I believe in breadboards: cutting through the meaning of belief

A turn of phrase leads Andrew Steane to consider what we say and what we really mean when we say we believe in something.

Andrew Steane

Andrew Steane has been Professor of Physics at the University of Oxford since 2002, He is the author of Faithful to Science: The Role of Science in Religion.

bread a piece of cutlery rest on a breadboard

Photo by Caio Pezzo on Unsplash.

On holiday with my family around Easter this year, we rented a small cottage and went self-catering. This is a lovely way to enjoy a week, heartily recommended by me, at least.

As anyone who has done it will know, one of the standard experiences of the holiday house is the search of the kitchen for the items you need at mealtime. This year I was looking for a breadboard. You know: a flat wooden board on which to cut a loaf of bread. There did not appear to be one. But there were two marble boards which were plainly cutting boards. I then made a remark to my dear companion and wife Emma, I said,

“I think maybe the owners don’t believe in breadboards”.

This turn of phrase came quite naturally to me. It is a way of speaking that has been common in England for a long time, though it is less prevalent now. As I say, this way of speaking has a long history and it is not about abstract questions of existence. It is about practical questions of usefulness. If someone says:

“I believe in breadboards”

it does not mean

“there is some doubt as to the reality of breadboards, but I think they are real.”

What it means is:

“I think breadboards are useful; I think they help; they are a Good Thing.”

If someone says:

“I don’t believe in breadboards”

it means:

“I don’t think we need breadboards; they don’t help; we can cut bread another way.”

I am interested in this way of speaking because I am interested in what is going on when Christians recite, as many do, the summary statements called creeds, which mostly begin with the phrase “I (or we) believe in God, the Father almighty, creator …”.

I’ll come back to that in a moment. Before I do, let’s note some other ways in which the phrase “believe in” can be used. Sometimes someone may ask “do you believe in ghosts?” The question arises because ghost stories are strange and hard to verify and the very notion of a ghost is questionable, so the question is asking “do you think there is in fact any such thing as a ghost?” It is asking, “are ghosts real?”

And there are other contexts in which statements about belief might be made. Suppose a group of soldiers is cut off after an advance by opposing troops, and they are in doubt as to the way back to their own front line. Maybe the captain is advocating a choice which seems wrong to the private soldiers. They might debate among themselves. In this case, when putting into words his judgement on the matter, a soldier might find himself using the phrase, “I believe in the captain”, or, as the case may be, “I don’t believe in the captain.” Again, it is not a statement about whether there is a captain; it is a statement about whether trust in this particular captain is well-placed.

Now imagine a more homely scenario which has played out in many a household over the years. A daughter is telling her parents about her boyfriend. Perhaps the parents are not quite sure about this young man. They do not know him as well as their daughter does. They want to trust her judgement, but they are hesitating. Is our dear child perhaps a little blinded by infatuation?

What might the daughter say to explain how she feels? Having happily listed the boyfriend’s other good qualities, she might choose to add, “and he believes in me.” What does she mean by that? Is it that there is some doubt as to whether she exists, but the young man thinks she does? Of course not. What she means is that she feels that her friend knows her well enough to see her as she really is, and he affirms what he sees. He affirms that she has something to offer; she herself and not some other person or some other version who is not truly her.

There is a related experience which I have had many times with Emma. When faced with a decision about raising small children (what time should they go to bed? When can they go out on their own? etc.) I have often had the great boon of being able to say to myself “I believe in Emma.” What it means is, I think she has a lot of wisdom and good judgement on this issue, so I don’t need to agonise on it for too long; she has very likely already found a good answer.

Belief is much talked about in life more generally of course. There is the notion (quite dubious I think) that if you “believe” then you can realise whatever hopes and dreams you may have. Sometimes people speak of “belief” when what they really mean is hope. I won’t go into all these usages. The main point of this article is to say that if, in the context of a Christian gathering, you are invited to join in and recite a creed beginning with the phrase “We believe in God” then you do not need to make it function as an abstract statement about reality and existence, the way the question about ghosts functions. This is because “We believe in God” can function much better as a statement about practical helpfulness, like the statement about breadboards.

We Christians believe in God the way we believe in breadboards. We believe in God the way we believe in the good judgement of a close companion. It means we think our life as a community will go better if we pay the right kind of attention to our ultimate context, and the values and possibilities which are held there. We do not use the word “God” to refer to an airy being who might not exist. The word is, rather, a short (arguably too short) way to direct our attention. Our attention is drawn to those aspects of reality which can rightly and properly command the loyalty of a good and wise person. We don’t pretend to completely know what those aspects are. But we want to learn. Our gatherings and our creeds help us to acknowledge and embrace this ultimate context more fully.

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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.