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Beijing Rejects AI Caution as US Tech Leaders Warn of Perils
China said warnings that it is racing ahead in artificial intelligence are counterproductive, after Anthropic’s Dario Amodei urged tighter U.S. chip controls.
- On Monday, China's Ministry dismissed Anthropic CEO Dario Amodei's recent warning about AI development, with spokesperson Guo Jiakun calling the rhetoric "fearmongering" that disrupts global AI governance.
- Amodei's essay on Saturday claimed a Chinese AI lead poses "grave danger," prompting Global Times to brand his argument a "Cold War playbook" for the AI sector.
- State Security head Chen Yixin warned Sunday that AI in hostile hands could pose a "direct threat" to China's political security, citing capabilities from U.S. companies like Anthropic.
- President Donald Trump pushed back Monday against slowdown proposals, describing them as a "SICK conspiracy" that could allow China to eclipse the United States on artificial intelligence.
- These exchanges precede a September 24 meeting between President Trump and Xi Jinping, where AI governance will be discussed alongside broader trade tensions as both nations seek to prevent the other from establishing a technological advantage.
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According to Dario Amodei, the boss of Anthropic, the regulation of AI must also go through the ban on exporting certain technologies to China. A position that makes Beijing react. ...
·Brussels, Belgium
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Anthropic CEO Calls for Global Slowdown on Advanced AI Development
Anthropic CEO Dario Amodei has called for a coordinated global slowdown in advanced AI development until safety and alignment measures can match capability gains, echoing similar past warnings from Elon Musk, Sam Altman, and Demis Hassabis. The debate highlights tensions between rapid innovation’s benefits and its existential risks.
Amodei asks to curb the global race. China fears that the bonds will become a weapon to defend the US primacy
·Turin, Italy
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Total News Sources20
Leaning Left6Leaning Right4Center3Last UpdatedBias Distribution46% Left
Bias Distribution
- 46% of the sources lean Left
46% Left
L 46%
C 23%
R 31%
Factuality
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