Review
Culture
Film & TV
Hospitality
Migration
4 min read

The real hearts of oak

The power of the lens, food and hospitality drive the hope in Ken Loach’s last film. Krish Kandiah reviews The Old Oak.

Krish is a social entrepreneur partnering across civil society, faith communities, government and philanthropy. He founded The Sanctuary Foundation.

A man and a woman sit in a cathedral pew and incline their heads towards each other.
Ebla Mari and Dave Turner play Yara and TJ.
BBC Film.

In the dusty back room of the rather rundown Old Oak pub in County Durham, northeast England there is a faded black and white photo. It shows the very same room packed full of hungry families sharing a community meal together.  Below it is written a sign:  

“When you eat together you stick together.”  

Pub Landlord Tommy Joe Ballantyne explains to young Syrian refugee photographer Yara that the picture was taken by his uncle during the miner’s strike when the community made it a priority to feed each other’s children no matter what.  

This is the pivotal scene in Ken Loach’s latest, and some suggest, final film: The Old Oak. The multi-award-winning director has produced another masterful piece of cinema which, although set in 2016, provides vivid social commentary on our current cost-of-living crisis and our struggling immigration and asylum system.  

By setting the film in an old colliery town facing its own challenges with social deprivation, Loach allows those communities who feel left behind by the rest of the country to raise legitimate concerns about immigration. The film powerfully portrays local people expressing frustration at being used as a dumping ground by government for ex-prisoners while also feeling trapped by unemployment, falling house prices and rising costs. Into this community then arrive refugees fleeing the brutal war in Syria.

The film is not just depicting some sort of Hollywood romantic utopia. It is powerfully celebrating what is happening in communities all around the UK. 

Yara arrives camera in hand, snapping photographs of her family’s arrival on a bus. They are met with hostility from the beginning. We see the conflict through the lens of Yara’s camera - black and white photographs that foreshadow the photos of the miner’s struggle she will later discover on the wall of the pub’s back room. We see another photo – the one Yara’s mother displays pride of place in the lounge – of Yara’s father who is lost in the brutal Syrian prison system. These photographs provide beautiful symbolism throughout the movie signalling the themes of solidarity and resistance.  

We see in the film the power of the camera to change the way that people see their world and view others in the face of hatred. We see the power of food to unite divided communities. We see the power of hospitality in the face of hostility. We see families from both communities caught in impossible situations.  

What this film does most brilliantly, in the rich dialogue which sounds less like a script and more like a fly-on-the-wall documentary, is allow the strongest arguments against refuge and asylum to be raised. Ultimately this dialogue opens the eyes of the two communities, and enables them to discover that they have so much more in common than they might have imagined.  

I have witnessed these eye-opening moments connection myself. I have seen Afghans resettled to hotels find a welcome into a village community through integrated cricket matches. I have seen women with no common language forge friendships over a picnic. I have seen children change from sullen and suspicious to animated and inseparable in minutes with the help of an X-box. I have seen the beer and pub industry offer support and help to Ukrainians. I have seen churches open their doors and their hearts to Muslims from Kosovo and Syria.  The film is not just depicting some sort of Hollywood romantic utopia. It is powerfully celebrating what is happening in communities all around the UK.  

 

The mining community, that once lost jobs, financial stability and heritage, eats alongside the refugee community – those who have now lost their homes 

That dusty pub back room is transformed to the bustling hub of community life once again, as families from different worlds befriend and support each other over shared meals and recognition of their common mortality and humanity. The understanding that both communities have experienced displacement has brought them together.  The mining community, that once lost jobs, financial stability and heritage, eats alongside the refugee community – those who have now lost their homes, their country and their heritage.  

In a beautiful moment of reconciliation in the film, the Syrian families present their new neighbours with a banner made in the style of the traditional mining banners used on gala days – the ones that took pride of place on marches just behind a brass band. The banner is inscribed in both English and Arabic with the words that have drawn the communities together: Strength, Solidarity, Resistance.  

I believe the film, like the banner, offers a rallying cry to those who see it. It helps us understand two of the most marginalised communities in Britain at the moment – the impoverished towns of the North, and the refugees and asylum seekers. It challenges us to find ways to come together with empathy and hospitality. It proffers significant mutually beneficial consequences – love, joy, peace, hope, friendship, forgiveness, reconciliation - when we learn not only to live together, but to share food, time and lives together.  

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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