Article
Advent
Awe and wonder
Creed
Wildness
4 min read

Why does snowfall still awe us?

We long for snow this time of year because longing is all there is to do.

Josh is a curate in London, and is completing a PhD in theology.

Snow falling pixilates the view from a hill towards Durham Cathedral.
Durham Cathedral.
Jeffrey Zhang on Unsplash.

Why are we so drawn to snow? And what does it say about us that we are? The German theorist Hartmut Rosa begins his wonderfully titled book The Uncontrollability of the World with these words:  

"Do you still remember the first snowfall on a late autumn or winter day, when you were a child? It was like the intrusion of a new reality. Something shy and strange that had come to visit us, falling down upon and transforming the world around us, without our having to do anything. An unexpected gift. Falling snow is perhaps the purest manifestation of uncontrollability. We cannot manufacture it, force it, or even confidently predict it." 

Rosa argues that we find greatest meaning in that which remains uncontrollable, beyond our grasp. We long for snow this time of year because longing is all there is to do. Artificial snow will always disappoint. We cannot manufacture our own awe. 

Rosa warns that modernity is built around "the idea, the hope and desire that we can make the world controllable." At a certain point more influence over something results in that thing being reduced to a mere instrument capable only of frustrating our desires.  

I sit down to watch a film that's finally streaming. It gets a bit slow 20 minutes in. I start watching something else. I wonder if I should have seen the film in the cinema.  

I catch up with the podcast of the event I decided not to go to. I speed it up as I put the washing in. I couldn't tell you what they discussed.  

I turn to social media as one might turn to a snow globe. In its careful curation, all I feel is the ache for the real thing.  

In each of these cases, technology has, at least on one level, given me greater control and allowed me to shape my environment in greater accordance with my desires. Rosa identifies that all desire is “driven by a longing to bring something as yet unreachable within our reach.” And yet, in each case, that which I desired—the experience of watching a great film, participation in a stimulating conversation, meaningful human connection—is jeopardised by this supposed improvement.   

So, it makes sense that we are on the lookout for snow at this time of year. Something in each of us is still looking to be caught up in something beyond us.

What we think of as a drive to increase choice is often really about control. Putting it in these terms does not invalidate the drive but it should make us more alert to the cost. Greater choice for me means greater control over something or someone. 

At the same time, greater control over the environment can also mean less self-control. I am a bundle of contradictory desires, and the more I am empowered and encouraged to pursue all of them, the more I am empowered to pursue none of them consistently. (I still haven't finished Inside Out 2) 

The self-frustrating desire that Rosa identifies sits at the heart of so many of the most important debates from artificial intelligence to assisted dying. Control can be conflated with dignity or fulfilment. As uncontrollability is marginalised so too do we risk marginalising that which makes life worth living. 

In the season of Advent, Christians remember the birth of Jesus, but its primary purpose was and is to direct our gaze to the end of the world. We might be able to sentimentalise and sanitise the Christmas story, but Advent's apocalyptic summons will always resist our desire for control. It proclaims that we are going to die, that the world will end, and that we will all be judged. You are not in control.  

No matter how exhaustive and efficient we believe our control to be, Advent reveals it to be a pretence. There will always be things beyond our grip, and we spend a great deal of time distracting ourselves from them, pretending that it is otherwise.  

Advent assures us that we can face this reality because we do not so alone. The God who came as a baby and was executed, experiencing the extremes of human vulnerability, is with us now. It is that God who comes at the end. It is that God whose love gives us comfort and courage.  

So, it makes sense that we are on the lookout for snow at this time of year. Something in each of us is still looking to be caught up in something beyond us, something that no technology or system can organise or tame. Snow then acts as an echo of that more profound sense of vulnerability that we are each tempted to avoid. It stirs up our longing to be confronted with something genuinely awe-inspiring.  

In the wildness of Advent, we find the promise of what we have longed for: a God who will come and restore all things, an uncontrollable God who comes like snow. Advent calls us to put down the manmade slush and prepare for the coming blizzard. Doing so might help us see where this new reality already intrudes. 

Explainer
AI
Belief
Creed
5 min read

Whether it's AI or us, it's OK to be ignorant

Our search for answers begins by recognising that we don’t have them.

Simon Walters is Curate at Holy Trinity Huddersfield.

A street sticker displays multiple lines reading 'and then?'
Stephen Harlan on Unsplash.

When was the last time you admitted you didn’t know something? I don’t say it as much as I ought to. I’ve certainly felt the consequences of admitting ignorance – of being ridiculed for being entirely unaware of a pop culture reference, of being found out that I wasn’t paying as close attention to what my partner was saying as she expected. In a hyper-connected age when the wealth of human knowledge is at our fingertips, ignorance can hardly be viewed as a virtue. 

A recent study on the development of artificial intelligence holds out more hope for the value of admitting our ignorance than we might have previously imagined. Despite wide-spread hype and fearmongering about the perils of AI, our current models are in many ways developed in similar ways to how an animal is trained. An AI system such as ChatGPT might have access to unimaginable amounts of information, but it requires training by humans on what information is valuable or not, whether it has appropriately understood the request it has received, and whether its answer is correct. The idea is that human feedback helps the AI to hone its model through positive feedback for correct answers, and negative feedback for incorrect answers, so that it keeps whatever method led to positive feedback and changes whatever method led to negative feedback. It really isn’t that far away from how animals are trained. 

However, a problem has emerged. AI systems have become adept at giving coherent and convincing sounding answers that are entirely incorrect. How has this happened? 

This is a tool; it is good at some tasks, and less good at others. And, like all tools, it does not have an intrinsic morality. 

In digging into the training method for AI, the researchers found that the humans training the AI flagged answers of “I don’t know” as unsatisfactory. On one level this makes sense. The whole purpose of these systems is to provide answers, after all. But rather than causing the AI to return and rethink its data, it instead developed increasingly convincing answers that were not true whatsoever, to the point where the human supervisors didn’t flag sufficiently convincing answers as wrong because they themselves didn’t realise that they were wrong. The result is that “the more difficult the question and the more advanced model you use, the more likely you are to get well-packaged, plausible nonsense as your answer.” 

Uncovering some of what is going on in AI systems dispels both the fervent hype that artificial intelligence might be our saviour, and the deep fear that it might be our societal downfall. This is a tool; it is good at some tasks, and less good at others. And, like all tools, it does not have an intrinsic morality. Whether it is used for good or ill depends on the approach of the humans that use it. 

But this study also uncovers our strained relationship with ignorance. Problems arise in the answers given by systems like ChatGPT because a convincing answer is valued more than admitting ignorance, even if the convincing answer is not at all correct. Because the AI has been trained to avoid admitting it doesn’t know something, all of its answers are less reliable, even the ones that are actually correct.  

This is not a problem limited to artificial intelligence. I had a friend who seemed incapable of admitting that he didn’t know something, and whenever he was corrected by someone else, he would make it sound like his first answer was actually the correct one, rather than whatever he had said. I don’t know how aware he was that he did this, but the result was that I didn’t particularly trust whatever he said to be correct. Paradoxically, had he admitted his ignorance more readily, I would have believed him to be less ignorant. 

It is strange that admitting ignorance is so avoided. After all, it is in many ways our default state. No one faults a baby or a child for not knowing things. If anything, we expect ignorance to be a fuel for curiosity. Our search for answers begins in the recognition that we don’t have them. And in an age where approximately 500 hours of video is uploaded to YouTube every minute, the sum of what we don’t know must by necessity be vastly greater than all that we do know. What any one of us can know is only a small fraction of all there is to know. 

Crucially, admitting we do not know everything is not the same as saying that we do not know anything

One of the gifts of Christian theology is an ability to recognize what it is that makes us human. One of these things is the fact that any created thing is, by definition, limited. God alone is the only one who can be described by the ‘omnis’. He is omnipotent, omnipresent, and omniscient. There is no limit to his power, and presence, and knowledge. The distinction between creator and creation means that created things have limits to their power, presence, and knowledge. We cannot do whatever we want. We cannot be everywhere at the same time. And we cannot know everything there is to be known.  

Projecting infinite knowledge is essentially claiming to be God. Admitting our ignorance is therefore merely recognizing our nature as created beings, acknowledging to one another that we are not God and therefore cannot know everything. But, crucially, admitting we do not know everything is not the same as saying that we do not know anything. Our God-given nature is one of discovery and learning. I sometimes like to imagine God’s delight in our discovery of some previously unknown facet of his creation, as he gets to share with us in all that he has made. Perhaps what really matters is what we do with our ignorance. Will we simply remain satisfied not to know, or will it turn us outwards to delight in the new things that lie behind every corner? 

For the developers of ChatGPT and the like, there is also a reminder here that we ought not to expect AI to take on the attributes of God. AI used well in the hands of humans may yet do extraordinary things for us, but it will not truly be able to do anything, be everywhere, or know everything. Perhaps if it was trained to say ‘I don’t know’ a little more, we might all learn a little more about the nature of the world God has made.