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Sustainability
6 min read

The whole love song of the garden

Listening to a garden and its gardener, high in the Andes, has Anthony Baker recalling an old song.

Anthony is a theology professor at Seminary of the Southwest in Austin, Texas.

A Garden in the heart of the Andes
Image generated by Dan Kim using Midjourney

Saint Augustine taught that whenever we witness a true relationship of harmony forming in the world around us, we hear a new version of the oldest song there is: the music of the Triune God. In the mountains just east of Medellín, Colombia, I met a man whose ear was attuned to this music.  

Fincas of the silleteros 

I was there with my wife, visiting her many aunts and uncles and cousins who had remained in the homeland when her own parents immigrated to the United States. One Saturday when they were off work and out of school, the family said they wanted to show us the fincas de los silleteros, or country estates of the chair-bearers. That sounded confusing enough to pique my curiosity.  

On the winding road out of the city, Stephanie's cousin gave me a brief history of the fincas. The indigenous and mestizo peoples of the region have for countless generations farmed this rich mountain soil, specializing in flowers that, once the Spanish arrived, the farmers would sell at markets in the growing colonial city of Medellín.  

Through the centuries of Spanish imperial presence, a strange and unique tradition developed. The poor inhabitants of the region, mostly but not only the Indigenous peoples, would tie chairs to their backs and carry elderly, wealthy, sick, or pregnant Spaniards through the Andes passes and into the villages and city. A sure-footed peasant could offer a smoother trip than a mule or a cart. The famous linguist and world-traveler Alexander von Humbolt was among the first Europeans to document this practice. 

Moonlighting as silleteros, the local farmers of the region decided their backpack chairs could serve also as baskets when it was time to carry their flowers down to the markets. Properly stacked and carefully transported, they could walk the five or so hours to the market without losing many petals and so have plenty of flowers to sell. They would return to their fincas with chairs full of rice and beans and corn meal and other market goods.  

Listening to the garden 

The history of the region is even more complex than all of that, involving the closing of flower markets, a dramatic protest by the silleteros, and the beginning of Feria de las Flores, Medellín's largest annual festival. 

As we followed Don Fidel, the reigning patriarch of one family of silleteros, I got the feeling that all that richly layered history served as backstory to his primary occupation: caring for his beloved flowers. The festival was tradition, and the tourists like me paid the bills, but Don Fidel's first love was clearly his garden. 

Our guide led us on a meditative walk through the plots, apparently oblivious to the rain that was pelting us with increasing strength by the minute. As we walked, he pointed out to us the various species he nurtured. Geraniums, calla lilies, roses, hydrangeas, and many that I didn’t know the English names for: pascua (or "lovers’ flower"), astromerias (“lily of the Incas”), button de oro, claveles, campanitas, clavellinas

Walking the hillside that his grandparents once farmed, Don Fidel was deeply familiar with the soil, the slopes and waterways, the rhythm of sunlight and shade. He knew where to look on the mountain horizon for rain clouds that might make it to his acreage.  

Because of the way he'd grouped his flowers, he knew that the predatory bugs would be near their prey, and the system would find a balance. 

He even told us some secrets of his garden. He had both personal and ancestral memory of the various species, and knew to group certain communities of flowers together to keep them healthy. He told us that the word "pest" is just a consumerist term for a living thing that threatens economies. In gardens and farms, we tend to eliminate them with chemicals. Don Fidel told us that all those pests lived in his garden as well, but because of the way he'd grouped his flowers, he knew that the predatory bugs would be near their prey, and the system would find a balance. For extreme cases he showed us the simple mixture he made from the flowers themselves that he used to "fog" the garden, much like the pre-Columbian peoples did with toxic tobacco leaves. 

Don Fidel was listening deeply to the music of his garden.  He heard the refrain of the insects and flowers about what it was they most desired. And it wasn't chemical spray. 

The music of sunflowers and bees 

This circular living economy enabled a remarkable new birth within the garden. Toward the end of the tour, when the rain had driven most of the family back onto the wraparound porch of the house, Don Fidel was proud to show my wife and me what he’d learned about his sunflowers.  

The sunflower (girasol: "sun-facer") is a big draw for the shops in the city. Everyone wants the classic, grand, bright yellow flower. The particular variety grown in that region is sterile, modified by many generations of laboratory hybridization.  But the gardener one day noticed something curious about the sterile male flowers he planted. A big group of them bloomed darker, nearly violet, and smaller, with multiple flowers on each stem. Why was this happening? It didn't seem to be disease, so he didn't worry. He just listened for a new melody. 

Soon he found the culprit: honey bees, flourishing in the garden thanks to Don Fidel’s aversion to chemical pesticide. The proximity of the lab-altered flowers to a cousin-species meant that bees could travel naturally from one sort to the next. The cousin was fertile, with both carpel and stamen. When the bees landed on the genetically modified girasoles, they brought the other pollen along with them. Remarkably, this landing changed the genetic makeup of the sunflowers and rendered them fertile once again. It undid generations of artificial selection to bring forth new life and new beauty.   

The music of the triune God 

When Saint Augustine contemplated the Trinity, he said that God is something like a lover and a beloved who find one another. Like a sunflower and its once estranged sexual partner, watching one another across a swath of shorter garden flowers.  

It's a flawed image in many ways, as Augustine himself admits. God does not "begin" as two independent beings, like the two flowers do. We might say that the triune God's image is reflected in the whole love song of the garden, the harmonious melody the organisms make together.  

At the heart of Augustine’s analogy is the observation that two can only become one if a third, a gift, passes back and forth between them. In theology, we call this third character the Holy Spirit. In Don Fidel’s garden, it’s the bees. They land on the faces of the one and the other, transferring the gift of being and life in the pollen clinging to their feet.  

  

Notice also how the three—the sunflower, its distant cousin, and the bee—are also one. The bee owes all that she is to the flowers: her habits, her communicative dance, the hairs on her feet. She is not just a bee looking to gather nectar from separate organisms called flowers. She is a living extension of the flower, the flower’s winged desire for life and fertility.  

The same holds for the flowers: they become what their apian lover asks them to be, in surprising ways that not even the bee, let alone Don Fidel, could have guessed. 

In other words: the love song of two is always a song of three. The lover, the beloved, and the gift of love itself that passes between them and forms a new celebration of their bond.  

This, Augustine says, is the song that God sings from all eternity. And it's the song, remixed a thousand ways, that creatures of earth come to sing.  

Because he kept listening, Don Fidel heard a melody few of us would have noticed. A less curious gardener would have uprooted the “flawed” blooms and replanted the flowers that the shops down the mountain were asking for. As the rain soaked my clothes, I said a prayer of gratitude for his patient curiosity, and for the love that binds the world together. A love whose proper name, according to the theologians, is God. 

 

Article
AI - Artificial Intelligence
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4 min read

It's our mistakes that make us human

What we learn distinguishes us from tech.

Silvianne Aspray is a theologian and postdoctoral fellow at the University of Cambridge.

A man staring at a laptop grimmaces and holds his hands to his head.
Francisco De Legarreta C. on Unsplash.

The distinction between technology and human beings has become blurry: AI seems to be able to listen, answer our questions, even respond to our feelings. It becomes increasingly easy to confuse machines with humans. In this situation, it is increasingly important to ask: What makes us human, in distinction from machines? There are many answers to this question, but for now I would like to focus on just one aspect of what I think is distinctively human: As human beings, we live and learn in time.  

To be human means to be intrinsically temporal. We live in time and are oriented towards a future good. We are learning animals, and our learning is bound up with the taking of time. When we learn to know or to do something, we necessarily make mistakes, and we take practice. But keeping in view something we desire – a future good – we keep going.  

Let’s take the example of language. We acquire language in community over time. Toddlers make all sorts of hilarious mistakes when they first try to talk, and it takes them a long time even to get single words right, let alone to try and form sentences. But they keep trying, and they eventually learn. The same goes with love: Knowing how to love our family or our neighbours near and far is not something we are good at instantly. It is not the sort of learning where you absorb a piece of information and then you ‘get’ it. No, we learn it over time, we imitate others, we practice and even when we have learned, in the abstract, what it is to be loving, we keep getting it wrong. 

This, too, is part of what it means to be human: to make mistakes. Not the sort of mistakes machines make, when they classify some information wrongly, for instance, but the very human mistake of falling short of your own ideal. Of striving towards something you desire – happiness, in the broadest of terms – and yet falling short, in your actions, of that very goal. But there’s another very human thing right here: Human beings can also change. They – we – can have a change of heart, be transformed, and at some point in time, actually start to do the right thing – even against all the odds. Statistics of past behaviours, do not always correctly predict future outcomes. Part of being human means that we can be transformed.  

Transformation sometimes comes suddenly, when an overwhelming, awe-inspiring experience changes somebody’s life as by a bolt of lightning. Much more commonly, though, such transformation takes time. Through taking up small practices, we can form new habits, gradually acquire virtue, and do the right thing more often than not. This is so human: We are anything but perfect. As Christians would say: We have a tendency to entangle ourselves in the mess of sin and guilt. But we also bear the image of the Holy One who made us, and by the grace and favour of that One, we are not forever stuck in the mess. We are redeemed: are given the strength to keep trying, despite the mistakes we make, and given the grace to acquire virtue and become better people over time. All of this to say that being human means to live in time, and to learn in time. 

So, this is a real difference between human beings and machines: Human beings can, and do strive toward a future good. 

Now compare this to the most complex of machines. We say that AI is able to “learn”. But what does it mean to learn, for AI? Machine learning is usually categorized into supervised learning, unsupervised and self-supervised learning. Supervised learning means that a model is trained for a specific task based on correctly labelled data. For instance, if a model is to predict whether a mammogram image contains a cancerous tumour, it is given many example images which are correctly classed as ‘contains cancer’ or ‘does not contain cancer’. That way, it is “taught” to recognise cancer in unlabelled mammograms. Unsupervised learning is different. Here, the system looks for patterns in the dataset it is given. It clusters and groups data without relying on predefined labels. Self-supervised learning uses both methods: Here, the system uses parts of the data itself as a kind of label – such as, for instance, predicting the upper half of an image from its lower half, or the next word in a given text. This is the predominant paradigm for how contemporary large-scale AI models “learn”.  

In each case, AI’s learning is necessarily based on data sets. Learning happens with reference to pre-given data, and in that sense with reference to the past. It may look like such models can consider the future, and have future goals, but only insofar as they have picked up patterns in past data, which they use to predict future patterns – as if the future was nothing but a repetition of the past.  

So this is a real difference between human beings and machines: Human beings can, and do strive toward a future good. Machines, by contrast, are always oriented towards the past of the data that was fed to them. Human beings are intrinsically temporal beings, whereas machines are defined by temporality only in a very limited sense: it takes time to upload data, and for the data to be processed, for instance. Time, for machines, is nothing but an extension of the past, whereas for human beings, it is an invitation to and the possibility for being transformed for the sake of a future good. We, human beings, are intrinsically temporal, living in time towards a future good – which machines do not.  

In the face of new technologies we need a sharpened sense for the strange and awe-inspiring species that is the human race, and cultivate a new sense of wonder about humanity itself.