Researchers say predicted AI self-improvement milestones already passed

IAPS fellow Severin Field interviewed 25 researchers from OpenAI, Anthropic, Google DeepMind, Meta, and US universities about recursive AI self-improvement. His follow-up analysis finds that several milestones those same researchers previously flagged as significant warning signs have already occurred.

Why it matters: Recursive self-improvement, AI systems meaningfully accelerating their own research, has generally been treated as a distant, hypothetical threshold. If the field's own experts' predicted markers are already being crossed, the timeline for this category of risk may be compressing faster than expected, adding urgency to governance efforts like the White House's move to extend AI safety frameworks to open-weight models.