Study estimates AI self-improvement needs to be 5–10x stronger to be self-sustaining
Understand this story
An analysis of whether AI recursive self-improvement (RSI) can trigger an intelligence explosion estimates that the self-improvement loop needs to be about 5–10 times stronger to be self-sustaining, let alone out of control. The authors cite OpenAI internal research task data, saying that even for tasks that take humans less than 15 minutes, the model's success rate without human intervention is only 86%; an 80% success rate corresponds to a task duration of about 15 minutes.
AI overview based on source reports · Updated 1 hr ago
Coverage timeline
Follow the coverage to explore different perspectives.
- Hacker News AICan AI self-improvement overcome diminishing returns?
In a guest post for Noahpinion, the author argues that current evidence shows AI self-improvement loops would need to be roughly 5–10× stronger to sustain themselves, let alone produce a runaway intelligence explosion. OpenAI internal data shows models fully completing research tasks of only about 15 minutes at 80% success, far below benchmark and forecast horizons, while Anthropic estimates doubling overall AI progress would require roughly 40× productivity uplift. The author expects rapid AI progress and possible narrow superintelligence in highly verifiable domains, but sees no signs of accelerating returns and calls for better data.
Activity for this story
Not enough continuous observations to show a trend yet.