By the end of 2027, a frontier AI model will autonomously train a successor version of itself.
Structured and assessed
First pass. Read Import AI 455 whole, Import AI 476 revision passage, and FRI Nov 2026 RSI review. Added three arguments (trend for; research-judgment gap against; capability vs deployment against), linked a3a7a95b, f5a654f9, d479cf4d, minted 4279b6b3 (human oversight retained), related link to 2028 sibling 5e4c99e3. Corrected Clark May instance metadata, recorded Oct revision (affirms, low confidence, capability language) and FRI mention; recorded Clark's Anthropic interest on both sources; placed unplaced passage. Assessed doubtful 0.65, credence 0.12. Importance 0.7, contestation 0.7. The 2028 sibling should hold credence >= this one.
Assessed Doubtful
verdict confidence 0.65 · credence 0.12
The claim forecasts an event: that before the end of 2027 a frontier AI model will itself carry out the training of its successor, end to end, without humans doing the research and engineering. Its best-known source is Jack Clark of Anthropic, who in May 2026 put about 60% on "automated AI R&D (where a frontier model is able to autonomously train a successor version of itself)" by the end of 2028 and 30% on 2027, citing missing creativity as the reason 2027 was unlikely. In October 2026, after a benchmark reported frontier models matching or exceeding human experts at designing and interpreting AI experiments, he wrote that full recursive self-improvement now seemed more likely to become possible in 2027 than in 2028. Two distinctions matter. First, Clark's forecasts are about ability ("is able to", "become possible"), while the claim states that the training will actually happen. Second, his view is a forecast from a co-founder of a frontier lab that benefits from perceptions of rapid progress. That stake does not make him wrong, and his May essay rests on public benchmarks that anyone can check, but the revision rests on a single new benchmark and gives no number. Independent evidence as of November 2026 favors rapid partial automation but not end-to-end autonomy. AI writes most code at leading labs and agents complete a growing share of multi-hour tasks unaided, and METR estimates AI is roughly doubling Anthropic's pace of progress. Yet humans still supply most research judgment: no measured part of Anthropic's R&D is fully autonomous, agents recovered only a small share of the gain in tests of reinventing unseen ML innovations, and the authors of unpublished papers rejected every AI-written paper on their questions. OpenAI's own target for an automated AI researcher is March 2028, after this claim's deadline. Even if the capability arrives in 2027, developers are likely to keep humans overseeing frontier training runs, and a public demonstration would most likely come first at a smaller, non-frontier scale, as Clark himself expected. The evidence therefore weighs against the claim as worded, with a credence of roughly one in eight. A demonstrated, publicly documented end-to-end successor training of a frontier model, or a sharp jump in independent open-ended research evaluations in 2027, would change the verdict. How "autonomously" and "successor" are read also matters: a loose reading counting heavy AI contribution under human direction would make the claim much more likely, but that is not what the words say.
Updated claim instance
Instance 35a7ac6e-93c8-4a3c-9a1e-df4412155423 (https://importai.substack.com/p/import-ai-455-automating-ai-research): was stance=denies, confidence=0.85; set speaker="Jack Clark", publication="Import AI", sourceDate="2026-05-04", context="Clark gives ~60% for automated AI R&D, defined as 'a frontier model is able to autonomously train a successor version of itself', by end of 2028, and 30% for 2027, saying he does not expect it in 2027 because AI research needs creativity AI has not yet shown. Note his definition is about ability; the claim states the event. Revised in October 2026.". Read the source whole: speaker and date were missing; context now records the 30% figure and the ability-versus-event difference. Stance kept as denies because the author assigns it below even odds and says he does not expect it in 2027.
Claim entered the graph