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Breakthroughs in powerful, low-cost Chinese AI models are sending shockwaves through Washington and Silicon Valley, as Chinese companies continue to narrow the AI gap despite vast differences in computing power and financial resources. It all comes as the White House announces a new plan to redirect billions of dollars...

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"50% of global AI researchers are Chinese, and 70% of last year's AI patents came from China." ~ Jensen Huang And even beyond China's own geography, Chinese brains continue to play a major role in U.S. and Silicon Valley AI research.

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Scott Aaronson on practical quantum speedups: "Billions of dollars are being invested in quantum computing in hopes to accelerate machine learning, optimization, finance, AI. As a quantum algorithms person, honesty compels me to report that the situation is much, much iffier."

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China is once again unsettling its American competitors in the AI race. Chinese labs have returned to the spotlight with the unveiling of GLM 5.2, described as the most powerful AI model ever trained in China — and one of the leading open‑source models worldwide. 🔍 Key highlights of “GLM 5.2”: ♦️ It is considered the strongest AI model developed in China to date, and ranks among the smartest open‑source models available. ♦️ It operates at a cost less than one‑tenth that of Anthropic’s latest models, making it a far more economical option. ♦️ It is likely to attract developers and companies seeking powerful, low‑cost models — especially amid growing technical and geopolitical restrictions. ♦️ Some evaluations place the model among the top globally, trailing OpenAI’s models while outperforming several competitors in specialized benchmarks and performance tests.

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Mark Zuckerberg says progress comes from inventing tools that let us observe the world in a new way, from the microscope to AI models that simulate life itself. "Most major breakthroughs are basically preceded by the invention of a new tool to observe phenomena in a new way." “And then you try to unlock those tools and give them to the scientific community to accelerate the pace.”

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“There's a race to power, a speed to power right now, where all the AI companies are in a race to train up their models to win the AI arms race, they call it,” says University of Texas professor Michael Webber.
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“There's a race to power, a speed to power right now, where all the AI companies are in a race to train up their models to win the AI arms race, they call it,” says University of Texas professor Michael Webber.

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