The technology sector is learning to metabolise its own disorder: turning instability into dependency, and dependency back into revenue.
Tag: AI
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babble
At precisely the moment technology allowed us to express our own thoughts with unprecedented speed, ease, and fluency, people began switching off from the flood of language-model-mediated self-expression that followed.
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technique, technology, tesseract
Many of the largest problems now confronting technologically advanced societies are not failures of engineering, they are consequences of its success.
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Fear of Others
Fear of others is not finally fear of difference, but fear of the gap through which the self discovers it was never solid, never alone, and never entirely its own.
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The Lost Opportunity of Cybernetics
I was a student at the School of Cybernetics. I completed the Master’s in 2022 and began a PhD in 2023, before leaving for reasons of personal health and what I experienced as institutional difficulty accommodating unconventional forms of creative thought. The Master’s was challenging, but much of it was also revision for things I […]
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The Problems a System Can See
Climate breakdown, war, energy insecurity, public health strain, technocratic overreach, automated exclusion, administrative drift, and the industrial circulation of disinformation are usually treated as separate crises, each assigned its own expert language, governance model, technical platform, and emergency response. But the deeper pattern is structural. Large systems do not merely solve problems. They determine which […]
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Short-Circuit
Meaning arises and endures only because experience and symbolic encoding remain out of phase, and when technology collapses that difference into immediacy and semiotic isomorphism, thought and behaviour collapse into preordained reflex, short-circuiting cognitive voltage into volatility, simplicity, and coercive transmissibility, turning language into a direct instrument of behavioural modulation.
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Policing Generative Tool Use
It does not matter whether you write with generative technologies or not. If you have no ideas, no curiosity, no necessity to think, then artificial intelligence will simply amplify the emptiness. It will generate fluent noise, decorative coherence, and nothing else. The result is regurgitated pattern-matching, consumed as novelty and mistaken for intelligence. Most people […]
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Interfacing Reality with LLM
The rise of large language models has revived old questions about intelligence, utility, and personhood, but under altered conditions. From early ideas like the Turing test onward, personhood has been framed less as inner depth than as sufficient performance. What feels newly consequential is that systems designed to model, explain, and assist human experience increasingly […]
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AI: When the Bubble Bursts
Will the technology companies, and their shareholders, absorb responsibility, act with maturity, offer guidance, or exercise restraint. I doubt it. There is no leadership here, only a sustained sprint for more cash. When the AI bubble bursts, expect thousands of reflexive startups to follow. Not to repair damage or learn anything, but to capitalise on […]
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The Sociocognitive Dangers of AI
We are building machines that can talk, draft, diagnose, summarise, and imitate. Each month the interface becomes smoother; each week the latency shrinks. The friction that once shaped our thinking — the tiny deferrals through which thought organises itself — is being polished away. It feels like progress because the response arrives quickly and looks […]
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Limited Language Models
In recent years, large language models have moved along a gradient from research artefacts into everyday infrastructure—search, email, design tools, call centres, legal drafting, medical triage. They operate by predicting the next token in a sequence, trained on vast corpora of text and code. Their fluency comes from compression, not comprehension. They do not possess […]
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