Article
Attention
Change
Character
Digital
5 min read

“I’m just not good at staying in touch”

Rather than make excuses, be honest.

Iona is a PhD candidate at the University of Aberdeen, studying how we can understand truth. 

A woman holds her phone up in her hands and looks at it in a slightly vexed way.
David Suarez on Unsplash

This is an article about honesty… but we’ll get to that.  

I cannot count the number of times I have heard some variation of the phrase “I’m sorry, I’m just not very good at staying in touch” or “I’m just terrible at texting, sorry”. Usually, such apologies are accompanied by a shrug of the shoulders, a helpless smile, sometimes even a hint of smugness. Every time I experience such an interaction, I get a little closer to losing my patience. So, it’s probably safer for everyone if I voice my thoughts in this way, safely tucked away behind a screen.  

What’s going on here? I believe it’s quite simple: dishonesty. Now, I don’t wish to unjustly accuse anyone of lying, much less assume ill intent. I’m sure everyone who has ever said that to me has believed it to be true. But, as we will see, that’s part of the problem.  

Nobody is naturally ‘good at staying in touch’. Nobody is naturally ‘good’ at texting. These aren’t ‘natural’ forms of communication, or even ‘natural’ relationships. We have the opportunities now to meet and form connections with SO many more people than our forebears did. It is impossible to build, let alone maintain close friendships with everyone we meet. Relationships take work and effort, even with people we see regularly. So, what’s the problem with saying “I’m not very good at texting”? Isn’t it a normal, reasonable thing to say?  

The problem is that it is used as an excuse. Just because something is hard or does not come naturally does not mean we can’t do it. We do hard things all the time, if we feel they are important and worth our effort. Doing the dishes doesn’t come naturally to me and I hate doing it. Still, I don’t invite friends over for dinner and then tell them, “Sorry, I’ve made food, but you’ll have to eat it out of the pot because I’m just not very good at doing the dishes”. I value my friends (and my health) so I do the flipping dishes. I’m not as on top of it as other people but I have found ways of helping myself to do a task I ‘naturally’ struggle with.  

But back to the matter in hand: I believe that the aforementioned excuses are dishonest because finding texting hard is not actually the reason we don’t stay in touch with some people. What these phrases are hiding is “making the effort to stay in touch with you is not worth my time”. Now, obviously, most of us would never dream of saying anything quite so mean. But if we are honest with ourselves and look at our lives more closely, I do think that’s what it boils down to. Simply putting a nicer sounding lie in front of that does not make it any better.  

So how do we get out of this? The answer is simple but not easy: honesty. Be honest. With yourself, above all else. Ask yourself, truly, “Why am I bad at staying in touch?” Are you trying to stay in touch with too many people at once? Is it a time management problem? Is it an attention problem? Do you simply forget someone exists if you don’t see them? It’s ok if that is the case. Just be honest about it. Once you have correctly identified what is making it hard you can decide whether you want to find ways to make those hurdles smaller, or whether you are simply going to be more honest in future. You don’t have to directly tell someone “You aren’t worth my time” (in fact, I’d strongly recommend not doing that). You can say something like “I find that maintaining (close) friendships at distance is particularly hard for me, so I focus on friends who are geographically close to me”. Or something similar. Be honest about the reason you find staying in touch hard.  

If you are frustrated with how ‘bad you are at texting’, here are some ideas for how to make it easier on yourself. You might think about adding one or two of these to your routine at the beginning of this new year, perhaps.  

If the problem is busyness or object permanence, set reminders and/or have ‘reply-amnesties’ where you reply to the texts from the week/fortnight/month. Some apps allow you to pin chats that are important to the top of your page, so you always see them when you open the app. Or, alternatively, you can archive those you don’t need so there’s less clutter. If the problem is the medium, texting feels impersonal, you don’t like having to be constantly ‘online’, or you live in a cave on a desert island, you can find other ways. Could you arrange (regular) calls? If you’ve recently won the lottery, you could send a letter by snail mail. Whether it’s voice notes, video updates, group calls, online board games, or Netflix watch parties, the possibilities are near endless.  

One more thing: set expectations. Rather than simply telling people what you can’t do, tell them what they can expect. “Yes, I would like to stay ‘in touch’, but I prioritise the people who are geographically close to me.” “I won’t frequently reply to texts, but I do a reply amnesty every couple of weeks, so you’ll hear from me then.” If you do want to ‘be better at staying in touch’, let people know how they can help you. Maybe you struggle to initiate conversations but you’re happy to reply. Maybe you’re in a position to be able to say, “You can come visit me any time” or even “I’ll be in touch when I’m in the area and we can get together over a hot beverage or a meal.”  

Just BE HONEST. Please.  

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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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Seen & Unseen is free for everyone and is made possible through the generosity of our amazing community of supporters.

If you’re enjoying Seen & Unseen, would you consider making a gift towards our work?

Alongside other benefits (book discounts etc.), you’ll receive an extra fortnightly email from me sharing what I’m reading and my reflections on the ideas that are shaping our times.

Graham Tomlin

Editor-in-Chief