Cooperation in fields like AI becomes harder as time passes and stakes rise, emphasizing the need for international cooperation to prevent risks from powerful AI.
Starting a trust-building process in a low-trust environment often requires a costly signal, such as a country opting out of AI competition to demonstrate trustworthiness.
As time progresses and AI systems advance, taking a leap of faith in AI cooperation becomes increasingly risky and costly, making initiating serious international cooperation crucial.
The UK AI Safety Summit aims to address risks from powerful AI systems and create national and international AI regulation.
A proposed key principle is to monitor and control the use of computational resources for advanced AI to reduce risks.
Another suggestion is to establish a concrete threshold for compute usage above which AI development should be restricted or prohibited, paving the way for international AI regulations.
China lacks the resources and technology, like data centre-grade GPUs, needed to compete with the US in developing AGI via Large Language Models (LLMs).
The Chinese Communist Party prioritizes social stability and control over developing powerful LLMs that could challenge its authority, resulting in stricter supervision and limitations on AI development.
Global concerns about an AGI race between the US and China are unfounded; US companies are leading in AGI development, and China faces obstacles in resources, technology, and political constraints.