Review
Community
Culture
Music
4 min read

Oasis: If feuding brothers can get together again, maybe the country can too

Some might say Liam and Noel Gallagher’s reunion is reminiscent of Joseph, Prince of Egypt.

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

Two middle age rock star brothers pose for the camera in a black and white picture
Any dream will do.
Liamgallagher.com.
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There’s a man with a black rainhat and jacket on the stage swearing at over 50,000 teenagers. It’s Liam Gallagher, the lead singer of Oasis, that iconic 90s rock band. He’s singing his way through the entire Definitely Maybe album to mark the 30-year anniversary of its release. Somehow, these 50,000 teenagers know all the words, as they sing along on a warm summer evening for their rite of passage that is the Reading Festival.  

I feel strangely alone in the crowd. I remember where I was when the album was first released - nobody around me was even born then. On the stage, Liam too is strangely alone. For 15 years he’s been estranged from his brother Noel – the song-writing genius behind all of Oasis’ greatest hits. He’s in a reflective mood as he sings ‘Live Forever’: 

“Maybe I will never be, all the things that Ii want to be, now is not the time to cry, now’s the time to find out why”

(Live Forever) 

This lyric has aged well. Back when Liam was 21 years old, about to be biggest band in the world, about to see their album become the fastest selling debut album of all time, he wasn’t seriously considering the question.  

Back then, fame didn’t seem to suit him. He famously ditched a huge US tour with the band, when he was about to board the plane from Heathrow. He stubbornly refused to go on stage for the MTV unplugged concert at the Royal Festival Hall despite a packed-out audience and a full orchestra on the stage. Maybe it was youth. Maybe it was anxiety. Maybe it was some illegal substance. 

Even now, at Reading, with rumours rife of a reunion tour, Liam seems a little vulnerable. He delivers a brilliant vocal performance to a huge crowd, but his hat covers most of his face for the entire concert. He mentions that he had thought the young people getting their GCSEs might have let their academic excellence go to their heads, but they turned out to be “alright” after all. And then, with more swearing, more swaggering guitar chords and more defiant sneering vocals, there comes more vulnerability:  

Their song brought the country together in a pledge of hope. While terrible things are going on around us in our world, we need all the togetherness and hope we can get.

“All this confusion, nothings the same to me, I can’t tell you the way I feel, because the way I feel is oh so new to me”

(Columbia) 

Liam dedicates “Half a World Away” to his brother Noel, and then the promise of something more… “27/08/2024 8am” is revealed on the huge screen. Is there going to be more to the Oasis story? Could the feuding brothers have buried the hatchet?  Have they listened to their own lyric – don’t look back in anger – and decided to drop the bitterness and animosity and find a new way forward? 

I wonder how the reconciliation happened. I like to imagine it was like Joseph, Prince of Egypt and wearer of coat-of-many-colours, finding himself face-to-face with the brother who tried to murder him all those years earlier, and privately breaking down in tears before declaring “God meant it for good”.  

I like to imagine it was like Joseph’s father Jacob, Patriarch of Israel and hot-headed runaway, returning to his twin brother Esau after two decades of separation, praying he would be received favourably, and overwhelmed when his prayer was answered. 
 
‘Some might say’, excuse the pun, that the timing of this impossible reconciliation is less to do with making peace and more to do with making money. The Gallagher brothers have both been through costly divorces. Perhaps they have seen the appetite for megatours as demonstrated by Taylor Swift’s Era’s extravaganza.  

A few days later there is controversy brewing around dynamic pricing which is adding to the rumours of extortionate profiteering. Presale tickets initially range from £73 to £205, with standing tickets priced around £150. Then resale prices skyrocket, with some tickets listed for as much as £6,000—approximately 40 times the original price. It remains uncertain how much of these profits Oasis directly receives. 
 
And then there is the timing. Next year the ownership of the Oasis back-catalogue reverts back to Noel. Only a few months ago Queen sold the rights to their back-catalogue to Sony Music in a record-breaking $1.27 billion, surpassing previous deals such as Bruce Springsteen's sale for $500 million. A sell-out tour will go a long way to upping the value of the Oasis catalogue.  

Whatever the motivations, whoever is profiting, and however genuine the reconciliation, the reforming of Oasis, in my eyes, is a great moment for our country.  I’ll never forget the woman who spontaneously sang “Don’t Look Back in Anger” after the minute’s silence to remember the 22 Ariana Grande fans killed at the Manchester Arena terrorist attack in 2017. While Noel and Liam were still feuding, their song brought the country together in a pledge of hope. While terrible things are going on around us in our world, we need all the togetherness and hope we can get.  

Article
AI - Artificial Intelligence
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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