Jack Clark, co-founder of Anthropic, the private company behind Claude AI, confirmed that the Trump administration was briefed before the release of the new Mythos AI model. At the Semafor World Economy Summit, Clark stated that the new model’s advanced capabilities are raising concerns, especially in cybersecurity. As a result, Anthropic has restricted public access to the AI model. Clark also mentioned that the private company is currently working to make Mythos safer for the public before it is fully released.
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Trade NVDA with leverageAnthropic Maintains Government Ties Despite Legal Dispute
During the summit, Clark confirmed that Anthropic is working with the U.S. government to mitigate the potential risks the Mythos AI model could pose to national security. He emphasized that the government should be aware of the technologies as they could significantly impact the economy.
Notably, Anthropic’s recent partnership with the U.S. government follows a period of heated relations over its Claude AI models. The private company filed a lawsuit against the Department of Defense (DoD) after it was labeled a supply chain risk. The dispute began after Anthropic declined to provide the Pentagon with unrestricted access to its AI systems.
Mythos AI Capabilities Trigger Security and Industry Concerns
Clark noted that Anthropic plans to continue discussing its plans with government officials, including its future AI models. Notably, the government has also encouraged Goldman Sachs (GS), JPMorgan Chase (JPM), and other major banks to test the AI model to determine how it might pose risks to their financial systems.
The Mythos AI model is reported to be more advanced than the past models, as it can detect and exploit software vulnerabilities faster than most humans can. This ability could also be exploited by bad actors or hackers, potentially threatening financial systems.
According to Clark, the AI model might also have a broader impact on unemployment and higher education. These capabilities are raising concerns about cybersecurity risks and the need for close monitoring of AI systems as they continue evolving.
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