Review
AI
Character
Culture
Film & TV
4 min read

The utter humanity of Wallace and Gromit

Choices in front of and behind the camera tame technology.
A still from a claymantion film shows three characters, Wallace, Gromit and a robot garden gnome marching out a garden shed.
AI: here to help.
Aardman Animations.

In 1993, Aardman Animations released Wallace & Gromit: The Wrong Trousers. It follows hapless inventor Wallace and his long-suffering dog Gromit as they rent out their spare room to a penguin, Feathers McGraw, who is subsequently revealed to be a master criminal, narrowly pipping Anthony Hopkins’ Hannibal Lecter and Javier Bardem’s Anton Chigurh to the title of cinema’s most sinister villain. (Trust me: you will never look at a red rubber glove the same way after The Wrong Trousers). 

At the film’s climax, perpetual good-boy Gromit chases McGraw through the house via a series of increasingly convoluted model railway tracks, even as he has to build the very tracks he’s riding on. There is a strong argument to be made that it is best scene in cinematic history.  

Fast forward to Christmas, 2024, and Wallace and Gromit: Vengeance Most Fowl is shown on BBC One on Christmas Day. It tells the story of Feathers McGraw – who has lost none of his quiet menace – plotting revenge on the eponymous duo, this time by taking over a series of technologically advanced garden gnomes Wallace has invented.  

While nothing in Vengeance Most Fowl tops the train chase from The Wrong Trousers – indeed, how can one improve on perfection? – it is another magnificent addition to the Wallace and Gromit oeuvre.  

Moreover, it is a remarkably prescient tale about the dangers of technology, and the beauty of humanity. It is the perfect antidote to much of modern cinema and almost single-handedly restored by faith in film as an artistic medium. Vengeance Most Fowl is such a success because it oozes humanity in every single frame. However, this humanity appears most clearly in three distinct ways.  

First, in its story. The inciting MacGuffin of Vengeance Most Fowl is the new garden gnomes Wallace has concocted. Feathers McGraw takes control of Wallace’s gnomes by hacking into its software and switching it from ‘good’ mode to 'evil’ mode. (Like everything in life, this is a joke The Simpsons got to first: in 1992’s “Treehouse of Horror III,” Homer accidently buys Bart a Krusty the Clown doll accidently set to ‘evil’ mode rather than ‘good’ mode.) 

Vengeance Most Fowl offers a more nuanced take on technology than most. It’s neither straightforwardly good nor straightforwardly bad; it depends entirely on the user. We see the benefits of the gnomes as they help people with their gardening. But put them in the hands of the wrong person – or penguin – and they become tools for evil. Vengeance Most Fowl is not an anti-technology film, then, but is realistic about the fact that some humans – and, indeed, penguins – will inevitably seek to use technology for nefarious ends. 

Second, in its voice acting. Vengeance Most Fowl is the first Wallace & Gromit film released following the death of long-standing Wallace voice actor Peter Sallis. It is genuinely remarkable, then, that no AI was used by Aardman to replicate his voice. Instead, this is left to Ben Whitehead and the results are certainly worth it. 

Where many film studios or production companies would have used technology to offer a ‘fake’ Sallis performance – think Peter Cushing in Rogue One: A Star Wars Story, for example, or even the use of AI to reconstruct John Lennon’s voice for the lost Beatles single “Now and Then” – Aardman did not. Instead, they made a very conscious decision to have Whitehead offer a deeply human performance as Wallace. When (SPOILER ALERT) at the end of the film Wallace tells Gromit that he can live without inventing, but he can’t live without his dog, the emotional pay-off is so genuine because it is real. Because it is a thoroughly human moment. 

Third, in its cinematography. Claymation is a medium only adopted by artists who hate themselves. That’s the only reason I can think for making an entire film using such a slow, tedious process. It is also a deeply human art form. It is the result of tens of thousands of hours of painstaking and repetitive work. It is yet another conscious choice by the team at Aardman to create something that is thoroughly and unmistakably human. 

All of this, I think, says something about how Wallace & Gromit manages to feel like such a breath of fresh air. It has not been committee-d to death, or market research-ed into beige-ness. It is full of stupid little jokes (like Gromit reading Virginia Woof) and localised references (“Yorkshire Border: Keep Out!” followed by “Lancashire Border: No, Your Keep Out!”).  

The cost of making Wallace & Gromit films is too costly for them to be cheap, mass-produced disappointments churned out at an increasing rate of knots. They are lovingly hand-crafted works of art and, given the current state of much cinema and TV, they are nothing short of minor miracles.  

Wallace & Gromit is an utterly human series of films. It isn’t perfect. And that’s what makes it perfect. 

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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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If you’re enjoying Seen & Unseen, would you consider making a gift towards our work?

Alongside other benefits (book discounts etc.), you’ll receive an extra fortnightly email from me sharing what I’m reading and my reflections on the ideas that are shaping our times.

Graham Tomlin

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