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Some of the biggest names in artificial intelligence just agreed on something unusual: they will put more controls around their own AI systems. On September 29, U.S. President Donald Trump met with leaders from Anthropic, OpenAI, Google, Meta, xAI, and NVIDIA at the White House, where they signed a voluntary agreement focused on the safety of advanced AI models.
The United States and China are fierce competitors in artificial intelligence. Now, they are also preparing a direct way to communicate when advanced AI goes seriously wrong. Following a three-day summit in Washington, U.S. President Donald Trump and Chinese President Xi Jinping agreed to establish a bilateral communication channel for serious AI-related incidents. The agreement is being described as an “AI hotline.”
What if the company building some of the world's most advanced AI systems invited outsiders to sit inside the lab and check whether everything is actually as safe as it claims? Anthropic is about to find out. The AI company has chosen Accenture as its first partner for a new approach called “embedded evaluation.” Through Accenture's AI business, Faculty, outside evaluators will work alongside Anthropic teams to examine its frontier AI models from the inside.
What happens when an AI company stops asking, “What does the model think?” and starts asking, “Can we test it in a real laboratory?” That is exactly where Anthropic appears to be heading. The company behind Claude has quietly established a wet biology lab in the San Francisco Bay Area, where it can carry out physical experiments rather than relying entirely on computer simulations.
Imagine two countries racing to build the world’s most powerful AI systems. Now imagine those same countries agreeing that if something goes seriously wrong, they should at least tell each other. That is the conversation happening between the United States and China. Ahead of a planned meeting between U.S. President Donald Trump and Chinese President Xi Jinping in Washington on September 24
What happens when AI becomes powerful enough to make decisions, take actions, and potentially operate beyond the boundaries its creators expected? Microsoft wants one thing to be clear: humans should still be in charge. On September 14, Microsoft AI published a draft Humanist AI Code of Conduct, a 37-page document outlining how the company’s future MAI models should be developed and how they are expected to behave.
What happens when one of the world's most powerful AI executives is discussing whether artificial intelligence should slow down and the US president suddenly calls him? You put him on speaker. That is exactly what happened on Monday at the All-In Summit in Los Angeles, where Nvidia CEO Jensen Huang was discussing the growing debate over AI safety when his phone started ringing. The caller? Donald Trump. Huang answered.
The AI world is asking one big question right now: Are we moving too fast? But US President Donald Trump appears to have a different priority: making sure China does not win the AI race. Speaking during a visit to Ireland on Sunday, Trump dismissed growing warnings about the dangers of rapidly developing artificial intelligence, arguing that some of the predictions are exaggerated.
The debate over how fast AI should develop has just become a lot more complicated. Anthropic CEO Dario Amodei recently called on the AI industry to slow the development of increasingly powerful AI systems, arguing that the technology is advancing faster than society’s ability to manage its risks. But China is not buying it. China’s state-backed Global Times has described Amodei’s proposal as a “Cold War playbook”
The global AI race is no longer just about who can build the smartest chatbot. It is increasingly becoming a battle over who gets access to powerful AI, who controls it, and who gets to decide what is safe. And now, Anthropic has found itself right in the middle of that growing U.S.-China tension. In July, Chinese authorities publicly warned users about Anthropic’s Claude Code, an AI coding tool capable of writing, reviewing, and debugging software.
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