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
Culture
Generosity
Psychology
Virtues
5 min read

AI will never codify the unruly instructions that make us human

The many exceptions to the rules are what make us human.
A desperate man wearing 18th century clothes holds candlesticks
Jean Valjean and the candlesticks, in Les Misérables.

On average, students with surnames beginning in the letters A-E get higher grades than those who come later in the alphabet. Good looking people get more favourable divorce settlements through the courts, and higher payouts for damages. Tall people are more likely to get promoted than their shorter colleagues, and judges give out harsher sentences just before lunch. It is clear that human judgement is problematically biased – sometimes with significant consequences. 

But imagine you were on the receiving end of such treatment, and wanted to appeal your overly harsh sentence, your unfair court settlement or your punitive essay grade: is Artificial Intelligence the answer? Is AI intelligent enough to review the evidence, consider the rules, ignore human vagaries, and issue an impartial, more sophisticated outcome?  

In many cases, the short answer is yes. Conveniently, AI can review 50 CVs, conduct 50 “chatbot” style interviews, and identify which candidates best fit the criteria for promotion. But is the short and convenient answer always what we want? In their recent publication, As If Human: Ethics and Artificial Intelligence, Nigel Shadbolt and Roger Hampson discuss research which shows that, if wrongly condemned to be shot by a military court but given one last appeal, most people would prefer to appeal in person to a human judge than have the facts of their case reviewed by an AI computer. Likewise, terminally ill patients indicate a preference for doctor’s opinions over computer calculations on when to withdraw life sustaining treatment, even though a computer has a higher predictive power to judge when someone’s life might be coming to an end. This preference may seem counterintuitive, but apparently the cold impartiality—and at times, the impenetrability—of machine logic might work for promotions, but fails to satisfy the desire for human dignity when it comes to matters of life and death.  

In addition, Shadbolt and Hampson make the point that AI is actually much less intelligent than many of us tend to think. An AI machine can be instructed to apply certain rules to decision making and can apply those rules even in quite complex situations, but the determination of those rules can only happen in one of two ways: either the rules must be invented or predetermined by whoever programmes the machine, or the rules must be observable to a “Large Language Model” AI when it scrapes the internet to observe common and typical aspects of human behaviour.  

The former option, deciding the rules in advance, is by no means straightforward. Humans abide by a complex web of intersecting ethical codes, often slipping seamlessly between utilitarianism (what achieves the most amount of good for the most amount of people?) virtue ethics (what makes me a good person?) and theological or deontological ideas (what does God or wider society expect me to do?) This complexity, as Shadbolt and Hampson observe, means that: 

“Contemporary intellectual discourse has not even the beginnings of an agreed universal basis for notions of good and evil, or right and wrong.”  

The solution might be option two – to ask AI to do a data scrape of human behaviour and use its superior processing power to determine if there actually is some sort of universal basis to our ethical codes, perhaps one that humanity hasn’t noticed yet. For example, you might instruct a large language model AI to find 1,000,000 instances of a particular pro-social act, such as generous giving, and from that to determine a universal set of rules for what counts as generosity. This is an experiment that has not yet been done, probably because it is unlikely to yield satisfactory results. After all, what is real generosity? Isn’t the truly generous person one who makes a generous gesture even when it is not socially appropriate to do so? The rule of real generosity is that it breaks the rules.  

Generosity is not the only human virtue which defies being codified – mercy falls at exactly the same hurdle. AI can never learn to be merciful, because showing mercy involves breaking a rule without having a different rule or sufficient cause to tell it to do so. Stealing is wrong, this is a rule we almost all learn from childhood. But in the famous opening to Les Misérables, Jean Valjean, a destitute convict, steals some silverware from Bishop Myriel who has provided him with hospitality. Valjean is soon caught by the police and faces a lifetime of imprisonment and forced labour for his crime. Yet the Bishop shows him mercy, falsely informing the police that the silverware was a gift and even adding two further candlesticks to the swag. Stealing is, objectively, still wrong, but the rule is temporarily suspended, or superseded, by the bishop’s wholly unruly act of mercy.   

Teaching his followers one day, Jesus stunned the crowd with a catalogue of unruly instructions. He said, “Give to everyone who asks of you,” and “Love your enemies” and “Do good to those who hate you.” The Gospel writers record that the crowd were amazed, astonished, even panicked! These were rules that challenged many assumptions about the “right” way to live – many of the social and religious “rules” of the day. And Jesus modelled this unruly way of life too – actively healing people on the designated day of rest, dining with social outcasts and having contact with those who had “unclean” illnesses such as leprosy. Overall, the message of Jesus was loud and clear, people matter more than rules.  

AI will never understand this, because to an AI people don’t actually exist, only rules exist. Rules can be programmed in manually or extracted from a data scrape, and one rule can be superseded by another rule, but beyond that a rule can never just be illogically or irrationally broken by a machine. Put more simply, AI can show us in a simplistic way what fairness ought to look like and can protect a judge from being punitive just because they are a bit hungry. There are many positive applications to the use of AI in overcoming humanity’s unconscious and illogical biases. But at the end of the day, only a human can look Jean Valjean in the eye and say, “Here, take these candlesticks too.”   

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