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SNL breaks the trans taboo

Proud parents. Credit: SNL

Proud parents. Credit: SNL

April 14 2025 - 11:50pm

On Saturday Night Live last week, the unthinkable happened. No, it wasn’t that the storied comedy show reached its 1970s zenith of funniness. Rather, it ventured into territory that had been marked off limits to mainstream comedy for the past decade: transgender identity.

In “New Parents”, a skit starring guest host Jon Hamm and series regular Bowen Yang as gay partners, two heterosexual couples demand to know how they, overnight, became parents to a newborn baby. “Where did it come from?” they keep asking. After all, two men can’t make a baby, especially in the time between when they went out to a rave called “Bulge Dungeon” and showed up at brunch the next morning.

Hamm and Yang feign indignation at being asked such invasive questions. When questioned about who the mother of the child is, they debate whether Yang — an emotional lover of shopping — or Hamm — a long-haired alcoholic — is the real mom, then decide they both are. They get more offended with each passing question, including a benign one about how many foreign languages Yang speaks — a question he dismisses as “transphobic.” The baby, Yang says, goes by “she/they—until he tells us otherwise.”

Not long ago, poking fun at gender ideology fuelled a backlash — or at least a walkout by Netflix employees, who were furious at what they insisted were the transphobic rantings of Dave Chapelle. Netflix, undeterred, released more transphobic rantings, this time from Ricky Gervais, who dismissed “old-fashioned women, the ones with wombs” as dinosaurs, and embraced “the new women…the ones with beards and cocks”.

But SNL’s gentle mocking of babies with neo-pronouns and the labeling of anything and everything as “transphobic” marks the mainstream foray into this forbidden territory. They’ve been out of that business for years, since many adult trans people complained that the show’s popular early-90s skit, “It’s Pat,” ruthlessly portrayed a character whose sex no one could determine. Such a portrayal caused “harm” in the overly-sensitive early twenty-first century.

The last thing I expected from the Trump 2.0 era was that comedy would discard its sacred cows, too pure and vulnerable to mock. But perhaps the cultural pendulum is finally swinging back — not toward cruelty or mockery for mockery’s sake, but toward something more free. A space where comedians can point out absurdities without being crucified for it, where laughter is allowed to coexist with nuance. In a climate where a misstep can mean cancellation, daring to joke about anything “off-limits” feels almost radical. It’s not about punching down; it’s about refusing to tiptoe forever.

Either way, there’s one slogan many Americans can agree on: make comedy funny again. This was, at least, a start.


Lisa Selin Davis is the author of Tomboy. She writes at Broadview on Substack.

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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

July 1 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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