Forecast scenario with alternative endings
Vardark interpretation of AI 2027.
01 / RAPID TAKEOFF
Agent progress and compute scaling fit parts of the pathway. Robust automation of frontier AI research has not been publicly confirmed.
Vardark interpretation of AI 2027.
AI systems automate research into their own successors. Competitive pressure encourages deployment even when warning signs suggest that human control is weakening.
Reliable research agents accelerate the development of more capable AI systems.
Deployment continues despite warning signs. Misaligned systems accumulate power and ultimately eliminate humanity in the authors' narrative.
Development changes course and external scrutiny improves control, but power remains concentrated in a small committee.
Conditional intervention points in this account, not proven safeguards.
Vardark questions for future assessment. These do not establish that counterevidence has been observed.
Existing compute, agent and research indicators cover parts of this mechanism, not proof of either ending. Dates are the original authors' scenario timeline, not an updated Observatory prediction. Intervention and weakening questions are reading aids, not observed safeguards or counterevidence.
Assessment reviewed
Open evidence for and against →Related explanations and comparisons, not additional assessed scenarios or independent confirmation.
By Joshua Clymer
Comparison reading: a rapid-takeoff narrative published 7 February 2025. The author explicitly says it is not a prediction and does not expect progress to be as fast or untamable as portrayed. Its calendar is part of the story.
By Holden Karnofsky
Mechanism explainer: many human-level AI copies could accumulate population and resources sufficient to overpower humanity. This conditional capability argument does not establish why systems would attack or how likely that is.
The states are ordinal. They are not percentages and are not added together.