Article
Culture
Music
Sin
Suffering
5 min read

The holy or the broken: Hallelujah at 40

What’s the magic sauce Leonard Cohen mixed into his masterpiece?
A black and white photo shows, singer Leonard Cohen to the right hand side, eyes closed and head inclined slightly upwards.
Leonard Cohen, 2008
Rama, CC BY-SA 2.0 FR, via Wikimedia Commons

It’s summer 1984 – Richard Branson has just launched Virgin Airways, the Soviet Union have boycotted the Olympic games, the miner’s strike is still raging on, and Footloose is pretty much the only thing you can watch in the cinema.  

Amidst it all, happening miles under the cultural radar, a songwriter of astronomical talent and middling success walks into a pokey studio in New York. He’s clutching a battered notebook which contains eighty verses of a song that he’s been writing and re-writing for multiple years. A song that has been driving him to utter madness, residing tormentedly in his mind. The metre is running in the recording studio, so the eighty verses are promptly whittled down to just four and the song is finally wrestled into existence.  

A barely noticed existence, that is.  

Those four chosen verses, the ones lucky enough to have escaped the confines of the notebook, continue to dwell in obscurity for a while yet. This seemingly cursed song is housed in an album that the record company have refused, claiming it to be of no real commercial value. Subsequently, it will enjoy a tiny release in Canada in December 1984, but nowhere else. It is, to sum up, profoundly ignored.  

Now, let’s fast-forward exactly forty years. 

That obscure, over-looked and under-estimated, little song has been covered by more than three-hundred artists, including Bob Dylan, Jeff Buckley, and Lou Reed. Its lyrics have been dissected and studied by the likes of Bono and Salman Rushdie. It’s a movie soundtrack favourite, a talent show staple, and a part of the furniture at weddings and funerals the world over. Books have been written about it, documentaries made about it. I don’t think it’s a major exaggeration to say that it’s in the cultural air we breathe. 

 A song that once had its maestro banging his head against the floor in frustration, now belongs to us all. Can you hazard a guess at which song this may be the origin story of? I can give you a hint, if you’d like? It goes like this, the fourth, the fifth, the minor falls and the major lifts… 

You’ve got it.  

This humble tale is the story of ‘the baffled king composing Hallelujah’

Generation after generation finds itself notably and profoundly moved by this song. We treasure it, we value it, we let far too many people cover it (looking at you, Justin Timberlake).  

So, I guess I’m wondering - why?  

It’s one of those odd questions to which everyone, and no-one, has the answer. And it’s not that I don’t recognise the outright genius of Leonard Cohen and accredit the success to his mastery, I do. But, apparently, not even Cohen himself fully understood why this song has become such a phenomenon. Its success is an oddity, really. So, we have every right to ask ourselves - what’s the magic sauce that’s mixed into this song?  

Cohen... makes a bee line for the deep stuff, the uncomfortable stuff, the stuff we keep hidden – and plants the word ‘hallelujah’ in there.

It opens with Cohen telling the biblical story of King David, who played the harp so beautifully it had a kind of mystical effect – it supernaturally calmed the spirit of the dangerously erratic Israelite king, Saul. David, who himself would go on to become the ruler of Israel, is the ‘baffled king’ about whom and to whom Cohen appears to sing. As Alan Bright notes, 

‘He (Cohen) has placed us in a time of ancient legend, and peeled back the spiritual power of music and art to reveal the concrete components, reducing even literal musical royalty to the role of simple craftsman.’ 

The second verse mingles two further biblical stories together – that of (afore-mentioned) King David and Bathsheba, and Samson and Delilah. Both stories, both men, are brought to despair by abuses of power, moral failure, violence, and death. Their lives are truly toppled by their own brokenness and their own breaking-things-ness. To borrow a phrase from Francis Spufford, their stories act as a signpost for the ‘human propensity to f*** things up’. 

These verses are so particular in their subject matter yet so universal in their resonance. Most people have a vague-at-best understanding of the biblical stories its lyrics are alluding to, but a precise-to-the-point-of-painful understanding of the way that old ‘human propensity’ can have its way.  

And here is Leonard Cohen, using such despair and brokenness to house a sacred cry. Here’s Leonard Cohen, placing his finger on our vulnerability and telling us that it’s right there – right in the place of pain and shame – where we can engage with the divine. Here’s Leonard Cohen, telling us that if the God of the Bible exists, he can handle the very worst of us.  

This song, whether we know it or not, steels past our defences. It makes a bee-line for the deep stuff, the uncomfortable stuff, the stuff we keep hidden – and it plants the word ‘hallelujah’ in there. It tells us that brokenness is inevitable, but it can be made holy. Isn’t that our deepest desire? To know that we’re not too far gone? To be told that we’ll fail, all the time, but never one time too many? 

I think, if you were to put that message in any context less real and raw, we’d be suspicious of it. If this song was less gritty, it would have stayed ignored. But it’s just messy enough to have us trust it, Cohen just about honest enough for us to believe him when he tells us that he ‘didn’t come to fool’ us.  

So, long may it continue. Long may it sneak past our emotional barricades and wreak havoc in our guarded hearts. Long may the four-minute-long weep-a-thon reign (just, not Justin Timberlake’s version, I beg).  

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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