Review
Comedy
Culture
Film & TV
4 min read

Last One Laughing: we’re less in control than we think

"Humour is human" and deeply strange.

Jonathan is a priest and theologian who researches theology and comedy.

A montage shows a group of comedians trying not to laugh.
Amazon MGM Studios.

10 comedians shut in a room. Last one to laugh wins. 

It’s a simple concept, and with the addition of a few gimmicks, including games and surprise guests, Last One Laughing delivers on it. The show isn’t creative – there have been at least 27 previous versions in various languages – but it is successful and is a much-needed boost for Amazon Prime, whose content has tended to flop recently. 

I enjoyed the show. It amused me, which is what it was supposed to do. I didn’t necessarily laugh out loud, and I think I probably would have enjoyed all the comedians doing their own standup better. Some of the comics have made their infectious laughter such a part of their charm that it was a bit bizarre seeing them crack jokes without having a giggle (I’m looking at you Bob Mortimer). 

But overall, I had a good time watching Last One Laughing. I was entertained and I would recommend it. Jimmy Carr is unusually likeable as a host, though I wanted to hear more from Roisin Conaty, whose role as co-host was almost non-existent. Richard Ayoade was his normal genius self. And there were a few genuinely standout moments: I think my favourite was Rob Beckett whispering to Joe Wilkinson “you’ve doing a really really good job of showing off, lots of funny bits."

In fact, as that moment suggests, the show is probably at its best when it gets a bit meta, as the comedians reflect on their own comedy and what it is like to be a comic. Moreover, there is a genuine warmth between everyone, and an appreciation of each other’s talents, which gives the show a particularly endearing tone. 

It’s good, mindless, not particularly clean (definitely not family friendly!), fun. 

So Last One Laughing doesn’t tell us much we don’t already know. It’s not supposed to. It’s light entertainment. 

Comics are funny.  

Often the unexpected makes us laugh. 

Not laughing can be very hard. 

This last point, though, is perhaps worth thinking about a bit further. It is familiar to everyone. Who hasn’t felt the physical pain of trying to restrain the giggles in a moment when we really must not laugh? 

 But this is one of those things that is so familiar we often miss how strange it is. 

Philosophers since Aristotle have speculated that laughter is one of the things that makes humans unique, since we don’t know of any animals that laugh. Whether the claim about human exceptionalism is correct or not (and I confess I remain agnostic about this), it does seem that laughter is a practically universal experience of human beings. As Philosopher Simon Critchley puts it, “humour is human.” 

But if this is true, then laughter as a phenomenon also highlights some of the eccentricity of our humanity. For, as Last One Laughing shows us so clearly, laughter is only ever partially under our control. 

Our bodies, our spirits, even our minds, can betray us at any moment. That something we don’t want, even something good like laughter, can erupt from within. 

We often like to imagine ourselves as rational beings, whose lives are characterised by making informed and free choices. We think we are in charge, at least of ourselves, and that we move through the world intentionally, with purpose and direction. 

And yet, into this nice picture of a life under control, laughter breaks in, often uncontrollably. Our muscles spasm. Our eyes stream. Our vocal cords erupt in strangely animal snorts and grunts. 

The fact that professional comedians and actors can’t maintain a straight face, sometimes in the face of their own jokes (take a bow Daisy May Cooper), should remind us that there is much in ourselves that is beyond our conscious control. Our laughter almost always has cognitive content. It involves our minds. We laugh at things. 

But it is always embedded within a body. Laughter, with all its bodily shakes and muscle twitches, sometimes just can’t be kept in, no matter what our minds and consciousness tells us. 

Christianity has long been aware of our lack of control. Paul, writing to the church in Rome, lamented that “I do not do what I want to, but I do the very thing I hate.” St Augustine, one of the greatest theologians of the Western Church, wrote in the fourth century that “I had become to myself a vast enigma.” Martin Luther, the sixteenth century German theologian, began the Reformation and changed history, in part over an insistence that we are far less in charge of ourselves than we like to think. 

Yet such writers do not counsel despair. Instead, they allow our lack of control to point to our need for God and his help. Paul, a few verses after the previous quotation, cries out: “Wretched man that I am! Who will rescue me from this body of death? Thanks be to God through Jesus Christ our Lord!” 

Now, for all these authors, the stakes are high – they are talking about sin, death and damnation. The comedians in Last One Laughing are playing a much more relaxed game, all that they stand to lose is pride. Yet they too, one by one, discover that they “do not do the thing they want.” 

And so, they are learning a version of a Christian lesson – that we are less in control of ourselves than we might like to think. That our bodies, our spirits, even our minds, can betray us at any moment. That something we don’t want, even something good like laughter, can erupt from within. 

Now most of us, most of the time, probably enjoy the uncontrollability of laughter. It’s one of the things that make comedy enjoyable, both to watch and to perform. But it should maybe make us aware of other, less benign losses of control. Or at the least it should remind us that there is much in us that escapes our attempts at self-mastery. 

Last One Laughing reminded me that laughter is stranger than we think. Just as I am stranger than I think. 

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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