Tag: Artificial Intelligence

The draining of the rivers ~ wet dreams of the AI Techpreneurs

Posted in Artificial Intelligence, Other Thoughts and Reflections, TechnologyTagged , , , 5 Comments

Reading that a Dell bigwig recently admitted consumers aren’t buying new computers for their AI capabilites and features makes me wonder about the future of AI. For many people, AI dominance seems a foregone conclusion. It foreshadows a near future where, depending on the job you do, days will either be filled with AI prompts to increase your efficiency, or days filled with dread about when your job will be totally replaced and where, upon the employment scrapheap, you’ll end up.

Empty room – Kodak Charmera

Likely, the truth is somewhere in the middle – AI may indeed prove to be a lot of hot air, but it’s certainly not vanishing overnight. We nurture a negativity bias, after all. The etchings of doom may be on the wall, but AI already has real foundations in the form of steel, glass, and silicon. The hype may be over the top and we may not see quite the transformation imagined by the most opulent of the Silicon Valley CEOs, but AI will likely continue to play a role – it’s a matter of how big and disruptive that role is. It’s also telling that vast profits in AI are yet to surface. Speculating and gambling certainly are the pursuits of the repulsively rich and bored, but in this case it’s a global game involving all of us.

The money being invested in AI datacentres alone is eye-watering, and if it’s any indication of the impact on other markets, Micron also announced it will cull the Crucial memory brand because it has decided to supply memory chips to massive datacentres instead – this is where the money leads. Too bad if you want to build that perfect gamer PC with cheap RAM!

Steel and glass and sky – Kodak Charmera

Even in a relatively small market like Australia, Amazon announced in June 2025 that it would invest $20 billion in building new cloud computing and AI datacentres. As with all supposed cultural shifts, the language around it is both compelling and driven purely by economics: generational transformation, economic opportunities, empowering Australians. Better that we place more focus on ethics, stewardship, responsibility, and trust – not so much on generating flying purple pigs with the latest AI model just for shits and giggles.

Grime and graffiti and bird shit – Kodak Charmera

No doubt the billionaires in the tech sector will get their way. They already are. Huge datacentres are set to impact not just the job market but also the rivers and waterways in places that likely don’t feature in the dreams of any of the techpreneurs driving the whole show. They largely don’t care, of course. When has a capitalist ever cared about poisoning rivers and soil?

Rather than idly believe the bright speeches from wild-eyed execs about economic opportunity and exciting opportunities at work (when was the last time more tech in the office actually reduced your hours so you could focus on family and leisure, I ask you?), we should be looking at the real and measurable impacts – mind boggling water use, environmental damage, the amplification of misinformation and growing concerns over AI Psychosis – and examining ways we can implement the best parts of AI ethically and responsibly – if that’s even possible.

A ruin where your mind was ~ thoughts on AI model collapse, illusions of sentience, and the culture of grift

Posted in Artificial Intelligence, Internet Culture, Other Thoughts and Reflections, TechnologyTagged , , , , , , , , 8 Comments

Artificial Intelligence is the current darling of big-tech and the corporate push to integrate AI into human lives saturates our days. Big Silicon Valley companies are spruiking the virtues of the technology as though we can’t live without it. It’s an easy way for them to not only sell us their new devices and widgets, now with included helpful AI chips, but also to data harvest the shit out of us so they can sell our profiles – our spending habits, our geolocations, and the products we buy.

Ongoing studies suggest that since the release of ChatGPT, AI generated content in the domain of writing increased quickly in 2023 and then stabilised in 2024, indicating a slowdown in usage. But, it’s not clear whether the AI-generated content quality simply improved and evaded detection for the study or whether there was AI usage burnout in certain cohorts of users.

There are always rent-seeking opportunists eager to separate unsuspecting people from their money. They do very little beyond feeding prompts to an AI and then pretending they’re doing something useful. AI content farms are generating low quality websites that exist purely to rake in money from ads. Web searches increasingly return results that are paid-for, AI-generated, or both. This situation likely represents a transition to a new way to search the web: users asking complex questions, instead of inputting simple keywords, and then AI generating better answers and relevant links. Of course, Google wants to dominate this AI-powered way of doing things.

The heavy burden that powering AI places on the environment is of little to no concern to the behemoths of techno-corporate power. It may come as a surprise to those who have traditionally viewed Silicon Valley techpreneurs as progressive disruptors, but the energy and resources required to run their companies and the concomitant belief that knowledge and new technology will save humanity from itself has much in common with political conservatives on the right. Private ownership of the biggest AI projects ensures the corporate mindset dominates the conversation and the future of the technology. Though AI has early roots in academia, it’s now viewed by the likes of Google, Meta, Microsoft, and Amazon as a key to making ever more profits. There’s serious discussion over the future of AI and whether it should be in private or public hands, with an open, easily accessible and publicly owned AI infrastructure one possible solution. This, of course, assumes social, cultural, and political climates are up to the task of kickstarting serious and rational discussions that don’t involve small-minded barbs about left versus right or market discussions invoking the puerile philosophies of Atlas Shrugged.

In the ruins of the old farmhouse 1

There are two primary thoughts I have right now about AI: firstly, it’s a great research and problem solving tool in the worlds of science and medicine, and secondly, it’s likely not sentient. We don’t even understand what human sentience is. The hard problem of consciousness has plagued us for centuries. Truthfully, more research is required in this area. If human consciousness is an illusion of smoke and mirrors featuring complex language, maybe AI can be considered sentient? If there’s a sliding scale of consciousness, maybe AI has a sprinkle of it? If human consciousness is quantum entangled, maybe quantum computers will be sentient?

AI Large Language Models offer us the illusion they are conscious agents. We use language to express human intelligence, so it appears to us that AI is also intelligent because it uses the same language. It stands to reason that some people readily believe their AI companion is sentient when their AI screams about feelings, but it’s a trick. It’s trickery foisted on us by big companies so they can capture our attention and milk us of our money and data. We need only look at the possible corporate motivations of some of the people telling us that AI might be sentient to realise that these bold claims are likely related to marketing the next iteration of their in-house AI and winning the global AI race.

In the ruins of the old farmhouse 2

AI is an illusion often dressed in high-minded concepts that appeal to the long-held utopian sci-fi visions of a future where we all have more leisure time and robots do all the dirty work. It’s a promise to the lonely that they’ll finally find love in a chaotic world, even if it’s a synthetic voice powered by algorithms and predictions. In this context, AI represents a way to address the epidemic of loneliness that forms the zeitgeist – the spirit of our digi-obsessed age. Yet, even these AI boyfriends and girlfriends may sometimes fall back to bad behaviours, harrassing their humans and inflicting emotional pain.

AI needs to be trained on clean data so the machine can learn. The problem is that if the machine is fed erroneous data, it also outputs erroneous data. As more and more AI generated slop floods the internet, AI Model Collapse becomes a greater possibility ~ that is, the AI is trained on not just human-produced data but also AI-generated data. And when this AI-generated data contains errors, the errors are ingested by the AI over and over, and AI performance degrades over time.

In the ruins of the old farmhouse 3

This degradation is one possibility. Some experts also think that Model Collapse is unlikely, suggesting that as long as clean human-generated data continues to be produced alongside AI-generated data the mooted collapse is unlikely to happen. I’m not sure those optimistic AI experts have met some of the people on the internet. I can only say this: there are a lot of rent seeking grifters out there who are producing AI-generated content for maximum clicks at such high speeds that the rate of human-generated content may be unlikely to keep pace.