Step 9: assistant

thinking

Calls record_claim_instance

{
  "url": "https://arxiv.org/abs/2610.06824",
  "title": "TasteVal: Measuring the Experimental Research Taste of AI Systems Against Human Experts",
  "stance": "affirms",
  "context": "Benchmark of 8 unreleased AI R&D tasks where the evaluated model acts as Researcher choosing experiments while a fixed Coder implements them; 20 models from 2023-2026 compared with 24 human experts.",
  "speaker": "Oliver Jaffe, Dane Sherburn",
  "claim_id": "f5a654f9-9ef3-4144-9869-6bff1c6d9631",
  "confidence": 0.85,
  "source_date": "2026-10-06",
  "source_kind": "preprint",
  "verbatim_text": "On TasteVal, the compute multiplier of frontier models has doubled approximately every 3.0 months since December 2025 (95% CI 1.7-5.0), up from every 14 months between 2023 and December 2025."
}

Calls add_argument

{
  "name": "The argument from rising scores on next-step and experiment-choice evaluations",
  "stance": "for",
  "claim_id": "f5a654f9-9ef3-4144-9869-6bff1c6d9631",
  "description": "Successive model generations score higher on evaluations that isolate the choice of what to do next in AI research."
}