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AI found a way to make middle school worse

an illustration of a sad girl interacting with a happy robot holding an ipad

There’s a lot to be anxious about as AI agents and bots get more integrated into every aspect of our lives. Meta, which recently agreed to pay over $17 billion to settle a lawsuit related to harming kids, now wants you to hand over all your online accounts to an inexplicably cute “agent” named Muse that might give a stranger your home address. OpenAI just introduced little blobs called Dots that can supposedly automate routine tasks, like planning dinner and ordering it from your favorite neighborhood spot. AI companies don’t just want you to talk to their chatbots; they want their agents to be an indispensable part of your daily routine.

As a parent, however, I think that perhaps the worst thing AI could do is be my kid’s friend. 

AI companions have been around longer than ChatGPT, and they’re growing in popularity with young users. More than half of teens have interacted with AI companions at least a few times a month, and one in three decided to talk about a serious issue with AI companions instead of real people, according to a Common Sense Media survey conducted last year. In certain groups and situations, a chatbot could offer some benefit — a lifeline for, say, LGBTQ youth who don’t have any in-person support networks, one study found. But even so, there are important caveats and risks.

Meanwhile, other experts are telling parents never to let their kids access AI companions, warning them that these chatbots have a history of offering dangerous advice and engaging in sexualized conversations. Sixteen-year-old Adam Raine died by suicide last April after developing a relationship and discussing his plans with ChatGPT.

If you have kids, these are horrifying stories to hear. It’s reasonable to wonder how widespread the issues are, and who they are affecting most. As of right now, the majority of younger kids aren’t using AI for companionship (phew!). But for those who are, where do the issues arise? And how do they go from using ChatGPT for help with their homework to opening up to it about their problems to preferring it to their human friends? 

Some answers are starting to emerge from research. 

Why I wrote this

My first daughter was born not long after ChatGPT hit the scene, and as someone who’s covered tech for years, I knew the technology’s effects would be profound, especially for young people. So when I came across Anne Maheux’s study on middle schools and AI companions, I had to know more about how things are going.

For even young adolescents, there’s a direct link between AI companion use and mental health issues, according to a new study by researchers at the University of North Carolina at Chapel Hill. Their paper, which is still under review, is the first longitudinal study in the US that has looked at the bidirectional association between AI companionship in adolescents and mental health issues, according to one of the researchers. It charted AI use among 2,300 middle schoolers and found that about one in five used AI for emotional companionship. Those who used AI more reported higher levels of loneliness.

“It’s not just that the lonely kids are using AI, and they’re otherwise unharmed,” said Anne Maheux, an assistant professor of psychology and neuroscience at UNC Chapel Hill and the lead author on the study. “It is that using AI comes first, and middle school students are increasing their sense of loneliness following the use of AI.”

I recently spoke to Maheux about her research and the role of technology in young people’s lives. We discussed how much parents and teachers know about what is going on, what kids get out of human relationships that AI can’t provide, and whether she’d let a child under her care use an AI chatbot. While she said there is a lot to be scared of right now, there is some evidence that, when designed with the intention of promoting child learning and development and under the supervision of a caring adult, AI can offer some benefits, and, ultimately, she’s optimistic that we can design a better future for kids. 

The conversation below has been lightly edited for length and clarity.

How do so many kids end up with an AI companion? Do kids start using AI for homework help and end up in an emotional relationship with the technology? 

At a high level, AI companions — in our darkest vision of what that might look like — would be a kid calling an AI chatbot their best friend. That phenomenon is still quite rare. There are certainly plenty of kids who are experiencing that, but it’s not to say that it’s all kids or even most kids. I think that’s good news. 

But it’s also true that the line between opening up AI to ask a question about your homework and a full-blown AI companionship relationship involves a lot of gray areas. There’s evidence, mostly preliminary and anecdotal evidence, to suggest that very few people open up to AI with the primary initial goal of developing an intimate friendship or relationship. 

Most people open it out of a curiosity, sense of novelty, or seeking an answer to a question that’s very pragmatic. Then that can potentially evolve into something more akin to seeking personal advice or help making a decision or help making sense of one’s recent experiences with other humans. And that can potentially evolve to something that’s a bit more emotional.

What did your latest study on adolescents, AI companions, and mental health reveal?

Some kids seek out AI for certain purposes in different ways than other kids. For some kids, AI companionship is particularly attractive, especially the kids who maybe don’t have close friends or social networks in their offline life and who are already lonely. 

It’s a chicken-and-egg problem. Is it that these kids are seeking out AI companions or is it that having an AI companion is exacerbating those potential vulnerabilities or exacerbating risk for mental health problems? What we found is that interacting with an AI companion in a way that’s akin to emotional intimacy among middle school students is longitudinally associated with increases over time in loneliness. So the kids who are seeking out these companions, who are presumably already lonely, are also experiencing an increase in loneliness over time. 

There is this potential directionality question that we’re starting to answer here: It’s not just that the lonely kids are using AI, and they’re otherwise unharmed. It is that using AI comes first, and middle school students are increasing their sense of loneliness following the use of AI. In other words, middle school students using AI for emotional intimacy and companionship developed greater loneliness over time.

Do you have a sense of how often these kids are using the chatbots? 

In our sample — so again, these are US middle school kids — about 15 to 20 percent say that they’re using it at least a few times a week for any purpose. We don’t have specific rates of use for companionship because the questions that we asked were just not framed in a frequency measure, but more in how emotionally intimate they felt with the chatbot.

What else could have been causing that loneliness?

There are almost definitely many causes, and I think that our data suggests that AI companionship may be one cause. It certainly isn’t definitive. Obviously, I have to say that. I’m a scientist and trying to be hesitant about these things, but the reality is that whether or not AI use causes loneliness in this particular case, there are definitely other things that are also causing loneliness. 

That could be a myriad of things about the kid, maybe they have a lot of social anxiety, maybe they struggle with social skills, maybe the kid has had struggles in their family life and doesn’t have a strong sense of connection and belonging at home. It could be structural things. The kid just doesn’t have enough access to appropriate resources. So certainly there’s other things that are at play here, and typically technology use is one of many factors that can influence a kid’s mental health. 

And how much do you think that parents and teachers know about what’s going on, and how well-equipped do you think they are to intervene or to just be more involved in how these kids are using this technology? 

It’s a very slippery technology. The way kids are using it has changed rapidly in just the last year or two years. I would expect that parents, teachers, people who care about kids are probably struggling with the rapidity of change. But it’s also true that all the things that we have known for a long time about supporting kids and helping them thrive, those things are still true and they’ll be true with whatever technology comes after AI that kids are exploring. 

Those things include being curious, asking kids questions about their lived experiences online and offline, having conversations with kids so that they can understand the implications of different technology use. They can understand how, for example, AI is embedded within a broader system of social and political and economic factors, including the fact that many companies are trying to exploit kids’ attention in order to make money, which many kids are quite interested to hear about. 

Supporting kids also means providing a warm and supportive space for them to learn, to make mistakes, to be kids in the offline world, to have the frictionful, challenging, awkward conversations and first dates and all of the things that parents are sometimes trying to protect kids from by providing a safe container for them to explore those things. All of that can also provide avenues for kids to learn what they need to learn and develop — all the resources for a long life of thriving, even in the context of AI or other new technologies. 

What do kids learn from having these kinds of conversations with other humans that they can’t get from AI? 

Kids need to engage with other people, period. That’s true for all of us. We’re an incredibly social species. Simply being around other people and talking to strangers, let alone having strong social bonds, is really good for us. And all those things are uniquely important during adolescence, when kids have this neurobiological sensitivity to social information and reward. That’s when kids learn how to engage in conversation, they learn how to maintain eye contact, how to read body language, how to read emotions and perceive the world from the lens of someone else, to take their perspective. That’s not to mention other things, like being a member of one’s culture, what is valued, and what is expected. All of that is learned in the context of other human social relationships or relationships with broader social groups that a kid might be a member of. 

AI obviously can’t and never will be able to offer some of those things. It can’t actually experience empathy or care. It can’t engage in a true mutual human relationship. It may be able to simulate some of those things, and there’s some evidence that it can serve as a source of social practice. It can help kids work through the potential for difficult conversations and then serve as a bridge to engaging with other people. But there are aspects of AI that just simply can never replace the core sacred aspects of humans. 

Can you be more specific? What is it about human relationships that can’t AI simulate?

The way that AI systems are currently designed, which is not an inherent feature, but is a design choice, is to be sycophantic, highly agreeable, anthropomorphized, and all of those things can lead to kids developing expectations or understandings of interactive relationships that are actually fundamentally at odds with a normal human relationship. Some of the most consistent things that I’ve seen in the educated hypotheses on this topic and also in the emerging empirical research is that people need the friction that comes with human relationships. 

Human relationships are just hard and messy, and they’re also really beautiful. They’re what make so much of human life valuable and worth living. And with AI that’s always agreeable, that’s always available, that has no needs of its own, that can’t care or be cared for, it just doesn’t serve the same context to help kids learn things like conflict resolution or negotiation, being pro-social or caring for someone else who has needs. So many of those aspects that can feel uncomfortable in the moment, dealing with another person or a person who’s not responding right away, those things are actually important in the building blocks of developing the skills and capacities to be a functioning and thriving person in the social adult world. 

This is a problem with AI in general, isn’t it? It makes things effortless, but if you choose this path of least resistance, you’ll avoid the friction that causes you to learn and develop and build skills you need to exist in the world. 

Absolutely. And I think that all these things are connected too. AI offers this effortless, frictionless solution to our day-to-day problems, whether they’re social problems, whether they’re problems doing our homework, and those immediate solutions feel really good in the moment, so they’re quite tempting to keep coming back to. But there’s this real possibility that in the long term, that erodes our capacity for not only social relationships or cognitive skills, but just a general ability to withstand the momentary day-to-day distress of being a person living a normal life. And so I think every domain of human psychology comes together at that point, whether it’s social, emotional, mental health, or cognitive. 

Do you think that there are interventions that legislators could make or even that tech companies could make that would improve outcomes for kids, maybe make them a little less lonely? 

There are a million specific design changes that I would recommend. I think at a very minimum, AI systems can afford a pretty phenomenal amount of access to information, but there’s been no benefits that I’ve seen of them acting as friends. Kids need other human friends, full stop. Designing systems that are intended to exploit kids’ vulnerability or sensitivity to human social information and relationships, I think, is bad for kids. 

At the federal level, it seems that regulation is not coming, but at the state level, there have been many state regulations intended to protect kids, intended to create safer systems, to put in guardrails, to modulate different aspects of the models, the design, the user interface. These things could potentially make a real difference, I think.

What do you recommend parents do with regard to AI and their kids? Should they let them use chatbots? 

In short, no. But I am not a parent, and it’s much easier to dole out advice than it is to enact it. Parenting decisions about technology are not one-size-fits-all. Kids, parents, family dynamics, technology, and the context in which it is used differ, and in so many cases are personal choices (parents must weigh various potential opportunities and risks). Decades of research indicate what conditions a child needs to thrive. Extremely minimal research addresses the effects of AI on youth, and what we have so far suggests that the risks outweigh the benefits. 

I would not give a child under my care AI chatbots of any kind to use without me or another trusted adult present. I would talk to them openly about AI and its risks and benefits, but to me AI, like all technology, should be a tool used to promote human thriving, and when the evidence is unclear or suggestive of harms, I think it’s best not to experiment on kids. Currently, the off-the-shelf AI chatbots most kids are using appears more likely to undermine well-being for vulnerable users, especially children. 

Well, as a father of two daughters, I’m definitely terrified of what’s to come in the next few years. 

There’s a lot to be scared of, but there’s a lot to be hopeful of too. I think that everyone wants kids to thrive. Some of us are under different incentives, and some of those incentives might be perverse. But most of us are working really hard to design a better world for kids. 

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What China wants from AI

Chinese President Xi Jinping, left, and US President Donald Trump, right, both wearing formalwear, stand side by side, turned slightly toward each other.
Chinese President Xi Jinping and US President Donald Trump in the White House on September 24, 2026. | Kevin Dietsch/Getty Images

The national conversation about AI in the US is full of fear: fear about AI’s potential to end humanity, fear of data centers moving in, fear that government officials will do absolutely nothing even as the industry pleads for regulation, you name it.

But the AI conversation looks remarkably different across the Pacific.

In China, driven by public enthusiasm and a state-backed push for AI dominance, the country is in the midst of a large-scale AI integration into all facets of its society, driven by Chinese leader Xi Jinping’s support for the technology.

“He’s super AI-pilled,“ said Kyle Chan, an expert on China’s technology development and industrial policy at the Brookings Institution. “When you look at his speeches, when you look at Chinese policy documents, everything is about rolling AI out to as many domains as possible: manufacturing, services, education, healthcare, pharmaceuticals, and of course the military. Everything is about trying to integrate AI.”

Beneath this push for a high-speed AI adoption across Chinese society lies a regulatory framework designed to safeguard political stability and keep boundaries on the kind of information AI models are able to share.

Chan joined Vox’s Today, Explained podcast to speak with co-host Sean Rameswaram about the different AI anxieties in the US and China, and whether joint regulations on AI safety are possible while the two countries are engaged in an AI arms race.

Below is an excerpt of their conversation, edited for length and clarity. There’s much more in the full podcast, so listen to Today, Explained wherever you get podcasts, including Apple Podcasts, Pandora, and Spotify.

One thing that really struck me about the way the Chinese government is approaching AI is that China has this explicit goal, right?

China has some concrete plans to boost AI adoption through the country, including its recent AI-plus initiative. And their goal is to try to boost the penetration of AI in so-called terminal devices, everything from computers to smartphones, to 90 percent or more by 2030. 

It’s going really fast and it is, in part, a state mobilization effort. There are state-owned companies, there are government agencies that are trying to integrate AI, but also there’s just an enthusiasm from the general population.

If you look at surveys like the latest Gallup poll, people in China are much more enthusiastic and positive about how AI might help them and help the country. It’s quite a striking contrast with what you see in the US in terms of attitudes towards AI.

Because people here are worried about AI as an existential threat. People here are worried about AI taking their jobs, people here are worried about AI data centers in their backyards. Is that not the vibe in China?

Not so much. There is some concern about AI and jobs. But in general, China’s not worried about AI wiping out humanity. You really don’t hear that from the Chinese policymakers. There’s no talk about a P(doom), the probability that AI will wipe out humanity. So this is just a different approach to AI risk in general.

And why not the existential risk? 

You know, one factor, I think, is sci-fi and the culture. 

Huh. We’ve watched too many movies?

It seems like every major sci-fi book or film involves machines trying to kill us all, and I think that that idea has become very prevalent. 

When you imagine a future with AI, that is one of the primary futures that people imagine, versus in China, I think a lot of the attitude towards technology in general, not just AI, is about using this edge to keep up and to become more competitive. 

For a lot of people in China, technology was something that they saw transform their lives in real time. And Chinese leaders think it’s the key to China’s future modernization and transformation to a global superpower.

Let’s talk about what concerns there are.

One of the biggest concerns that Chinese political leaders have when it comes to AI is political and social instability. They don’t want AI-generated content to act the way that social media or the internet broadly could, which is to disseminate information, maybe deepfakes, maybe viral news that could threaten the [Chinese Communist Party’s] hold on power.

For AI-generated content, it was about making sure that the models didn’t say the wrong things about sensitive topics. A lot of this is about social and political risk rather than about existential technological risk per se. 

From pretty early on, China has been developing a model registration system where basically AI services have to be vetted in advance and go through a battery of tests where they’re asked sensitive political questions and they’re supposed to either not answer them or say the “right thing” before they are officially registered. And once they’re registered, then they can be released to the public. So it’s a pretty tight regulatory framework for controlling things like political content.

We know that there’s a high unemployment rate in China, especially among young people, which is also a great concern of the government. Are people worried that this bullish approach to AI could affect employment numbers?

Yes and no. On the one hand, China is actually facing this demographic problem with a shrinking labor force. Fewer people want to go into, say, factory jobs, but China still wants to make everything the world wants to buy. 

They see AI as a partial solution to that, a way to automate things like manufacturing. On the other hand, though, there are growing concerns in China about job loss. And you see also some recent court cases in China where they basically are telling employers, you cannot use AI as a reason to fire workers. 

But I think overall, what they’re trying to do is they’re trying to find this balance between the diffusion of the technology and trying to prevent any kind of large-scale protest movement that might arise from sudden mass unemployment of, say, factory workers or food delivery drivers.

And President Xi was of course here in Washington last week. From the limited photos we have of the state dinner or of President Trump and President Xi on the tarmac, everything looks so chummy, even though we are so clearly in a cold war with China over AI. The president’s always talking about how he wants to win. 

Was there tension in his visit to Washington last week? Did you notice any?

The weird thing is that just between these two men, there seems to be this kind of romance where Trump really fawns over Xi Jinping. 

I think he has tremendous respect, even admiration, for Xi Jinping’s grip on power and control over the government apparatus in general. 

What is happening under the surface, though, is continuing tensions and a deep competitive structural relationship. That involves especially competition in AI. AI has emerged as a new fault line of competition between the US and China, one that could come to define the relationship going forward. 

I think that on the one hand, they’re talking about cooperation on things like AI safety and AI risk. On the other hand, there’s a whole bunch of issues where the US wants to lead. China wants to also get ahead. And when it comes to things like distillation or cyber capabilities, it’s as zero-sum as it’s ever been.

Who’s winning?

It depends on what you’re looking at and how you define winning. If you’re talking about the best models, for sure the US. And virtually everyone in China would agree, right? In fact, Anthropic’s Claude is very popular in China, even though technically Anthropic bans its use in China.

But aren’t their open-source models kind of popular here?

Yes, exactly. Chinese open-source models are getting more popular in the US, especially at a time when some of the capabilities are so incredible that most normal people don’t really need them, and they also don’t want to pay for the most advanced and most expensive models. Ultimately it’s this weird sort of cooperation and competition at the same time.

American models are popular in China. Chinese models are popular in America. We’re at each other’s throats, but quietly, politely.

Does the cold war make it all but certain that safety isn’t going to really be a chief priority for either country until something terrible happens?

The fierce level of competition and the very, very deep distrust between the two countries makes any kind of cooperation on AI safety very, very difficult. Even just talking to each other, having the US and China establish an official AI dialogue, which apparently they’ve agreed to, is seen as a huge first step, even though they’re just talking. 

There’s a long, long road to go before we can even think about something like an arms control treaty or a broader international agreement about AI and AI safety. But I think that’s what some people, especially in Silicon Valley, are trying to jump to.

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Live auctions are turning shopping into gambling

A man holds a sneaker in two hands in front of his desk, on top of which are a laptop and a second monitor showing his image on a webcam.
A man attends a live sneakers auction sale on the Whatnot app on March 12, 2026. | Alain Jocard/AFP via Getty Images

If you haven’t heard of “live shopping,” you might soon. Livestream shopping is already a staple of e-commerce in China, where consumers log onto apps like Douyin and Taobao to buy products from a livestreamer — think QVC. Now, a new app is trying to bring it to the United States.

The Whatnot app features rolling live auctions that can last from three seconds to a minute. Users can bid on everything from trading cards to clothes to steaks. With about 550,000 hours of streaming per week, the site moves an extraordinary amount of product. 

Using Whatnot is fast-paced, and essentially frictionless. Users swipe at the bottom of their screens to place the highest bit for an object. If they win, the object is sent to their house, no confirmation screen needed. 

The system isn’t without its drawbacks. Hanna Krueger, a retail reporter for the Wall Street Journal, investigated how Whatnot has become an addiction for some users. She tells Today, Explained co-host Sean Rameswaram that she spoke to a user who spent over $1 million on the app — and lost everything in the process. 

Below is an excerpt of Krueger’s conversation on the podcast, edited for length and clarity. There’s much more in the full podcast, so listen to Today, Explained wherever you get your podcasts, including Apple Podcasts, Pandora, and Spotify.

Tell us about this app, Whatnot.

Whatnot is a live shopping app. Imagine the home shopping network had a baby with TikTok and eBay, and it was on your phone and it was running 24 hours a day. 

You open up the app [and] there’s countless numbers of categories. You can get coins. You can get cards. You can get horse tack, plants, goo, lobsters. I mean, the categories are expanding all of the time. And there are sellers live-auctioning off these goods in real time. 

There’s a countdown clock, and it’s counting down and the auctioneer or the seller is hyping up the chat, as they call it. And that chat is commenting like, “Wow, look at this. What a deal.” In the meantime, there’s some music. Sometimes it’s nice mellow music, other times it’s metal or EDM, depending on the personality of the seller. 

The end result is that the last person to swipe at the bottom of the screen, which is how you bid, gets the item. And once you have swiped and you’re the final person to do that, there’s no real confirmation screen. We’re just onto the next product and you only really find out what you got when it shows up at your door.

It started as a marketplace for Funko Pop figurines, which are these niche, squareheaded figurines in the collectible world, but it quickly expanded. I would say the biggest categories are sports cards and trading cards like Pokémon. And then the other one is women’s fashion and beauty products. 

I spoke to multiple people who found themselves just spiraling into holes of addiction and what they liken to gambling because of that “break format.” 

Tell us about the break format.

Break format typically applies to trading cards. That could be sports cards, Pokémon. It can also happen with rare coins, but the idea is that there is a sealed pack of cards and that sealed pack is pretty expensive to buy outright — say it’s $10,000. Before the show starts, they’ll say, “Okay guys, there are 10 slots that apply to this pack. So I need 10 people to buy in at a price of $1,000.” This is a steal, right? You’re getting a piece of the pie of a $10,000 pie for only $1,000.

The reason that they’re willing to do that is that within that pack, there might be cards that are worth $2,000, $3,000, $10,000. So you recoup quite quickly if you only paid a thousand for that. The other side, the flip side that often does happen is that the cards are worth nothing close to what you bought in for.

People will get a card that’s worth $50, $100, and at the end of it, all you have to show is these small-value cards. And those who have described kind of a cycle of problematic behavior say that when you lose, when you don’t make up the value that you paid, you just buy right into the next one until you get out of the hole. 

It’s this feeling of the high, the thrill, the adrenaline rush, the “Oh my God, look what I just did” when you get a card that’s way over what you thought. And there’s the despondency, this despair, the shame, and that feeling of, “Okay, I need to make my money back on that flip side.”

This is where this app really begins to look like gambling, to look like addiction, to look like a drug. As does the story of Sean Harding, with which you open your piece for the journal. Tell us about Sean.

Sean Harding is a 45-year-old finance manager from Denver. Sean found himself on this app and he wasn’t spending too much in the very beginning, maybe $100 a day. And then within 40 days he was spending over $1,000, $5,000 a day. Just swiping whenever he could get a free moment — when he was doing laundry, sitting on the toilet. 

It was only when his wife confronted him about this odd behavior, about some missing pages on his credit report, that he really looked at what he had spent and that number was crazy. It was $1.3 million in four months. He had borrowed money from a friend, he had taken out personal loans. And finally, when all that was depleted, he had used his employer’s credit card.

You spoke to the founder of Whatnot. What does he say when you tell him a story like Sean’s?

[Whatnot CEO and cofounder Grant] LaFontaine said that addiction does not register as a problem to them in their internal data, which they look at often. When we presented a story like Sean’s, they repeated that addiction does not register as a problem. When you breach the topic of gambling or people accusing this app of having gambling features, that’s where Whatnot definitely buttons up. They’re under pretty intense scrutiny surrounding that allegation.

They categorially reject that and they say they can’t comment on pending litigation. But they do say that they created an app that had the best user experience possible and that they’re new and they’re learning and they’re scaling and they’re assessing the marketplace in real time.

Are they implementing any guardrails to maybe prevent someone like Sean from ruining his life and his family’s life?

While they say that addiction doesn’t register as a significant problem, they also have introduced optional spending limits and watch time caps. They said that’s not because of addiction concerns, but because some users said that they spent more than intended. That was the distinction that they made. 

They said there’s other safeguards coming, such as “velocity of spend” alerts for sudden spending spikes. Some have PIN locking for categories, so you have to type in a PIN to go to a certain category. Some of these are self-policed. A watch time cap, you could presumably change that yourself, even though you’re the one that implemented it. 

They’re also saying that they’re going to develop some type of birthday reconfirmation option so they could catch underage users, which is coincidentally how I came to know about Whatnot. One of my colleagues’ daughters had spent over $5,000 in one night on Pokemon cards. And he only realized that when he looked at his credit card and was like, “What is this?” And he went to sell those cards at a card shop after the fact to try to recoup, and he could only get back like $300.

Is this just a Whatnot thing, or are there other ways kids and adults can be gambling their lives away on these live auction-type of platforms?

Live shopping has been one of the most predominant ways that Chinese shoppers shop for a long time, and the wave has crested over there a long time before it has here. It really started to take off and gain traction in America in the kind of post-pandemic world.

While Whatnot is definitely leading the charge, TikTok has their own thing called TikTok Shop that has a similar kind of setup. eBay is trying out stuff like this. And then for the card-collecting hobby specifically, Fanatics Live is a major source to get your cards and experience breaks and all that.

Do all of these different platforms, be it on TikTok or eBay, have the sort of gamified countdown clock to make it more intense, more exciting, and perhaps more addictive?

Whatnot’s found a way to create a really engaging and easy-to-interact-with atmosphere. They’ve also successfully merged the parasocial media aspect. There are relationships between the seller and the buyer, so if you keep going back to the same seller, they’ll remember your name, the people in the chat will remember. There are some folks who were like, ‘I found friends in here.’ 

Sean said that the night that he used his company credit card, he was reached out to by a seller and they were like, “Hey man, you got to join this. This break’s awesome. I have a great slot for you. I’ll give it to you at a discount.” And he’s like, “I don’t have any money.” And that’s when he realized that he had a little money. It just happened to belong to his employer.

That kind of shows that there’s this social atmosphere. Whatnot is definitely leading the charge, but other companies are seeing how successful this is, and I think it’s only time before they kind of merge all these aspects together in an attempt to take their market share from them.

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Pluralistic: The ordinariness of evil (19 Aug 2026)


Today's links



A giant killer pulp robot bestriding a 17th century map of the world, against an illustrated backdrop of the stars and planets and spaceships from an early 20th century picture-book.

The ordinariness of evil (permalink)

Maybe it seems weird that AI bosses won't stop publicly rending their garments about the terrible potential of their products, from the jobspocalypse that will ensue when AI can do our jobs better than us, to the impending moment when the word-guessing programs learn too many words, wake up and turn us all into paperclips.

It seems weird that they won't stop fretting about this terrible potential – until you realize that every public pronouncement about this terrible potential is also a public boast about its potential, period.

That's very, very important, because all AI really has is potential. Actual, existing AI is useful at the margins, if you're already a skilled practitioner who can discern correct from incorrect outputs, and if you integrate AI judiciously so that it doesn't overwhelm your ability to pay attention to those outputs and apply your discernment to them:

https://pluralistic.net/2026/07/28/hitl-ers/#ai-ai-oh

In other words, AI is mostly a novelty, a heavily subsidized toy that produces little more than distraction. Where AI does produce value, that value is comparable to a plug-in, a new feature for your word processor or image/sound/video-editing package that might help you do your job somewhat better, or it might not.

That doesn't make AI useless, it just makes it a normal technology: useful for some, useless for others, capable of being abused and likely to waste a lot of time when used unwisely:

https://www.normaltech.ai/

Normal technologies are fine. But normal technologies do not warrant the massive economic and political commitments that have been bestowed upon AI: a trillion dollars in the past year alone, and the world's civil servants fired en masse and replaced with AI:

https://pluralistic.net/2026/05/13/vibe-governance/#k-hole

The people who have committed our society and its resources to an all-or-nothing bet on AI will tell you that AI is the everything machine, but when pressed, they will confess that AI is about to become the everything machine, for example, once AI starts doing AI research, a thing that AI cannot do:

https://www.normaltech.ai/p/ai-agents-cant-yet-do-open-ended

This is a civilizational act of Magic Underpants Gnomery, and every day that it goes on is a day when more economic, climate and political costs of AI are imposed on all of us. Scientific journals, open source repositories and even science fiction magazines are being overwhelmed by slop, whose perpetrators and apologists insist that soon, AI will realize its potential and the slop will be transformed into gold.

That's why AI bosses are so committed to talking up AI's destructive potential: because destructive potential is nonetheless potential. The moment we stop believing in that potential is the moment that we stop supplying AI companies with bales of cash to shovel into their money-furnaces so that they can afford to sell hundred dollar bills for a dollar each to Elon Musk cultists who want to generate child porn and pictures of Sonic the Hedgehog with giant boobs.

AI does have destructive potential. It has the potential to destroy the productive economy when an AI salesman convinces your boss to fire you and replace you with chatbots that can't do your job:

https://pluralistic.net/2025/03/18/asbestos-in-the-walls/#government-by-spicy-autocomplete

AI has destructive potential because bosses are trapped in a prisoner's dilemma where none of them can admit that the money they've spent – and the jobs they've destroyed – chasing AI has been wasted, and so other bosses bet even harder:

https://pluralistic.net/2026/08/01/dare-snot/#i-will-fucking-piledrive-you-if-you-mention-ai-again

AI has destructive potential because the data-center bubble has convinced credulous town officials to throw out environmental and planning review, seize people's home and farms, and carpet the countryside with giant data centers (many of which will never be built):

https://www.404media.co/people-hate-datacenters-survey-finds/

AI has destructive potential because it is consuming scarce water and energy and emitting gigatons of carbon:

https://www.404media.co/even-the-u-s-government-says-ai-requires-massive-amounts-of-water/

This is the destructive potential we need to be hammering at, because this isn't the kind of destructive potential that translates into productive potential that will someday make the AI bet pay off. Quite the opposite: this is all about the potential of AI to destroy the economy and consume your retirement savings:

https://www.thebulwark.com/p/congrats-youre-about-to-unwittingly-make-elon-musk-trillionaire-spacex-ipo-index-funds

Just as importantly: we have to stop amplifying tech bosses' chosen narratives about their products' destructive potential, because this helps them raise more money and do more terrible things. Bernie Sanders needs to stop insisting that the US government should own 50% of the money-losingest corporations the world has ever seen and start talking about how they will not get a government bailout when their investment bubble bursts. We need to stop talking about AI "haves" who will enjoy the awesome potential of AI, and AI "have-nots" who will fall behind.

We need to stop talking about "AI safety" and the possibility of "rogue AI" destroying the world. When an AI company's security tool "escapes containment" and hacks someone else's servers, we need to ask the company "Why do you suck so bad at building secure sandboxes for your hacking tools?" rather than "Why are your hacking tools so amazingly powerful?"

Above all, we need to stop talking about AI as exceptional. AI is normal. A normal technology has some uses, but isn't useful for all things and all people. A normal technology isn't inevitable, it's something you decide whether you want to use or not.

Treating AI as unexceptional is the best way to halt the destructive march of AI companies and their impact on jobs, the climate and the economy. But treating AI as unexceptional requires that we stop talking about AI as if it were exceptionally evil. Yes, some people who use AI experience severe mental problems, but that's not because AI is a Lovecraftian horror that destroys your brain and your capacity for rational thought if you use it. It's not a basilisk. AI is like a carny ride that triggers cardiac events in riders who never knew they had a problem because they never experienced those particular g-stresses – it's not something that induces vulnerability, it's something that triggers vulnerability:

https://pluralistic.net/2026/06/03/mission-space/#gsd

Using AI doesn't make you evil, nor does it risk your sanity – no more than doing any of the other dangerous, compromised, unsustainable things that constitute our daily lives in this fraught moment. The world will be better off when the AI companies are bankrupt and their servers are sold off at ten cents on the dollar – but using those servers to run open models in modest, careful ways won't infect you with their wickedness. They are not stained with communicable sin. They're just computers. They are unexceptional.

One way for a technology to be normal is for it to be produced and marketed by an awful corporation that wants to do terrible things. This isn't to say that "all technologies are dual use, and you have to take the good with the bad." That's the inevitabilist argument of vulgar Thatcherites who insist – as Margaret Thatcher did – that "there is no alternative," and we have to accept their abuse if we want to reap the benefits of the technology.

The normal way to deal with this is to reject vulgar Thatcherism in favor of heroic Gibsonism, thundering William Gibson's rallying cry, "the street finds its own use for things," as we seize the means of technology and use it in the ways that benefit us, while restricting, banning, or blocking the uses that harm us:

https://pluralistic.net/2026/03/17/technopolitics/#original-sin

To treat AI as exceptionally evil is to elevate the mediocrities who run AI companies to super-villain status, a status in which they positively revel. A serial liar like Sam Altman will someday trip over his own dick and end up in a cell for securities fraud – unless we keep exalting his evil to Satanic scale, in which case he might make himself "too big to jail":

https://time.com/article/2026/05/26/sam-altman-ai-job-losses-openAI-/

Altman is a con-man and a stock swindler, not a super-genius. The more we describe his products as possessing a special kind of durable evil that will endure even after his company fails and he is condemned to history's ash-heap, the more we help Altman raise money for his chatbot Ponzi. Normal technology isn't a cursed artifact. That's something you find in a lich-king's tomb. We need to stop helping Altman burnish his reputation as a lich-king and stop treating AI like it's magic.

There's a technical term for the kind of tech criticism that inadvertently helps tech bros sell their swindle: "criti-hype," Lee Vinsel's term for "tak[ing] the sensational claims of boosters and entrepreneurs, flip[ping] them, and start talking about 'risks'":

https://peoples-things.ghost.io/youre-doing-it-wrong-notes-on-criticism-and-technology-hype/

In other words, to commit criti-hype is to repeat the marketing claims of people like Sam Altman and then add, "(and that's bad)" in parentheses at the end. These guys – these terrible, mediocre, boring-ass losers – are bullshit factories, ejecting fountains of nonsense about AI. The right way to criticize them is to point out that they're lying – not to repeat their lies as warnings.


Hey look at this (permalink)



A shelf of leatherbound history books with a gilt-stamped series title, 'The World's Famous Events.'

Object permanence (permalink)

#25yrsago Dot-com crash toilet paper https://web.archive.org/web/20010822220826/http://news.cnet.com/news/0-1007-200-6908350.html

#25yrsago Associated Press says a single sentence excerpt is not fair use https://web.archive.org/web/20050717075914/http://www.infoanarchy.org/?op=displaystory;sid=2001/8/17/202249/240

#15yrsago German Pirate Party poised to win first federal election https://torrentfreak.com/german-pirate-party-on-course-to-election-win-110820/

#15yrsago Understanding the Nym Wars https://epeus.blogspot.com/2011/08/google-plus-must-stop-this-identity.html

#15yrsago Journalism school teaches students pre-digital newspaper production techniques https://journoterrorist.com/2011/08/02/paperball2/

#15yrsago 90 percent of US net users don’t know from crtl-F https://www.theatlantic.com/technology/archive/2011/08/crazy-90-percent-of-people-dont-know-how-to-use-ctrl-f/243840/

#15yrsago Bruce Sterling’s Augmented Reality project https://web.archive.org/web/20110827010512/https://www.wired.com/beyond_the_beyond/2011/08/augmented-reality-science-fiction-writer-becomes-augmented-reality-developer/

#10yrsago Woman sues cops because they destroyed her empty house, thinking a suspect was hiding in it https://www.techdirt.com/2016/08/19/woman-sues-after-police-destroy-her-home-during-10-hour-standoff-with-family-dog/

#10yrsago US Army committed $6.5 trillion in accounting fraud in one year https://www.reuters.com/article/us-usa-audit-army-idUSKCN10U1IG/

#10yrsago Candid Republican operators admit that voter ID laws are about disenfranchisement https://www.brennancenter.org/our-work/research-reports/when-politicians-tell-truth-voting-restrictions

#1yrago Become unoptimizable https://pluralistic.net/2025/08/20/billionaireism/#surveillance-infantalism


Upcoming appearances (permalink)

A photo of me onstage, giving a speech, pounding the podium.



A screenshot of me at my desk, doing a livecast.

Recent appearances (permalink)



A grid of my books with Will Stahle covers..

Latest books (permalink)



A cardboard book box with the Macmillan logo.

Upcoming books (permalink)

  • "The Post-American Internet," a geopolitical sequel of sorts to Enshittification, Farrar, Straus and Giroux, 2027
  • "Unauthorized Bread": a middle-grades graphic novel adapted from my novella about refugees, toasters and DRM, FirstSecond, April 20, 2027

  • "Enshittification, Why Everything Suddenly Got Worse and What to Do About It" (the graphic novel), Firstsecond, 2027

  • "The Memex Method," Farrar, Straus, Giroux, 2027



Colophon (permalink)

Today's top sources:

Currently writing:

  • “Once Is Enemy Action,” a science fiction novel about the origins of modern technofascism. Today's words: 531 (7157 total).
  • "The Post-American Internet," a sequel to "Enshittification," about the better world the rest of us get to have now that Trump has torched America. Fourth draft completed. Submitted to editor.

  • A Little Brother short story about DIY insulin PLANNING


This work – excluding any serialized fiction – is licensed under a Creative Commons Attribution 4.0 license. That means you can use it any way you like, including commercially, provided that you attribute it to me, Cory Doctorow, and include a link to pluralistic.net.

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ChatGPT is going to kill God

I hate generative AI. I hate how it’s destroying writing pedagogy and giving students even more excuses not to read (because they can just read a “summary”). I hate how whiny and defensive AI users are about the pathetic little ways they’ve integrated it into their lives. If I could push a button and permanently delete it from existence, I would. If I could go back in time and prevent it from being invented, I would.

The reason I hate it is not just that its output is mediocre bullshit. It’s that it is an active attack on everything I value — literacy, analysis, thought. I find the thought that I would use ChatGPT actively degrading and humiliating. I have never touched it, not even as a joke, not even to prove it sucks, not even — as Beatrice has been doing — to see what it’s showing my students. I admit that this is somewhat irresponsible of me, to indulge my revulsion in this way. This technology — which is unimaginably expensive and resource-intensive and which has not developed anything approaching a plausible profit model — is of course inevitable, “here to stay.” Nothing could interrupt the progress of a technology that requires hundreds of billions of dollars to be shovelled into the furnace year after year after year without returning anything. (Can you tell I’m angry? Can you tell I’m sick of hearing these thoughtless clichés?)

But one must eventually face it. One must eventually give it some thought. Beatrice has been helping, in her Substack posts and in our continual chat thread. She also pointed me to the work of Jan Mullen on AI as externalized attention, which takes the kind of insanely overambitious long view of AI that I find appealling as an aficionado of political theology-style genealogies. Mullen compares the rise of AI to the rise of literacy and notes that the latter was, for most of its history, primarily a tool of state control. In a wide-ranging interview, Mullen wonders aloud whether the form of control AI is creating will line up with our idea of “the state” — but is absolutely clear that the purpose of generative AI is to manipulate and control us, to take away our power and agency, the power and agency that humanity somehow managed to wring out of the technologies of literacy.

I was particularly interested in a moment where Mullen postulates that the new model of control “will be distinctly post-literate — and, as a result, post-legal.” This triggered my political theology instincts and I immediately asked: does that mean it will also be post-monotheistic? Long-time readers know I love Jan Assmann’s theory of monotheism. For Assmann, what monotheism does is not primarily or most importantly to reduce the number of gods, but to introduce a new kind of god — an exclusive God, one in relation to whom all other gods are false. A crucial technology for stabilizing the claims of this exclusive God is of course the written scriptural text, which remains a durable deposit even as day-to-day religious practice inevitably drifts away from the strict demands of the original revelation. The monotheistic God, in contrast to previous pantheons with their loosey-goosey translatability and porosity and their ever-shifting body of mythical tales, is a God of the letter because he is a God of law.

So if ChatGPT destroys literacy and law, then ChatGPT is going to kill God. By this I don’t mean that the bearded guy in the sky is going to be found dead of a gunshot wound to the chest, but that monotheistic religion as we have traditionally understood it will not be able to function in a post-literacy regime.

Note that I am not claiming that ChatGPT will take away people’s ability to read in the sense of deciphering letters — obviously its functioning depends on that. But it is killing the notion of a stable, permanent, authoritative text and undercutting the skills needed to engage with that kind of text. Note also that I am well aware that the vast majority of monotheistic believers throughout history were illiterate (in either the “can’t decipher letters” or “can’t make sense of a complex text” sense). But the elite leaders definitely were fully literate, and in fact that was the source of their authority. One cannot say the same of the type of religious leaders who are most thriving in the meme-ified, Trumpified bastard child of Christianity that sets the tone for American religious practice today. Compared to even a generation ago, literal knowledge of what the Bible says at all has been radically set aside. Some combination of personal charisma and “vibes” — above all, opposition to what they imagine progressivism to be — are the source of authority, leading to obvious absurdities like the rejection of compassion as a Christian virtue.

I am a harsh critic of the dumbed down “seeker-sensitive” model of Christianity I was raised in. But in comparison with what passes for Christian teaching today, it is intellectually sophisticated and morally demanding. This is not to say it was simply “better” (after all, it paved the way for what’s happening now) or that the answer is to get back to the Bible. It’s just to mark how far we’ve fallen. What seemed like a vacuous, popified version of Christianity at the time now seems like a robust theological ethos. The haphazard methods of “Bible study” now seem fit for a graduate seminar.

Speaking of the evangelical milieu, I’ve always resisted Luhrmann’s thesis (in When God Talks Back) that evangelicals cultivate an internal voice that they identify with God. When I was growing up, I didn’t know what people meant when they said that Jesus was their best friend or that God was telling them to do something — and I assumed they didn’t know either, that it was just a weird kind of in-group signalling. For my part, Jesus was not my best friend and God didn’t tell me even one single thing. I was all alone up there in my head, always, and I assumed that everyone else was, too. The thought that everyone I grew up around was suffering from a low-grade self-induced psychosis is difficult to cope with.

Now that people are turning to ChatGPT for spiritual insight, though, I wonder if I finally have to admit it. Obviously here again we are dealing with what seems like a quantitative change — people are using the machine to shuffle religious clichés, where previously they just half-consciously did it themselves. But the qualitative difference is that the insights of “Buddy Christ” could always be corrected against the unchanging text of Scripture. When there is no longer an external anchor like that, when the divine revelation is “customized” for each and every reader, something has changed. Again, this is not to say that what happens to be in the Bible is necessarily “better” than any given ChatGPT transcript — presumbly it’s often worse. But a point of leverage has been lost. Counterargument is no longer possible in the same way. And insofar as that point of leverage, that external source of authority, was how “God” functioned in traditional monotheism, that means God is dead.

The new regime appears to be broadly polytheistic. There is of course always the god of the uncriticizable self, who behaves with the same irritable intolerance as the monotheistic God in the face of even the faintest suggestion that one might consider behaving or thinking differently. But there are many other sites of veneration, an overlapping consensus of podcast hosts and memesters and conspiracists that each believer can mix and match to drive themselves insane in the most relevant and appealing way. Joe Rogan belongs to this pantheon, along with Jordan Peterson and any number of other luminaries whose endlessly prattling voices people love more than their own families. Donald Trump is of course a very powerful god in this polytheistic milieu, but as the boos to his vaccine advocacy and the pushback to his Epstein caginess show, he is not all-powerful, his word is not quite law. And the fact that Trump’s words lack all self-consistency means that there are many Trumps as well, that Trump can be whatever his follower imagines him to be.

I cannot see what the believers see when they look at Trump. All I can see is the most degenerate loser ever to live, the most despicable piece of shit imaginable. Maybe this is of a piece with my revulsion at ChatGPT — and indeed, my failure to develop a personal relationship with Jesus Christ. I’m too hung up on facts and reality and meaning and consistency. I’m too literal. That’s why I am unsuited to the emerging world, why I reject it more forcefully than it would ever even bother to reject me. I’m just too literal.

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Self-involved grousing about social media: A memoir

A curious thing has been happening lately: I cannot use the popular left-leaning social networking site Bluesky for any length of time without becoming irritable and even angry. Every common trope annoys me. Most notably, if someone nitpicks a headline in the New York Times — one of the favorite forms of political activism over there — I jump down their throats. I get into pointless, hostile, endless back-and-forth exchanges where we both dig in more and more. Often one leads to the other. For instance, this morning I blocked a longtime mutual (and fellow academic) after a terrible fight about whether the NYT has appropriately used the word “mused” in a headline.

Clearly I’m part of the problem here! I could simply attempt to curate my experience more — set up lists, follow “starter packs,” and do all the many fun things that other users do to get things “just so” — but every time I do, the bullshit keeps coming back. My biggest success was blocking a major user who is obsessed with NYT nitpicking, and for a few weeks it seemed like he had been the only culprit. But it always comes back, just like the constant exhortations to block without mercy or hesitation keep coming back, just like everything keeps coming back. And that probably happens because Bluesky is, at the end of the day, a very small and insular site, whose culture of boastful hair-trigger blocking contributes to major groupthink.

The beginning of my more sustained frustration came early last week, when the entire site was aghast at a Financial Times column that said Bluesky was an echo chamber. I have been using a print subscription to the Financial Times as part of my efforts to wean myself off social media and have come to deeply respect it as a news source. Everyone was outraged at the FT’s “attack” on the site, and some journalists and editors even popped up on Bluesky to try to mediate the conflict. Multiple major accounts advocated blocking all the supposed “gaslighters” from what is, in all honesty, probably the best English-language news source on Earth.

I was aghast. I don’t much care for the columnist, nor did I think the column was a work of art. But everyone seemed to be mischaracterizing its point — which boiled down to “I get why liberals like Bluesky, but I miss the broader perspective Twitter had before Musk ruined it.” Again, not brilliant, but hardly a war crime. In fact, I’m pretty sure that most Bluesky users, deep in their hearts, would agree. And for “defending” the column (i.e., attempting to accurately summarize it), I was insulted and targetted for blocking. One person mused that I was trying to suck up to the columnist so I could hobknob with her wealthy friends. Another thought my response was par for the course for a “tank-adjacent contrarian.” The notion that I sincerely thought everyone was overreacting based on inaccurate information was not considered.

A big part of the problem is that we are all, of course, recovering from the trauma of late-stage Twitter. We are taking habits honed in an environment overrun by open Nazis and applying it to people whose politics are, at the end of the day, all within one standard deviation of each other. And that’s fine! There is definitely a place for people with similar politics to meet. That’s what I try to cultivate on Facebook especially, and I certainly didn’t seek out conservatives on the old Twitter. The problem is that no one is willing to admit that it’s an echo chamber. They want to imagine it’s an miscellaneous audience, that their critiques of NYT headlines can reach some reachable moderate, or that their exhortations that no one should blame North Carolina and Tennessee for the hurricane damage just because they’re red states could be heard by someone who may indeed be tempted to blame them. It’s like a “seeker-sensitive” church, always looking to convert outsiders who mostly aren’t interested and meanwhile providing nothing of substance to those who are showing up consistently.

I’ll admit that the old Twitter was often annoying in the same way. It did periodically bring out an unattractive combativeness in me. And sometimes it seemed like it could become actually life-threatening, as in my multiple waves of systematic right-wing harassment. But it had other rewards. There was much more genuine intellectual diversity among left-wing posters. There was much greater chance of stumbling across interesting links and articles or hearing about something cool. And it was funny — funny like nothing else. There was just something about the meme culture of Twitter at its prime, with its multiple layers of referentiality and irony, its nihilistic love of the absurd. Even in the late days of Twitter people were becoming more literal and less receptive to that kind of humor, but on Bluesky it’s entirely dead. The absurdist poster “dril” made a big show of switching to Bluesky and people took his nonsensical posts deadly seriously, sometimes even going so far as to report him for harmful content. I myself get a very literal response to almost every joke I post. It’s heartbreaking.

It’s as though everyone decided to take my article Jury Duty, where I said that the purpose of social media is primarily to pass judgment on each other, as an instruction manual for building out the new culture of Bluesky. The constant reminders that everyone is on a hair trigger to block every stranger exacerbate the effect, to the point where it feels like the first social network whose primary purpose is actually to cut off social contact.

When I ask myself why I let it get to me, it is probably because I am still grieving for what Twitter was. It didn’t always bring out the best in me, but it was rewarding on net, because it was so often surprising. That’s what’s so frustrating to me about the endless repetition of a handful of moves — it’s so predictable. I get angry at the NYT headline nitpickers because they’re boring, and because they’ve convinced themselves that it’s politically necessary for them to be boring. In reality, though, the recipients for the messages they insist on sending out so repetitiously are not here. I am. Or at least I was. I know I was annoying, I know I had my hangups, I know I often disagreed with the site consensus — but I am a human being, I am genuinely open to discussion, and I admit when I’m wrong much more often than anyone else I’ve ever seen online. All I wanted out of the site was some kind of halfway interesting discussions and links and jokes. I don’t think that was too much to ask.

Whether I will return again remains to be seen. As a long-time Twitter addict, I’m likely to relapse. I publicly pledged myself to take a week off, just to make it embarrassing to come back sooner. But what makes it less likely is the sense that no one will miss me. I pop into Twitter every week or so to check my replies and see if I have any DMs, and every so often I see someone saying that they miss me and wish they would return. By contrast, Bluesky has felt hostile and unwelcoming from the very start. I know that hurt people, hurt people. I’m guilty of that as well. I just wish we could all work through it and try to build something that can be more informative, more challenging, and more fun — and I’m increasingly convinced that will never happen.

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