The release of Kimi, the latest AI model from Chinese company Moonshot AI, has sparked renewed discussions about American competitiveness and the ongoing debate between open-source and proprietary artificial intelligence. While social media buzzed with commentary, the conversation appears to be happening behind closed doors in Washington, D.C., where OpenAI and Anthropic have reportedly expressed concerns to regulators about open Chinese models.

Sean noted that rather than spending weekends arguing on X, some people might benefit from going outside and touching grass. He observed that in many ways, this "feels like we’re seeing repeats of prior freakouts," with Silicon Valley "expecting that something is going to arrive and blow everything else away." Kirsten added that imposing strict restrictions on Chinese AI models could primarily benefit a select few companies, raising the question: "Are we accelerating and ensuring that Americans win the AI race, or are we ensuring that certain frontier labs do better than others?"

Below is an excerpt from our conversation, edited for clarity and length.

**Anthony Ha:** For anyone who has followed discussions about Chinese AI, this scenario will feel very familiar since the launch of DeepSeek. A Chinese model emerges, performs competitively on certain benchmarks against frontier models, and a segment of the tech industry reacts with alarm. This time, the debate received extra attention because an OpenAI executive was among those posting about it. The recurring question remains: Can Chinese companies outperform US companies, at least in some areas, while doing so more cheaply and openly?

**Sean O'Kane:** Absolutely. Many elements feel like repeats of previous panics. One of my favorite examples is how everyone is so ready for and expecting something to arrive that will blow everything else away. Last week, people were showing off that Kimi created an entire replication of macOS in 30 minutes. Yes, it produced an impressive graphical reproduction of what macOS looks like, but it's not an actual operating system. We keep seeing this pattern where the tech industry gets jumpy. With Chinese models in particular, there's this expectation that drives reactions—and I think that's at the core of why people responded the way they did last weekend. (By the way, go outside, touch some grass—it was the weekend, and everyone was trading barbs on Twitter all weekend.) This jumpiness is fascinating because now, a week later, nobody seems to feel like the end is near like they did before.

**Kirsten Korosec:** Our reporter Tim Fernholz wrote an excellent story trying to unpack the psychosis around this in the United States. He points to several reasons and concludes—though I don't want to speak for him—that one stands out above the rest. There are concerns about Chinese open-weight models having implicit bias toward China, along with worries about security risks and guardrails. But there's also a major idea here: protectionism and who will "win the race"—the US or China. That seems to be driving much of the fear. Anthony, do you agree?

**Anthony:** Completely. The China aspect always adds a certain level of hysteria. That's not to say people shouldn't be concerned about how the US stacks up against China across different industries, but the reaction gets so amped up. This reminds me of the discussion around TikTok a few years ago. Again, I'm not saying the concerns were entirely made up, but the level of panic—it seems that as soon as you add the word "China" to any discussion, things ramp up dramatically. In this case, it's linked to the debate about open weights and the idea that AI is so powerful and dangerous that only proprietary models from American frontier companies can control it. Obviously, most people saying this have reasons for doing so. David Sacks, who served as AI czar for the Trump administration and now holds a different role, was shouting on X about how "I can't believe people are opposing data centers, we're tying ourselves in knots, there's too much regulation." It's a way to argue for positions they already held on AI: "My gosh, if China beats us, that's unthinkable, so you have to do what I want to do anyway."

**Kirsten:** Right. And if you were to impose across-the-board bans on Chinese open-weight models—I'm not saying there aren't real concerns, but let's play that out. Doing so would benefit models created by OpenAI, for instance, and force enterprises to use them instead of models like Kimi. So you really have to ask: Are we accelerating and ensuring that Americans win the AI race, or are we ensuring that certain frontier labs do better than others?

**Sean:** At this point, it's worth noting that much of this discussion was kicked off by Dean Ball, the head of strategic futures at OpenAI, who posted a lengthy message raising these concerns. Part of me thinks the reaction was because people disagreed with what Dean wrote. Part of me also thinks it was driven by the fact that he essentially said the thing out loud. He basically argued that the US should create regulatory FUD—fear, uncertainty, and doubt—to hinder the ability of these open-weight models to compete with the US. (Ball later backed away from this argument.) To me, you can read in some of the responses from folks: "You're not supposed to say that out loud, Dean."