The zeal of Simon Reeve

Is personal conviction enough to persuade others to change the world?

Steve Dew-Jones

Steve is news director of Article 18, a human rights organisation documenting Christian persecution in Iran.

An enthusiastic hiker stands in front of a view down a valley, smiling and holding his backpack straps.

Simon Reeve on his travels.

It wasn’t until I took my seat in Exeter’s Great Hall the other Friday that I noticed the title of the Simon Reeve show I had bought tickets for over a year prior - “To the Ends of the Earth” - and it was to prove apt.

The seemingly ageless TV presenter was his usual effervescent self as he regaled the audience with stories from some of his journeys to the distant place of the world - the Ends of the Earth.

We were taken from the hottest to the coldest places, the wettest to the driest; and alongside humorous and poignant anecdotes, there was also an almost evangelistic zeal in Reeve’s frequent pleas to “green” our money and time.

“Less screen time, more green time!” he revealed is a Reeve family motto.

And if he could give us one piece of advice, he said, it would be to “green” our pension - ensuring that the money invested goes to good causes that reduce our carbon footprint, rather than, say, to tobacco or oil companies.

It may not make us as much money, he said, but it would do more for the environment and reducing our carbon footprints than never getting onto another plane.

Food for thought.

Although, perhaps surprisingly, Reeve is actually somewhat of an advocate for tourism.

For despite the carbon footprint and potential to tarnish some of the best places on Earth, tourism also provides an important source of income and an economic reason to keep beauty spots special, he explained.

We can ask people as nicely as possible not to cut down trees or to look after wildlife, he said, but if they have an economic incentive, it’s likely to prove more persuasive.

Perhaps my biggest takeaway from the show was the passion with which Reeve spoke about the climate, “Mother Earth”, “Mother Nature”, “the natural world”, and “the spinning rock on which we live” - all phrases that he used.

At times, his language was almost spiritual.

But perhaps another motivator that could spur us on to action could be the knowledge that each of us have been charged by our Maker - another word employed by Reeve - with the responsibility to care for our world.

He talked about time in the great outdoors as being “good for the soul”. He even shared how on a recent visit to Greenland, it had made him - “as someone who is not religious” - consider whether there really might be a Creator, as it seemed as though the huge pool of ice there had been intentionally left there as a warning to the world not to melt it.

And as I reflected later on all I had seen and heard, I wondered whether, without a religious conviction, we may be lacking a persuasive motivation for people to stop destroying our planet ever further.

Humanists may argue that there's a shared humanity to fight for, but if we are just living for this one life, isn’t the most logical course of action to look out only for one’s own immediate interests?

Might we need another incentive, in the way Reeve explained that money can encourage people to look after their local habitats?

I wondered whether Reeve had known when he chose the title of his show that he was quoting the last words of Jesus, when he said his disciples would be his witnesses in Judea, Samaria, and “to the ends of the Earth”.

In the case of lovers of the planet like Reeve, perhaps their witness to the ends of the earth is the message of just how wonderful our planet is - and this is certainly a very valuable message.

It is to be hoped that the many thousands who will have heard Reeve’s message on this tour and on the screen will do their own bit to make our planet a better place.

I certainly find it a motivating factor.

And in spite of all our faults, Reeve said that the real highlight of all his travels has been the people he has met, and this has also always been my experience.

You can find such love in our species, he said - “the best species that there has ever been on our planet” - and I would agree, even if we reached the same conclusion based on a contrasting set of overriding beliefs.

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21 June 2024

4 min read

It's our mistakes that make us human

What we learn distinguishes us from tech.

Silvianne Aspray

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.