Editor’s note, October 4, 8 am ET: We’re bringing you some of our best-loved Your Mileage May Vary columns while Sigal Samuel is on parental leave. The one below was originally published last year.

This unconventional advice column offers you a unique framework for thinking through moral dilemmas. It’s based on value pluralism: the idea that each of us has multiple values that are equally valid but that often conflict with each other. Submit your own question here.

My partner and I did IVF recently and luckily we ended up with several embryos. One of those will be implanted in me so I hopefully get pregnant. But which one?

My fertility clinic is encouraging me to do PGT-A testing, which would screen for things like Down syndrome and would also let me see the sex of each embryo so I could potentially choose whichever I want. (And to be honest, I really want a girl!) I’m also hearing about these new companies that can test embryos for all kinds of things — like how smart the kid might be, how tall they’ll get, and whether they’ll have a lower chance of getting breast cancer, diabetes, mental illness, stuff like that.

I don’t know how to feel about any of this. On the one hand, it feels weirdly eugenics-y to do so much tinkering with embryos, and I can’t help feeling a little pressured into overmedicalizing everything with these expensive tests. But then again, if I could do something to make my baby healthier and happier, don’t I kind of have to do everything in my power? What does a parent owe their child?

Dear Expecting,

This is such an exciting — and also confusing — time. You’re about to have your first kid, and that comes with all sorts of fears and insecurities and hopes and dreams. You want to do the right thing — no, the best thing! — for your child. It’s a beautiful impulse. Unfortunately, it makes it easy for companies to prey on you.

So let me walk you through what these companies can and can’t really provide. After we talk about the science, we can talk about the ethics. 

The simpler test you mentioned, PGT-A, has been around since the 1990s. It can indeed screen for conditions like Down syndrome and let you see the sex of each embryo. Mind you, that doesn’t predict what gender your child will ultimately end up identifying with — more on that soon.

The newer testing you mentioned is called polygenic testing. The conditions it screens for are complex ones, influenced by thousands of genes. We’re talking about everything from breast cancer to depression. Some companies even offer screenings not for disease prevention, but for genetic enhancement — so you can select for a taller kid or a kid with higher IQ.

Polygenic testing companies claim to predict each embryo’s risk for each condition, and the potential reduction of risk you’ll get if you choose one embryo over another. As the statistical geneticist Sasha Gusev explains, it’s very, very easy to be misled by this claim. If the company claims to lower absolute risk of Type 2 diabetes by 12 percent, you might think this means, “The chance of my kid ever developing diabetes just went down by 12 percent — great!” But really what it means is that, all else equal, a kid who would’ve developed diabetes is likely now at the high end of pre-diabetes instead, or just develops diabetes a few years later. The same holds true for other conditions, like breast cancer. Sure, if your kid is going to develop diabetes or breast cancer, you’d rather they develop it later — but it’s not the bill of perfect health customers might imagine.  

“Typical risk reduction estimates tend to exploit statistical assumptions to overstate their benefits and lead to confusion,” Gusev writes.

It’s also important to note that there’s a difference between a physical disease like cancer, which is straightforwardly and universally negative, and a complex mental health condition like depression. For one thing, polygenic scores don’t perform as well in psychiatry, as the psychologist Eric Turkheimer notes. Plus, most mental health conditions come in mild to moderate to severe forms, and it’s not clear that we should want to get rid of mild or moderate manifestations. 

“Sure, it would be nice if no one ever got depressed, but what would that actually mean?” Turkheimer writes. “People are going to be sad, and the most modern models of psychiatric disorders view most of them as extremes on continuous dimensions of normal behavior. I don’t think we want some kind of genetic version of Soma.”

To give a personal example: I have generalized anxiety with some obsessive tendencies. Is that a major pain in the butt sometimes? You bet. But if I could wave a magic wand and get rid of it, would I? No. In my experience, this trait is linked to another trait I deeply value: my creativity. The same thing that propels me down rabbit holes of worry also propels me down rabbit holes of getting super curious about some topic, researching it into the wee hours of the morning, and then writing a novel or children’s book about it.

That brings me to one other scientific issue: pleiotropy. It’s a fancy term for a simple truth, which is that genes can have an effect on more than one trait. When it comes to behavioral polygenic testing, we actually know very little about which genes cause what — a gene that’s correlated with depression or anxiety may also be correlated with a bunch of other things. So, if everyone were to start selecting embryos to try to protect their kids from depression or anxiety, what would happen? We don’t know! 

Pleiotropy is a scientific issue, but it’s also a moral issue, because in trying to protect your kid from a negative outcome, you could also be accidentally barring them from a positive one.

And that’s just the tip of the moral iceberg.

Another issue is the potential psychological harm that can result from commodifying our kids — treating them like consumer objects with selectable parts. Let’s say you use polygenic testing to try to select for high IQ. Even if the company’s predictor is right 80 percent of the time, that means it’s wrong 20 percent of the time. What happens if it’s wrong about your kid, and they end up with a low IQ instead of a high one? How will your kid feel? Unless you hide the truth from them, they’ll know that they are not what you wanted, that they failed to live up to the vision you went out of your way to chase.

The same goes for sex selection via good old PGT-A. I know you really want a girl. But what would happen if you select for a girl, and then your child grows up and turns out to be trans? They may feel an extra sense that they’re letting you down by not conforming to the gender expectations you had for them.

Then there are the ethical questions around unequal access. Polygenic testing isn’t cheap. (One company, Orchid, charges $2,500 per screened embryo. Test 10 embryos and that’ll cost you $25,000.) So, at least in the short term, that raises the specter of entrenching a caste system, where the gap between rich and poor expands dramatically as the rich get smarter and stronger.

Technologies tend to get cheaper over time, so maybe everyone will ultimately be able to afford polygenic testing. But that raises another problem: implicit coercion. If more and more of us make ourselves smarter and stronger, we may create a society in which everyone feels pressure to alter their child’s biology — even if they don’t want to. To refuse embryo selection would mean to put a child at a huge professional disadvantage, or to face moral condemnation for making “suboptimal” kids when optimization is possible. Society may no longer offer health insurance benefits or accommodations for kids with disabilities (or even non-enhanced IQ), reasoning that “it was the parents’ choice.” 

Some philosophers, like Julian Savalescu, already argue that parents have a “moral obligation to create children with the best chance of the best life.” Polygenic testing companies love that argument; Orchid founder Noor Siddiqui tells parents that “the responsible decision” is to “protect their children” from disease, using language like, “What if you could have stopped it…but chose not to?” And we generally live in a culture that’s obsessed with optimization. 

So it’s no wonder that you find yourself asking, “If I could do something to make my baby healthier and happier, don’t I kind of have to do everything in my power?” 

It’s a view that will be very appealing to utilitarians, who believe the right action is the action that maximizes well-being or happiness. But maximizing principles can be dangerous. If we’re laser-focused on maximizing one value, however noble it may be, that can lead us to overlook a host of other important values. Think about diversity, for example; polygenic testing could lead to a less diverse world. 

And it’s not even clear how to maximize well-being given that each embryo will have some downsides: How would you choose between one embryo with a slightly elevated risk for schizophrenia, another with a moderately elevated risk for cancer, and a third with a high risk for Alzheimer’s? You’d have to decide how to rank the importance of each condition, which would require a dizzying bit of moral math: How much weight do you put on the longevity associated with each condition, how much on patient-reported quality of life for each condition, and how much on your own ability to cope with each — and society’s ability (which will change over the years)? Plus, even if the screening does end up optimizing life for your individual child, it could have negative effects on the population level, for the reasons we covered above.

As the Nobel laureate Herbert Simon pointed out, many problems contain way more variables and way too much uncertainty for maximizing along a single axis to be feasible or even desirable. So it often makes sense to just go with an option that’s “good enough.” He coined the term “satisficing” — a portmanteau of “satisfying” and “sufficing” — to describe opting for this good enough choice.

What would satisficing look like in the context of embryos? If there’s a very serious condition that runs in your family — like Tay-Sachs or the BRCA mutation that markedly increases cancer risk — then I do think there’s a strong case for screening for that. These conditions are debilitating and can lead to early death. Nobody wants them. Genetic testing that lets us prevent them is an awesome gift. 

Then there are conditions that can include suffering, like autism, but can also be very compatible with a happy life. Mental health conditions in particular are heavily socially constructed — a lot of the associated suffering comes about because society constructs a certain biological reality as a problem and doesn’t support the people who have it. In these cases, if you want to give your child a “good enough” or even “optimized” life, remember that you don’t have to achieve that by biological means; working to change the social environment can be just as important, and it doesn’t carry the societal risks associated with polygenic testing. 

Ultimately, when considering what counts as a “good enough” life, each parent will draw the line in a slightly different place. And there’s a part of that that can’t be boiled down to objective facts about disease, because this is also about how well-resourced the parent feels — emotionally, socially, and financially — to deal with a certain condition. What feels manageable to one parent may feel crushingly hard to another. 

So, I can’t tell you exactly which screenings to do and which to forgo. What I do want to tell you is to resist being bullied or shamed by others, especially those with a profit incentive to push you in a certain direction.

As the epidemiologist Abby Lippman has noted, genetic testing is supposed to offer parents more choice, but it too often has the opposite effect. When someone like Orchid’s Siddiqui says about a disease, “What if you could have stopped it…but chose not to?” — well, that language preys on parents’ worst fears and insecurities. It holds parents hostage while pretending to be giving them more autonomy. 

You are nobody’s hostage. You are a moral agent free to look at the many different relevant factors, weigh them all in the balance, and then make the choice that works well enough for your family.   

Bonus: What I’m reading

• Silicon Valley is obsessed with IQ, so it’s no surprise that tech execs there are using polygenic testing in hopes of creating supersmart babies. This article shows the kind of mental pretzels customers get into when trying to figure out whether to select the embryo with the highest predicted IQ or that with the lowest risk of disorders. One couple asks: “How much additional risk of ADHD cancels out against 10 extra IQ points?”

• Rereading “The Last Children of Down Syndrome,” Sarah Zhang’s 2020 Atlantic feature on prenatal testing, it struck me that when people think “prenatal testing,” Down syndrome is often the first condition that comes to mind, even though it’s not the most severe or straightforwardly negative (it’s compatible with a happy life). It’s just that Down syndrome was easy to test for, so we started testing for it early. I wonder if that built up the condition as a bogeyman in the expectant parent’s imagination — if the fact that we could screen for it shaped the public’s perception of Down syndrome as something that should be screened for and potentially screened out.

• One trait that many people assume we should select for is a great memory. But I highly recommend the short story “Funes the Memorious” by Jorge Luis Borges. It’s a reminder that having too good a memory is not always a benefit.  

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Think about what you’re wearing right now. Did you pick it out? Or was it chosen for you by an algorithm you haven’t even considered? 

You may think it’s the former, but with the state of the fashion industry, it’s likely the latter. There was a time when taste was decided by designers at luxury fashion houses, à la Karl Lagerfeld at Chanel, or Anna Wintour-type magazine editors (think of the famous cerulean sweater monologue from The Devil Wears Prada). Now, in the era of fast fashion, our clothing options are often dictated by computers. 

Amy Odell writes the Back Row newsletter and hosts a podcast with the same name. She told Vox that what’s known as fast fashion has been kicked into hyperdrive by companies like Shein. 

“I’ve also heard it called instant fashion,” she says. “The way it works is that they use algorithms to track trends and what people are interested in, and then they make a few hundred of a very large number of different items and they test demand.” She says this model has allowed companies like Shein to introduce around 4,700 new apparel styles per day. (For comparison, fast-fashion brand Zara produces around 20,000 a year.)

Some are trying to claw back their personal style by hitting the thrift store instead. Traditionally, it’s where people go to find less expensive clothes. But fashion journalist Hannah Marriott says it can be so much more than that. 

“For the last probably a hundred years, [the thrift store] has had lots of moments where it’s been cool within countercultures,” Marriott told Vox. “Whether it’s grunge, or the surrealists in the 1920s, or the Rolling Stones in the 1960s, secondhand clothing was cool because of the stigma.” 

So how did thrifting go from stigmatized to chic? And are thrift stores still thrifty now that they’re more mainstream, especially in an era of ultra-cheap Shein clothing? We find out that and more on the latest episode of Explain It to Me, Vox’s weekly call-in podcast. 

Below is an excerpt of my conversation with Marriott, edited for length and clarity. You can listen to the full episode on Apple Podcasts, Spotify, or wherever you get your podcasts. If you’d like to submit a question, send an email to askvox@vox.com or call 1-800-618-8545.

There’s sometimes this stigma that’s attached to buying secondhand clothes. How has its perception changed over time?

Secondhand clothing used to be something that there was a real sense that if you couldn’t buy new, you would buy secondhand. At the same time, it has had lots of moments where it’s been cool within countercultures. 

People within countercultures — whether it’s grunge, or the surrealists in the 1920s, or the Rolling Stones in the 1960s — secondhand clothing was cool because of the stigma. It’s also been a really important resource for people on lower incomes for a long time. 

I think it was a gradual shift by various things that happened in the pandemic, including this absolute influx of apps [like the RealReal and Depop] that got very, very popular during that time, particularly among younger Gen Z consumers. 

Thrifting became a social currency on social media platforms, especially on TikTok. It’s a vast ecosystem at the moment, and all of them have slightly different business models, slightly different fees that they charge, and slightly different audiences that they’re reaching. The stigma has really gone away, and it’s almost reversed.

What does that ecosystem look like?

There are different layers to it. There are consignment places like the RealReal where they take quite a big cut, but they will promote your items for you. I think those sites tend to work best if you’ve actually got designer clothes that have quite a big margin, particularly handbags. 

Then there are other sites that are a bit more laid-back: eBay maybe skews a bit older, Depop skews a bit younger and trendier. There’s Vinted, which I know from the UK, but is making inroads into the US now. There’s ThreadUp as well. Poshmark. 

It’s an absolutely vast ecosystem at the moment, and all of them have slightly different business models, slightly different fees that they charge, and slightly different audiences that they’re reaching.

One of the biggest secondhand shops here in the US is still Goodwill. Can you walk me through how Goodwill has adapted and changed to the secondhand boom?

Neighborhood thrift stores of that kind are the sort of stores that people on lower incomes do rely on more. It’s less trend-led than something like Depop. And it is somewhere that people have often been going for decades to get clothes that they can afford. 

Goodwill undeniably has put its prices up. Inflation is such an issue for everyone, so I’m sure that there would be an element of prices going up anyway, but a lot of shoppers feel strongly that they’ve gone up a lot — that you can’t find bargains anymore, that the bargains get sent online to either their website or are bought by resellers who sell them for an inflated price online. 

It’s hard to get to the bottom of exactly how true all of that is, especially because Goodwill is run as 150 autonomous [nonprofits], and each of them set their own prices. But what I would say is you are seeing things like the Goodwill branch in Connecticut charging $75 bucks to go on a thrift tour coach to get early access to a Goodwill store, and then you get to go to another store. You used to be able to buy 10 things in Goodwill for $75.

It’s so interesting that thrifting used to be this edgy original thing, but it’s really gone mainstream. Has it sold out? 

I remember when I was much younger, people would say, “Ooh, you got that secondhand.” I just don’t think anyone would ever say that now because that’s kind of how we shop. 

But I still think it is great if you find something original that you love that no one else has, and I still think you’re more likely to find it secondhand or in certain other under-the-radar brands that aren’t fast fashion. 

I think maybe this is a reaction to 30 years of fast fashion just getting faster and faster and faster. I think we’re all feeling a bit tired of that business model, so we’re trying to find other ways to shop and express ourselves.

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For many people, using AI chatbots is incredible at first. It makes them feel productive, confident, maybe even smarter. But later, there’s a hangover. Perhaps there are problems with their memory, or certain skills, like writing or coding, don’t seem to be as sharp as they once were. Maybe they feel like they can’t solve problems or make decisions or remember facts as well as they could before they had the help of AI. 

Susette Brooks, a marketing director living in Philadelphia, said she started using AI tools reluctantly but ultimately relented. She let AI write some of her emails, which lightened her workload, but then the dulling effects sank in. “I felt my writing and thinking decline as it was happening,” said Brooks, who has an MFA in nonfiction writing. “I had a harder time recalling information and synthesizing ideas.”

When you use external tools to reduce the cognitive effort required to do a task, you’re doing something called cognitive offloading. If you’ve ever used a calculator to do a math problem or used a calendar to remember an appointment, you’ve engaged in cognitive offloading. Tools like Claude and ChatGPT can do math problems and remember your appointments, but they can also write your term papers or create your work presentations. This is cognitive offloading at a scale we’ve never seen before.

Cognitive offloading isn’t necessarily bad. It’s actually what makes it possible for humans to be so productive. But as you outsource more and more cognitive tasks, you can start to become forgetful or see certain skills, like writing, start to decline. 

There’s a term for this: de-skilling. This is an old economics term that has emerged as a bit of a buzzword used to describe the perceived downward spiral of competency that’s accompanied the proliferation of AI tools. And it certainly sounds bad, especially if you’re a novice who needs to build skills. De-skilling can affect your critical thinking, your writing abilities, and your creative process. It can also affect your recall, as relying too heavily on AI tools can make it harder to remember things. 

Young people, at least, are worried about the long-term consequences of frictionless thinking. A recent survey by Gallup and researchers from the University of Pennsylvania found that 68 percent of Gen Z adults in the United States are concerned that offloading too many cognitive tasks is robbing them of important skill-building. About the same percentage of those surveyed worry that AI discourages them from critical thinking and social learning. Some 37 percent of US adults under 30 say that AI will have a negative effect on them personally, according to a Pew Research Center study published in June. And yet, more than half of Gen Z Americans use AI on a weekly basis. 

The paradox of AI is that, even if we feel like using these tools is bad for us, saving time and avoiding the friction of thinking is too tempting. We’re hardwired to seek out the path of least resistance, according to Daniel Willingham, a psychology professor at the University of Virginia, because cognitive activity is so taxing, and may or may not get you to the right solution. Memory, on the other hand, is efficient and effective — you know that something worked in the past, and it will work again.

“Our mind is really set up to save you from having to think,” Willingham told me. “Thinking is what you do when you’re in trouble.”

The good news is that experts say it’s possible to use AI in a way that helps you save time and protects your cognitive abilities instead of diminishing them. Here’s their advice.

It’s not your imagination — too much AI use can erode your skills over time

Derek Salyers, a content creator in Ohio, started using AI to get more done, faster. But over time, two things happened. First, the work got worse. “A lot of what I was putting out became AI slop, for lack of a better term,” Salyers told me. And then, his brain got worse, too. 

“When you get used to the AI making the decision, you stop pausing to actually think about things,” Salyers said. “And if you were never really present with it, you don’t remember it later. I wasn’t forgetting things because my memory got worse; I was forgetting because I was never really thinking in the first place.”

This effect is showing up in classrooms, too. One study of nearly 1,000 high school students found that those using ChatGPT scored 48 percent higher on a math test than their peers who didn’t have access to the AI tool. But when they were tested again without the chatbot, their scores were 17 percent lower than the students in the control group who had never had ChatGPT access. Similarly, researchers at the University of California Irvine looked at longitudinal data from online tests starting in 2015, and found that students spent less time and performed better on the text-based questions after the introduction of ChatGPT. (ChatGPT is very good at helping with text-based questions.) But when those students were later given offline tests, without the ability to use AI help, they performed worse. 

All of these students, it appears, were offloading the cognitive work to AI, which provided short-term gains. But in the long term, their thinking skills suffered.

Evan Risko is a psychology professor at the University of Waterloo in Canada who co-authored the foundational paper on cognitive offloading a decade ago. He recently told me there’s not a lot of research into what’s going on in our brains when we’re cognitive offloading, but scientists are gaining a pretty clear picture of the pros and cons of doing it. The advantages vary depending on the task, but in general, cognitive offloading allows us to extend our imperfect memory systems, which you’ve probably done if you’ve ever set a reminder for yourself. The downside, Risko said, comes in offloading mental processes that are important. “Then we risk compromising our cognitive performance,” he said.

Your basic cognitive abilities, like your working memory and selective attention, are quite resilient. But as Risko and his colleagues explained in a paper this year — bluntly titled “Is AI making us stupid?” — other skills, like doing arithmetic and flying planes, are learned behaviors. You first have to acquire them and then, in order to retain them, you have to practice. AI use can compromise both the acquisition and retention of these skills — and people might not even realize this is happening to them, because AI makes them believe they’re more capable than they really are.

“People may have difficulty realizing that their skills are decaying or that they are failing to learn when using AI tools because the output and their performance with AI is at a high level,” said Brooke Macnamara, a psychology professor at Purdue University who co-authored the “Is AI making us stupid?” paper. “They may not realize that if the AI tool were unavailable how low their independent performance might be.”

Be intentional about the tasks you use AI for

The most important step to preserving your cognitive performance is to ask yourself if you should be using AI for a given task at all.

“Just because AI is a tool that’s available to us and it can accomplish a lot of tasks for us, it doesn’t mean that we should always use it,” Anjali Singh, a human-AI interaction researcher at the University of Texas at Austin, told me. Writing, for example, is something that a lot of people are now using AI for. But offloading that work means that you lose out on the independent thinking and reasoning that goes into expressing your thoughts. You also miss the chance to improve your writing skills if you don’t actually write. 

“We keep outsourcing these kinds of skills to AI over time and do not engage in those activities ourselves, then the de-skilling occurs,” Singh told me. “And that is I think probably one of the main reasons people could be feeling that they’re getting dumber as they’re using AI over time.”

It might seem counterintuitive, but it’s actually best to use AI for things you’re already pretty good at, the tasks you’re fully capable of performing yourself. A recent working paper by MIT economist David Autor and his colleagues (note: Several of them work for Google, who funded the study) describes how giving AI tools to 133 patent lawyers and then taking away those tools led to different outcomes, depending on the lawyers’ level of experience. All lawyers saw performance gains while using the AI tools, but those gains disappeared for the younger lawyers when the tools went away. Experienced lawyers, however, performed better afterward than their counterparts who never had access to AI tools. 

A similar effect showed up in a recent experiment by Middlebury College researchers. In the first session, more than 200 undergraduates learned about an unfamiliar topic and then wrote an analytical essay, some with the help of an off-the-shelf AI tool. They performed a similar test a week later, except this time none of the students had access to AI. The students who had AI access improved across the board, but what’s telling is that there appeared to be two types of AI users: augmentation users, who used AI to improve their work, and automation users, who just had AI do the work for them. The augmentation group performed better than everyone.

“Using AI to deepen or develop one’s own thinking on or understanding of a topic, rather than letting AI do all of the thinking, seems like the best way to use these tools,” Lauren Richmond, a cognitive science professor at Stony Brook University in New York, told me.

Tell your chatbot to treat you like a student

If you, like me, have ever fallen down a rabbit hole while trying to understand the geopolitical nuances that led to the outbreak of World War I and ended up staring blankly at a mountain of text feeling more confused than when you started, you know that using AI to learn doesn’t always go as planned. You may have also had the experience of writing prompts or asking questions and then receiving a long, overly detailed response. That can initially seem satisfying, but it’s often too much text to digest at once, so maybe you ask another question — and get back another wall of text. 

Older ways of accessing information, like reading books or even using Google to do research, happened more slowly, and that gave us time to process the information, Singh from UT Austin said. But that’s gone now. “We are not getting these moments to reflect,” she said.

If you find yourself drowning in content, that’s also a sign that you’re probably not expert enough in the material, or you’re not being intentional enough about your approach. 

It starts in the settings. Here, you should explain that you’re trying to build skills, not offload them, and instruct the AI to challenge you and engage with you. If you’re using ChatGPT, you can plug in custom instructions by going into the personalization tools. Claude has similar options called Instructions for Claude. 

If you’re explicitly trying to learn something new, you might also try some of the tools these companies have designed for this. OpenAI has study mode in ChatGPT. Anthropic offers Claude for Education. Google has Gemini for Students. Instead of simply providing answers, these tools act more like tutors, by asking questions, working through problems, and encouraging you to come up with solutions on your own.

Slow down and embrace friction

Something that’s both tempting and dangerous about AI is how fast it can do work. Vibe coding an app can take minutes, rather than days of manual coding. That’s very appealing if you have too much on your plate and want to get through it all quickly.

“The workload was so heavy and crazy, you have no time to think,” Joei Chen, a former brand director at a tech company, told me. “So you just throw stuff into AI and say, ‘What do you think?’”

At the same time, creating more code does not necessarily lead to more finished software, according to a recent Wharton School study. That increased productivity also doesn’t necessarily lead to happier workers. And the faster you move, the more critical thinking you’re going to offload. “Your boss asks you, ‘What does Claude think of this?’” Chen said, so AI “inadvertently becomes the final boss.”

Slowing down and forcing yourself to do more critical thinking is an easy way to hold onto some agency — not to mention some brain power. One easy way to do this is to make your interactions with AI more collaborative than transactional. For example, if you are going to use AI to help you write something, ask for five options of a draft instead of one, and then read each of them yourself and decide which is the best.

“Just the simple act of comparing things stimulates a great deal of the critical thinking processes that we kind of care about,” said Advait Sarkar, an AI researcher at the University of Cambridge, “and has beneficial effects for things like developing your judgment, your own awareness of what you don’t already know, and stimulating your recall.”

The word that came up again and again as I talked to experts about how to use AI without getting dumber was metacognition, or thinking about thinking. A lot of AI users let metacognition take a back seat to whatever content is flowing freely from a chatbot. And it can happen fast. 

While letting AI do all of the thinking for you is tempting, Matt Beane, an associate professor at the University of California Santa Barbara and author of The Skill Code: How to Save Human Ability in an Age of Intelligent Machines, told me that approaching AI this way “is your worst enemy.” To counteract this, you have to introduce more friction.

“You must be very aggressive about how you experiment with it,” Beane said. Risko, the cognitive offloading expert, echoed this advice. “Ask for feedback, hints, examples, explanations, advice, practice questions,” he said.

The best test for judging whether you’re offloading too much thinking to AI and the technology is chipping away at your skillset: Stop using AI and use your brain, and see what happens. You don’t have to stop forever, but you should, for example, spend a day writing emails without AI’s help to see if you’re as fluent as you used to be. Or revert to using Google for research and confirm that you can still find facts without a chatbot finding them for you. Build an app with your own code and see if it flows naturally. 

You might be troubled to find that AI made you worse at something. But you’re not actually dumber than you were before, and you can rebuild your lost skills the old-fashioned way: read, write, do arithmetic. If something requires thinking, go ahead and think.

In October 2024, students at Cornell University received a campus crime alert about a reported sexual assault. At the time, it was just a campus story. Nearly two years later, on September 16, the victim, known only as “Jane Doe,” filed a civil lawsuit that brought national attention to her story. People across the country are asking what happened and why criminal charges never followed. 

Doe alleges that seven men drugged and sexually assaulted her at the Chi Phi fraternity house two years ago. Her lawsuit also accuses the university, fraternity and sorority organizations, and a local bar of failing to protect her. 

The lawyers for several of the men have denied the allegations and any wrongdoing. Cornell says its disciplinary actions led to suspensions and expulsions for some of the young men, and that the Chi Phi fraternity remains barred from campus. 

Doe went to campus police in November 2024, and the district attorney’s office reviewed her account and declined to bring charges. Tompkins County District Attorney Matthew Van Houten has said that what she described to Cornell police didn’t meet the state’s requirements for criminal charges. 

Van Houten reopened the investigation late last month while continuing to defend his original decision to not pursue charges, but it’s now out of his hands: On Thursday, New York Gov. Kathy Hochul named the state attorney general, Letitia James, as special prosecutor to investigate the allegations, saying she had “lost faith” in Van Houten. 

To break down why Van Houten didn’t pursue the case at the time and what should have happened instead, Today, Explained co-host Noel King spoke with Lauren Hersh, a former Brooklyn prosecutor who led the office’s sex trafficking unit and CEO of World Without Exploitation, about how authorities handled Jane Doe’s allegations, the limits of New York’s consent laws, and what needs to change. 

Hersh also explains where she believes the case should go next and what a special prosecutor can do to investigate (the interview took place prior to James’s appointment). 

Below is an excerpt of Hersh’s conversation with Noel 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.

I want to start with what we know in 2024. A young woman who we know as “Jane Doe” goes to the Cornell campus police and says she had gone to a frat house while under the influence of alcohol. 

At the frat house, she was given more alcohol and ketamine. Several men had sex with her while she was intoxicated. This is what she tells Cornell campus police. What, in your view, is supposed to happen next? 

There are a number of things that could happen. What I would say about these cases is there is no perfect scenario of what is supposed to happen, because what is critically important is we listen to the desire of the survivor. 

We want to take this at her pace. We want to be guided by her wishes. We want her to decide if she is ready to go forward, if she wants to speak to campus police, the Title IX office, if she wants to speak to the local law enforcement. There are a lot of variables here, but for me, what is critically important is that we’re listening to the survivor and what she ultimately wants to happen. 

In the present day, the district attorney who was involved has said that his office reviewed Jane Doe’s statement at the time and found at the time that what she described didn’t meet the legal definition of a crime. 

I think people want to understand, Lauren, how is that possible? 

To be really candid with you, Noel, this is an area that seems super unclear to me because the role of the district attorney in that moment is to investigate. 

When you first get a case file, you first get a victim statement, and especially with facts as horrific as these facts are, or our understanding of this six-page document that the DA read — I would never say that this is a clear-cut case where there’ll be a conviction at the end. We never know that. 

What I can say with 100 percent certainty is if you get a document like that, as a prosecutor, that is a significant investigative lead. And so, as a prosecutor, what I believe to be good practice is starting to pull the layers back, trying to understand what transpired here. Interviewing the victim. That feels critical. That never happened. We now know that there are all these text messages that were shared between these boys, and the prosecutor’s now saying, “I didn’t know about the text messages.” 

It’s my understanding that there were a lot of boys on that particular text thread. And so a good investigator would have gone to that fraternity house and tried to interview some of those boys, tried to understand what were the contemporaneous statements made at that time. Were there any text messages? Was there any social media activity? And I believe that had they done that in a timely fashion, they likely would have come up with these text messages at that time and not two years later.

What you’re saying is interesting because the DA has come out publicly and defended himself by saying, essentially, the details of this lawsuit, which was filed in September of this year, are different from the details in the young woman’s 2024 statement to the police. 

He has used that in his defense, right? “Here’s what I knew at the time versus what this young woman is saying today.” I think I hear you saying that maybe that’s not an excuse?

You’re asking about the inconsistent statements, and I find it troubling that the DA is leading with this notion that the victim has inconsistent statements because that feels to me like here we are making excuses and blaming the victim. 

To my knowledge, the DA has not yet interviewed this victim. Perhaps he’s talking about the civil complaint, which I would think is written in a way where she has worked with her lawyer to put this together. And the initial statement, the initial six-page document that the DA read, my understanding is that it is basically a summary of a conversation. 

Inconsistencies come in all shapes and sizes, so it’s hard to know exactly what we’re talking about here, but it is very common for there to be some inconsistencies. That is not a dealbreaker, despite the fact that this prosecutor wants the public to believe that it is. 

What do you make of the prosecutor speaking publicly in the way that he is at this moment?

I find it rather confusing. I’m not really understanding why he is doing a media tour rather than sitting in his office doing the work, interviewing this particular victim, interviewing witnesses, seeing what evidence actually exists.

It seems to me that the DA has gotten to a conclusion before he’s done the work in actually investigating the case, and it is deeply troubling. And I think the governor should consider appointing a special prosecutor because I am not certain, based on this media tour, that this DA is able to give this particular survivor a full and fair investigation of the facts. 

Drugs and alcohol are central to this case, right? The young woman admits she had been drinking and she was using ketamine. Under New York law, how does that affect whether or not someone is believed to be capable of consenting to sex? 

New York law is actually really problematic here. It’s a place where I believe we are desperate for a legislative fix. I think that there have been a lot of advocates who’ve been championing a correction to this voluntary intoxication loophole for a lot of years, and we’ve not been able to get it. 

New York law makes it very, very hard to prosecute a person when the victim is voluntarily intoxicated, but not unconscious, and this new law would allow the prosecutors the ability to bring cases when the victim is so severely intoxicated but not physically helpless and where a reasonable person should have known the victim’s condition. 

In this particular case, based on what we’re hearing, she was in a condition where a reasonable person should have known her condition. And so in this particular instance, the DA is right. This is a very, very hard case to prove in this moment, but I’m a big believer. We don’t not prosecute cases because they’re hard cases. But at the same time, we know that a change to the law is critically important. 

You clearly want more investigation here. What questions do you want asked? Who do you want to be [interviewed]? 

Before I say who and how and what that investigation looks like, I think it’s really important to say that when two years have passed and the DA did not investigate these cases immediately, we have a big problem on our hands.

The fact that the DA did not investigate this from the moment he found out about this, it’s really problematic because as we know, evidence disappears, memories fade. When you’re dealing on a college campus with a specific culture, there may be a narrative that takes hold. And so it’s important to talk about the time lapse and how that harms the case. 

That said, I still believe that the investigation is critically important. I don’t believe that this DA is the right person to do the investigation. I think a special prosecutor should be appointed. And then I think that the prosecutor and law enforcement should be interviewing everybody who was in that fraternity on that night. Anybody who saw this victim before, saw this victim after. Were there any statements in the immediate aftermath of her leaving that fraternity? Was there an outcry witness? We know that some text messages have come to light. Are there other text messages? I suspect that there are. 

I’d want to interview as many of those boys as possible to understand what was going on because some of those text messages that have come to light — one says, “Free pussy” — don’t sound like a mindset that is engaging in consensual sex. 

I think it is critically important that we understand all of the correspondence of that night. I think we want to see what is out there that helps us get closer to understanding what transpired that night. 

I’ve seen two lines of thinking about this. One is that this is a horrific incident that never should have happened, but it is in some ways singular. But I’ve seen another line of thinking that says, “No, this is a systemic failure. This kind of thing goes on on college campuses, and the steps that follow the outcomes are often the same.”

I wonder if you think this is a systemic failure, and if you think it is, what would need to be done to fix this problem? 

That’s a big question. I do think it’s a systemic failure. I also think it’s a cultural failure. And the reason that I would say this is because I don’t think this is isolated to this specific college campus. I think that sexual assault is happening across the country on college campuses everywhere.

In terms of additional systemic failures, I’ve been working with the Epstein survivors for the last year and a half, so I’ve seen so many systemic failures, so many prosecutorial failures, so much failure with law enforcement. I think that this is yet another example of prosecutorial failure. 

I think the law enforcement failed this young person — the fact that there’s no investigation that happened immediately in the aftermath of this incident, no investigation. We just continue to fail survivors all over the place, and we have to start doing better.

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