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China Is Quickly Eroding America’s Lead in the Global AI RaceChinese artificial-intelligence companies are loosening the U.S.’s global stranglehold on AI, challenging American superiority and setting the stage for a global arms race in ... say it could also ...
The proof is in his recent hiring spree that's poached top researchers from OpenAI, Google DeepMind and Claude's Anthropic to form Meta's new "Superintelligence" team. In an internal memo first ...
OpenAI declares AI race “over” if training on copyrighted works isn’t fair use National security hinges on unfettered access to AI training data, OpenAI says.
The National Academy for AI Instruction will make artificial intelligence training accessible to educators across the country ...
OpenAI is staking out a plethora of new artificial intelligence (AI) policy proposals that the research organization believes will help the United States maintain its lead over the Chinese ...
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China just redefined the global AI race—with massive ... - MSNThe race to AGI will be won not by the country with the most chips but by the one that best fosters true innovation. That could be the US, China, or perhaps some other country less locked into LLM ...
Intensifying global competition in AI funding could create market pressures that challenge OpenAI’s ability to maintain its leadership position amid rising costs and resource demands.
US President Donald Trump’s whirlwind visit last week to the Middle East saw a wave of AI dealmaking that could reshape the global technology landscape.
AI ARMS RACE: OpenAI co-founder Sam Altman joined three other artificial intelligence (AI) and technology executives for a Senate Commerce Committee hearing on winning the global AI race and ...
How global threat actors are weaponizing AI now, according to OpenAI The company's new report outlines the latest examples of AI misuse and abuse originating from China and elsewhere.
A look at China’s cost-effective surge vs. U.S. private-sector innovation and Europe’s regulatory hurdles in AI dominance over infrastructure, models, talent and pricing.
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