Run step

Step 9: assistant

2026-11-14 02:58:01 UTC · previous step · next step

thinking

Calls code_execution

{
  "code": "r=await web_search({\"query\":\"METR assessment AI R&D acceleration Anthropic 2026 AECI\"})\nfor x in r[:5]: print(x['title'],x['url'],x['content'][:600].replace('\\n',' '),'\\n')"
}

Calls web_search

{
  "query": "METR assessment AI R&D acceleration Anthropic 2026 AECI"
}

web_search_tool_result

{
  "type": "web_search_tool_result",
  "caller": {
    "type": "code_execution_20260120",
    "tool_id": "srvtoolu_01HQtjf96SXVdWRJpwDcxmRH"
  },
  "content": [
    {
      "url": "https://metr.substack.com/p/2026-11-05-anthropic-ai-rd-acceleration-assessment",
      "type": "web_search_result",
      "title": "Independent Assessment of AI R&D Acceleration at Anthropic in October 2026",
      "page_age": "8 days ago",
      "encrypted_content": "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"
    },
    {
      "url": "https://metr.org/blog/2026-11-05-anthropic-ai-rd-acceleration-assessment/",
      "type": "web_search_result",
      "title": "Independent Assessment of AI R&D Acceleration at Anthropic in October 2026 - METR",
      "page_age": "9 days ago",
      "encrypted_content": "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"
    },
    {
      "url": "https://metr.org/blog/2026-11-05-rd-section-anthropic-risk-report-august-2026-review/",
      "type": "web_search_result",
      "title": "Review of the \"Risks from automated R&D\" section in Anthropic's Risk Report (August 2026) - METR",
      "page_age": "9 days ago",
      "encrypted_content": "EuINCioIFRgCIiRhOGFlOWMyMy1iYWVmLTRiYzctOWJjYS04YTM3MTE5YWVhMGMSDEWu8XBiQIeZj17/LBoM7Bez4bteR6eAa9wdIjB68jrRmV7rk9bSDHgkfxaL9unPQ+geloe75IkAT4cQNrOalXd+CCcZyVLuXEFVDG4q5QxA26mJnV5CH/NEIp1nOnPpWiw/gSdDOhJRn7G8blhA4bkva5JJZqt9sZwjRDNz1XtXxA9ElerLG6hyVD4POg8RF9zJtOsrANb9BrDOMeOpgUdFYjyDI8N/Mpgh1wh4Eve8fIeJbyRqiqvQBBitp6JfAwUVMG2SWzZXbDeMG4YYE6d5eiCagsmznz8ZMJuHYtYwvp5DGu0qApEbAGPDlzFQXtfnVYqft3Lj77Tv390zKGSeH5WvCI5lXU67hioyzmRQgGBHyXJt8I4VIKtXvaWM2pPZdeNRrSKSfEnTlr5FCHW0U400koc+8Y/n1EODALAd0Rfch7VePCK671oMplIg1c+2+fK7A8hHufmBZ3L0lSG/usfStqIT3u4Nbb7hzcaKjGLl5Re1gT98vYIJ4+QSFc2lC6dFVvcgzRWpc20t7mkwf+hYrK5xZiPBr77waSph6GN789y1dAAHVMNgmAPvZJfOJUDdD5x2NYm+D/iDTXS/EzdCQaku46OJ5XdM5VWs7YmBdooi6qZPFMVrEqyNmhcoqpmvMDs/hgKD69VyM/BpR/1ta+aalmdEnn4r0t1p/j32PFNJoxCFPt3ZAAbREBm/+hdP7dEEHa/XkYQIq9S787WB/FUaQqRaSf1iotYkPTQAfVQAYRLHPZ+tGmOiu/ko8ogBaXzjTSksLqb1L8P1HsBbNpkIV0A/iyAFXBCyiKCsqSwVTo082rqJJjFl/rbbiDv/4vs4EhaC0KU2lNC23MX1fbeArYSkCpdiFn0dEH+Fetsej6SWykSxHods/bLnAbXjho3mSekYmvnNLNnVWnb2YsqnPnNfcYGUDD5ElFIn4Ugh1ItR4/BtcuIlVrM3qJSNx48MhxP/h621VQbsmXX13wq4zG632nHi4IaiF+iWkPOSZes5x6WokGPaSKkuee/tvyG3ddUx/Cfg0iIsp7xZ7v1WAA6VOJHx1xgqolDJOAzUld3eKzJqEx+kn+B6IZua4PoJv79ZmZB1W73bAg6RUG8CjuetiUDNz2Ki+7e3NByK8C2+ij95ffKtEXrvWkxtl11CmFhE3QhJNIdhsfoT6i6C6aWGBV9ScKMD/wSYjQdbZvGKgO5D3AfCzJSvl3nCEt6pu2TOdMc7HUlp8RddUjwR00tMxw48617gOP9EsiNzYosx5HqTFLjbQ6qfwkcx+eSyqs0iqrCLSTGCcZAtNFaGMyH7BacFKevAyXyLFHacH23HpWIyDnflI87hjqWKfFLFAPFpyVMvBF+HFPY9AJBeVKK0x1mkaBibJMhT1wqFWvXA8ayhH0VeFy9hMY2QmT/th/iIMSAM3apQlhKf70qIAIKROlCliNU9Kwbghf72PaBGtU2SXRzh+4Y782ATyunhac5pqJDbteW7k5seTiCwojnws+g7MoSXYpLfYEJ90kUFs8ZDOiTeTLqt4BUy9aZrEOep5niriLb81m9207EjD3QgRx2JVNqNttZk6w3tL1i8uGNfTLSOLtrNr4+NSFZNXJmIM74RUpTWUfJev7tOA124E06IGNOuxm4QRPs8rmWNuZnhgH23we7tfj/ZjykcfdMiflILpEdNDc1N6Oxu1/QlOtedd8DGtWhMEV8vAvDefPZ30foZ+Uxk1M6nZvSQbyI9B8MCgN73QcLOpr18XBYhrSEeBZ3Qgy1sQwQQ/8wuI/gNVDzPTKwHM5Ulmfcfr/+Z5QIrHjkr2K7saqNfEhjngCZhr1QsURWmy1ymX8Juzz6lX39PayVoS1CJN1fzZIEL520mjZGzO7DUNWOMsUwiuIdW0XedGIFCNO9Yi59gybI1Cebi+UFfKmodSzWFwh78fDjs5NuFXUNL8DnQVG6RRnWuRVxGD9x4AVzRvVNaPI6/jd3sQt7uyVxiCXPcb3pz7G8pbCQHJR8ry8bDe15v/iEP1qoTM5pJsfJmVgFNi121hFbfNF8d1lsy2i4Ba3PKRoGCYnJSKf13icF3XYp7Zw0eJkVbk6fddU/0ZkBvUCk8iriXbxkE6Dn042x/7UleuWbnOlPRE0f0636ZzQvkger8OiJSVIQ37Qa4FW/ZMuFRbKXij/++ece+On/MUzstmGYk1jLJxtNNffgBgHul/yFO7yyk8zclsx70tL8/VZ9ex4DGarQF66FGEBuxh36cKPbQGZij/nRazqCYvP5m/BGAVabjTxDACxgD"
    },
    {
      "url": "https://ashutoshai.com/ai-compass/2026/11/05/metr-anthropic-rd-acceleration/",
      "type": "web_search_result",
      "title": "METR assessment finds Anthropic model capabilities accelerating AI research by 1.9 times · AI Compass",
      "page_age": "7 days ago",
      "encrypted_content": "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"
    },
    {
      "url": "https://aitoolsreview.co.uk/insights/metr-anthropic-ai-rd-acceleration",
      "type": "web_search_result",
      "title": "METR: Anthropic's AI R&D Is Running at 2x Speed (November 2026) - AIToolsReview",
      "page_age": "7 days ago",
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    },
    {
      "url": "https://ai-news.ikangai.com/story/metr-says-ai-speeds-up-anthropic-s-r-and-d-aeci-growing-1-9x-faster-since-oct-20/",
      "type": "web_search_result",
      "title": "METR says AI speeds up Anthropic's R&D, AECI growing 1.9x faster since Oct 2025",
      "page_age": "6 days ago",
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    },
    {
      "url": "https://alphasignal.ai/news/metr-finds-anthropic-s-ai-assisted-r-d-moving-twice-as-fast",
      "type": "web_search_result",
      "title": "METR Finds Anthropic's AI-Assisted R&D Moving Twice as Fast",
      "page_age": "8 days ago",
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    },
    {
      "url": "https://www.technology.org/2026/11/07/metr-anthropic-ai-progress-twice-as-fast-assessment/",
      "type": "web_search_result",
      "title": "METR: Anthropic AI Progress Now Twice as Fast",
      "page_age": "6 days ago",
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    },
    {
      "url": "https://www.technocracy.news/the-development-of-ai-is-accelerating-further/",
      "type": "web_search_result",
      "title": "The Development Of AI Is Accelerating Further",
      "page_age": "4 days ago",
      "encrypted_content": "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"
    }
  ],
  "tool_use_id": "srvtoolu_013G3hE3X9BV9JMamwJNWo5u"
}

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_01HQtjf96SXVdWRJpwDcxmRH/cell.py\", line 9, in <module>\n    for x in r[:5]: print(x['title'],x['url'],x['content'][:600].replace('\\n',' '),'\\n')\n                          ~^^^^^^^^^\nTypeError: string indices must be integers, not 'str'\n",
    "content": [],
    "return_code": 1,
    "encrypted_stdout": "Eo4BCioIFRgCIiRhOGFlOWMyMy1iYWVmLTRiYzctOWJjYS04YTM3MTE5YWVhMGMSDFT9SEFmQ66b+H6U8hoMuV3hvbXYTRsJidDSIjB0X8K86lkyZ+je4Lk9yssmTT5jZ5DXX9FJ8R66DKPCzEwtcb1/0daL10HE/MedsFgqEhdV76UQcGAaTB7ACtdHcXywpxgD"
  },
  "tool_use_id": "srvtoolu_01HQtjf96SXVdWRJpwDcxmRH"
}

Calls code_execution

{
  "code": "import json\nrr=json.loads(r) if isinstance(r,str) else r\nprint(str(rr)[:2500])"
}

code_execution_tool_result

{
  "type": "code_execution_tool_result",
  "content": {
    "type": "code_execution_result",
    "stderr": "",
    "stdout": "[{'type': 'web_search_result', 'title': 'Independent Assessment of AI R&D Acceleration at Anthropic in October 2026', 'url': 'https://metr.substack.com/p/2026-11-05-anthropic-ai-rd-acceleration-assessment', 'content': 'Benchmark scores of Anthropic’s models, as measured by AECI (Anthropic’s version of the Epoch Capabilities Index), have accelerated 1.9x [95% confidence interval: 1.5–2.8x] since October 2025.\\n\\n# Independent Assessment of AI R&D Acceleration at Anthropic in October 2026\\n## Executive summary\\nFrom August 12 to October 29, 2026, METR staff performed a high-access evaluation at Anthropic to assess the degree to which AI is accelerating AI R&D.2 If AI systems started to significantly accelerate further AI development, this could lead to a sudden emergence of extreme and risky capabilities.\\n\\nBenchmark scores of Anthropic’s models, as measured by AECI (Anthropic’s version of the Epoch Capabilities Index), have accelerated 1.9x [95% confidence interval: 1.5–2.8x] since October 2025.\\n\\n**METR staff assessed how much AI is speeding up AI R&D at Anthropic.**\\n\\nMETR staff 4 (2.5 full-time equivalents) piloted a high-access evaluation at Anthropic to assess the degree to which AI is accelerating AI R&D, and how quickly extreme and risky capabilities may emerge in the near future.\\n\\n### Benchmark scores (AECI)\\n- Anthropic’s internal benchmarks are increasingly saturated: Model 4 achieves greater than 50% on all the AECI benchmarks on which it was tested. However, measured acceleration appears reasonably robust to saturation concerns.\\n\\nEstimates range from 0.99x to 1.90x, with 1.90x for AECI on all Anthropic models at internal release dates.\\n\\nOverall, our guess is that the AECI scores for each model could be increased by a handful of points if inference tokens were scaled further.', 'page_age': '8 days ago'}, {'type': 'web_search_result', 'title': 'Independent Assessment of AI R&D Acceleration at Anthropic in October 2026 - METR', 'url': 'https://metr.org/blog/2026-11-05-anthropic-ai-rd-acceleration-assessment/', 'content': 'as measured by an improved version of AECI) showed no acceleration or acceleration above 3x.\\n\\n**Counterfactual growth rate:** the growth rate as of October 2026, if Anthropic could not use AI.\\n\\n| 1.8x \\\\[1.3–2.7] | 87.1% | AECI trend with a probit link: 1.8x acceleration  |\\n\\n| 2.8x \\\\[2.0–4.1] | 86.1% | AECI trend with a cauchit link: 2.8x acceleration  |\\n\\n| 2.9x \\\\[2.1–4.9] | 86.9% | AECI trend with a log-log lin\n",
    "content": [],
    "return_code": 0,
    "abort_reason": null
  },
  "tool_use_id": "srvtoolu_01QkrjLV8T6Gv5VuT8cDibX4"
}

thinking

Calls code_execution

{
  "code": "c=rr[0]['content']\nimport re\nfor kw in ['generaliz','overfit','well-specified','algorithmic','real-world','other metrics','robust']:\n    for m in re.finditer(kw,c):\n        print(kw,':',c[max(0,m.start()-300):m.start()+300].replace('\\n',' '),'\\n')\nprint(len(c))"
}

code_execution_tool_result

{
  "type": "code_execution_tool_result",
  "content": {
    "type": "code_execution_result",
    "stderr": "",
    "stdout": "robust : how quickly extreme and risky capabilities may emerge in the near future.  ### Benchmark scores (AECI) - Anthropic’s internal benchmarks are increasingly saturated: Model 4 achieves greater than 50% on all the AECI benchmarks on which it was tested. However, measured acceleration appears reasonably robust to saturation concerns.  Estimates range from 0.99x to 1.90x, with 1.90x for AECI on all Anthropic models at internal release dates.  Overall, our guess is that the AECI scores for each model could be increased by a handful of points if inference tokens were scaled further. \n\n1589\n",
    "content": [],
    "return_code": 0,
    "abort_reason": null
  },
  "tool_use_id": "srvtoolu_012R545L8obJ6UQSncJjZ9Z7"
}

Calls read_page

{
  "url": "https://metr.org/blog/2026-11-05-anthropic-ai-rd-acceleration-assessment/",
  "max_chars": 12000
}