DeepMind Co-founder says US should make strategic use of Nvidia chips for driving global AI regulation

Mustafa Suleyman, a co-founder of DeepMind and Inflection AI, has suggested a strategic approach involving Nvidia’s potent chips to drive the widespread adoption of AI regulations by the United States. Nvidia’s processors play a crucial role in training large language models that underlie AI applications like OpenAI’s ChatGPT and Google’s Bard. Suleyman contends that harnessing Nvidia’s technology could empower the United States to exert its influence on a global scale concerning AI.

Suleyman’s proposal is in harmony with the commitments made by prominent tech firms, such as Google, Microsoft, Meta, and OpenAI, to address AI-related risks comprehensively. This includes rigorous testing of AI models, substantial investments in cybersecurity, and the detection of AI-generated content. He goes further to propose that users of Nvidia chips should not only adhere to these commitments but potentially adopt even stricter regulations.

However, Suleyman acknowledges that, in terms of AI regulation, the United States is trailing behind Europe and China. Europe is in the process of deliberating on the AI Act, which could impose stringent rules and testing protocols on AI applications with high-risk profiles. China has also enacted regulations governing deepfake technology and generative AI, with a focus on promoting innovation.

Nevertheless, Nvidia’s role in this proposed strategy becomes complex due to its substantial revenue from China. The US government is actively imposing restrictions on the sale of advanced chips to Chinese entities to curtail their AI development capabilities. However, the US intends to facilitate the sale of less advanced chips to generate revenue for American firms and bolster innovation.

Why does this matter?

Suleyman’s proposal underscores the intricate dynamics surrounding AI regulation, global competition, and the pivotal role of major technology companies like Nvidia in shaping the future landscape of AI policy. The proposal to use Nvidia’s chips as a strategic ‘chokepoint’ for AI regulation highlights the ongoing global conversation about the need for rules and guidelines in the field of AI. AI technologies are advancing rapidly, and there is growing recognition that they need to be regulated to ensure ethical use, safety, and accountability. The proposal’s mention of restrictions on Nvidia chip sales to China illustrates the broader geopolitical competition in AI. AI is seen as a critical technology with economic and national security implications, and countries like the US are taking measures to maintain their competitive advantage.