Recent research argues that while AI can self‑improve, the process is incremental, not explosive. The study models iterative learning cycles, showing diminishing returns and regulatory constraints that slow deployment.
The Signal
These findings temper hype about rapid superintelligence, suggesting policy makers should focus on gradual oversight and robust safety measures worldwide globally.