Article
Culture
Film & TV
Monsters
5 min read

Cartoon villains: who's the real baddie?

What kind of villain do we want?

James is a writer of sit coms for TV and radio.

 A cartoon chase sees a car driven by a cow escaping from a car of baddies under a giant poster of their villainous boss.
Jazz Cow vs. Dr Popp.

“Nobody thinks they’re the bad guy”. That’s a phrase I often use when helping people write situation comedies. It’s always useful to have a strong antagonist who gets in the way of our hero. But the villains tend not to consider themselves to be evil. In fact, they are offended at the suggestion. 

The Batman universe has turned the interesting villain to new levels. The Penguin is Gotham’s latest production, a brand-new TV series on HBO. Colin Farrell plays a highly nuanced anti-hero, exploring The Penguin’s “awkwardness, and his strength, and his villainy, yes, his propensity for violence”. Farrell told Comicbook.com he was attracted to the role because “there's also a heartbroken man inside there you know, which just makes it really tasty.” Audiences are often invited to have sympathy for the devil. Should we be worried about the blurring of the lines between good and evil? 

I’ve been asking myself this question as I’ve been writing a new animation which involves a villain called Dr Popp who is trying to take over a city. But what kind of villain do we want in 2024? 

Jack Nicholson’s portrayal of The Joker back in 1989 feels like pop-culture ancient history. His Joker was an embittered agent of chaos without many redeeming qualities but mercifully lacked the nihilism of later versions. It was an old-fashioned story of cops and robbers which has its own simplistic charm. But have those days gone forever, having been shot in the head and dropped off a bridge into a river? 

The problem is it is so easy to humanise evil. You just give it a human face. The arch-villains of the twentieth century – the Nazi members of the SS – are rather sweet when portrayed by comedians Mitchell and Webb. A nervous member of the SS Unit (Mitchell) waiting for an attack from the Russians looks at the skull on his cap and asks his fellow comrade-in-arms (Webb): “Hans, are we the baddies?” 

Any student of World War Two will know that it’s never as simple as good versus evil. Many terrible things were done by people who felt justified in their behaviour. Moreover, ‘the goodies’ also felt compelled to do morally dubious things – like the bombing of civilians in cities – in order to defeat ‘the baddies. After all, they started it.’ The truth is always far more complicated than the war films suggest. 

Dr Popp is the very worst kind of villain: he has great power and he wants to help. In his own mind, he’s completely clear about his mission. 

Ten years ago, I was researching real life baddies for my sitcom Bluestone 42 about a bomb disposal team set in Afghanistan. At times, I had to think like the Taliban who, in their own minds, were entirely justified in leaving bombs by the side of the road, to be triggered by British soldiers or Afghan children. They were pretty relaxed about the outcome. It’s hard to sympathise with this way of thinking, but it made sense to them. 

My internet search history from that time probably put me on some sort of Home Office watchlist. Maybe a small dossier was started on me. More recently, that dossier would have become thicker as I’ve moved sideways from sitcom into murder mysteries, having recently worked on Death in Paradise and Shakespeare and Hathaway. To work on shows like these, you need to be thinking of good reasons for good people to commit murder. Someone would need a very strong motive to commit a murder on an idyllic Caribbean island where the local detective has a 100 per cent resolution rate. You also need to research ingenuous methods for murdering people in a way that escapes detection. I’m surprised I’ve not yet had a knock on my door, or enquiries made to the neighbours to call a number if they see anything suspicious. 

But what about cartoon villains where nothing is real? The bold colours and the larger-than-life characters might suggest that there is more clarity about goodies and baddies. But there isn’t. Evil villains – that is, villains who realise they are evil – are extremely rare. Skeletor from He-Man and the Masters of the Universe comes to mind. This kind of demonic baddie can be entertaining with wit and charm, like Hades in the Disney movie, Hercules. This character had some brilliant one-liners and was superbly brought to life by the voice of James Woods. Overall, however, purely evil characters are hard to write. 

Cartoon villains need proper motivation. This is either a character flaw or a backstory. In The Lion King, Scar is consumed with envy that his brother is king – and a good one at that. In The Incredibles, Syndrome is playing out his sense of injustice that he was not allowed to be Mr Incredible’s sidekick, Incrediboy. In The Simpsons, Mr Burns is essentially Mr Potter from It’s a Wonderful Life. He’s a Scrooge-type figure who doesn’t care about love and respect. He just wants to own the town. 

The cartoon villain I’ve been thinking about is for a new animation project I’ve been working on called Jazz Cow. The eponymous hero is a saxophone-playing cow and a reluctant Bogart-style leader of a bohemian band of misfits. They are trying resist the advance of the all-consuming algorithm created by Dr Popp, the villain. But what’s his motivation? 

Dr Popp is the very worst kind of villain: he has great power and he wants to help. In his own mind, he’s completely clear about his mission. He’s trying to make the world better, easier, safer, cheaper, more efficient and convenient. Why would anyone want to refuse his technology, reject his software and keep away from his algorithm? 

This is why Dr Popp has to silence Jazz Cow, literally, by stealing his saxophone. He simply cannot allow Jazz Cow to delight audiences at Connie Snott’s with live improvised music. There’s no need for this music! Dr Popp has all the music you could possibly need, want or imagine. Why improvise when we have artificial intelligence? 

Dr Popp is a cartoon villain for today when relativism is still alive and well. ‘Good’ and ‘Evil’ are still concepts or points of view rather than absolutes. However, there is good and evil in Jazz Cow. But the evil doesn’t come from Doctor Popp. It comes from the user or consumer.  That would be us. 

‘The Algorithm’ is always learning and always trying to give us our hearts’ desire. And that’s the problem: our hearts frequently desire that which they cannot – and should not – have. Dr Popp’s algorithm is like a mirror held up to our faces. In it, we see the real baddie: ourselves. Not even Jazz Cow can save us from that. But what this horn-playing cow can do is to make the world a more humane place. 

  

For more information about Jazz Cow, and information on how you can make the show happen, take a look at our Kickstarter – and don’t worry. Jazz Cow would approve, as it’s the creative’s way of sticking IT to the man. 

Article
AI
Attention
Culture
5 min read

Will AI’s attentions amplify or suffocate us?

Keeping attention on the right things has always been a problem.

Mark is a research mathematician who writes on ethics, human identity and the nature of intelligence.

A cute-looking robot with big eyes stares up at the viewer.
Robots - always cuter than AI.
Alex Knight on Unsplash.

Taking inspiration from human attention has made AI vastly more powerful. Can this focus our minds on why attention really matters? 

Artificial intelligence has been developing at a dizzying rate. Chatbots like ChatGPT and Copilot can automate everyday tasks and can effortlessly summarise information. Photorealistic images and videos can be generated from a couple of words and medical AI promises to revolutionise both drug discovery and healthcare. The technology (or at least the hype around it) gives an impression of boundless acceleration. 

So far, 2025 has been the year AI has become a real big-ticket political item. The new Trump administration has promised half a trillion dollars for AI infrastructure and UK prime minister Keir Starmer plans to ‘turbocharge’ AI in the UK. Predictions of our future with this new technology range from doom-laden apocalypse to techno-utopian superabundance. The only certainty is that it will lead to dramatic personal and social change. 

This technological impact feels even more dramatic given the relative simplicity of its components. Huge volumes of text, image and videos are converted into vast arrays of numbers. These grids are then pushed through repeated processes of addition, multiplication and comparison. As more data is fed into this process, the numbers (or weights) in the system are updated and the AI ‘learns’ from the data. With enough data, meaningful relationships between words are internalised and the model becomes capable of generating useful answers to questions. 

So why have these algorithms become so much more powerful over the past few years? One major driver has been to take inspiration from human attention. An ‘attention mechanism’ allows very distant parts of texts or images to be associated together. This means that when processing a passage of conversation in a novel, the system is able to take cues on the mood of the characters from earlier in the chapter. This ability to attend to the broader context of the text has allowed the success of the current wave of ‘large language models’ or ‘generative AI’. In fact, these models with the technical name ‘Transformer’ were developed by removing other features and concentrating only on the attention mechanisms. This was first published in the memorably named ‘Attention is All You Need’ paper written by scientists working at Google in 2017. 

If you’re wondering whether this machine replication of human attention has much to do with the real thing, you might be right to be sceptical. That said, this attention-imitating technology has profound effects on how we attend to the world. On the one hand, it has shown the ability to focus and amplify our attention, but on the other, to distract and suffocate it. 

Attention is a moral act, directed towards care for others.

A radiologist acts with professional care for her patients. Armed with a lifetime of knowledge and expertise, she diligently checks scans for evidence of malignant tumours. Using new AI tools can amplify her expertise and attention. These can automatically detect suspicious patterns in the image including very fine detail that a human eye could miss. These additional pairs of eyes can free her professional attention to other aspects of the scan or other aspects of the job. 

Meanwhile, a government acts with obligations to keep its spending down. It decides to automate welfare claim handling using a “state of the art” AI system. The system flags more claimants as being overpaid than the human employees used to. The politicians and senior bureaucrats congratulate themselves on the system’s efficiency and they resolve to extend it to other types of payments. Meanwhile, hundreds of thousands are being forced to pay non-existent debts. With echoes of the British Post Office Horizon Scandal, the 2017-2020 the Australian Robo-debt scandal was due to flaws in the algorithm used to calculate the debts. To have a properly functioning welfare safety net, there needs to be public scrutiny, and a misplaced deference to machines and algorithms suffocated the attention that was needed.   

These examples illustrate the interplay between AI and our attention, but they also show that human attention has a broader meaning than just being the efficient channelling of information. In both cases, attention is a moral act, directed towards care for others. There are many other ways algorithms interact with our attention – how social media is optimised to keep us scrolling, how chatbots are being touted as a solution to loneliness among the elderly, but also how translation apps help break language barriers. 

Algorithms are not the first thing to get in the way of our attention, and keeping our attention on the right things has always been a problem. One of the best stories about attention and noticing other people is Jesus’ parable of the Good Samaritan. A man lies badly beaten on the side of the road after a robbery. Several respectable people walk past without attending to the man. A stranger stops. His people and the injured man’s people are bitter enemies. Despite this, he generously attends to the wounded stranger. He risks the danger of stopping – perhaps the injured man will attack him? He then tends the man’s wounds and uses his money to pay for an indefinite stay in a hotel. 

This is the true model of attention. Risky, loving “noticing” which is action as much as intellect. A model of attention better than even the best neuroscientist or programmer could come up with, one modelled by God himself. In this story, the stranger, the Good Samaritan, is Jesus, and we all sit wounded and in need of attention. 

But not only this, we are born to imitate the Good Samaritan’s attention to others. Just as we can receive God’s love, we can also attend to the needs of others. This mirrors our relationship to artificial intelligence, just as our AI toys are conduits of our attention, we can be conduits of God’s perfect loving attention. This is what our attention is really for, and if we remember this while being prudent about the dangers of technology, then we might succeed in elevating our attention-inspired tools to make AI an amplifier of real attention. 

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