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 - Artificial Intelligence
Attention
Culture
5 min read

Will AI’s attentions amplify or suffocate us?

Keeping attention on the right things has always been a problem.

Mark is a research mathematician who writes on ethics, human identity and the nature of intelligence.

A cute-looking robot with big eyes stares up at the viewer.
Robots - always cuter than AI.
Alex Knight on Unsplash.

Taking inspiration from human attention has made AI vastly more powerful. Can this focus our minds on why attention really matters? 

Artificial intelligence has been developing at a dizzying rate. Chatbots like ChatGPT and Copilot can automate everyday tasks and can effortlessly summarise information. Photorealistic images and videos can be generated from a couple of words and medical AI promises to revolutionise both drug discovery and healthcare. The technology (or at least the hype around it) gives an impression of boundless acceleration. 

So far, 2025 has been the year AI has become a real big-ticket political item. The new Trump administration has promised half a trillion dollars for AI infrastructure and UK prime minister Keir Starmer plans to ‘turbocharge’ AI in the UK. Predictions of our future with this new technology range from doom-laden apocalypse to techno-utopian superabundance. The only certainty is that it will lead to dramatic personal and social change. 

This technological impact feels even more dramatic given the relative simplicity of its components. Huge volumes of text, image and videos are converted into vast arrays of numbers. These grids are then pushed through repeated processes of addition, multiplication and comparison. As more data is fed into this process, the numbers (or weights) in the system are updated and the AI ‘learns’ from the data. With enough data, meaningful relationships between words are internalised and the model becomes capable of generating useful answers to questions. 

So why have these algorithms become so much more powerful over the past few years? One major driver has been to take inspiration from human attention. An ‘attention mechanism’ allows very distant parts of texts or images to be associated together. This means that when processing a passage of conversation in a novel, the system is able to take cues on the mood of the characters from earlier in the chapter. This ability to attend to the broader context of the text has allowed the success of the current wave of ‘large language models’ or ‘generative AI’. In fact, these models with the technical name ‘Transformer’ were developed by removing other features and concentrating only on the attention mechanisms. This was first published in the memorably named ‘Attention is All You Need’ paper written by scientists working at Google in 2017. 

If you’re wondering whether this machine replication of human attention has much to do with the real thing, you might be right to be sceptical. That said, this attention-imitating technology has profound effects on how we attend to the world. On the one hand, it has shown the ability to focus and amplify our attention, but on the other, to distract and suffocate it. 

Attention is a moral act, directed towards care for others.

A radiologist acts with professional care for her patients. Armed with a lifetime of knowledge and expertise, she diligently checks scans for evidence of malignant tumours. Using new AI tools can amplify her expertise and attention. These can automatically detect suspicious patterns in the image including very fine detail that a human eye could miss. These additional pairs of eyes can free her professional attention to other aspects of the scan or other aspects of the job. 

Meanwhile, a government acts with obligations to keep its spending down. It decides to automate welfare claim handling using a “state of the art” AI system. The system flags more claimants as being overpaid than the human employees used to. The politicians and senior bureaucrats congratulate themselves on the system’s efficiency and they resolve to extend it to other types of payments. Meanwhile, hundreds of thousands are being forced to pay non-existent debts. With echoes of the British Post Office Horizon Scandal, the 2017-2020 the Australian Robo-debt scandal was due to flaws in the algorithm used to calculate the debts. To have a properly functioning welfare safety net, there needs to be public scrutiny, and a misplaced deference to machines and algorithms suffocated the attention that was needed.   

These examples illustrate the interplay between AI and our attention, but they also show that human attention has a broader meaning than just being the efficient channelling of information. In both cases, attention is a moral act, directed towards care for others. There are many other ways algorithms interact with our attention – how social media is optimised to keep us scrolling, how chatbots are being touted as a solution to loneliness among the elderly, but also how translation apps help break language barriers. 

Algorithms are not the first thing to get in the way of our attention, and keeping our attention on the right things has always been a problem. One of the best stories about attention and noticing other people is Jesus’ parable of the Good Samaritan. A man lies badly beaten on the side of the road after a robbery. Several respectable people walk past without attending to the man. A stranger stops. His people and the injured man’s people are bitter enemies. Despite this, he generously attends to the wounded stranger. He risks the danger of stopping – perhaps the injured man will attack him? He then tends the man’s wounds and uses his money to pay for an indefinite stay in a hotel. 

This is the true model of attention. Risky, loving “noticing” which is action as much as intellect. A model of attention better than even the best neuroscientist or programmer could come up with, one modelled by God himself. In this story, the stranger, the Good Samaritan, is Jesus, and we all sit wounded and in need of attention. 

But not only this, we are born to imitate the Good Samaritan’s attention to others. Just as we can receive God’s love, we can also attend to the needs of others. This mirrors our relationship to artificial intelligence, just as our AI toys are conduits of our attention, we can be conduits of God’s perfect loving attention. This is what our attention is really for, and if we remember this while being prudent about the dangers of technology, then we might succeed in elevating our attention-inspired tools to make AI an amplifier of real attention. 

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