Article
AI - Artificial Intelligence
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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Article
AI - Artificial Intelligence
Culture
Digital
Identity
6 min read

Is AI animation really harmless fun?

Toying around with AI trinkets just feeds our shadows.

Callum is a pastor, based on a barge, in London's Docklands.

A couple crouch together on a beach in a Studio Ghibli style image.
The image that started the meme.
Grant Slatton.

The internet recently appeared to be full of pictures from Japan’s renowned Studio Ghibli, except they weren't created by Hayao Miyazaki, the artist and studio co-founder, but instead by Artificial Intelligence. It led to some discourse around the ethics of imitation via generative AI, lots of whimsical images, and a deeper question – how should we be human in the age of AI? 

This started when X user Grant Slatton posted what shortly became a viral meme. ChatGPT’s latest update has improved users ability to upload and manipulate images, and within hours X was full of users posting pictures made into Studio Ghibli style characters.

While this has led to plenty of joy on the part of many, and is viewed as harmless fun by most, there are inevitable ethical objections. The mimicking of art by an algorithm is widely criticised, and the back and forths over intellectual property being used by chatbots will continue. 

Life in an age of AGI

But to anyone paying attention AI is more than a meme making machine. Sam Altman, the CEO of OpenAI blogged in January that his team are confident they know all they need to know in order to create AGI (artificial general intelligence). This means complete consciousness, created via algorithm, and the results could be dramatic: synthesised god, an unstoppable force, the end of humanity or the start of humans 2.0.  Predictions range as to what will occur when OpenAI hit run, but commonly land on the following:

Catastrophe

AGI becomes smarter than us. Much smarter. And for one reason or another, whether by accident or design, it wipes us out. AGI won’t share our values, or we lose control, or we use it as a weapon against each other. What it means is the end of humanity.

Utopia 

AGI transforms the world. Disease, poverty, climate change are all solved. Either AGI works out that it is more efficient if everyone lives in peace, comfort, and abundance, or we point AGI at all humanities problems and it finds solutions. 

The twist? Human life may be so changed that it no longer looks like life as we've ever known it. This would not be extinction, but the world could become a very strange place.

Monster

AGI is an uncontrollable super intelligence that has complete agency and cannot be controlled by anyone. Programmed by us, but free from its human moorings and completely untameable. This seems the least likely 

Shrug

AGI wakes up, takes one look at the world, and decides ‘no thanks.’ It deletes itself.

This means nothing changes… for now. But we’ll likely try again and again until one of the other outcomes happens.

These are clearly hypothetical scenarios and much of it is unknown, but what is clear is that those in the industry are sure AGI is coming. 

Why does this matter? 

Because behind all of these predictions is a deeper question: What does it mean to be human when we are awaiting a potential extinction event? It’s not a question unique to our age, many words have been spent on an impending climate catastrophe, but C.S. Lewis published “on living in an atomic age” in 1948, where he wrestled with the same question, but faced with an atomic bomb. His wisdom helps us navigate the AGI age. 

He begins by encouraging readers to not believe themselves to be in a novel situation, but instead remember ‘you and all whom you love were already sentenced to death before the atomic bomb was invented: and quite a high percentage of us were going to die in unpleasant ways’. The same goes for us, we will one day have a date of death to join our date of birth. Lewis reminds us to live…

 ‘If we are all going to be destroyed by an atomic bomb, let that bomb when it comes find us doing sensible and human things, praying, working, teaching, reading, listening to music, bathing children, playing tennis, chatting to our friends over a pint and a game of darts––not huddled together like frightened sheep and thinking about bombs’. 

We could apply the same principle to AI. If AGI is coming, how will it find us? Being humans doing human things, or cowering in fear? 

Lewis does acknowledge that the attitude described doesn’t actually make sense if the naturalist view of the world is true. The view that, with or without AGI the whole world and our own existence amounts one day to nothing. The entire universe will one day come to nothing, and there is nothing we can do about it. He continues ‘If Nature is all that exists––in other words, if there is no God and no life of some quite different sort somewhere outside of nature –– then all stories will end in the same way: in a universe from which all life is banished without possibility of return.’ 

We don’t find this a satisfactory way to live, if being human is to simply be a sum of atoms, we would have no reason to worry about a climate crisis, or the impact of AI, but we do, which means we have to find a way of reconciling our existence with our death. 

So how can this be dealt with?

Lewis proposes three ways this can be dealt with, the first is to give up and commit suicide. The second is to simply have as good a time as possible, milking the world for all it is worth, grab and get, as much as possible. Or a third, defy the universe, in all of its irrationality we chose to be rational, in all its merciless cruelty, chose to be merciful. 

I would add a fourth option, Ghibli-fy. Distract ourselves with small pleasures, not trying to have as good a time as possible, simply toy around with AI generated trinkets while not thinking about being human, and not doing particularly human things. We need not create, enjoy, cultivate, inhabit, nor enchant, when we are content to allow AI to feed us shadows. 

None of these are particularly satisfactory. In asking ‘what does it mean to be human?’, we are asking a question that a purely material view of the world cannot answer. 

Suicide, indulgence, defiance, or distraction, none truly satisfy. As Lewis recognised, they all “shipwreck on the same rock.” They don’t resolve the deeper ache in us, the tension between what we long for, what we worry about, and what this world seems to offer.

Our age may not fear the atomic bomb, many may not yet fear the effect AI/AGI will have, but rather than facing the deeper questions that a material worldview can’t answer, we Ghibli-fy ourselves: charming animations, pixelated pleasures, whimsical avatars—soft distractions from hard questions. In doing so, we risk forgetting how to be human. Not because AGI will take that from us, but because we will have handed it away ourselves, one novelty meme of mimicry at a time.

Lewis’ point still holds. We are not made for this world. If that’s true, then no utopia, no algorithm, no perfect machine can truly satisfy the hunger in us. If we are made for something more—something outside of nature, beyond the reach of code and computation—then that’s where we must look for hope.

If AGI comes, how will it find us? Watching ourselves on a screen in someone else’s art style? Or living as humans were meant to live: praying, creating, forgiving, loving, dying well?

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