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Continued sales of advanced GPUs to China raise concerns over America's position in the global AI race.
Chips are the backbone of modern artificial intelligence. One chip in particular, Nvidia's H20, has become a flashpoint. Developed specifically for the Chinese market, the H20 was engineered to avoid existing US export controls while preserving key capabilities that make it highly attractive for advanced AI systems.
National security experts and AI policy leaders have urged the US government to treat chips like the H20 as a strategic asset. And until just days ago, it appeared the Trump administration was prepared to act—moving to block their sale to China.
Following a dinner at Mar-a-Lago attended by Nvidia CEO Jensen Huang, the administration reportedly paused plans to impose further restrictions on H20 chip sales to China. Sales will continue. Experts argue the decision undermines a policy Trump has championed: to ensure America, not China, leads the world in AI.
A Key Shift in AI
Sales of the H20 chip carry [...]
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Outline:
(01:09) A Key Shift in AI
(02:59) Americas Last Advantage
(05:07) Profits or Policy?
(06:39) The Worst Possible Time
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Narrated by TYPE III AUDIO.
AI risk may have unique elements, but there is still a lot to be learned from cybersecurity, enterprise, financial, and environmental risk management.
Malcolm Murray — Apr 9, 2025
Image: MchlSkhrv / iStock
Unlocking AI's potential means prioritizing hope for what can go right over fear for what could go wrong.
Kevin Frazier — Apr 9, 2025
Cover image: The production line at a semiconductor factory. Credit: SweetBunFactory / iStock
Rather than rushing toward catastrophe in a misguided belief that racing is inevitable, the US and China should recognize their shared interest in avoiding an ASI race.
Corin Katzke and Gideon Futerman — Apr 9, 2025
This post was adapted from a report originally published by Convergence Analysis.
Image: traffic_analyzer / iStock
AI is naturally prone to being tricked into behaving badly, but researchers are working hard to patch that weakness.
Andy Zou and Jason Hausenloy — Apr 9, 2025
Dan Hendrycks, the founder and Director of the Center for AI Safety (which funds this publication), was a co-author on the paper that introduced "circuit breakers," a machine learning technique discussed in this article.
Image: Getty Images
Autonomous systems are being rapidly deployed, but governance efforts are still in their infancy.
Noam Kolt — Apr 9, 2025
Image: GoogleDeepmind / Unsplash
The Compute Shortage of 2028-2031
The following scenario is hypothetical.
– Wikipedia entry [last edited 03/25/2034]
Most historians point to two key incidents as the catalysts of the Great Compute Shortage. First, China successfully blockaded Taiwan from late 2028 through 2029. Taiwan Semiconductor Manufacturing Company, the globe's leading chipmaker, saw its Taiwan-based operations grind to a halt. Second, Russia sabotaged Advanced Semiconductor Materials Lithography, Inc.'s operations via a novel cyberattack, stalling production of the lithography systems at the core of chip creation.
Attempts to mitigate these production losses were largely ineffectual. Operation Heavy Lith, a coordinated EU initiative, experienced significant delays due to the bloc's extensive monitoring and reporting process. Meanwhile, in 2029, the US Congress passed the CHIPS 2.0 Act, appropriating over $750 billion to semiconductor manufacturing. The Act, however, required any new lithography and chip production project to complete a multi-stage proposal and review process before [...]
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Outline:
(00:10) The Compute Shortage of 2028-2031
(02:43) Procedural Paralysis
(05:45) Abundance in Action
(07:13) Abundance and AI
(10:14) Solving AI Scarcity
(12:19) Future Abundance
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Narrated by TYPE III AUDIO.
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