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AI Development3 min read29 July 2026

Pacing Automated AI Development

Researchers and scientists call for tools to slow down automated model development, emphasizing the need for responsible AI growth.

The Signal

A significant number of AI researchers, including those from OpenAI and Anthropic, have come together to ask the U.S. government for tools that can help pace the development of automated AI models. This move indicates a growing concern among experts about the rapid advancement of AI technologies without adequate oversight and control mechanisms in place.

Why It Matters

The request for pacing tools underscores the importance of ensuring that AI development aligns with human values and safety standards. Unchecked, the rapid evolution of AI could lead to unforeseen consequences, including potential risks to society. By advocating for tools to manage the pace of AI development, these researchers aim to promote a more balanced and responsible approach to AI growth.

Where It Gets Practical

In practical terms, pacing AI development involves implementing measures that can slow down or regulate the creation and deployment of new AI models. This could include developing guidelines for AI research, establishing standards for AI safety and security, and creating frameworks for assessing the potential impact of AI systems on society. Companies like Abridge, which has acquired Agentic AI, a workflow automation company, are already exploring ways to integrate AI into business operations while ensuring that these systems are used responsibly.

The Constraint

One of the main constraints in pacing AI development is the challenge of balancing the need for innovation with the need for safety and control. Overly restrictive regulations could stifle innovation, while inadequate oversight could lead to risks. Finding the right balance is crucial and will require ongoing dialogue between researchers, policymakers, and industry leaders.

What I Would Try First

For organizations looking to adopt AI technologies, a first step could be to engage with researchers and experts who are working on pacing AI development. This could involve participating in workshops, contributing to policy discussions, or collaborating on research projects focused on AI safety and ethics. By doing so, organizations can help shape the future of AI in a way that aligns with their values and promotes responsible innovation.

Sources

Citation

Artenis Alija. "Pacing Automated AI Development." 2026. https://artenisalija.com/blog/pacing-automated-ai-development/

https://artenisalija.com/blog/pacing-automated-ai-development/

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