
Artificial Intelligence
Anthropic Calls For AI Pause; Warns Of Human Control Risks!
Updated on Mon, Jun 8, 2026
TL;DR
- Anthropic wants AI labs to have the option to pause advanced AI development.
- The company warns future AI could become too powerful to manage safely.
- Growing AI security risks are driving calls for stronger safeguards.
Anthropic, the company behind the Claude chatbot, has proposed that leading AI labs work together on a mechanism that could temporarily pause the development of advanced AI systems. In a blog post, the company warned that AI capabilities are improving rapidly and said “it would be good for the world to have the option to slow or temporarily pause” development if necessary.
According to Anthropic, future AI systems could eventually reach a stage where they are capable of designing and developing their own successors through a process known as recursive self-improvement. While the company acknowledged the potential benefits for fields such as science and healthcare, it also warned that such progress “also might increase the risks of humans losing control over AI systems”.
The company said its research institute will explore the idea alongside other organizations and help develop systems that could support a credible global slowdown if required. Anthropic believes any pause mechanism would need ways for AI labs to verify that competitors have also stopped development and ensure that “a bad actor could not use the auspices of a coordinated slowdown to jump ahead in secret”.
The proposal arrives amid growing debate over how advanced AI should be governed. OpenAI recently argued that governments, rather than private companies, should determine the rules around AI development. “Our view is that decisions about the pace of AI innovation should not be left to any one lab, company, or special interest group,” the company stated in a separate report.
Anthropic’s warning also follows new research from the University of Toronto, where researchers demonstrated how AI tools could be used to create an adaptive AI-powered worm capable of changing its hacking strategies while spreading across networks.
“I think it’s really important that people understand that it’s not just the biggest, most powerful language models that pose the security concerns,” said lead researcher Nicolas Papernot.
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Papernot also called for stronger collaboration between technology companies, governments, and researchers to develop defenses against increasingly sophisticated AI-enabled cyberattacks. “Anything connected to the internet is now at risk because of how low the cost has become to mount these cyberattacks,” he added.
The discussion highlights a growing divide within the AI industry over whether rapid innovation should continue at its current pace or be slowed to allow safety measures and oversight to catch up.
First published on Mon, Jun 8, 2026
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