Beyond AI

Generative AI tools have dramatically increased content production but not quality, creating noise and clutter while straining systems of review and trust. The technology's ecological cost is catastrophic amid climate chaos, and its deployment risks deepening centralization and extraction rather than strengthening human creativity and open participation.

AI is changing the scale of content creation, but not raising the quality. Generative AI tools have lowered the barrier to producing average books, apps, music, legal documents, academic papers and endless streams of text. The result is a massive increase in output, but what happens when production grows faster than our ability to filter, discuss, trust, maintain and give meaning to what is produced? More books, but more noise, more apps, but more clutter, more papers, but more pressure on systems of review, more music, but a harder struggle to recognise human creativity and care. The dotcons https://hamishcampbell.com/tag/dotcons/ logic says – more content = more value – were the openweb https://hamishcampbell.com/tag/openweb/ lesson is different, value comes from communities, trust, context and care. The challenge is not creating more things, the challenge is building better commons around the things we create. The AI question is bigger than the technology, as the current wave of generative AI GenAI https://hamishcampbell.com/tag/genai/ is presented by our fashionistas https://hamishcampbell.com/tag/fashionistas/ and there servants as inevitable. The message is everywhere to adapt, adopt, integrate, or be left behind. But technology is never neutral, every tool carries assumptions about who benefits, who controls it, what values it embeds and what damage is accepted as the “price of progress”. From an OMN https://hamishcampbell.com/tag/omn/ perspective, the question is not simply “Can this technology do impressive things?” Of course, it can. The real question is “What kind of society does this technology build?” Does it strengthen human creativity, collective intelligence and open participation? Or does it deepen the existing dotcons https://hamishcampbell.com/tag/dotcons/ path of centralisation, extraction, dependency and enclosure? This is the wider openweb https://hamishcampbell.com/tag/openweb/ question we should be focusing on. Large language models LLM https://hamishcampbell.com/tag/llm/ and generative AI systems represent a real technical development. They can summarise information, translate languages, generate text, assist coding and help people interact with large amounts of information. These are useful capabilities, but the hype jumps from assistance to much larger claims – That AI will replace expertise – That it will solve social problems – That it will transform education and science – That it will create a better future automatically. The problem is that current AI systems do not understand the world, they generate patterns based on huge amounts of training data. They do not know truth from falsehood, meaning from appearance, or ethics from probability. A convincing answer is not the same thing as understanding. The missing social layer in our narrow conversations is that the openweb https://hamishcampbell.com/tag/openweb/ was built around a different idea, that knowledge comes from people, from communities, discussion, correction, disagreement and shared responsibility. This is where the geekproblem https://hamishcampbell.com/tag/geekproblem/ appears – the tendency to confuse technical capability with social wisdom – the technical question becomes “Can we build it?” the social question “Should we?” often disappears. A better search algorithm does not automatically create a healthier information system, a faster way to generate content does not automatically create better knowledge. More automation does not automatically create more freedom. The missing piece is the culture around the technology, as technology without social responsibility becomes a tool for whoever already has power. This is not even touching on that the ecological cost of scale is a catastrophe in the era of climatechaos https://hamishcampbell.com/tag/climatechaos/ and social backdown. The current AI boom depends on enormous infrastructure, huge amounts of electricity, water for cooling, specialised hardware with constant replacement cycles leading to the large-scale resource extraction. At a time of climatechaos https://hamishcampbell.com/tag/climatechaos/ , we should question whether endless expansion is the only possible future. The dotcons https://hamishcampbell.com/tag/dotcons/ model has always worked through scale, more users, more data, more infrastructure and more dependency. Generative AI is arriving inside the same economic system that created the catastrophic problems it claims to solve. Then we have the open internet problem, the openweb https://hamishcampbell.com/tag/openweb/ was built around participation, people created 4opens websites, communities, documentation, software and culture. GenAI introduces a different path, that the internet becomes raw material, this human creativity becomes training data. Communities produce knowledge, while large companies extract and monetise it. This creates a dangerous cycle were there is less support for creators → less motivation to create → less genuine knowledge → more dependence on generated content. Its KISS https://hamishcampbell.com/tag/kiss/ to understand that healthy commons cannot survive if everything is extracted and nothing is returned. The Fediverse https://hamishcampbell.com/tag/fediverse/ and the question of growth, a few years ago there was a feeling that the Fediverse https://hamishcampbell.com/tag/fediverse/ development culture was running on leftovers. Social movements arrived in waves, and many feared that more waves was moving into mainstreaming https://hamishcampbell.com/tag/mainstreaming/ . Since then, the Fediverse has grown, with more people knowing about decentralised social media, more organisations paying attention. Ideas that once lived mostly in activist and technical circles have moved closer to wider adoption. But growth always creates a question – What happens when a movement becomes successful enough that the surrounding culture starts changing it? The early openweb https://hamishcampbell.com/tag/openweb/ was built around different assumptions – People have agency – Communities shape their own spaces – Experimentation matters more than optimisation – Trust matters more than control and Commons matter more than platforms. Mainstreaming https://hamishcampbell.com/tag/mainstreaming/ brings pressures, these are not automatically bad. But there is a danger that the technology scales while the culture that created it gets diluted. Federation is a technical idea. Living commons is a social one, the challenge remains – now do we grow without losing the roots? The narrow lesson from FOSS https://hamishcampbell.com/tag/foss/ – it is one of the greatest successes of the openweb https://hamishcampbell.com/tag/openweb/ era. Without it there would be no Linux, no Apache, no Firefox, no Wikipedia-scale infrastructure and no Fediverse ecosystem as we know it. It has created extraordinary shared value, but success should not stop us asking difficult questions. The question is not whether FOSS works, the question is – Who does it work for? Where does it struggle? What social lessons can we learn? One recurring problem is the idea that open source is simply a marketplace of independent individuals. When building the future we actually want – The question is not whether we use AI, more It’s whether we allow the same old dotcons https://hamishcampbell.com/tag/dotcons/ logic to shape every new technology. The future depends on whether tools strengthen human networks or replace them. Whether they support commons or enclosure, whether they increase agency or dependency. But what we are seeing is that the tools we need most are often the first things stressed, messy and elitist systems try to defund, discredit and dismantle. Why? Because they require uncertainty, require questioning assumptions, require admitting complexity. Those are not weaknesses, they are survival tools. Keep this in mind on native openweb https://hamishcampbell.com/tag/openweb/ paths.