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OpinionAI (artificial intelligence)
Here is a nightmare scenario for you. You are writing a book about how AI reshapes reality. You start using it as a research partner, confident that you are applying the right hygiene by not letting it actually write a sentence of the book. You think you’ll be careful, you will double check everything. And then your book comes out and it appears that it includes more than a half dozen misattributed or fake quotes. Steven Rosenbaum, the unfortunate writer, acknowledged that sometimes the output of AI was “staggeringly wrong”, but still, errors crept in.
There are others. A Commonwealth prize-winning short story became engulfed in claims that it carried the hallmarks of AI. And every time I see a story of a journalist caught out by fake AI quotes during research, I cross myself – there but for the grace of God go I. But to make sure it is not left up to grace alone, I never touch the thing. When AI results pop up as the default in a search engine, I reject them, rebuke them, as if they contained a dark sorcery that would through mere engagement creep into my synapses and take control.
This monastic, almost paranoid approach is not only because AI is a risky and unreliable research tool. It is a voice, a tone, a frequency. AI language haunts me in a million similar tinny chants from customer care to social media posts to press releases. I worry even as I write this column that it might sound like AI. That I have somehow through relentless exposure assimilated its blandness and excess. Its short declarative sentences. Its advertorial narration. Its informal mimicry of personhood. Hi there! Hope all is well. I thought you might be interested in a column about AI, an issue that is increasingly occupying thought leaders and writers. Would you like to learn more?
What are we losing in this fire? Writing is not just about rendering thoughts through words in a certain style: analysis, literary fiction, storytelling. It is about the particular alchemy of a single individual drawing on their own unique profile to construct an idea. It is about the way their brain works, the quirks they have picked up along the way, their politics, their history, their relationships, the very way they see the world. You can produce a thousand Dickenses and Rumis through AI, but you can’t create a new iconic writer. You can only draw on the chorus of styles that already exist. You can only derive, never create.
And then there is the atrophy. The loss of the ability to struggle for a word, to craft a verbal image. I could save precious minutes as a deadline approaches and ask AI to cook me up a nice line, or I could linger and conceptualise that resisting AI writing feels like trying not to inhale an airborne virus. It might not be a great simile, but it’s mine goddamit. And it helps me, in writing, to consolidate what I am thinking. Whether it’s a political text or an email, leaning on AI for everything from research to writing severs the connection between feeling and expression. It drains the colour from everything and suffocates one’s ability to channel and meet and be surprised by what is knocking about in your head. When tech becomes about reducing labour in every way, it ends up becoming an inhibitor of actual consciousness. Entirely unsurprising research shows that leaning on LLMs may reduce brain engagement.
Even more depressing is how well suited this cauterisation of the self is to the political moment, one of a glut of content and bad information. AI is rampant on social media, where accounts authoritatively post long texts on everything from the wars in the Middle East to dramatic personal experiences that didn’t happen in a sort of reality fan-fiction. And in politics, where... READ MORE https://www.theguardian.com/commentisfree/2026/jun/01/ai-meaning-humanity-political-moment-trust-humans-over-machines
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| Over recent days, US TikTok users have reported a number of suspicious malfunctions.’ The company’s headquarters in Culver City, California. Photograph: Kayla Bartkowski/Los Angeles Times/Getty Images |
We tend to think of censorship as the direct suppression of speech. We conjure images of mouths taped shut, courts seizing books and films, and journalists or activists thrown in jail to silence their voices. But what if, in a digital era governed by invisible yet highly consequential algorithms, censorship no longer revolved around the ability to speak, but rather around the visibility of content, its effective “reach”?
The launch of TikTok’s new US-specific algorithm underscores the urgency of this risk. This week, control over the platform’s operations has shifted to the TikTok USDS joint venture led by a consortium of investors that includes US big tech firms such as cloud-computing company Oracle, with the Chinese parent company ByteDance retaining a 19.9% stake. This arrangement is presented as a means of complying with US legislation introduced under former president Joe Biden, with the aim of protecting user data and preventing political interference from China. Yet many of TikTok’s 200 million US-based users now fear that Donald Trump and his allies may use algorithmic control to do precisely what China was accused of doing: interfering with political discussion by suppressing voices critical of Trump and his international allies.
Over recent days, US TikTok users have reported a number of suspicious malfunctions: videos covering controversial topics, such as the killing of Alex Pretti by a federal agent remaining under review; newly posted videos recording surprisingly low-view metrics; and allegations that it is impossible to post messages containing keywords such as “Epstein”. Drawing on these denunciations, California’s governor, Gavin Newsom, has called for a review into the TikTok algorithm to determine whether it complies with state law. Further, app store data shows that many users are cancelling the app and downloading alternatives.... READ MORE https://www.theguardian.com/commentisfree/2026/jan/30/tiktok-us-takeover-new-type-of-censorship