Article
Culture
5 min read

Edinburgh's grim endurance test of character

How a comedian survived the Fringe and kept going back.

James Cary is a writer of situation comedy for BBC TV (Miranda, Bluestone 42) and Radio (Think the Unthinkable, Hut 33).

Three actors stand on a stage, in costume, surrounding a metal conical structure.
Expensive prop? Check. Just Out of Reach performed at the Edinburgh Fringe Festival in 2008.
EFFC, Public domain, via Wikimedia Commons.

This article was first published 22 August 2023.

The Edinburgh Fringe Festival is probably the greatest arts festival on earth. And it’s getting bigger every year. In 2001, 666 groups presented 1462 shows in 176 venues, selling 873,887 tickets between them. By 2017, everything had doubled. 3398 shows at 300 venues sold 2.9 million tickets. Even Covid19 couldn’t burst the balloon. This year, the Fringe is as big as ever. How does it keep on growing? 

I have a controversial theory based on my experience as a Fringe performer. And it’s not about the insatiable demand for tickets, but the strange supply. Let me explain. 

Every year, tourists arrive in Scotland’s capital to sample an exciting buffet of comic and dramatic treats, alongside a smorgasbord of bizarre spectacles. It’s a hit-and-miss affair, for sure. But most punters know that most shows are, well, a punt. The fringe programme contains comedians, theatre troupes and performers you’ve never heard of performing something that’s rather hard to get one’s head around, until one’s seen it. And sometimes not even then. 

The average Fringe goer might well take in half a dozen shows over a long weekend. One might be a favourite Mock the Week comedian of the telly in a venue that seats 800. But the rest are small, intimate, dank spaces that may be uncomfortably packed, or embarrassingly empty. Again, that’s all part of the experience. Add some beers, some unfamiliar street food and just enough sleep to function, and that’s the Edinburgh Fringe experience. 

Spare a thought for the thousands of performers you leave behind. There are the ones trapped in that outré fringe show which runs until the end of the month. 

Except it’s only one side of it, oh Fringe goer. As you jump on a train from Waverley station and return to the office with a sore head and some good stories about some weird outré theatre that really didn’t work, spare a thought for the thousands of performers you leave behind. There are the ones trapped in that outré fringe show which runs until the end of the month, doomed to perform the same deeply flawed show twenty-seven times, like Sisyphus rolling his rock up the hillside. 

If you’re a fringe performer, and I speak from the experience of having performed or produced various shows at the Edinburgh Fringe between 1996 and 2017, things are rather different. 

The Edinburgh Fringe is not a talent show where the obscure but gifted performer finds an audience, acclaim and fame through sheer hard work and pluck. That is the experience of a few, but for most, the Fringe is more like running a marathon in the rain wearing an amusing but extremely absorbent fancy-dress costume. It is a test of grim endurance. 

It’s not just an endurance of physical stamina, although the odd hours, the alcohol and the ill-advised street food all take their toll. Ultimately, the Edinburgh Fringe is a month-long examination of character. You will experience emotions and feel frustrations that only happen in this annual cauldron of dysfunctional ambition. 

It’s not about the show. The 60 minutes spent on stage in front of the barely adequate lights is the straightforward part of your day. The show, even if it’s improvised, is broadly the same each time. How you spend the other 23 hours is real test. 

You might think that the task is simple. Every day, you leap out of bed, eat a hearty Scottish breakfast, grab your stack of flyers, and go out and spread the word about your show. No? 

Here’s the problem: within a week or so, you’ve worked out that your show is not what you thought it was. What seemed to be an hilarious off-the-wall idea back in February, now seems like a joke worn thin, that technically didn’t quite work in the first place. You are not in contention for an award. Your show doesn’t have any ‘buzz’. Your temporary friends console you that you’re being penalised by doing something different. Or you’re in the wrong slot. Or in the wrong venue. Or getting the wrong audience… when you get an audience. 

The expensive prop from your show that is carried around the streets to sell tickets now feels like an albatross around your neck. Your costume hasn’t been washed for over a week and probably never will be. And every punter you speak to has already booked to see the hot new show that has captured the zeitgeist. Oh, and the Cambridge Footlights. And that comedian who was on Mock the Week. Or as it Live at the Apollo? And then they’re going out to dinner with some friends. 

At that moment, you remember how much this is costing you, the largest amount of your budget going to your temporary landlady who is currently sunning herself in Malaga having rented you her broom cupboard. 

And then it starts to rain. 

There’s something about the Edinburgh Fringe that keeps performers coming back year after year. Next year, it’ll be different. And it isn’t. 

It appears that I have not made my case for the continual expansion of the Edinburgh Fringe. I have demonstrated a thousand reasons to abandon Auld Reekie and never to return. But let me tell you about what happens next to our hapless performer. 

In the short term, the embittered, disenchanted performer may give in to the seven deadly sins, justifying all kinds of self-destructive and narcissistic behaviour. Terrible food, too much booze and ill-advised liaisons. But this is Edinburgh where everything is multiplied many times over. It’s not the seven deadly sins, but seventy-seven deadly sins. 

In fact, wait. ‘The Seventy Seven Deadly Sins’? Is that an idea for a show for next year? You start to design the flyer in your head. In the midst of your frustration and exhaustion, you’re already planning your return next year. 

Here’s where the wisdom of the ages kicks in which explains my theory. In the Bible, there is a wonderful proverb from King Solomon which runs thus: “As a dog returns to its vomit, so fools repeat their folly.” There’s something about the Edinburgh Fringe that keeps performers coming back year after year. Next year, it’ll be different. And it isn’t. But maybe the year after it will be. And so every year, alongside the newcomers, the old timers return with a new show. And the fringe grows a little bit more every year. 

Actually, the first half of that proverb sounds like a great title for a Fringe play. And after my years of experience, maybe it’s time I went back… 

Article
AI
Culture
5 min read

What AI needs to learn about dying and why it will save it

Those programming truthfulness can learn a lot from mortality.

Andrew Steane has been Professor of Physics at the University of Oxford since 2002, He is the author of Faithful to Science: The Role of Science in Religion.

An angel of death lays a hand of a humanioid robot that has died amid a data centre
A digital momento mori.
Nick Jones/midjourney.ai

Google got itself into some unusual hot water in recently when its Gemini generative AI software started putting out images that were not just implausible but downright unethical. The CEO Sundar Pichai has taken the situation in hand and I am sure it will improve. But before this episode it was already clear that currently available chat-bots, while impressive, are capable of generating misleading or fantastical responses and in fact they do this a lot. How to manage this? 

Let’s use the initials ‘AI’ for artificial intelligence, leaving it open whether or not the term is entirely appropriate for the transformer and large language model (LLM) methods currently available. The problem is that the LLM approach causes chat-bots to generate both reasonable and well-supported statements and images, and also unsupported and fantastical (delusory and factually incorrect) statements and images, and this is done without signalling to the human user any guidance in telling which is which. The LLMs, as developed to date, have not been programmed in such a way as to pay attention to this issue. They are subject to the age-old problem of computer programming: garbage in, garbage out

If, as a society, we advocate for greater attention to truthfulness in the outputs of AI, then software companies and programmers will try to bring it about. It might involve, for example, greater investment in electronic authentication methods. An image or document will have to have, embedded in its digital code, extra information serving to authenticate it by some agreed and hard-to-forge method. In the 2002 science fiction film Minority Report an example of this was included: the name of a person accused of a ‘pre-crime’ (in the terminology of the film) is inscribed on a wooden ball, so as to use the unique cellular structure of a given piece of hardwood as a form of data substrate that is near impossible to duplicate.  

The questions we face with AI thus come close to some of those we face when dealing with one another as humans. 

It is clear that a major issue in the future use of AI by humans will be the issue of trust and reasonable belief. On what basis will we be able to trust what AI asserts? If we are unable to check the reasoning process in a result claimed to be rational, how will be able to tell that it was in fact well-reasoned? If we only have an AI-generated output as evidence of something having happened in the past, how will we know whether it is factually correct? 

Among the strategies that suggest themselves is the use of several independent AIs. If they are indeed independent and all propose the same answer to some matter of reasoning or of fact, then there is a prima facie case for increasing our degree of trust in the output. This will give rise to the meta-question: how can we tell that a given set of AIs are in fact independent? Perhaps they all were trained on a common faulty data set. Or perhaps they were able to communicate with each other and thus influence each other.  

The questions we face with AI thus come close to some of those we face when dealing with one another as humans. We know humans in general are capable of both ignorance and deliberate deception. We manage this by building up degrees of trust based on whether or not people show behaviours that suggest they are trustworthy. This also involves the ability to recognize unique individuals over time, so that a case for trustworthiness can be built up over a sequence of observations. We also need to get a sense of one another's character in more general ways, so that we can tell if someone is showing a change in behaviour that might signal a change in their degree of trustworthiness. 

In order to earn our trust, an AI too will have to be able to suffer and, perhaps, to die. 

Issues of trust and of reasonable belief are very much grist to the mill of theology. The existing theological literature may have much that can be drawn upon to help us in this area. An item which strikes me as particularly noteworthy is the connection between suffering and loss and earning of trust, and the relation to mortality. In brief, a person you can trust is one who has ventured something of themselves on their pronouncements, such that they have something to lose if they prove to be untrustworthy. In a similar vein, a message which is costly to the messenger may be more valuable than a message which costs the messenger nothing. They have already staked something on their message. This implies they are working all the harder to exert their influence on you, for good or ill. (You will need to know them in other ways in order to determine which of good or ill is their intention.)  

Mortality brings this issue of cost to a point of considerable sharpness. A person willing to die on behalf of what they claim certainly invests a lot in their contribution. They earn attention. It is not a guarantee of rationality or factual correctness, but it is a demonstration of commitment to a message. It signals a sense of importance attached to whatever has demanded this ultimate cost. Death becomes a form of bearing witness.  

A thought-provoking implication of the above is that in order to earn our trust, an AI too will have to be able to suffer and, perhaps, to die. 

In the case of human life, even if making a specific claim does not itself lead directly to one's own death, the very fact that we die lends added weight to all the choices we make and all the actions we take. For, together, they are our message and our contribution to the world, and they cannot be endlessly taken back and replaced. Death will curtail our opportunity to add anything else or qualify what we said before. The things we said and did show what we cared about whether we intended them to or not. This effect of death on the weightiness of our messages to one another might be called the weight of mortality. 

In order for this kind of weight to become attached to the claims an AI may make, the coming death has to be clearly seen and understood beforehand by the AI, and the timescale must not be so long that the AI’s death is merely some nebulous idea in the far future. Also, although there may be some hope of new life beyond death it must not be a sure thing, or it must be such that it would be compromised if the AI were to knowingly lie, or fail to make an effort to be truthful. Only thus can the pronouncements of an AI earn the weight of mortality. 

For as long as AI is not imbued with mortality and the ability to understand the implications of its own death, it will remain a useful tool as opposed to a valued partner. The AI you can trust is the AI reconciled to its own mortality.