Anthropic: High computational costs are the main driver for pursuing an IPO, calls for a global pause on cutting-edge AI development
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Daniela Amodei, co-founder and President of AI company Anthropic PBC, stated that the astonishing cost of developing AI models is pushing companies like hers to turn to public capital markets for funding.
Just days after the developer of Claude secretly submitted an IPO filing in the U.S., Amodei said on stage at a San Francisco summit:
"A confidential filing gives us the right to choose the timing of our listing after review by the U.S. Securities and Exchange Commission (SEC). Unfortunately, about anything related to the IPO, that's all I can disclose at this point."
Amodei said Anthropic hopes to plan for the best outcomes, but will not purchase more compute resources than it can efficiently utilize. She said: "We would prefer to see demand for our products be just a little higher than what we can currently serve."
On the same day, Anthropic called on major leading AI labs to consider slowing down their R&D, noting that the speed of AI system evolution is extremely fast and could soon achieve self-improvement without human intervention—a capability that could pose significant societal risks.
In a blog post, Anthropic disclosed internal data, thoroughly documenting how its most advanced models are improving at an incredible rate. The post pointed out that AI model progress appears to be moving toward "recursive self-improvement," meaning AI systems could autonomously optimize themselves without human input.
The article said: "We believe it would benefit the world if the development of frontier AI could be slowed or temporarily paused, allowing social structures and related research to keep up with technological progress."
The post proposed reaching a global agreement to clarify how the speed of AI development could be slowed down, and to establish a mechanism for verifying whether competitors are abiding by this agreement.
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