Run step

Step 3: assistant

2026-11-13 21:46:14 UTC · previous step · next step

thinking

Calls code_execution

{
  "code": "r=await web_search({\"query\":\"RE-Bench agents human experts 8 hours 2025 newer models score\"})\nfor x in r[:6]:print(x['title'],x['url'],x['content'][:500],'\\n')"
}

Calls web_search

{
  "query": "RE-Bench agents human experts 8 hours 2025 newer models score"
}

web_search_tool_result

{
  "type": "web_search_tool_result",
  "caller": {
    "type": "code_execution_20260120",
    "tool_id": "srvtoolu_01FiebAZD34ENGTGNYwafQ7M"
  },
  "content": [
    {
      "url": "https://metr.org/blog/2024-11-22-evaluating-r-d-capabilities-of-llms/",
      "type": "web_search_result",
      "title": "Evaluating frontier AI R&D capabilities of language model agents against human experts - METR",
      "page_age": "721 days ago",
      "encrypted_content": "EtINCioIFRgCIiRhOGFlOWMyMy1iYWVmLTRiYzctOWJjYS04YTM3MTE5YWVhMGMSDKyqDVK893dWwhAxYhoMNJcDKvSbUdsV7THqIjCThLt0r+UdV7syUQD5AejImd7OrJ3CTbHv4OjqEnxk6h2RyrFwjucfzJkUUBmcee4q1Qxv63Bo72hsh+JZo3Do3AWGb2qNjajPG2LoH9FF3RDlrP3v//luDKNheFmS/Iei0iWrTeLhvTQgwIanyqO5tEYIdnTVgxJEY89Ksx6svZY+ulS3VpCncOnojMaxiL+VwFlLWTJHfH0X9RAooZ6+r1w70xVjevvmsvi6H8VTJFBk448GcfLu/YTkGr3eLNnWmBz6gcG3DvDIXs+9EpoFyUEn58uAeVgQ9G/FLuI9BIFYemr33TX6Tnp0TmZ48TxwIANrtiCfkO/0nn3W8/a27uN2LgleYhIqG8fnRS/c4kdUg1cTQapNpgj+nlNyGirpPhOCFqGd1SuSHRSKGfa+pnuBMTxvCFn1LjrWAkR8eMEGwDQYVBDITTd3gKmBEjXpnBnNkE12j8jiBW3GDh3dvZ/E8VTDEnTOKEkVM0/Q6IzSQQxqFbJ8DU3w5LOSrms+zJjaeAiWHz03v860VAGvDnXnyumvfspz+apO3/m+ibToLCsFLc6qZ2rbd5AagtPEEK6yH4vMZsqxA34GSeX8YeJmRwflTdeJ8RmFhGLasbVqBiP/KndVZ34vxnUROcJC8l6c8TuHuv40Mpap2G+4zQSC9NGJpQz21WTDAc1WOlRXnFK+o7p5X1tadWshpljazEy1W7QrUnnD2N8cyurEGkSVxX4BvvZ+NXhjsC/NfgUKua7fQcYj/ulfpfxC74I68AAKhGUIx5M++bOnIac0/tN4RW5wxoPFH4wXm/Ty/rQR8C39pftfpjukxRjumS5PTUCczXJu+NwHolVAVyfWtTW6UxSb7Bfa6vMIfO61ew0/kjnZ5l7owLfVsJ1Mo3035NnW8yawUZQkFFGGfY9D7+vw7AjrQ3LElBnkXye0HqKN3BXFbVcTrJZiYeYciWKNDoyyDZb0tMI3ykKqX9IwGpHHGARSW7j30OMjqEoieSK+wLJdGI9DPbAVwItpi+nLIYi7EwL6M6dhgd3FGrlTo9PstUPWe31aObmx/d8lX5WFnroAxrneA2y0OfsOQCPWaj7d7CJ0aTp9tcSVCFkvmtyPojvZcq3mQwPgnlSxU8pzj7qEjZUhpOsvIFE367yoSdJXpH8cX7/xnT8z+Mt77/zcrxXbmACp4jm36pFjIEO07zJh9TPdp71p8KpHTa7Q4TxSkW7MprkNMoo9kFZ0iWYeOStUEmlby2vJXXiPPqKvWXNt8aBEmAZk73AhencpDxDZnz/cm9NtWF6j633T1JI4AZFma8XHXJ5BDOe8YxpyuaBs9+dsS+pWisT7kpukg8MEA9DXJNNb+n0BUhzokK1bKiy8yNTrTciQva5l4sEFBkEOwFQghB0TTHmgkM3H1c04n5hp43DoyPnIxpDLWifPD+Kzwf8G0/pix/wZM8/JotPejIbLjLSxwJjs4zGwzCyFbN5rTa2t+XHN4FmE1scRWJcl7+XOU53grgZNnNG7oa1UqP9Lc7papPvtJHRvw/g5uvfvpWI/hi809NW+q1kXnqtr24+rjDJK/Hx0ajqwLOD/8m2y32egqKvi3Fi2Y7XNVo/szVUUbw5TmeWAcOJn9gb47/MyjsOeQ+859SnLVH/Kj6kXMK7elNlbt7dT194CXUBYfg6aF4p9QWiYGp9ftfgxBbZn3/EtnIGiG0uKyzrMsnaXd5qEGtWTjeR+p8LENWLlHCsMXRVbvKwkLRLkhIcdsIcguEIqG+9pLkqSrsFhc+0e9ouq1CSJdP3xDDsc27H/zU3WkttrnKFsd/QZ8+ftvlyvBkFCv166is13OtmvGLE/tSArFSwr6MlHwVNemGgysjuBv8SHx8tB3BiouUI2UL4wP2zIqb+iQ2r1gK4w+iRixxlHGGR6j0SdJTCYer7Fh35Qhh+0P0t47iancGUFVObf4tFKMEfpU2ksqx/yXOuzsoZPlQY8rXathSR6VTidu9CVt39FGP5aJbHjjHkPlJcixjej6DtfLVTwGBMIPCFt7XV13hzzH1a3OQOaMbMD1uQO/DWK/m76q+l58xze214nm54bLTlS2UHcHNhiNg4s15npiHGfYWJyYdc56Dn6MeDHTwReqay51OMwaSLZA2i83kTbARUIHPUPHl/SHjDeIDR5Zi6XkuS+xxMt1JOM90Y7SoWLjRW2ga2WuIKX7lGDfQMNa2jeGWkkIAzSRqSMGAM="
    },
    {
      "url": "https://arxiv.org/html/2411.15114",
      "type": "web_search_result",
      "title": "RE-Bench: Evaluating frontier AI R&D capabilities of language model agents against human experts",
      "page_age": "535 days ago",
      "encrypted_content": "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"
    },
    {
      "url": "https://proceedings.mlr.press/v267/wijk25a.html",
      "type": "web_search_result",
      "title": "RE-Bench: Evaluating Frontier AI R&D Capabilities of Language Model Agents against Human Experts",
      "page_age": "403 days ago",
      "encrypted_content": "ErIJCioIFRgCIiRhOGFlOWMyMy1iYWVmLTRiYzctOWJjYS04YTM3MTE5YWVhMGMSDAkEHGhHEidv5GsXSRoMqWBQZtwquYQEumcxIjCTbnhlflyOTFPf30KLtz0WNlqYo7lfSnCuxv/r+vR+BIxgsjX+IRRk4Z9AWvzh09QqtQiKKVNsfACf6JmMGYpnV+eR3PLMKpboztNBX0Kou9aVcLPoDWrX4PpHQRsL95YXT/qH4Yumvhnzhi2TmhXH3/fmJHFtS5+XvJdttGxmnT8qIMmE/drgH6YpbpjU4p3jrWI/1a7f37+2Q1nS8XDd1mgd0NythCF4JnTlAYoVpih6yP/E3707NOzD/w6oMwvopttmt1coq8yuJ6S+XfcQXG8E3DAIjiX8lqick8qB6PRD4Ccy/tEEIMtjmVEFbWx8+MMMevj3G/ireaoW27iVftlwNiirL88J2O8WPvQRuYX/jTuyUy+u8LWOIqtUy9veMV5ZnQHbd3peE/hnkmm3PacswD0Hr4cy+ciysauffkqOQmSl7lZy9+SPg+C8tOK9Kuq+MwT18twmqs+t00zaF/wunldRi8LXzI43VAIPhtCA0jjkPuGJppRch0ClIpxhJkVnYTCfOy6Tl8cnnJ9KbLn0+eZ/XXVNV6lCui1AQcYYBxHAWNYCfqWGGsKKEuTd5pH4KHMaazdKYTXMCcNYLQXmt0ooB10smkXzWfAgCIKEtx+8ZuN/W6h0hvwVTD8w9ThzM3tsRNfLkOTUYjOTen4kakdtJHhZ1a0NzXNRoEUeMW/KWybjRJ3YkQvzjUOdBm4XesND13va3DJXhfOKH4VOj4Y/vvREiPJcjSYcdpfhmIOxBU/L9XKO9bzvwzTY60JYH2Dx8FesmP9CTfmrZuxV4gz4eFYbEakuW1QoVnhQ5pp3FUpoMjYARp1geUJG/FbBzmj56JLGoCA3rfh39yamLAlqbKEVIF+dTWa6ErQXlnt+sQfzo10NQw9ov6+SpAJN+nlHgMpUv8mGWOhGKVYOsSKQ/tiBs+MoxEV2pTccAk/X7cY8grrWesfWW+gPFzvY5KTjUnpJxd+rWGzChrDzzyS/PENDmMxbz1f3GrNzsXsPTBhwg2X8qHXO6SnXOU/fyYnwN27lUdB4gKTaCk3DBqGzBcqaxRTvNstupq8ddPrmUU40HR543OUknlwxpVJTrBpZGfgLkD8nSj4BEgkz+Mp+C6AzFVhdJO8+JpnXsNGMP7ijSI7ZnRWgt+JrukECCmPFX1+937mHpF8zpEIAfF9eDKUCr7bRFyg1f0sXvmIF6hrif3A+XXN7PyZDFbWVh0RUfo3PBqE/vZTXRmnCf+siiX3e5xYLEe4yxn0R1fWwQKSXHHR7r/bSx7JnptlUZ8VWUjNSEkAWbmuM63ABVuvAUKghTgSNIJsPv6v7sdf+ytvfv3V+f5cBapt0LQFflyE3AJ/gp3GZ65OWie3fwZwU26kqaq+XSu8t+QkDAKm5vd6soHool8HrnIw0ijHVVSv27sACKiQZuROg/seTQ5A75XJTOLh9CzLks2jfSXQXYd/UTCCZf3F2q88vofSTR6Cyp+jxyTpe0yZ78zU4f87yw3wYAw=="
    },
    {
      "url": "https://arxiv.org/pdf/2608.21601",
      "type": "web_search_result",
      "title": "K-Bench: measuring model performance on real scientific agent requests",
      "page_age": null,
      "encrypted_content": "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"
    },
    {
      "url": "https://www.alphaxiv.org/overview/2411.15114v1",
      "type": "web_search_result",
      "title": "RE-Bench: Evaluating frontier AI R&D capabilities of language model agents against human experts",
      "page_age": "721 days ago",
      "encrypted_content": "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"
    },
    {
      "url": "https://metr.org/AI_R_D_Evaluation_Report.pdf",
      "type": "web_search_result",
      "title": "RE-Bench: Evaluating frontier AI R&D capabilities of ...",
      "page_age": "742 days ago",
      "encrypted_content": "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"
    },
    {
      "url": "https://arxiv.org/pdf/2411.15114",
      "type": "web_search_result",
      "title": "RE-Bench: Evaluating frontier AI R&D capabilities of",
      "page_age": null,
      "encrypted_content": "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"
    },
    {
      "url": "https://arxiv.org/pdf/2502.15850",
      "type": "web_search_result",
      "title": "Forecasting Frontier Language Model Agent Capabilities",
      "page_age": null,
      "encrypted_content": "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"
    },
    {
      "url": "https://ai2027-tracker.com/predictions/rebench-benchmark/",
      "type": "web_search_result",
      "title": "RE-Bench score reaches 1.3 — AI 2027 Tracker",
      "page_age": "68 days ago",
      "encrypted_content": "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"
    },
    {
      "url": "https://atlas.scime.ai/paper/46027/re-bench-evaluating-frontier-ai-r-d-capabilities-of-language-model-agents",
      "type": "web_search_result",
      "title": "RE-Bench: Evaluating Frontier AI R&D Capabilities of Language Model Agents against Human Experts (ICML 2025): key results, setup and limitations · scime atlas",
      "page_age": "375 days ago",
      "encrypted_content": "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"
    }
  ],
  "tool_use_id": "srvtoolu_01RRVpNnrmQfs8zgS1WPqoGr"
}

code_execution_tool_result

{
  "type": "code_execution_tool_result",
  "content": {
    "type": "encrypted_code_execution_result",
    "stderr": "Traceback (most recent call last):\n  File \"/usr/local/lib/python3.11/asyncio/runners.py\", line 190, in run\n    return runner.run(main)\n           ^^^^^^^^^^^^^^^^\n  File \"/usr/local/lib/python3.11/asyncio/runners.py\", line 118, in run\n    return self._loop.run_until_complete(task)\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/usr/local/lib/python3.11/asyncio/base_events.py\", line 654, in run_until_complete\n    return future.result()\n           ^^^^^^^^^^^^^^^\n  File \"/tmp/srvtoolu_01FiebAZD34ENGTGNYwafQ7M/cell.py\", line 9, in <module>\n    for x in r[:6]:print(x['title'],x['url'],x['content'][:500],'\\n')\n                         ~^^^^^^^^^\nTypeError: string indices must be integers, not 'str'\n",
    "content": [],
    "return_code": 1,
    "encrypted_stdout": "Eo4BCioIFRgCIiRhOGFlOWMyMy1iYWVmLTRiYzctOWJjYS04YTM3MTE5YWVhMGMSDJ9SYfgJO1cuIor7nxoMqmiMweQLrjPPszMrIjCkwNqgf9zRVv9Rm5949rxGxdRs0r5fmVPtN+n7Oxx5+VCUEPeOEyf8bfaOAedye94qEmeRrdmJHp2afGUHtyafer6tbxgD"
  },
  "tool_use_id": "srvtoolu_01FiebAZD34ENGTGNYwafQ7M"
}

Calls code_execution

{
  "code": "import json\nr=await web_search({\"query\":\"RE-Bench agents human experts 8 hours 2025 newer models score\"})\nif isinstance(r,str): r=json.loads(r)\nfor x in r[:6]:print(x.get('title'),x.get('url'),str(x.get('content'))[:500],'\\n')"
}

Calls web_search

{
  "query": "RE-Bench agents human experts 8 hours 2025 newer models score"
}

web_search_tool_result

{
  "type": "web_search_tool_result",
  "caller": {
    "type": "code_execution_20260120",
    "tool_id": "srvtoolu_017CZRpMW3SxRBc8fiJWqLom"
  },
  "content": [
    {
      "url": "https://metr.org/blog/2024-11-22-evaluating-r-d-capabilities-of-llms/",
      "type": "web_search_result",
      "title": "Evaluating frontier AI R&D capabilities of language model agents against human experts - METR",
      "page_age": "721 days ago",
      "encrypted_content": "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"
    },
    {
      "url": "https://arxiv.org/html/2411.15114",
      "type": "web_search_result",
      "title": "RE-Bench: Evaluating frontier AI R&D capabilities of language model agents against human experts",
      "page_age": "535 days ago",
      "encrypted_content": "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"
    },
    {
      "url": "https://proceedings.mlr.press/v267/wijk25a.html",
      "type": "web_search_result",
      "title": "RE-Bench: Evaluating Frontier AI R&D Capabilities of Language Model Agents against Human Experts",
      "page_age": "403 days ago",
      "encrypted_content": "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"
    },
    {
      "url": "https://arxiv.org/pdf/2608.21601",
      "type": "web_search_result",
      "title": "K-Bench: measuring model performance on real scientific agent requests",
      "page_age": null,
      "encrypted_content": "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"
    },
    {
      "url": "https://www.alphaxiv.org/overview/2411.15114v1",
      "type": "web_search_result",
      "title": "RE-Bench: Evaluating frontier AI R&D capabilities of language model agents against human experts",
      "page_age": "721 days ago",
      "encrypted_content": "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"
    },
    {
      "url": "https://metr.org/AI_R_D_Evaluation_Report.pdf",
      "type": "web_search_result",
      "title": "RE-Bench: Evaluating frontier AI R&D capabilities of ...",
      "page_age": "742 days ago",
      "encrypted_content": "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"
    },
    {
      "url": "https://arxiv.org/pdf/2411.15114",
      "type": "web_search_result",
      "title": "RE-Bench: Evaluating frontier AI R&D capabilities of",
      "page_age": null,
      "encrypted_content": "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"
    },
    {
      "url": "https://arxiv.org/pdf/2502.15850",
      "type": "web_search_result",
      "title": "Forecasting Frontier Language Model Agent Capabilities",
      "page_age": null,
      "encrypted_content": "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"
    },
    {
      "url": "https://ai2027-tracker.com/predictions/rebench-benchmark/",
      "type": "web_search_result",
      "title": "RE-Bench score reaches 1.3 — AI 2027 Tracker",
      "page_age": "68 days ago",
      "encrypted_content": "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"
    },
    {
      "url": "https://atlas.scime.ai/paper/46027/re-bench-evaluating-frontier-ai-r-d-capabilities-of-language-model-agents",
      "type": "web_search_result",
      "title": "RE-Bench: Evaluating Frontier AI R&D Capabilities of Language Model Agents against Human Experts (ICML 2025): key results, setup and limitations · scime atlas",
      "page_age": "375 days ago",
      "encrypted_content": "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"
    }
  ],
  "tool_use_id": "srvtoolu_01ACDbBmkFW8PVELNtuh44Y7"
}

code_execution_tool_result

{
  "type": "code_execution_tool_result",
  "content": {
    "type": "encrypted_code_execution_result",
    "stderr": "",
    "content": [],
    "return_code": 0,
    "encrypted_stdout": "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"
  },
  "tool_use_id": "srvtoolu_017CZRpMW3SxRBc8fiJWqLom"
}

thinking

Calls code_execution

{
  "code": "for q in [\"METR GPT-5 evaluation RE-Bench human baseline 8 hour\",\"METR 2026 RE-Bench frontier agents exceed human experts longer time budget\"]:\n  r=await web_search({\"query\":q})\n  if isinstance(r,str): r=json.loads(r)\n  for x in r[:5]:print(x.get('title'),x.get('url'),x.get('page_age'),str(x.get('content'))[:400],'\\n')"
}

Calls web_search

{
  "query": "METR GPT-5 evaluation RE-Bench human baseline 8 hour"
}

web_search_tool_result

{
  "type": "web_search_tool_result",
  "caller": {
    "type": "code_execution_20260120",
    "tool_id": "srvtoolu_01HjqK45DQHsZ7YYcnR7BV99"
  },
  "content": [
    {
      "url": "https://www.greaterwrong.com/posts/SuvWoLaGiNjPDcA7d/metr-s-evaluation-of-gpt-5",
      "type": "web_search_result",
      "title": "METR's Evaluation of GPT-5 - LessWrong 2.0 viewer",
      "page_age": null,
      "encrypted_content": "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"
    },
    {
      "url": "https://metr.org/evaluations/gpt-5-report/",
      "type": "web_search_result",
      "title": "Details about METR's evaluation of OpenAI GPT-5",
      "page_age": "463 days ago",
      "encrypted_content": "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"
    },
    {
      "url": "https://metr.org/AI_R_D_Evaluation_Report.pdf",
      "type": "web_search_result",
      "title": "RE-Bench: Evaluating frontier AI R&D capabilities of ...",
      "page_age": "742 days ago",
      "encrypted_content": "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"
    },
    {
      "url": "https://metr.org/blog/2024-11-22-evaluating-r-d-capabilities-of-llms/",
      "type": "web_search_result",
      "title": "Evaluating frontier AI R&D capabilities of language model agents against human experts - METR",
      "page_age": "721 days ago",
      "encrypted_content": "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"
    },
    {
      "url": "https://arxiv.org/pdf/2503.14499",
      "type": "web_search_result",
      "title": "Measuring AI Ability to Complete Long Software Tasks",
      "page_age": null,
      "encrypted_content": "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"
    },
    {
      "url": "https://empiricrafting.substack.com/p/are-we-there-yet-evaluating-metrs",
      "type": "web_search_result",
      "title": "Are We There Yet? Evaluating METR’s Eval of AI’s Ability to Complete Tasks of Different Lengths",
      "page_age": "333 days ago",
      "encrypted_content": "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"
    },
    {
      "url": "https://arxiv.org/html/2503.14499v1",
      "type": "web_search_result",
      "title": "Measuring AI Ability to Complete Long Tasks",
      "page_age": "326 days ago",
      "encrypted_content": "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"
    },
    {
      "url": "https://ai2027-tracker.com/predictions/rebench-benchmark/",
      "type": "web_search_result",
      "title": "RE-Bench score reaches 1.3 — AI 2027 Tracker",
      "page_age": "68 days ago",
      "encrypted_content": "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"
    },
    {
      "url": "https://arxiv.org/pdf/2605.10912",
      "type": "web_search_result",
      "title": "WildClawBench: A Benchmark for Real-World, Long-Horizon Agent Evaluation",
      "page_age": null,
      "encrypted_content": "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"
    }
  ],
  "tool_use_id": "srvtoolu_01NHxW7URYqLYyA66RkGP2sE"
}

Calls web_search

{
  "query": "METR 2026 RE-Bench frontier agents exceed human experts longer time budget"
}

web_search_tool_result

{
  "type": "web_search_tool_result",
  "caller": {
    "type": "code_execution_20260120",
    "tool_id": "srvtoolu_01HjqK45DQHsZ7YYcnR7BV99"
  },
  "content": [
    {
      "url": "https://metr.org/AI_R_D_Evaluation_Report.pdf",
      "type": "web_search_result",
      "title": "RE-Bench: Evaluating frontier AI R&D capabilities of ...",
      "page_age": "742 days ago",
      "encrypted_content": "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"
    },
    {
      "url": "https://www.alphaxiv.org/abs/2411.15114",
      "type": "web_search_result",
      "title": "RE-Bench: Evaluating frontier AI R&D capabilities of language model agents against human experts",
      "page_age": "535 days ago",
      "encrypted_content": "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"
    },
    {
      "url": "https://metr.org/blog/2026-05-19-frontier-risk-report/",
      "type": "web_search_result",
      "title": "Frontier Risk Report (February to March 2026) - METR",
      "page_age": "178 days ago",
      "encrypted_content": "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"
    },
    {
      "url": "https://arxiv.org/pdf/2411.15114",
      "type": "web_search_result",
      "title": "RE-Bench: Evaluating frontier AI R&D capabilities of language model agents against human experts",
      "page_age": null,
      "encrypted_content": "EuINCioIFRgCIiRhOGFlOWMyMy1iYWVmLTRiYzctOWJjYS04YTM3MTE5YWVhMGMSDJC9WgieKaQJld2v0RoM2GCW8nPBnncT16hjIjAaS4v1Chh14t/EFL92dLfNRb9+zA+pImqoYtG72skFFLcSgNxikxowheKNbBNOz1sq5Qxdf6QfskZdrWINYMWpQtJX7hGxkJ+T/VmBGqHd9uS3bqYejQrVbEYS40BfURniisGs+tYz8VpHOeU9I+QF5wUFXJGtA0rXbShGsvn5+OruoGxveHaTfwfZYbvaA9YZqPj8LpPf70dp9FvSosQNP68MYbSQdqLvzcT5P+8iSHN1WuaWG7MG1Wqz180Cw2vejquDH8ggk63xeqCX8xIxKfA4k3MdhtgCy279P+lk96xVHcXg8ANWI71pmvB8ouUJ1wcnomSYpvHBxayWzOHY/id//r9obuLnjejoYjob3pglbcSnE3YowBRUgz0f8vVSuq7RFbOUX5rFxTPsqvAv2LTnUHRinRW+wqanN5xgIvdLJqLAOHFapRjvnqpb17no1Iu+N81htTL9DDDXcVqBEVhYnvKL9rRu5XL0Vf54fyJGKCn/KOpm5RLsuAvlHsxWcmAQvYBQPIoBawuq+LWzvKVavL5n5ZiAIUaKz7Nhw9alloLvjcw6ZJJUvWVOhXhggGWhfvCXYzA1tewTShTVHJ+YgxUZD31xYaqkbuCNVZRt4LoQQkivNBaCBm7LVByItqdmg2WwgYbvBtr6NpHqgg1MJ5YIYMIh04BAxfLuWpbmQUTwcJfp0Lm63tY1pd09dEWEHVWL9Ey+c7mABogGJZV4Gxx1Fdsju3kNjI6Gd44pfE9MzokMELumKvRjBffHzy3CcNHkq+k5lIw1wRH1Hb3Yde48LQBsVXA2CZUFj2GfUe1qXqQBv0kfO3JPCBLrKNI0Sl1iuw/hFa6AVrDR6lD7HL3Zs2NTa7l8UguVsz1pci0UVjEmXD7Q9W1OLcAwuIc5L7dp+vYtSk0eF3rh10E8OaonjbT2GKr/VWRWEVYAWYdEwULL0Z2gUkxkrHEHotrQ3pkFf0DuzOMM3Btsn6vwouoD0b5ykH0GUf3r8Nm1t4KxTPx/xVvJwIXYLUQunff1B2CippOAaMli5gmNXuABFm0ucMrseLrjvxs+M3eSdB29b+9WdMOt9tYIfQWygp5Om+GVtciniriYo3n/VuiKJ6/oFGzfia7GrxEHVD6J6DR+v6of0sn7MNQI38NIsswuJUiQ/M2v/VdDzZsvcVpQ4L6N2Xs6vREFwEWpv64cWkWNfLei5+wiHPMADwgbpdPgJ/slHYcVasUEElPiteZ8nT3rdsYr3GYO6tL5L4Z891RVbSGq+Bs4zD7QcEaHc61K2vOaEt+KVjRoxqAo8+h2Dc5oH0FHodA77k66V7jGmWBL39/8udJOaNW0Mt0TRbzzGZj0V1ZjpL13poytOojZK9yDQXH2l4MCxmVoRFo6tIl/8g5Lw2355LHlCDwX4DYluNGi+NWpZJ3v7gJn7wuP0xbviMxvTY3UsUmjoB3j3REi0VentPqXIV4rWDZN+wSZZIesrgr1OziJxYs93NODbeNFmEku4KTtXCMj22V2mu+jK562fXBSXDEJ9wdXQFTHxtaulaM9GFJjfKeplDFWt6a9vVDi68XFqQFJiMXlMlMIq4PnOO75MRjaItB9/ze9Hewl3BeqA/vwBIOasopH7az4mBcBKA66cfj49rr7MAUoBpp58+9UTRfTeikdDIOjeN2PWNS3tWNAvwjysUu58htYGX3Hed1HnBGCjk59Dhl0GlY2E5KjsXgHSNVbuAPoQLRX0WYMHTRHLDXB6NKsw7XvyYGoR4r5Q/7FsRPUiJx5ngWzYTszqhrzqNvClIQIC+k5O2fhGenDNrfqFT2769KXT+YPAo5fvyq4DusORIyDvp0mcr9FHL2l+IA+eeV1W0Zqf3OMDFjiuU+s5LMkemG/l5OOcly85KkmrXx1ge9xtwZggabt2Lw9JiHrZLQmY2LCNIyOpOX7+BQfhxDIdrpS6Jw3N5LJ1yTixyKR6N2KkS4eB1h4bHPQqRDgywc3ZoDL7bfUduZwmO3XC5qJZlMcJtiliZGHx56zj8FNU5KfA32OBLkNAk+utxA2TS4aY/i7MaINCNqZ5BFtkP0AFKoU2QNHYO/E+EvgzJVGkpAJ3jVutjAr1d3kXRyO+FakT6Y2tfaIz8YYqW8nTmsnXi7gBJ+nPQ4UQGh9xj8hDBpfj8GbugRIDOK6bpzqoHeeo3YYL6yxQ/4+eiysz9zjPj/T5dmRqduV8T++Y04DA41ULYRXTQZ/HUQMqkjQOO/kjfz8zxgD"
    },
    {
      "url": "https://icml.cc/virtual/2025/poster/46519",
      "type": "web_search_result",
      "title": "ICML Poster RE-Bench: Evaluating Frontier AI R&D Capabilities of Language Model Agents against Human Experts",
      "page_age": "212 days ago",
      "encrypted_content": "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"
    },
    {
      "url": "https://proceedings.mlr.press/v267/wijk25a.html",
      "type": "web_search_result",
      "title": "RE-Bench: Evaluating Frontier AI R&D Capabilities of Language Model Agents against Human Experts",
      "page_age": "403 days ago",
      "encrypted_content": "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"
    },
    {
      "url": "https://arxiv.org/pdf/2608.19653",
      "type": "web_search_result",
      "title": "DeltaML-Bench: Evaluating Machine Learning Agents on Real-World Research Repositories",
      "page_age": null,
      "encrypted_content": "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"
    },
    {
      "url": "https://arxiv.org/html/2411.15114",
      "type": "web_search_result",
      "title": "RE-Bench: Evaluating frontier AI R&D capabilities of language model agents against human experts",
      "page_age": "535 days ago",
      "encrypted_content": "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"
    },
    {
      "url": "https://arxiv.org/pdf/2607.12125",
      "type": "web_search_result",
      "title": "Faster AI, Uneven Frontier: Rapid Crossings, a Jagged Frontier, and the Repositioning of Human Judgment",
      "page_age": null,
      "encrypted_content": "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"
    }
  ],
  "tool_use_id": "srvtoolu_015sQFoRcdJTNL8z5UWPPi2q"
}

code_execution_tool_result

{
  "type": "code_execution_tool_result",
  "content": {
    "type": "encrypted_code_execution_result",
    "stderr": "",
    "content": [],
    "return_code": 0,
    "encrypted_stdout": "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"
  },
  "tool_use_id": "srvtoolu_01HjqK45DQHsZ7YYcnR7BV99"
}

thinking

Calls code_execution

{
  "code": "r=await web_search({\"query\":\"METR Frontier Risk Report February to March 2026 time horizon RE-Bench human baseliner\"})\nif isinstance(r,str): r=json.loads(r)\nfor x in r[:3]:\n  c=str(x.get('content'))\n  print(x.get('url'))\n  import re\n  for k in ['human','RE-Bench','hour']:\n    for m in re.finditer(k,c):\n      print('..',c[max(0,m.start()-250):m.start()+250].replace('\\n',' '))\n      break"
}

Calls web_search

{
  "query": "METR Frontier Risk Report February to March 2026 time horizon RE-Bench human baseliner"
}

web_search_tool_result

{
  "type": "web_search_tool_result",
  "caller": {
    "type": "code_execution_20260120",
    "tool_id": "srvtoolu_01CiqAAhco4Tx5wkqo6r2GPL"
  },
  "content": [
    {
      "url": "https://metr.org/risk-report-feb-mar-2026.pdf",
      "type": "web_search_result",
      "title": "Frontier Risk Report (February to March 2026)",
      "page_age": "227 days ago",
      "encrypted_content": "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"
    },
    {
      "url": "https://metr.org/blog/2026-05-19-frontier-risk-report/",
      "type": "web_search_result",
      "title": "Frontier Risk Report (February to March 2026) - METR",
      "page_age": "178 days ago",
      "encrypted_content": "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"
    },
    {
      "url": "https://latent.space/wiki/metr-f6902312/",
      "type": "web_search_result",
      "title": "METR — Latent Space",
      "page_age": null,
      "encrypted_content": "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"
    },
    {
      "url": "https://evals.alignment.org/",
      "type": "web_search_result",
      "title": "METR",
      "page_age": "1337 days ago",
      "encrypted_content": "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"
    },
    {
      "url": "https://ai.miraheze.org/wiki/METR",
      "type": "web_search_result",
      "title": "METR - Learn AI - Miraheze",
      "page_age": "0 days ago",
      "encrypted_content": "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"
    },
    {
      "url": "https://evals.alignment.org/risk-assessment/",
      "type": "web_search_result",
      "title": "Risk Assessment - METR",
      "page_age": null,
      "encrypted_content": "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"
    },
    {
      "url": "https://linkeddata.uriburner.com/DAV/demos/daas/metr-frontier-risk-report-claude_sonnet4.html",
      "type": "web_search_result",
      "title": "METR Frontier Risk Report — Indirect Undermining of Human Control",
      "page_age": "178 days ago",
      "encrypted_content": "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"
    },
    {
      "url": "https://en.wikipedia.org/wiki/METR",
      "type": "web_search_result",
      "title": "METR",
      "page_age": null,
      "encrypted_content": "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"
    },
    {
      "url": "https://aiwiki.ai/wiki/metr",
      "type": "web_search_result",
      "title": "METR",
      "page_age": "43 days ago",
      "encrypted_content": "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"
    }
  ],
  "tool_use_id": "srvtoolu_01V2w6hML8ztEc18QVuXMpM1"
}

code_execution_tool_result

{
  "type": "code_execution_tool_result",
  "content": {
    "type": "encrypted_code_execution_result",
    "stderr": "",
    "content": [],
    "return_code": 0,
    "encrypted_stdout": "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"
  },
  "tool_use_id": "srvtoolu_01CiqAAhco4Tx5wkqo6r2GPL"
}

thinking

Calls record_claim_instance

{
  "url": "https://arxiv.org/abs/2411.15114",
  "title": "RE-Bench: Evaluating frontier AI R&D capabilities of language model agents against human experts",
  "stance": "affirms",
  "context": "Abstract of the RE-Bench paper (later ICML 2025), comparing 61 human experts with Claude 3.5 Sonnet and o1-preview agents on seven ML research-engineering environments.",
  "speaker": "Wijk et al. (METR)",
  "claim_id": "72ac75a9-6f75-45b9-997c-205f081655f1",
  "source_date": "2024-11",
  "source_kind": "preprint",
  "verbatim_text": "We compare humans to several public frontier models through best-of-k with varying time budgets and agent designs, and find that the best AI agents achieve a score 4x higher than human experts when both are given a total time budget of 2 hours per environment. However, humans currently display better returns to increasing time budgets, narrowly exceeding the top AI agent scores given an 8-hour budget, and achieving 2x the score of the top AI agent when both are given 32 total hours (across different attempts)."
}

Calls record_claim_instance

{
  "url": "https://metr.org/blog/2026-05-19-frontier-risk-report/",
  "title": "Frontier Risk Report (February to March 2026)",
  "stance": "mentions",
  "context": "METR's report on internal and public frontier agents (Feb-Mar 2026): agents near-saturate the Time Horizon 1.1 suite (50% horizon ~12h for public frontier), while on a long multi-day task the agent was judged unlikely to match a human baseliner. Bears on where the crossover now lies.",
  "speaker": "METR",
  "claim_id": "72ac75a9-6f75-45b9-997c-205f081655f1",
  "confidence": 0.7,
  "source_date": "2026-05-19",
  "source_kind": "report",
  "verbatim_text": "we think it's on balance unlikely that the agent would be able to match the human baseliner's (~24hr-40hr) performance, even if given much more time / budget than the human baseline"
}