The argument from forecasts of stronger milestones in 2027
The argument
An AI that matches top researchers' research taste and fully automates coding, or one that can train its own successor unaided, could do all research work other than agenda-setting. Forecasters with modelling expertise or inside knowledge now place the date of the first of these milestones in 2027 (the six AI Futures Project authors, conditional on no deliberate slowdown), and an Anthropic co-founder now thinks it more likely than not that a model able to train its successor becomes possible in 2027. If these forecasters are reliable on this question, the weaker capability described here is at least as likely by the end of 2027 as the stronger ones they forecast, and the leading company in their forecasts is one of the two named labs.
Does it work?
- Does it follow?
- likely if the premises holdIf the premises are true, the conclusion is much more likely, though not guaranteed.constitution →
- Do the premises hold?
- 1 doubtful1 not separately assessed
The entailment is sound: the milestones forecast are stronger than the capability described here, so if the forecasters are reliable on this question the conclusion is likely. The argument therefore stands or falls with their reliability, which is the weak point. The forecasts are conditional on no deliberate slowdown, they moved by a year or more within three months on a single estimate whose main evidence was withheld, and their authors call the analysis preliminary. The insider forecast gives no number and cites one new benchmark, and comes from a co-founder of the lab concerned. These voices share one input and are not independent. The graph's own estimate of the date of the stronger milestone puts roughly one chance in six on the end of 2027, well short of the forecasters' own figures, and the successor-training forecast has not yet been assessed.
Premises
- UnassessedNo current assessment. Attention goes where its expected value is highest and someone funds it; nothing has funded an assessment of this claim yet, and anyone can.constitution →Date when a frontier AI company first has an AI matching top researchers' research taste and fully automating coding
- DoubtfulThe evidence weighs against the claim, but the examination is incomplete or the evidence is indirect.constitution →By the end of 2027, a frontier AI model will autonomously train a successor version of itself.
Where it is made
Passages where sources make, criticize or mention this argument. They record where it appears, not how strong it is, and none has precedence over another.
No source is recorded as making it.