Self-Play Machine Learning Pipeline For Connect Four That Performs Comparably to an External Solver",
  "summary": "Forecasting when AI systems will become capable of meaningfully accelerating AI research is a central challenge for AI safety. Existing benchmarks measure broad capability growth, but may not provide ample early warning signals for recursive self-improvement. We propose measuring AI's capability to autonomously implement end-to-end machine learning pipelines from past AI research breakthroughs, given a minimal task description. By providing a concise task description instead of the full prior wo",
  "authors": "Joshua Sherwood, Ben Aybar, Benjamin Kaplan",
  "category": "research",
  "topics": "safety-alignment,agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-04-27T23:48:30.000Z",
  "fetched_at": "2026-07-14T16:31:40.219Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/5288",
  "original_url": "https://arxiv.org/abs/2604.25067v2",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}