When the journey is the destination

Flights to nowhere and third spaces.

Jamie Mulvaney

Jamie is Associate Minister at Holy Trinity Clapham, London.

A large airport window silhouettes a bench at which one person sits.

Suganth on Unsplash.

'It's not about the destination. It's the journey.' Spare a thought for the British Airways passengers who left Heathrow to Houston, only to land back where they started at nine hours later. It's probably a little bit about the destination too.

Even though BA195 was already flying over Newfoundland when the technical issue was raised, it made more sense to fix one of its Rolls Royce engines back at the ranch. In November an Air New Zealand flight also had a 'flight to nowhere' that lasted eleven hours. I'm not sure that's quite what T.S. Eliot meant when he wrote:

'We shall not cease from exploration

And the end of all our exploring

Will be to arrive where we started

And know the place for the first time.’

Being stuck somewhere you don't want to be, let alone finding yourself back where you began, is a tad more prosaic. The never-ending journey can feel like a destination in itself. Which is exactly where you don't want to be.

Airports and airplanes are neutral territory, not dissimilar to 'third places' as coined by sociologist Ray Oldenburg. Home is the first place, workplace is the second, and then there's the third space in our lives. Some of the characteristics are shared: a neutral ground without obligations, a leveller where status doesn't matter, and also where conversation is the main activity. Clearly Oldenburg wasn't thinking of the tube and Londoners where the chat is minimal! Airports and airplanes are also not completely levelling, when a delay or diversion means some can wait well up in the pointy end of the plane or in exclusive lounges.

Everybody knows each other's name, they celebrate together, mourn together - a compelling mixture of conviction, compassion and community.

The other day I turned on the TV, a re-run of Cheers appeared, about the eponymous bar in Boston where characters from different backgrounds and perspectives mingle. My toddler asked 'What's that?' I thought better than beginning to explain the concept of a third place. Or drinking. But we're all trying to get somewhere in life. Whether that's to get ahead, or even if it's just away from it all: to a bar or a holiday. So, the frustration of being stationary and sedentary in life when you're supposed to be having upward momentum can be even more challenging than the inconvenience of being up in the air and flying backwards.

But the Christian message is that the destination and the journey are actually inseparable.

Firstly, the church, if small enough, like Cheers, is a place 'where everybody knows your name'. I was recently at a church on a council estate and next to a prison. Everybody knows each other's name, they celebrate together, mourn together - a compelling mixture of conviction, compassion and community. In larger churches, much like most 'third places' you won't know everybody's name, but there is the commonality of having the same destination in mind. The sceptic might say it's simply a ticket to heaven, but the picture the Bible paints of the eternal reality is distinctly mirrored in the week-by-week journey: a liminal place where every people from every tribe and nation gather. It's a place where we can be propelled into the future.

Then there's the cross itself. The gospel writer Luke says that 'Jesus resolutely set out for Jerusalem'. He had his destination in mind. And on the cross there was finality for Jesus. But there was also an onward journey to come. Could it be that what the crucifixion and resurrection of Jesus opens up for us is not just an eternal destiny in the future, but a journey today where keeping company with God is the destination too?

Perhaps that's what entering a church can mean for us today: to cross the threshold into the future, and to know the place for the first time.

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21 June 2024

4 min read

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.