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Man-rating Tea app is the culmination of our new panopticon

Have we reached peak cancellation fatigue? Credit: Getty

Have we reached peak cancellation fatigue? Credit: Getty

July 28 2025 - 11:55am

Last week, the Tea app — a platform where women anonymously rate and review the men they date — rocketed to the top of the App Store charts. Then, it spectacularly imploded when it was exposed that 72,000 user images, including government IDs, were publicly hosted. It’s a perfect storm of contemporary anxieties: dating apps, privacy violations, being terrible at your job, gender wars, and the weaponization of gossip. But was anyone’s life truly ruined, apart from perhaps CEO Sean Cook and his developers?

This would have been unthinkable just five years ago. Even in 2020, being publicly tagged as a “red flag” on a viral app or website would have been a social death. Your employer might have been contacted. Your dating life would have evaporated. You would have hemorrhaged friends. You may have even contemplated suicide in the aftermath.

But in 2025, we’re exhausted, having reached peak cancellation fatigue. The machinery of public shaming, once so devastatingly effective, is breaking. Everyone has been problematic. Everyone has receipts. Everyone has that one screenshot that could, theoretically, destroy them. The result isn’t that we’ve become more moral, though. We are simply out of gas.

Gossip apps aren’t new. There was TheDirty.com, where anonymous submissions could destroy reputations with a single post. There were campus “secrets” Facebook pages, Honesty Box, Ask.fm, Whisper, and Yik Yak, all of which transformed schools into living burn books. There are Facebook groups which ask: “Are we dating the same guy?” The Tea app is just the latest iteration, refined and monetized. We’ve always been gossips. Now, platforms are just promising to make the whisper network “safe” or “accountable”. Yet every attempt fails, because the point isn’t accountability: it’s revenge, or entertainment, or some horrifying marriage of the two.

In 2022, the writer Rayne Fisher-Quann warned of this very phenomenon in a piece about West Elm Caleb, the serial ghoster who briefly became TikTok’s most hated man. But where others saw the beginning of cancellation fatigue, she saw acceleration. She noted how brands rushed to profit from the scandal, how the most serious allegation — non-consensual nude photos — was ignored in favor of more palatable outrage about ghosting, and how the spectacle served as “a system of smoke and mirrors that obfuscates true systemic change”. Fisher-Quann was right about the commodification and the distraction. But three years later, the machine she described seems to be grinding itself down through overuse.

Take the recent incident where Astronomer CEO Andy Byron and HR chief Kristin Cabot were caught on a kiss cam at a Coldplay concert, leading to both their resignations within a week. A couple of days of collective sneering synchronized outrage, then people moved on following a funny ad produced by the company. The customary 15 minutes of infamy have now been compressed into 15 seconds, distributed so widely that their ruinous power has been diluted.

First, our culture turned us all into cops — everyone watching one another, documenting infractions, building cases. But something happens when everyone realizes they’re simultaneously the watcher and the watched. This surveillance doesn’t produce better behavior: it produces nihilism; we are not so much more forgiving as more numb. The panopticon has become so total that it’s collapsed under its own weight.

The old model assumed most people’s lives were fundamentally private, with public exposure representing a catastrophe. But what happens when exposure becomes the default? When everyone assumes their worst moments are already documented somewhere — or worse, lied about? We learn to live with the ambient hum of potential humiliation.

The Tea app might spawn lawsuits and think pieces. Some venture capitalists will fund a competitor with better security. But the men whose profiles were exposed will, for the most part, be fine. Everyone has baggage. More important is that this incident represents the logical endpoint of a surveillance culture. In a world of surveillance, the only sane response is to stop caring. When everything is a scandal, nothing is.


Katherine Dee is a writer. To read more of her work, visit defaultfriend.substack.com.

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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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