Who gets to decide the future of artificial intelligence? Hopefully not a handful of progressive tech companies in California, which is why President Trump signed […] Source
The situation, according to AI experts, is highlighting the need for more open-source development in the U.S. to prevent China from taking advantage of a lack of American frontier models.
The pro-AI movement is splintering over a defining question: whether national security concerns outweigh the need to keep America's AI companies ahead of Chinese rivals. Why it matters: The fight is happening in public, in real time, and it could reshape the way the administration regulates the world's most powerful technology. Catch up quick: David Sacks — Trump's former AI and crypto czar — warned that restricting access to America's most advanced AI models risks undercutting the strategy Trump laid out just a year ago. - "A year ago, President Trump declared that America was in a global AI race and that the way to win it was to be pro-innovation," Sacks wrote on X . "President Trump was exactly right. We deviate from that strategy…
Washington is racing to sell the world on American AI just as China's cheap and capable models are becoming harder to ignore. Why it matters: Chinese models don't have to beat OpenAI or Anthropic to reshape the global AI order. They just have to be useful, available and widely adopted. Between the lines: Experts argue that two key things are kneecapping the U.S. government's desire to export American AI: - An erratic export controls strategy that involves making decisions about access to advanced models on the fly. - Not paying sufficient attention to China's efforts to spread its open-source AI models abroad while deploying AI at scale across manufacturing, health care and other industries domestically. Driving the news: The State…
GLM-5.2 — the latest Chinese open-source model capturing Silicon Valley's attention — is raising fresh concerns among security researchers that advanced AI hacking capabilities are becoming dramatically cheaper and more accessible. Why it matters: The barrier to entry for malicious hackers eager to automate and personalize their attacks is getting lower and lower. Driving the news: Z.ai's GLM-5.2, which was released last week, has agentic capabilities that rival those of Claude Opus 4.8 and OpenAI's GPT-5.5 while costing roughly half as much to run. - Two separate security evaluations from Graphistry and Semgrep found that GLM-5.2 performed on par with leading U.S. models on cybersecurity investigation and vulnerability-discovery…
One of the biggest unknowns in AI security is also one of the most consequential: China's progress toward frontier AI models. Why it matters: The world is only months away from AI models dramatically accelerating cyber threats, Five Eyes leaders warned Monday. - Yet preparations are being slowed by Washington infighting and industry-wide confusion over how to measure AI risk. Driving the news: A new Chinese open-source model , GLM-5.2, rocked the internet this weekend with its ability to match the agentic capabilities of models like Anthropic's Opus 4.8 — garnering praise from Silicon Valley elites and raising questions about just how quickly China will close the gap. - At the same time, the Trump administration is still debating…
Silicon Valley and corporate America are increasingly turning to cheaper, open-source artificial intelligence models built in China.
The White House's move to restrict access to Anthropic's latest AI model — using what is known as export controls — could harm the long-term financial prospects of the entire U.S. AI industry. Why it matters: Anthropic and OpenAI's valuations depend on the global adoption of their most advanced models, and government restrictions could limit that growth. Zoom in: If this move is more than a temporary blip, "it's not great news for U.S. tech firms or for those assuming breakneck speed of AI adoption," Jim Reid, global head of macro at Deutsche Bank, wrote in a research note. - Hundreds of billions of dollars are being spent by the data center hyperscalers and the AI labs to fund their ambitions, seeking to eventually profit from…
AI:The White House has implemented new export controls restricting access to Anthropic’s advanced AI models, a move that threatens the financial stability and global adoption goals of the entire American AI industry. By limiting the reach of top-tier technology from leaders like Anthropic and OpenAI, the government risks stifling the revenue growth of these massive firms just as they prepare for public offerings. These regulatory interventions create significant uncertainty for tech hyperscalers and could inadvertently drive international markets toward Chinese open-source alternatives, undermining American technological dominance by encouraging the development of non-U.S. competitors.Open
IBM CEO Arvind Krishna backed the Trump administration's executive order on artificial intelligence and cybersecurity at Axios' AI+NY Summit Wednesday, preferring light government guardrails over more active intervention. The big picture: The long-awaited order is an attempt to fortify the country's cyber defenses, but it doesn't compel AI companies to share information about their latest models. Driving the news: "You want to have light regulation ... and not creating a big bureaucracy that can slow things down," Krishna told Axios' Maria Curi. - Krishna, who has appeared beside the president as he's cheered on American AI development, has said the government has to find a "Goldilocks" zone to regulate AI without hampering…
Chinese companies have embraced making their most advanced artificial intelligence models available to all.