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Less John, more Joan. How Paris’ secular hymn fell flat

Despite launching a flaming piano of peace, France missed an obvious emissary.
A floating stage bears a flaming piano and singer standing at a mic.
That opening ceremony.
BBC.

Amid the furor around Dionysus and his flesh suit it was another point in the Olympic opening ceremony that got me thinking spiritually. Which is ironic, given the moment’s message. Silence fell after a chaotic, multi-barge disco. An atmospherically lit boat carrying a piano on fire sailed down the Seine, with a beautifully sung Imagine, by John Lennon, drifting from the singer.  

Nowhere does secularism like France, with a religion-less public society so entrenched that a French Muslim sprinter, Sounkamba Sylla, had to swap her hijab for a cap at the opening ceremony to abide by its public religiosity laws. Telling a woman what she can and can’t wear is not a great look for a modern democracy. However, choosing Imagine, - a well-known atheistic plea for a world without religious devotion and the dogma, extremism, and warring that comes with it, perhaps tells us what France is going for. Beautiful, modern, peace. The world as one in Godless enlightenment. No hell to scare you. No heaven to inspire you. 

Except. Humans have managed to do an excellent job of conceiving, enacting, and justifying extreme violence without religious devotion for much of the last two centuries. Side-by-side with religious acts of aggression were communist oppression, The Great Leap Forward, Gulags, Darwinian race wars, the Holocaust, and the Cold War. Perhaps rather than blaming religion for the constant state of war the global populace finds themselves in, John Lennon would be best investigating our common human instinct. 

Each time we go a bit Joan, and are inspired to overthrow injustice, the Kingdom of peace comes a little nearer.

When God is taken out of the equation, peace is no better found in science, rationality, or self-actualisation, the twentieth century demonstrates that. These things are just as likely to be twisted towards conflict. Without God there is no inspiration to be selfless, moral, or compassionate, the impulses of each which might lead to reconciliation rather than war. 

Just a little after the flaming piano, a figure that better points the way to peace came riding down the Seine. Billed as a Gallo-Roman goddess, it was more a recreation of Joan of Arc, the French saint who brought spiritual leadership to her country and defeat to English invaders. She bore the Olympic flag onto dry land. In a very medieval way Joan’s life after hearing from God was of breaking sieges and leading armies. It might seem strange to anoint her the bearer of peace, but she shows the way to the united humanity that John Lennon was striving for.  

Christians await with anticipation the Kingdom of God fully coming on Earth which will bring with it peace and perfect justice. Joan, being led by God to challenge the oppression of English invaders, points the way towards it by rising up against injustice. And she points the way back to Jesus, her Lord, who turned the world upside down with his message of peace and his beginning of this Kingdom of God. Each time we go a bit Joan, and are inspired to overthrow injustice, the Kingdom of peace comes a little nearer. 

Rather than seeking a Godless paradise which can never have enough moral force to be anything other than a selfish search for meaning, we must look to Joan’s God. We will find a God who calls any who will follow him to a life of justice and peace. Only in giving up our own desires, to follow the example of Jesus, will we ever have a world as one. 

As my wife, Harriet, remarked whilst we watched Lennon’s hymn, it’s only a few words away from being spot on. Rather than taking the modern French approach and keeping God away from the public sphere, we might delve into Joan’s spirituality and find a burning for justice, a desire for peace, and a self-sacrifice which will one day lead to peace under God. Imagine there’s a heaven. It’s easy if you try. And it’s the only place humans will ever find the true and lasting peace of Lennon’s imagination.

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It's our mistakes that make us human

What we learn distinguishes us from tech.

Silvianne Aspray

Silvianne Aspray is a theologian and postdoctoral fellow at the University of Cambridge.

A man staring at a laptop grimmaces and holds his hands to his head.
Francisco De Legarreta C. on Unsplash.

The distinction between technology and human beings has become blurry: AI seems to be able to listen, answer our questions, even respond to our feelings. It becomes increasingly easy to confuse machines with humans. In this situation, it is increasingly important to ask: What makes us human, in distinction from machines? There are many answers to this question, but for now I would like to focus on just one aspect of what I think is distinctively human: As human beings, we live and learn in time.  

To be human means to be intrinsically temporal. We live in time and are oriented towards a future good. We are learning animals, and our learning is bound up with the taking of time. When we learn to know or to do something, we necessarily make mistakes, and we take practice. But keeping in view something we desire – a future good – we keep going.  

Let’s take the example of language. We acquire language in community over time. Toddlers make all sorts of hilarious mistakes when they first try to talk, and it takes them a long time even to get single words right, let alone to try and form sentences. But they keep trying, and they eventually learn. The same goes with love: Knowing how to love our family or our neighbours near and far is not something we are good at instantly. It is not the sort of learning where you absorb a piece of information and then you ‘get’ it. No, we learn it over time, we imitate others, we practice and even when we have learned, in the abstract, what it is to be loving, we keep getting it wrong. 

This, too, is part of what it means to be human: to make mistakes. Not the sort of mistakes machines make, when they classify some information wrongly, for instance, but the very human mistake of falling short of your own ideal. Of striving towards something you desire – happiness, in the broadest of terms – and yet falling short, in your actions, of that very goal. But there’s another very human thing right here: Human beings can also change. They – we – can have a change of heart, be transformed, and at some point in time, actually start to do the right thing – even against all the odds. Statistics of past behaviours, do not always correctly predict future outcomes. Part of being human means that we can be transformed.  

Transformation sometimes comes suddenly, when an overwhelming, awe-inspiring experience changes somebody’s life as by a bolt of lightning. Much more commonly, though, such transformation takes time. Through taking up small practices, we can form new habits, gradually acquire virtue, and do the right thing more often than not. This is so human: We are anything but perfect. As Christians would say: We have a tendency to entangle ourselves in the mess of sin and guilt. But we also bear the image of the Holy One who made us, and by the grace and favour of that One, we are not forever stuck in the mess. We are redeemed: are given the strength to keep trying, despite the mistakes we make, and given the grace to acquire virtue and become better people over time. All of this to say that being human means to live in time, and to learn in time. 

So, this is a real difference between human beings and machines: Human beings can, and do strive toward a future good. 

Now compare this to the most complex of machines. We say that AI is able to “learn”. But what does it mean to learn, for AI? Machine learning is usually categorized into supervised learning, unsupervised and self-supervised learning. Supervised learning means that a model is trained for a specific task based on correctly labelled data. For instance, if a model is to predict whether a mammogram image contains a cancerous tumour, it is given many example images which are correctly classed as ‘contains cancer’ or ‘does not contain cancer’. That way, it is “taught” to recognise cancer in unlabelled mammograms. Unsupervised learning is different. Here, the system looks for patterns in the dataset it is given. It clusters and groups data without relying on predefined labels. Self-supervised learning uses both methods: Here, the system uses parts of the data itself as a kind of label – such as, for instance, predicting the upper half of an image from its lower half, or the next word in a given text. This is the predominant paradigm for how contemporary large-scale AI models “learn”.  

In each case, AI’s learning is necessarily based on data sets. Learning happens with reference to pre-given data, and in that sense with reference to the past. It may look like such models can consider the future, and have future goals, but only insofar as they have picked up patterns in past data, which they use to predict future patterns – as if the future was nothing but a repetition of the past.  

So this is a real difference between human beings and machines: Human beings can, and do strive toward a future good. Machines, by contrast, are always oriented towards the past of the data that was fed to them. Human beings are intrinsically temporal beings, whereas machines are defined by temporality only in a very limited sense: it takes time to upload data, and for the data to be processed, for instance. Time, for machines, is nothing but an extension of the past, whereas for human beings, it is an invitation to and the possibility for being transformed for the sake of a future good. We, human beings, are intrinsically temporal, living in time towards a future good – which machines do not.  

In the face of new technologies we need a sharpened sense for the strange and awe-inspiring species that is the human race, and cultivate a new sense of wonder about humanity itself.  

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