Article
Creed
Easter
5 min read

The compassion of Easter's tears

There’s complexity and beauty behind crying.
A stone statue's face depicts a falling tear.
Ohlsdorf Cemetery, Hamburg.
Marek Studzinski on Unsplash.

The great English metaphysical playboy poet, John Donne, became Dean of St. Paul’s Cathedral in 1621. During Lent a year later he preached a majestic sermon entitled ‘To speake of Tears’. I first read it 30 years ago and it has prodded and challenged me ever since. This hyper-bright poet and reformed Lothario brought to the pulpit all his astonishing rhetorical skill, and a deep learning, combined with an overriding sense of God’s mercy and the wonder of new beginnings. His sermons were as thick as treacle and as rich as chocolate mousse, but built on a profound religious sympathy and a pastor’s ear for the yearnings of his listeners. 

In his 1622 sermon, Donne highlights the different kinds of tears shed by Jesus in the last weeks of his life.  

He speaks of Jesus’ ‘humane tears’ - tears he shed alongside Mary and Martha at the grave of his dear friend Lazarus - so surprising, Donne suggests, that the scholars charged with the chapter and verse divisions of the New Testament stopped in wonder at the two words ‘Jesus wept’ and made it a complete (and the shortest) verse in the Bible. 

He speaks of Jesus’ ‘prophetic tears’ on Palm Sunday, as Jesus looks down over the city of Jerusalem, foreseeing the people’s rejection of God and the judgement that would come upon this city he loved. These tears are again surprising - Jesus had been borne into the city on the excited adulation of the crowds - so why does he weep? 

Donne speaks of Jesus’ ‘pontifical’ or ‘sacrificial tears’ on the Cross - forsaken, despairing tears, encapsulated in Jesus’ agonisingly seizing a line of dereliction from the Psalms and hurling it at the dark sky - ‘My God, my God, why have you forsaken me?’  

Donne was hardly the first theologian to wonder at these tears. But he is compelling in separating them out, wondering how different they are, and plotting the complexity of Jesus becoming a Man of Sorrows, for people who know so much sorrow. And he has the pastor’s touch as well as the preacher’s flourish to help us understand that we see ourselves most clearly through the tears of Jesus, or as C.S. Lewis would put it in the Problem of Pain, ‘the tears of God are the meaning of history.’ 

Tears, like snowflakes, are unique. Donne started to tease them apart 400 years ago, and we can see this even more clearly today, though it is always a challenge to do so because of the emotional intensity and maelstrom they spring from. 

We now know there are physically three kinds of tears; basal tears, which lubricate the eye, irritant tears, which flush out bugs or specks of dirt and emotional tears, agreed by most to be unique to humans (though newborn babies don’t normally cry tears for the first month or more). Rose-Lynn Fisher poignantly deepened this understanding of different kinds of tears in her ground-breaking work on The Topography of Tears. As an artist, she captured some of her own tears and placed them on a microscope slide. She then took close-up pictures of the tears with a digital microscopy camera mounted on a 1960’s Zeiss standard light microscope; 

‘The microscope provided the means to examine my tears and visually evoke the unseen realm of my emotions.’ 

She discovered that no two tears look the same, much as another hero of mine, Snowflake Bentley, had discovered, using a similar method in a frostier setting, the same is true for snowflakes. Tears of grief, even if shed at the same time, are all uniquely different; each one subtly changed by air temperature, and the proteins, minerals, hormones, antibodies and enzymes in an individual tear. 

This knowledge brings a new weight to Jesus’ searching question to Mary on Easter morning - ‘Woman, why are you crying?’ These tears that I’m shedding, today, what kind of tears are these? Angry, grieving, frustrated, fearful? Fisher gives astonishing names to her close-ups of tears - ‘Compassion’, ‘Tears of Change’, ‘Overwhelm’, ‘Redemption.’ And it opens up the question of what tears am I not shedding? If there are so many different kinds of tears, are there some I am avoiding, or closing my heart to? 

Richard Rohr has just published a long-awaited book on the Minor Prophets called The Tears of Things. I cannot possibly summarise it here, but Rohr includes an argument for the necessity of tears to soften our anger and outrage, the defining emotions of our age. He charts the prophet’s journey from outrage at the lawlessness of the world, through tears for the greed and cruelty of the world, to a settled but fiercer love and mercy. The prophetic tears of Jesus - tears of love, not for ourselves, but an expression of compassion for others - are the ultimate expression of this. This is a compelling vision - I would prefer the people who mould our world to be less shouty and angry, and more tearful and compassionate, people who live near enough to the pain of others to have cried with them and for them before making a plan. 

The Psalms offer us a second discipline for our tears. As well as knowing them, that is understanding them, naming them, placing them, we can sow them: 

‘Those who sow in tears 

Will reap with songs of joy.’ 

This is an ancient invitation to give weight to our tears. To take them to God, to share them with others, and not just to see them as a way to get things of our chest.  

Our human tears can deepen our sense of frailty and dependence on others and God. 

Our prophetic tears can invigorate our fight for justice and peace, without destroying our spirit or making us worse than the people we criticise. 

Our forsaken tears, the ones shed quietly, without hope, without even the hope that God sees them, can prepare the way for God’s new beginnings. 

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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.