Moving Safety Below the Application

Nvidia’s new Open Safety Platform takes a different approach than most AI safety tools on the market. Instead of asking an agent nicely to stay inside its task, it builds a wall the agent cannot see past, let alone step through. The platform has two main parts. OpenShell is the software layer. Sentry is the silicon layer. Together they move policy enforcement out of the agent’s own reasoning loop entirely. This article explains exactly how each piece works.

This is Part 3, the final part of a three-part series examining Chinese AI development from a genuinely Chinese vantage point. Part 1 traced the strategic origins and the export control era. Part 2 introduced the companies and scientists executing that strategy. Part 3 looks at where China is heading over the next five to ten years.

A Plan That Changes the Question Entirely

Part 1 and Part 2 of this series told a story about catching up. Export controls forced innovation. Startups closed the performance gap with Western labs. That story is now largely finished. The future of Chinese AI, as laid out in Beijing’s newest planning documents, asks a very different question. It is no longer about matching the West. It is about deploying AI everywhere, all at once, faster than any other economy on earth.

This is Part 2 of a three-part series examining Chinese AI development from a genuinely Chinese vantage point. Part 1 traced the origins of China’s AI strategy and the export control era that reshaped it. Part 2 introduces the specific scientists, labs, and companies executing that strategy. Part 3 will look at where China is heading over the next five to ten years.

A Landscape Too Complex for One Headline

Western coverage often collapses Chinese AI into a single word: DeepSeek. That framing misses the real story. Chinese AI companies today form a layered, competitive ecosystem spanning giant technology platforms, a cluster of fiercely independent startups, and a fast-moving hardware sector trying to catch up on chips. Understanding this ecosystem means understanding how differently each layer behaves, and why.

This is Part 1 of a three-part series examining Chinese AI development from a genuinely Chinese vantage point. Part 1 traces the origins of the Chinese AI strategy, the philosophical shift from ambition to self-reliance, and the export control regime that reshaped everything. Part 2 will examine the specific companies, labs, and scientists who executed this strategy. Part 3 will look at where China is heading over the next five to ten years.

A Story Sometimes Told From the Wrong Side

Most coverage of Chinese AI treats it as a reaction to American innovation. DeepSeek gets framed as a surprise. Huawei’s chips get framed as a workaround. This series takes a different approach. It asks how China itself understands this journey, what problem its leaders believe they are actually solving, and why the country’s AI strategy looks the way it does today. Understanding the Chinese AI strategy on its own terms requires starting well before DeepSeek existed, well before ChatGPT existed, in a 2017 policy document that set the entire direction in motion.