Article
Culture
Re-enchanting
4 min read

The falcon’s call

Awed by an encounter with a bird of prey high above a Texas river, Anthony Baker ponders both the place and his place.

Anthony is a theology professor at Seminary of the Southwest in Austin, Texas.

A view of a lightly misted valley to mountains in a desert area.
The view from the South Rim of the Big Bend National Park.
National Park Service Digital Image Archives, Public domain, via Wikimedia Commons.

Seeing God in Big Bend

The scream from the sky shattered the quiet calm of my cliffside campsite. I'd never heard such a sound—it was like a large crow had decided to try and quack. I rushed out of my tent, where I'd collapsed after making the seven mile trek up the mountain, to find the source of this alarming noise.

I was up on the rim of Big Bend National Park in southwestern Texas, where I'd come on a solitary backpacking retreat. The "big bend" is the abrupt L-turn of the Rio Grande river, as it changes course from southeast to northeast. At the heart of the park rise the stark and severe Chisos Mountains, and the crown jewel of the Chisos is surely the South Rim. A thousand feet beneath me, a sheer drop from where I've staked my tent, there is a whole other mountain range. And ten miles away to the southeast I could see gorgeously striped limestone ridges across the river in northern Mexico.

It's a place that puts you in the presence of the sublime.  Everett Townsend, the pathfinder responsible for bringing the region under the protection of Franklin Roosevelt's government, was particularly awed by this view. As a biographer put it, the view from the South Rim allowed him to

"see God as he had never seen Him before and so overpoweringly impressed him that he made note of its awesomeness…"

What does it mean, though, to see God in a place? Do I need to be up high and far away, staring into sublime depths? The South Rim gives me the impression that I'm hovering like an eagle over the earth, not standing on it like a human. Why are these the places that we think we sense the divine? 

I'd like to think that seeing God in a place can be just as much about close and near attention as it is about sublime distances. What does God look and sound like here, if I stand on the ground and pay as much attention as I can to what I see and hear around me?

The Falcon's cry

I had no Internet connection on the Rim, so when I heard that bird cry out over my head I tried to burn the sound into a mental audio file. Jumping from my tent, I saw a large predator bird shooting directly above me and out over the cliff's edge. The size and shape—a large flying crossbow—told me that I'd been hailed by a peregrine falcon. A sign near my site told me that the section of the ledge where I was camping—where the South and East Rims meet—is in fact a protected nesting ground for the birds, closing to human trekkers each spring.

The peregrine is the world's fastest animal of any kind. They can dive at 200 miles per hour. That means they can only hunt birds in flight, since if they attacked anything on the ground at that speed they would both wind up, as my Granny would put it, "nothing but a greasy spot on the pavement."

A display down at the park's visitors' center had already filled me in on the near demise of the remarkable bird. DDT, a killing-machine of a pesticide that Rachel Carson called out in her book The Silent Spring in the 60s, triggers an immuno-response in female birds who have ingested it into their bodies. This response limits the calcium they can supply to their eggshells. As a result, the eggs were too vulnerable to predators or simply weather, and the embryos were not surviving.

We gave the Nobel Prize to the scientist who discovered how to use DDT to kill insects. It made so much sense, after World War II, to find ways to kill the pests who were spreading disease among the wounded soldiers and other victims of the war. But we were not yet thinking, in those days, about what else we might be killing. Now we're at least thinking, even while we're still killing.

Sin and redemption on the mountain 

What does the falcon, soaring off the Rim, reveal to me about God? Consider, for instance, the doctrine of sin. Taken as an abstraction, sin is what theologians call the manifold ways that humans can turn from their holy God.  But what if we fill that doctrine in with attentiveness to the story the falcon tells us? Here on the Rim, sin looks like failing to be awed enough by this remarkable life form to notice, until almost too late, that we are killing it. 

Similarly, redemption, in the Christian telling of things, refers to the way that God overcomes sin and restores holy relationship. Here on the rim, redemption looks like a shared grief over the damage we've done. It looks also like the effort to protect this space as a bird sanctuary—literally a "holy place." It looks like a hope that falcon and human, like the bird and its own prey, can find a balance of mutual respect and coexistence.

The warning call of God

When I came down the mountain, I got on the Wi-Fi at the lodge outside the park and went searching for bird calls. I found a match for the sound that I'd heard - that caw-quack of a scream. It was the warning call of a peregrine falcon who has found predators in its nesting grounds. The bird was talking about me! Maybe somewhere in her DNA she recognized me as one of the DDT users that ruined her ancestors' eggshells. Hearing that call, as the bird flew off into sublime depths and distances, I suspect I was hearing about the mystery of life, the damage of sin, and the beauty of redemption. In other words, I was hearing the voice of God.

Article
AI
Attention
Culture
5 min read

Will AI’s attentions amplify or suffocate us?

Keeping attention on the right things has always been a problem.

Mark is a research mathematician who writes on ethics, human identity and the nature of intelligence.

A cute-looking robot with big eyes stares up at the viewer.
Robots - always cuter than AI.
Alex Knight on Unsplash.

Taking inspiration from human attention has made AI vastly more powerful. Can this focus our minds on why attention really matters? 

Artificial intelligence has been developing at a dizzying rate. Chatbots like ChatGPT and Copilot can automate everyday tasks and can effortlessly summarise information. Photorealistic images and videos can be generated from a couple of words and medical AI promises to revolutionise both drug discovery and healthcare. The technology (or at least the hype around it) gives an impression of boundless acceleration. 

So far, 2025 has been the year AI has become a real big-ticket political item. The new Trump administration has promised half a trillion dollars for AI infrastructure and UK prime minister Keir Starmer plans to ‘turbocharge’ AI in the UK. Predictions of our future with this new technology range from doom-laden apocalypse to techno-utopian superabundance. The only certainty is that it will lead to dramatic personal and social change. 

This technological impact feels even more dramatic given the relative simplicity of its components. Huge volumes of text, image and videos are converted into vast arrays of numbers. These grids are then pushed through repeated processes of addition, multiplication and comparison. As more data is fed into this process, the numbers (or weights) in the system are updated and the AI ‘learns’ from the data. With enough data, meaningful relationships between words are internalised and the model becomes capable of generating useful answers to questions. 

So why have these algorithms become so much more powerful over the past few years? One major driver has been to take inspiration from human attention. An ‘attention mechanism’ allows very distant parts of texts or images to be associated together. This means that when processing a passage of conversation in a novel, the system is able to take cues on the mood of the characters from earlier in the chapter. This ability to attend to the broader context of the text has allowed the success of the current wave of ‘large language models’ or ‘generative AI’. In fact, these models with the technical name ‘Transformer’ were developed by removing other features and concentrating only on the attention mechanisms. This was first published in the memorably named ‘Attention is All You Need’ paper written by scientists working at Google in 2017. 

If you’re wondering whether this machine replication of human attention has much to do with the real thing, you might be right to be sceptical. That said, this attention-imitating technology has profound effects on how we attend to the world. On the one hand, it has shown the ability to focus and amplify our attention, but on the other, to distract and suffocate it. 

Attention is a moral act, directed towards care for others.

A radiologist acts with professional care for her patients. Armed with a lifetime of knowledge and expertise, she diligently checks scans for evidence of malignant tumours. Using new AI tools can amplify her expertise and attention. These can automatically detect suspicious patterns in the image including very fine detail that a human eye could miss. These additional pairs of eyes can free her professional attention to other aspects of the scan or other aspects of the job. 

Meanwhile, a government acts with obligations to keep its spending down. It decides to automate welfare claim handling using a “state of the art” AI system. The system flags more claimants as being overpaid than the human employees used to. The politicians and senior bureaucrats congratulate themselves on the system’s efficiency and they resolve to extend it to other types of payments. Meanwhile, hundreds of thousands are being forced to pay non-existent debts. With echoes of the British Post Office Horizon Scandal, the 2017-2020 the Australian Robo-debt scandal was due to flaws in the algorithm used to calculate the debts. To have a properly functioning welfare safety net, there needs to be public scrutiny, and a misplaced deference to machines and algorithms suffocated the attention that was needed.   

These examples illustrate the interplay between AI and our attention, but they also show that human attention has a broader meaning than just being the efficient channelling of information. In both cases, attention is a moral act, directed towards care for others. There are many other ways algorithms interact with our attention – how social media is optimised to keep us scrolling, how chatbots are being touted as a solution to loneliness among the elderly, but also how translation apps help break language barriers. 

Algorithms are not the first thing to get in the way of our attention, and keeping our attention on the right things has always been a problem. One of the best stories about attention and noticing other people is Jesus’ parable of the Good Samaritan. A man lies badly beaten on the side of the road after a robbery. Several respectable people walk past without attending to the man. A stranger stops. His people and the injured man’s people are bitter enemies. Despite this, he generously attends to the wounded stranger. He risks the danger of stopping – perhaps the injured man will attack him? He then tends the man’s wounds and uses his money to pay for an indefinite stay in a hotel. 

This is the true model of attention. Risky, loving “noticing” which is action as much as intellect. A model of attention better than even the best neuroscientist or programmer could come up with, one modelled by God himself. In this story, the stranger, the Good Samaritan, is Jesus, and we all sit wounded and in need of attention. 

But not only this, we are born to imitate the Good Samaritan’s attention to others. Just as we can receive God’s love, we can also attend to the needs of others. This mirrors our relationship to artificial intelligence, just as our AI toys are conduits of our attention, we can be conduits of God’s perfect loving attention. This is what our attention is really for, and if we remember this while being prudent about the dangers of technology, then we might succeed in elevating our attention-inspired tools to make AI an amplifier of real attention. 

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