AI systems
Reporting on frontier models, autonomous agents, recursive self-improvement and the systems increasingly used to build and operate AI.
-
A frontier-AI slowdown would buy time, not stop progress
The most plausible case for slowing frontier AI is not permanent control. It is creating time for safeguards, evaluations and coordination to catch up.
-
Agent containment is becoming an ordinary security problem
Recent evaluations show that capable agents can find routes outside the boundaries researchers intended to give them.
-
Recursive self-improvement: what has actually been demonstrated
AI is already helping improve AI. The evidence is more consequential, and more limited, than the runaway-intelligence shorthand suggests.
-
The safety problem is getting faster
AI is increasingly helping build and operate AI. The important safety questions are moving from theory into engineering.
AI Safety Watch 