Review
Culture
Film & TV
Romance
4 min read

Growing up with no hard feelings

Jennifer Lawrence’s latest eyebrow-raising romcom brings the sexual-awakening story back from the 90s movie graveyard. Lauren Windle explores what it really means to grow up.

Lauren Windle is an author, journalist, presenter and public speaker.

A young couple sit next to each other on a beach sharing a towel.
Andrew Barth Feldman and Jennifer Lawrence.
Sony Pictures.

I hate to sound like your moany Uncle Raymond, but they just don’t make romcoms like they used to. The likes of 10 Things I Hate About You, Clueless and She’s All That have never been replicated in recent times and attempts to recreate the 90s nostalgia have always fallen flat on their face.  

It’s for this reason, I was excited when I saw No Hard Feelings hit the cinemas. The latest Jennifer Lawrence movie was pitched as a hilarious coming-of-age tale for the modern era. The story sees strapped-for-cash millennial Maddie (Jennifer Lawrence) hired by the parents of an introverted gen-z lad Percy (Andrew Barth Feldman), to help him into blossom into maturity – via the medium of sex. The meddling helicopter mum and dad were concerned their talented 19-year-old was more interested in computer games than socialising and fornication. 

The film is silly. If you’re reading this to establish whether you should go and see it, I would say sure – if you want a low-emotional-investment flick that you’ll watch once but not twice. But the question it raised for me was: How do we know when we’ve grown up?  

I felt I was most grown-up when tackling things alone. I wanted to be open to all experiences on the spectrum of sensible to reckless. 

If the initial premise of the film is anything to go by, growing up means embracing partying, reckless behaviour, drinking and losing your virginity. This is, probably word for word, how 14-year-old me would have described maturity. In my adolescence, I believed that increased maturity meant more independence. I felt I was most grown-up when tackling things alone. I wanted to be open to all experiences on the spectrum of sensible to reckless. I formed opinions hastily and defended them resolutely. I was desperate to be trusted and to be “my own person”. My parents were a humiliating presence in my life who crowded my decisions with their own, old-fashioned logic. From my perspective; the less they were allowed influence, the better. To me, being an adult involved doing “adult things”, those that came with a legal minimum age requirement.  

This is the kind of “maturing” that Percy is encouraged to do in the film. Maddie orders him a strong alcoholic drink, attempts to lure him into casual sex and persuades him to skinny dip. She instructs him to consider himself an adult and to distance himself from his parents (in fairness they did have a tracker on the 19-year-old’s phone and had hired a woman to take his virginity, so she probably wasn’t wrong in this instance). By all accounts, it seemed Maddie considered maturity to involve the same things as I did at age 14. 

But I’ve come to realise that these milestones are often just touchpoints in a maturing process that is entirely circular. Stay with me on this one; ideally, we start life reliant on those who care for us, ensuring we eat well and get enough sleep, we spend time developing and learning, backing away from things that are likely to cause us pain. Then many of us ‘grow-up' and break free from those who raised us. We are no longer so careful about what we eat or how long we sleep, we begrudgingly continue learning or some shun education altogether. We are enticed by things which may or may not provide a short-term amusement but will definitely harm us in the long term. But the loop closes up.  

We come to the realisation that true maturity is acknowledging that life is designed to be lived in community, reliant on those around us. 

As we move away from the excitement and poorly judged choices we associated with maturity, we realise that we do, in fact, want to spend time with those who care and cared for us. We seek their wise counsel rather than avoiding it. We come to the realisation that true maturity is acknowledging that life is designed to be lived in community, reliant on those around us. And most crucially – asking for help isn’t childish but the most mature thing of all. 

We start to want to care for our bodies. The idea of a hangover is repulsive and to be avoided at all costs, rather than a necessary penance for a fun night with friends. We want to invest in our growth and development in all the ways; emotional, mental, academic and spiritual. We start to self-impose the restrictions that we railed against in our youth. The idea of a 10pm bedtime is absolute bliss and events that start at 9pm are abhorrent. 

By Maddie’s metrics, I grew up at 15, but by mine, I was 25. It wasn’t until then that I started asking myself questions about the person I wanted to be – not the one I thought others wanted of me. This is when I walked into a church and when I decided that really understanding what I believed was important. It’s also when I started letting thoughtful people speak into my life rather than being convinced that I knew better. 

Despite being a decade on from that period of inviting in development and support, I still can’t be certain I’m done growing up, but I wonder if acknowledging that truth is its own form of maturity. From time to time, I get behind the wheel of a car from time to time and think: “Does anyone know I’m doing this unsupervised?” And when I babysit young children, I half expect a real grown up to come over and relieve me of the responsibility, telling me I’ve done a good job but they’ll take it from here. I asked a woman in her 70s when she finally knew she was an adult, she replied:  

“I don’t know if anyone truly considers themselves grown up.” 

The film perfectly illustrates our rush to mature, our societies’ obsession with collecting milestones and experiences and our warped idea of what adulthood should look like. But when I reflect on the maturing process, all I can conclude is that the more we grow in childlike awe, wonder and accepting of our limitations – the more mature we become. 

Article
AI
Culture
Generosity
Psychology
Virtues
5 min read

AI will never codify the unruly instructions that make us human

The many exceptions to the rules are what make us human.
A desperate man wearing 18th century clothes holds candlesticks
Jean Valjean and the candlesticks, in Les Misérables.

On average, students with surnames beginning in the letters A-E get higher grades than those who come later in the alphabet. Good looking people get more favourable divorce settlements through the courts, and higher payouts for damages. Tall people are more likely to get promoted than their shorter colleagues, and judges give out harsher sentences just before lunch. It is clear that human judgement is problematically biased – sometimes with significant consequences. 

But imagine you were on the receiving end of such treatment, and wanted to appeal your overly harsh sentence, your unfair court settlement or your punitive essay grade: is Artificial Intelligence the answer? Is AI intelligent enough to review the evidence, consider the rules, ignore human vagaries, and issue an impartial, more sophisticated outcome?  

In many cases, the short answer is yes. Conveniently, AI can review 50 CVs, conduct 50 “chatbot” style interviews, and identify which candidates best fit the criteria for promotion. But is the short and convenient answer always what we want? In their recent publication, As If Human: Ethics and Artificial Intelligence, Nigel Shadbolt and Roger Hampson discuss research which shows that, if wrongly condemned to be shot by a military court but given one last appeal, most people would prefer to appeal in person to a human judge than have the facts of their case reviewed by an AI computer. Likewise, terminally ill patients indicate a preference for doctor’s opinions over computer calculations on when to withdraw life sustaining treatment, even though a computer has a higher predictive power to judge when someone’s life might be coming to an end. This preference may seem counterintuitive, but apparently the cold impartiality—and at times, the impenetrability—of machine logic might work for promotions, but fails to satisfy the desire for human dignity when it comes to matters of life and death.  

In addition, Shadbolt and Hampson make the point that AI is actually much less intelligent than many of us tend to think. An AI machine can be instructed to apply certain rules to decision making and can apply those rules even in quite complex situations, but the determination of those rules can only happen in one of two ways: either the rules must be invented or predetermined by whoever programmes the machine, or the rules must be observable to a “Large Language Model” AI when it scrapes the internet to observe common and typical aspects of human behaviour.  

The former option, deciding the rules in advance, is by no means straightforward. Humans abide by a complex web of intersecting ethical codes, often slipping seamlessly between utilitarianism (what achieves the most amount of good for the most amount of people?) virtue ethics (what makes me a good person?) and theological or deontological ideas (what does God or wider society expect me to do?) This complexity, as Shadbolt and Hampson observe, means that: 

“Contemporary intellectual discourse has not even the beginnings of an agreed universal basis for notions of good and evil, or right and wrong.”  

The solution might be option two – to ask AI to do a data scrape of human behaviour and use its superior processing power to determine if there actually is some sort of universal basis to our ethical codes, perhaps one that humanity hasn’t noticed yet. For example, you might instruct a large language model AI to find 1,000,000 instances of a particular pro-social act, such as generous giving, and from that to determine a universal set of rules for what counts as generosity. This is an experiment that has not yet been done, probably because it is unlikely to yield satisfactory results. After all, what is real generosity? Isn’t the truly generous person one who makes a generous gesture even when it is not socially appropriate to do so? The rule of real generosity is that it breaks the rules.  

Generosity is not the only human virtue which defies being codified – mercy falls at exactly the same hurdle. AI can never learn to be merciful, because showing mercy involves breaking a rule without having a different rule or sufficient cause to tell it to do so. Stealing is wrong, this is a rule we almost all learn from childhood. But in the famous opening to Les Misérables, Jean Valjean, a destitute convict, steals some silverware from Bishop Myriel who has provided him with hospitality. Valjean is soon caught by the police and faces a lifetime of imprisonment and forced labour for his crime. Yet the Bishop shows him mercy, falsely informing the police that the silverware was a gift and even adding two further candlesticks to the swag. Stealing is, objectively, still wrong, but the rule is temporarily suspended, or superseded, by the bishop’s wholly unruly act of mercy.   

Teaching his followers one day, Jesus stunned the crowd with a catalogue of unruly instructions. He said, “Give to everyone who asks of you,” and “Love your enemies” and “Do good to those who hate you.” The Gospel writers record that the crowd were amazed, astonished, even panicked! These were rules that challenged many assumptions about the “right” way to live – many of the social and religious “rules” of the day. And Jesus modelled this unruly way of life too – actively healing people on the designated day of rest, dining with social outcasts and having contact with those who had “unclean” illnesses such as leprosy. Overall, the message of Jesus was loud and clear, people matter more than rules.  

AI will never understand this, because to an AI people don’t actually exist, only rules exist. Rules can be programmed in manually or extracted from a data scrape, and one rule can be superseded by another rule, but beyond that a rule can never just be illogically or irrationally broken by a machine. Put more simply, AI can show us in a simplistic way what fairness ought to look like and can protect a judge from being punitive just because they are a bit hungry. There are many positive applications to the use of AI in overcoming humanity’s unconscious and illogical biases. But at the end of the day, only a human can look Jean Valjean in the eye and say, “Here, take these candlesticks too.”   

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