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Jennifer Lopez, Subway Takes and progressivism’s dark heart

Still Jenny from the block. Credit: Subway Takes/YouTube

Still Jenny from the block. Credit: Subway Takes/YouTube

8 June 2026 - 1:00pm

Subway Takes, an online series in which celebrities sit on the New York Subway and offer their hottest “takes”, is an interesting cultural phenomenon. This is not because of the quality of the opinions expressed, but because it reveals how empty-headed famous people are — and, more than that, how much their takes, at a deep, logical level, contradict their progressive belief structure.

A good example of this can be found in the recent episode featuring the singer Jennifer Lopez. Speaking to host Kareem Rahma, J.Lo argues that you have to be born in New York to be a New Yorker. Though she might not realise it, this view evinces a tribalism that would impress the most ardent nationalist. Its logic is basically conservative and, applied at scale, is equivalent to nationalism. Fans, recognising this, were not happy.

Lopez’s take, interestingly, bears rhetorical similarity to Spencer Pratt’s mayoral campaign in Los Angeles, which appeals to pride in being an Angelino and having a sense of duty to clean up one’s hometown. If one can “be” a New Yorker or an Angelino, if there exists an inherited culture and tradition, then there is something worth defending. It follows, therefore, that there must be rules and limits. In this political mode, true locals righteously reject the grad-school socialism of transplants.

Subway Takes appeals to urban progressives and wannabe media elites because it gives famous people — and up-and-coming famous people — a chance to show that they don’t entirely think in orthodoxies. It is not really designed to be a vehicle for public displays of deep thinking, but instead to show that celebs are people too — they have a (safe) edge.

The basic format involves getting a progressive celeb or micro-celeb to say they don’t like XYZ and that XYZ should stop or go away. The optics and the tone of the show — funny and optimistic — evoke Mamdani-era Leftism, but the underlying message has a hint of the dark and reactionary, speaking to a need for the social order that progressivism has otherwise disallowed. It introduces the idea of an us and a them, things which should be done and things which shouldn’t. By their very nature, these takes are rooted in basic instincts about the fabric of society.

Urban progressives do not really practice equal-opportunity tolerance and see no reason why certain groups of bad guys or outsiders should be excluded from the fruits of professional-managerial-class utopia. They are often willing to advocate for tribalism and exclusion — based on race, caste, geography, and class — as long as they feel they’re talking to a fellow progressive in service of larger progressive goals. Vox-pop interviews simply draw out this revealed preference.


Matthew Gasda is a playwright, author, and columnist for UnHerd, based in New York City.

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China is threatening America in the AI race

Reports sugget Zhipu AI  has released a new model that can rival leading US systems. Credit: Getty

Reports sugget Zhipu AI has released a new model that can rival leading US systems. Credit: Getty

1 July 2026 - 10:18am

China is trying to catch up with America on artificial intelligence. The Wall Street Journal has reported that Zhipu AI — one of China’s six “AI tiger” LLMs — has released a new model that can rival leading US systems, including Anthropic’s Mythos, in cybersecurity tasks such as pinpointing security bugs. While this marks a milestone in China’s drive to catch up with Western AI capabilities, strong performance on a single benchmark does not mean it has taken the lead. Chinese models still lag behind their Western counterparts in broader capabilities, such as autonomous operation. Skepticism is therefore warranted before resorting to hysterical conclusions, but complacency about the geopolitical implications of China’s AI advances would be an even greater mistake.

On the infrastructure side, Chinese AI is still constrained by access to advanced chips, with American labs way ahead in computing capacity as well as investment. Analysis from earlier this year suggests that Chinese models are likely to be at least a few months behind those in the US. But they are still continuing to make progress, or that the geopolitical importance of AI will be decided only by whose LLM has ventured deeper into the technological frontier. The practical applications of AI, countries’ to capture foreign markets, and the application of AI into the real economy will matter just as much.

Here, China may hold an advantage. As with its dominance across many critical supply chains, Beijing may not need to produce the most advanced AI systems — only those that are affordable and widely deployable. In doing so, it could consolidate global influence by supplying functional, low-cost AI at scale.

Beijing seems to be pursuing exactly that path, developing an AI “open-source” strategy that offers affordable, widely available AI models for companies and individuals to use and modify as they wish. The production of the DeepSeek AI model, which matched the performance of Silicon Valley tools such as ChatGPT at a fraction of the cost for users, created goodwill among Chinese models with developers.

The four most popular models on OpenRouter, an AI hardware platform for developers, are now all Chinese. The goal for China is not only to win the frontier-model race, but to make its systems the default layer of AI adoption across industries and global markets. For most economies, the choice is increasingly between an affordable tool they can deploy now and a more robust one that may be out of reach.

And while the countries adopting Chinese models may be exposed to political pressure and cyber threats from Beijing, safer and more capable alternatives matter little if they are unaffordable. American AI companies are already under pressure to monetize products whose operating costs are rising. If Chinese open-source models become the cheap default for startups, universities, governments and businesses across the developing world, then America’s AI lead will be eroded from below.

Perhaps more concerning for America in the long run is how AI can give Chinese manufacturing even more strength, through the ongoing integration of AI as a general-purpose technology. China’s new Five-Year Plan mentioned AI more than 50 times and includes an “AI+” action plan aimed at spreading AI across the economy.

Beijing has been pioneering automation of its critical infrastructure for years, with promising recent results in increasing warplane production capacity. In that regard, China’s open-model strategy and manufacturing dominance will reinforce each other. Cheap, adaptable models accelerate deployment across the real economy while those deployments generate real-world data and use cases that can feed back into further model improvement.

The United States should not dismiss the importance of its lead in the AI race. That lead worries Beijing, not least because a more automated Chinese economy would also become more vulnerable to AI-generated cyber threats. But nor should Washington assume that China cannot catch up with American capabilities over time.

This AI competition represents part of a broader struggle over tech supply chains and geopolitical influence. Decisions over whether to adopt US or Chinese models could produce a more fragmented global reality, with different regions relying on different cloud providers, chips and security structures. The result will likely be a global economy which is divided into competing spheres, rather than one which produces a single winner.


Miquel Vila is a political and geopolitical risk consultant focusing on industrial strategy, critical infrastructure and global supply chains.

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