Review
Attention
Culture
Film & TV
Weirdness
5 min read

Ludwig’s clues to the answers we long for

Puzzles preserve a fully realised truth in the clue, and, if we are willing to persevere, we will be rewarded.
Two TV characters, a man and a woman, stand in front of a crossword cover walls of a room.
Anna Maxwell Martin, David Mitchell.
BBC.

The BBC have scored a bingeable hit with new comedy-drama Ludwig, starring David Mitchell as a maladroit puzzle-setter who is roped into a rather fabulous whodunnit. It involves his missing twin, a police detective whom he must impersonate in order to chase the trail of the disappearance.  While on the case he solves a few other conundrums, giving the show many intriguing, if knotty, narrative threads.  

It is not the first-time crossword setting and detective work have gone hand in hand. One of the very first cryptic crossword setters - the ‘grandfather’ of the genre - was Edward Powys Mathers, who also dashed off a mystery thriller, Cain’s Jawbone in 1934. The novel was provided to readers in the wrong order, with the simple but infuriating challenge to reconstruct the right sequence of pages based on maddeningly subtle internal clues. Despite offers of a cash prize, virtually no solutions were submitted.  

Such is the dilemma of a cryptic crossword setter - when is clever too clever? Puzzles can appeal so much to our pride; our desire to be part of an ‘in-group’ which understands the highbrow references to opera, Latin oratory, and cricket slang. Those who can outwit them are part of an elite rank. The Telegraph crossword of 13th January 1942 was used as an exercise to recruit for the ENIGMA codebreaking unit. Indeed, when Mathers all but invented the idea of a fully cryptic crossword in the Saturday Westminster Gazette in 1924, his challenges bore the banner ‘Crosswords for Supermen’.  

There is fundamental connectedness behind the world, and working on the presumption of such a unity allowed him to collect ideas and references from across the globe and throughout all history to form his tricksy clues. 

I’ve often started out on a cryptic crossword, hoping to discover that I am one such genius, only to bitterly give up shortly afterwards, irritated that I don’t have that instant ability to see the solutions. I stare at the riddle, wanting to be one of those people who can naturally recall information, connect ideas, or see what has been hidden in the tortuous clue. Surely the appeal of a show like Ludwig is that it gives us an aspirational glimpse at the peak of human mental prowess, even if Mitchell’s wannabe inspector is a little socially awkward. He still possesses a penetrating gaze that looks through the surface of things, to see what no one else can. He is one of those ‘supermen’ - beholden to no one, able to uniquely see the way things are all by himself.  

And yet, when Edward Powys Mathers died in 1939, he was referred to in his Observer obituary not as a kind of lone snobby genius, but “the gentlest of men… a saint”. It’s appropriate, as crosswords have long been a curiously churchy phenomenon: in the small list of great UK cryptic writers, two have been Anglican priests (Revd John Graham, known as Acaucaria, and Revd Canon A. F. Ritchie, or Afrit). Even Mathers’ fondness for Biblical allusions in his clues “led many to endow him with ecclesiastical rank” as Roger Millington’s book on Crosswords put it. Christian faith, because it is a religion built on the idea that God is with us in flesh, invites us to pay attention to the world around us. The world is not something to escape from, but is rather the place that, in Jesus Christ, God has come to meet us in. It makes you want to understand time, place, and culture, to better understand the God who has spoken through them, and given them meaning and destiny. In reference to this way of seeing things, Mathers was spoken of as a ‘catholic’ thinker in his obituary. This did not mean his church affiliation, but rather an instinct for seeing how everything is part of a greater whole. There is fundamental connectedness behind the world, and working on the presumption of such a unity allowed him to collect ideas and references from across the globe and throughout all history to form his tricksy clues.  

There is also a negative hint in this obituary clue, ‘catholic’. Crossworders work under a nom de plume (David Mitchell’s character John for instance, who goes by ‘Ludwig’). And while Mathers was indeed a generous, open-minded man, he sealed his reputation for difficulty by adopting the pseudonym ‘Torquemada’, in reference to a former Grand Inquisitor of the Spanish Inquisition. So, if Christians are alive to the interconnectedness of all things, we also have a reputation for the institutional guarding of those very mysteries. History shows believers have tortured those who do not come to their idea of what the answer is; indeed, they have set the questions for too long, in the eyes of many hostile to the faith.

Puzzles preserve a fully realised truth in the clue, and, if we are willing to persevere, and learn a new way of seeing, and of paying attention, we will be rewarded. 

But this is the tension that crosswords offer us - a very authentically Christian way to think about the way God spells things out for us which does not rely on a stark binary of ‘true’ or ‘false’. He reveals things like a puzzle; slowly, and cryptically. Some might fairly object to this comparison, on the grounds this would make God too ‘out there’ - far away from the intimate father that Jesus bids us address so familiarly. Does it make God too remote and enigmatic to say he is setting riddles for us? But actually, a puzzle does not deceive us, like a mask does. Puzzles preserve a fully realised truth in the clue, and, if we are willing to persevere, and learn a new way of seeing, and of paying attention, we will be rewarded. The answer is there, reaching out to us, if we only commit ourselves humbly to receiving it. It may cost us much effort and time. It may require us to learn things afresh. But this is part of the joy of trying to see, as St Paul puts it, "the mystery hidden for ages in God, who created all things”.  

Jesus himself spoke in parables, very much like cryptic clues. But this was no elitism, designed to cut out those without the high IQ of David Mitchell’s ‘Ludwig’. Arrogant intellect or love of one’s own status is, for Jesus, just as much a bar to those seeking a solution, because to find the answer requires a certain submission - a discipline - to see things as the puzzle-setter sees them. If we proceed only to do things our way, we remain blind: seeing we do not see, and hearing we do not hear, nor do we understand. 

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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