Step 13: assistant

thinking

Calls write_argument

{
  "content": "AI systems are already speeding AI research at the frontier: in November 2026 METR estimated that Anthropic's progress was running at about twice its earlier rate, mostly because of AI. That speed-up compounds as the systems improve, and extrapolating it puts AI able to replace a lab's human researchers at the leading lab during 2027, so that [[claim:8dc0827d-5e18-4e56-8f0b-9516bbde379b|at least one lab fully automates its AI research by the end of 2027]]. Because [[claim:5134390a-7579-4ff3-a177-a91292b300a7|the major labs' frontier capabilities are only months apart]], and a lab that keeps human researchers when AI researchers are better and cheaper falls behind, every other major lab reaches and adopts full automation within the same window.",
  "argument_id": "f2e4dcc3-e8d5-45c0-88c3-e55075013ac2"
}

Calls write_argument

{
  "content": "The claim is about every major lab, so it is false if any one of them has not fully automated its AI research by the end of 2027. The labs are not in the same position, contrary to the premise that [[claim:5134390a-7579-4ff3-a177-a91292b300a7|their frontier capabilities are only months apart]]. OpenAI's own target for an automated AI researcher is March 2028. Google DeepMind's October 2026 safety report found no significant acceleration of its AI R&D, with its best model solving about half of internal research engineering tasks. Meta has said it will put most of its compute into serving users instead of racing toward recursive self-improvement, and the leading Chinese developers trail the frontier. The chance that all of them cross a strict line by one date is far smaller than the chance that the first one does.",
  "argument_id": "43781ba1-5e33-40b4-9399-8290889b822b"
}

Calls write_argument

{
  "content": "Full automation means AI systems doing the work human researchers now do, including choosing research directions, and the lab actually running its research that way. As of late 2026 no measured part of Anthropic's AI R&D is fully autonomous, humans still supply most research judgment, and AI agents given open-ended research questions have not produced work the original authors accept. Progress also depends on compute for experiments, which automated researchers do not multiply. A lab whose AI could do the work may still keep humans directing and checking it: the heads of Anthropic, OpenAI and xAI endorsed deliberately pacing frontier development in September 2026, including a possible speed limit on recursive self-improvement. Reaching the capability in 2027 would therefore not by itself make a lab's research fully automated by the end of that year.",
  "argument_id": "69a6891c-ab31-4802-ab33-620a4f058c3c"
}