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Male attacks on Tinder height feature are hypocritical

Tough times for the short kings. Credit: Getty

Tough times for the short kings. Credit: Getty

June 4 2025 - 1:00pm

“Do I like him, or is he just tall?” It is a question that most straight women have asked themselves at least once; the answer, I’m sad to report, is almost always “just tall”. Nevertheless, the fact of these women’s strong revealed preferences for sky-scraping men — they are most happy, studies show, when their partners are eight inches taller — continues to be a critical decider in their selection process on dating apps. Of this there is no doubt.

But in the week that Tinder began testing a “paid height preference”, the toxic question of physical type popped its lofty head above the parapet once more. The dating app says giving users the ability to filter for height allows them to “connect more intentionally”, which smothers in euphemism what many men on social media have understandably taken to be an existential threat. Is it really over for the short king?

First, let’s address the alarmism. Hinge, Tinder’s dating app stablemate, has used a similar height-selection feature for a long time. Also like Tinder, it requires users to sign up for paid subscriptions, something which is anecdotally rare — particularly for women. Secondly, the tool is only a “preference”; some shorter-height profiles will still be shown even to those who opt to filter them out. What’s more, if shorter men do have a rough deal on dating apps — and there is no reason to believe they do not — then this feature will only partially automate a filtration process which women were doing manually anyway.

So, to the short kings reading, stand down. The radioactive discourse springing from Tinder’s announcement was never really about the news itself. What this week’s swamp of acrid tweets about the issue really revealed was the griminess of modern sexual discourse. The story provided an opportunity for embittered men and women to tear chunks out of each other. Some suggested a “weight filter” as a retaliatory measure, while other filters — “baby momma”, “TDS” (Trump derangement syndrome), “bra size” and “income” — were floated by a volley of disgruntled X users. What all the wailing amounted to was this: “You think I’m short? Well you’re a fat, flat slag — and also really judgmental.”

The phenomenon of dating apps has only revealed dating’s basest fundamental mechanisms, which have always existed but have never been quite so visible. A recent conversation with a male friend enlightened me. He, as a fairly successful dater, took pleasure in shocking me, an old romantic, with “the male perspective”. “All women fall into three categories,” he drawled. “Keeper, sleeper and sweeper. You marry the first, sleep with the second and sweep the third aside.”

He explained that the category into which women fell depended mainly on what they looked like; unlike men, they could not move between value bands by being, for example, rich or funny. Of course, an enlightened chap like him would never take this rubric seriously — but I got a sense, having done a little digging since (including on the theory’s source, a fascinating YouTube channel called “Hoe Math”) that many men do.

If women, then, are strictly valued on physical appearance, why shouldn’t men be? Every woman in the world knows how instantly and irrevocably the way men — suitors or otherwise — treat them changes based on whether they are thin, fat, blonde, mousy, in jeans or in a miniskirt. That women are more sexually selective — for reasons of biology, risk and investment in offspring — is a simple fact of life. To those despairing, a word of advice: look your best, be nice and be normal. And for those understandably frustrated by the surface-level nature of the apps, simply delete them. Life, among other things, is too short.


Poppy Sowerby is an UnHerd columnist.

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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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