The launch of Moonshot AI's latest model, Kimi, has reignited debates about American competitiveness and the tension between open and proprietary AI. While social media buzzed with discussion, the conversation has also moved behind the scenes in Washington, D.C., where OpenAI and Anthropic have reportedly lobbied regulators, expressing concerns about open Chinese models.
On a recent episode of TechCrunch’s Equity podcast, Kirsten Korosec, Sean O’Kane, and I explored why this topic has become such a flashpoint. Beyond suggesting that some folks should “touch grass” instead of arguing on X all weekend, Sean noted that 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 raised a critical question about the potential impact of heavy restrictions on Chinese AI: “Are we accelerating and ensuring that Americans win the AI race, or are we ensuring that certain frontier labs do better than others?”
Read on for an excerpt of our conversation, edited for length and clarity.
Anthony Ha: For anyone following the discourse around Chinese AI, this will feel very familiar—it’s a pattern that emerged with DeepSeek. A Chinese model comes out, it matches or at least competes with frontier models on some benchmarks, and a portion of the tech industry loses its mind.
This time, the debate got extra scrutiny because one of the people posting about it was an executive at OpenAI. But the recurring question remains: Can Chinese companies beat US companies, at least in some areas, while doing it more cheaply and more openly?
Sean O’Kane: There are many elements of this that feel like repeats of prior freakouts. One of my favorites is how ready everyone is, expecting something to arrive and blow everything else away. A perfect example from this past week: people were showing off that “My gosh, Kimi made an entire replication of macOS in 30 minutes.” And sure, it produced a pretty impressive graphical reproduction of macOS—but it’s not an OS.
We keep seeing this over and over. Everybody’s so jumpy in the tech industry, especially with Chinese models. There’s this expectation that something will fundamentally disrupt the status quo. I think that’s at the core of why people reacted the way they did last weekend. (Also, by the way: go outside, touch grass—it was the weekend. Yet everyone in the industry was trading barbs on Twitter all weekend.) The jumpiness is interesting because now, a week later, I don’t think anyone feels the end is nigh like they did then.
Kirsten Korosec: Our reporter Tim Fernholz wrote a great story trying to unpack this psychosis in the United States. He points to several reasons and concludes—though I don’t want to put words in his mouth—that one factor rises above the rest.
via TechCrunch AI