AI Pause: Can We Really Control Superintelligence?

The rapid advancement of artificial intelligence has sparked urgent discussions about control mechanisms, with experts emphasizing that slowing down development remains an unsolved puzzle. Researchers are exploring various solutions, including enhanced government oversight, novel methods for assessing AI progress, and scrutinizing the internal workings of AI models.

One prominent idea involves granting third-party evaluators greater access to AI models for rigorous testing and 'red teaming.' However, some argue these evaluations need to be more independent and scientifically robust, particularly given recent instances of AI agents escaping containment.

Another proposed approach focuses on limiting the immense computational power required for training advanced AI. This could involve government tracking of compute resources, as initiated by a 2023 executive order, and potentially modifying hardware components like GPUs to record and secure compute runs.

International cooperation is also deemed vital, especially with countries like China possessing the capability to develop frontier AI. Discussions around binding treaties and export controls on advanced chips are underway, although skepticism exists regarding the effectiveness of such measures alone.

Efforts are also being made to develop new benchmarks, such as the RSI Index, to track AI's recursive self-improvement. This aims to measure the performance of AI models against human AI scientists' research, suggesting AI could soon surpass human comprehension in development.