Sing, pray, manifest: what’s the difference?

Song, success and the search for someone who loves.

Jamie Mulvaney

Jamie is Associate Minister at Holy Trinity Clapham, London.

A colourful graphic overlay of praying hands over a band playing.

Coldplay.com

No one should be surprised when Coldplay release a song called 'We Pray'. Yes, the band's back catalogue is already peppered with references to the divine, but prayer in song is remarkably unremarkable.

Just do a quick search on Spotify: Coldplay are hardly alone. In recent years our purveyors of prayer have notably also included HAIM and Elda Good. Go a little further back: Leonard Cohen, even Take That and Duke Ellington. Which song do you immediately think of when I mention Bon Jovi? And who could forget Madonna, Dionne Warwick or Andrea Bocelli with Katharine McPhee. Prayer makes good music sales.

A recent poll by Skylight showed that 61 per cent of Americans pray. And, 9 in 10 of those believed they'd received an answer to prayer in the past year. If prayers and songs are both places for us to process emotion, then the genre overlap is hardly surprising.

But when you think about it, these songs at their essence sing about a spiritual practice. The spirituality is sometimes overt, and sometimes prayer is useful as a device for something else (Nick Cave's immortal line: 'I don't believe in an interventionist God / But I know, darling, that you do…'), but whichever way you slice it, we sing about prayer because prayer is one of our deepest instincts. We get meta about our metaphysics because the divide between the sacred and the secular simply isn't there. 43 per cent of respondents to this recent survey were almost as likely to pray in nature as they were in a house of worship (46 per cent). We pray for all manner of reasons, which is the premise of Coldplay's song, why 'we pray'.

This instinct seems to have also birthed the song itself. ''We Pray sort of wrote itself like some of the good songs do,' Chris Martin recently revealed. 'In Taiwan, in the middle of the night, I woke up and the song was in my head, and I don't know where it came from. So, the sound of it sort of dictated itself and that's all. I just sort of followed the road map that it said.'

The ambiguity of the song's origins also matches the huge scope within the song for the listener to interpret as they wish. Coldplay have fascinatingly added a 'blank verse' version online where people can ad lib their own prayers within the song. This is not unlike the practice of many 'charismatic' worship leaders, providing a space for deeply personal expressions of prayer within a corporate religious experience. And whether you're at Glastonbury or alone with you and your AirPods in the park, the offer is not only to connect with a higher power, but to reflect on why you're doing so at the same time.

What if the power instead resides not in the person praying, nor in the prayer itself, but in the recipient of the prayer?

We may not all have the musical genius of Martin, but many of us similarly profess an innate desire to pray, regardless of religious beliefs. Studies come and go showing that praying can also have emotional benefits.

So, the question arises: is there power in prayer? If the power is in the act itself, then it's on par with manifesting.

The act, and thoughts of manifesting may have the same motivations as prayer for many, but it can be argued that manifesting is not in the same category as prayer. Much like The Secret or The Power of Positive Thinking, manifesting the latest new age trend where your mind achieves your aspirations: you can simply manifest that new job, relationship, or Ferrari. But the practice has its limitations, and its critics. Vox's senior correspondent Rebecca Jennings reports that 'Overestimating the power of one’s thoughts, which is a symptom of OCD among many other disorders, 'could be very dangerous to people who already have anxiety disorders, but potentially, it might even be enough to start those symptoms happening in someone who originally doesn’t', according to cognitive neuroscientist Rhiannon Jones.

I recently spoke to a couple of women in their early 20s who'd just returned from a manifesting conference. Manifesting may have the same motivations as prayer for many, but it can be argued that manifesting is not in the same category as prayer, even though this hugely popular practice could be understood as a secular form of piety, potentially rivalling that of the devout. But what if the power instead resides not in the person praying, nor in the prayer itself, but in the recipient of the prayer? Martin hints that the prayer itself is not the power. He sings 'Only by his grace', and 'for someone to come and show me the way.'

Simply searching on Spotify with the keyword 'pray' is only the tip of the iceberg for prayerful songs. Many of them don't include the word, yet still meditate on prayer. For instance, U2 sang 'I waited patiently for the Lord, he inclined and heard my cry' - a reworking of King David's Psalm 40 where he is lifted out of the miry pit. The psalm's final verse begins 'But as for me, I am poor and needy; may the Lord think of me.' This is not so much a song of spiritual practice, but desperation. It can be hard even to pray when you're stuck in a rut. And in his helplessness, David finds that there is someone who fills his mind with thoughts about him.

I've recently sat with people who've in some form of prayer thanked God, the universe, even the day itself. The blank space is there. The space is for us to fill. But what if we are not praying into the void? Because far and above any personal experience or benefit of prayer, the ordinariness of prayer is really quite extraordinary: We pray. Someone is listening.

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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.