The challenge of filling your blank page or keeping it empty

The start of a sabbatical sets Ian Hamlin thinking through the tension between contemplation and action.

Ian Hamlin

Ian Hamlin has been the minister of a Baptist church since 1994. He previously worked in financial services.

A notebook is open at two blank pages. a pen rests across the page.s.

Photo by Mike Tinnion on Unsplash

The famed anxiety inducing nemesis of any writer or creative, the ever-daunting blank page. Well, I’ve bought myself a new notebook, so I have a literal open page in front of me, but also something more.

I’m starting a three-month sabbatical from my role as a Baptist minister. Stepping down from my day-to-day responsibilities of work, but also, to a degree, away from the basic structures that define my life; the people, purpose and rhythm of, not only what I do, but who I am. It’s a weird sort of job like that.

What would you do with three months off? From work, family commitments, whatever it is that defines your day to day ordinarily? Well, buy a notebook, obviously, but after that?

I’m conscious, of course, that this is a rare privilege, a consequence, I guess, of the strange link between a professionalised clergy and academia from days past, but also, a recognition of the all-encompassing nature of the role. Maybe, because of that, it’s also a real challenge, a true ‘blank page’.

The first instinct, I guess, is to take a break, to stop, to breathe. That’s undeniably good, but how long for? Is that it? At what point does stopping and breathing become lazy indulgence? I’ve been reading quite a lot lately, perhaps subconsciously preparing for these months, about taking time out, resting, slowing down. Often, these thoughts have been expressed as an exploration of the notion of ‘Sabbath’ that Judeo-Christian notion of keeping a period of time, a day a week, special, sacred even. This, of course, is the route from which ‘sabbaticals’ have grown, not so much the ivory towers and quadrangles after all, but more the Hebrew prophets and itinerant Jewish preachers of ancient days, seeking to find the rhythms of a fulfilled life There’s John Mark Comer’s ubiquitous The Ruthless Elimination of Hurry, which seems to have touched a cultural nerve, but also Ruth Haley Barton’s Invitation to Solitude and Silence. Then, out of the blue, I was invited to reflect again on Walter Brueggemann’s sense of Sabbath as:

‘the refusal to let one’s life be defined by production and consumption, and the endless pursuit of private well-being’.

He also observed that, recognizing just how we, like multiple generations before us, each in their own way, are utterly enmeshed in systems and structures designed, not so much for our well-being but rather the benefit of others,

‘the departure into restfulness is both urgent and difficult, for our motors are set to run at brick-making speed.’

(A reference to one of those earliest structures, highlighted in the Bible, where Egypt’s Pharaoh had Hebrew slaves building ever larger structures, to assuage their growing thoughts of freedom.)

Most recently of all, I’ve been struck, by following Pete Grieg’s pilgrimage walk from Iona to Lindisfarne, and the passing comment that the original Celtic monks, in making the same journey, eschewed the offer of horses to ride, preferring to walk, fearing that the increased pace of travel might cause them to miss something.

I’m sure I’ve missed lots, I’m convinced I’m caught up in a whole range of hectic, consumerist structures, and I’m often tired, so rest, gets a big tick from me. At least I think it does, but barely do I sit down, and I’m feeling restless again. How long can/should I keep this up? There are so many things to do, opportunities to explore, people to please. I need to justify this privilege of time and space.

His speaking, his marching, his campaigning and protesting, even his sitting, was driven with a passion and an urgency that was infectious, and effective.

And then there’s that ever-present sense within me, my natural instinct if you will, true, I’m sure, of many. That I like the idea of contemplation, the need for it even, but, actually, I’m more driven by activism, by getting stuff done. The focal point of my whole break, planned for quite a while now, is a trip to the USA to follow the life of one of my spiritual heroes, Rev. Dr. Martin Luther King. Now, there’s an activist if ever there was one. His speaking, his marching, his campaigning and protesting, even his sitting, was driven with a passion and an urgency that was infectious, and effective. His consistent rage against injustice has been a call to arms, both to his immediate contemporaries, and generations subsequently, to get up, go out and do. Ultimately, of course, he poured out his whole life in the cause. It’s taking me an age to read a few preparatory biographies of him, stimulated as I am from every page, challenged to act, to never let injustice rule while I have voice and agency.

So, there we have it, another paradox, in the complicated business of being the person I’m meant to be, realizing the best of God’s investment in me. The conflict between rest and exploration, being and doing, contemplation and activism. I imagine we are all drawn to a certain place on that spectrum.

Blank pages, freed up days and diaries, only serve to underline what we already are. But, I suspect, we can all also hear the call to either end of the range; to be stirred to action by the things that break the heart of God, and to lay down our burdens, take upon ourselves the easier yoke, and live increasingly in ‘the unforced rhythms of grace’. Maybe, to start with at least, listening to that call, recognizing the tension, while not allowing it to create pressure in us, is enough. Hearing, praying, scribbling my first, semi coherent, thoughts on that vast empty page, making myself another coffee, and wondering what I might do next.

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AI - Artificial Intelligence

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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.