Dr. Marigo Raftopoulos @marigo
Strategic Business Advisor | Technology Researcher and Scholar | Author of ENTANGLEMENT: Navigating Complexity in the Age of Artificial Intelligence | entanglement-ai.com Melbourne, Victoria Joined June 2008-
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The AI backlash is only getting started economist.com/leaders/2026/0…
Will AI Yield Abundance Without Purpose? by Carl Benedikt Frey - Project Syndicate project-syndicate.org/commentary/ai-…
Tech Stocks Are Abruptly Collapsing futurism.com/space/tech-sto…
Is AI ruining our skills? Early results are in — and they’re not good nature.com/articles/d4158…
Is AI ruining our skills? Early results are in — and they’re not good nature.com/articles/d4158…
The Next US Presidential Election Will Be About AI noemamag.com/the-next-us-pr…
The AI ‘Revolution' is Not a People's Revolution | TechPolicy.Press techpolicy.press/the-ai-revolut…
I feel slightly vindicated. For years I warned about Anthropic’s dangerous philosophy and their obsession with "AI safety", which was never just about safety. It was always also about gatekeeping, central planning, and worldwide control over AI. I was criticized for saying this. Now people are finally starting to wake up.
You have noticed it. ChatGPT feels dumber than it used to. Your prompts that worked six months ago produce worse results now. The writing sounds flatter. The ideas sound safer. The internet itself feels like it is shrinking. Every article reads the same. Every email sounds the same. Every answer sounds like it was written by the same voice. You thought it was you. It is not you. Researchers at Oxford and Cambridge published a paper in Nature proving what is happening. They call it Model Collapse. Here is the mechanism in one sentence. AI trained on AI-generated data gets dumber every generation until it forgets what real human data looked like. The internet is filling with AI-generated content. Blog posts. Articles. Reviews. Comments. Social media. AI companies scrape the internet to train the next generation of models. Which means the next generation of AI is being trained on the output of the current generation. Each cycle loses information. Not randomly. It loses the rarest, most unusual, most creative parts first. The researchers call these the "tails of the distribution." The weird ideas. The unexpected perspectives. The things that made the internet feel human. Those disappear first. What remains is the average. The safe. The expected. The bland. Then the next generation trains on that. And loses more. And the next generation trains on that. And loses more. The researchers proved this is not a slow decline. Major degradation happens within just a few iterations. Even when some of the original human data is preserved. They tested it on large language models. On image generators. On statistical models. The pattern was the same every time. The output converges toward a narrow, flattened version of reality that looks nothing like the original data. The lead researcher put it plainly. "Large language models are like fire. A useful tool. But one that pollutes the environment." The pollution is invisible. You cannot see which sentence on the internet was written by a human and which was written by AI. Neither can the AI that is about to train on it. And once the tails are gone, they do not come back. The damage is irreversible. This is not a prediction anymore. It is a diagnosis. The internet you grew up on was built by humans writing things no algorithm would have written. Strange, personal, imperfect, alive. That internet is being diluted. One generation of AI at a time. And the models trained on what remains are learning a smaller and smaller version of the world. Model Collapse is not a technical problem. It is a cultural one. The thing that made the internet worth reading is the thing that disappears first.
This is disgusting behaviour from Google. It is using its monopoly power to try to force creatives to let it train on their work. It is career suicide for artists not to upload to YouTube. Arguing that doing so allows Google to train AI on their videos/music - AI that competes with them - is outrageous. Whatever the Ts & Cs say.
YouTube Terms of Service Allow AI Music Training, Google Says in Copyright Lawsuit billboard.com/pro/google-you…
Landmark German ruling declares Google's AI Overviews are Google's own words and makes it liable for false answers the-decoder.com/landmark-germa…
Why Conflict Feels Constant Now - NOEMA noemamag.com/why-conflict-f…
Argentina Moves to Legalize "Non-Human Corporations" Run by AI futurism.com/artificial-int…
The Black Box Myth: What the Industry Pretends Not to Know About AI | TechPolicy.Press techpolicy.press/the-black-box-…
Twenty years ago, climate denial was a problem of the right. Today, AI denial is a problem of the left, and the consequences could be even more disastrous. youtube.com/watch?v=KpTZbq…
The AI ‘Revolution' is Not a People's Revolution | TechPolicy.Press techpolicy.press/the-ai-revolut…
How People Are Really Using AI in 2026 hbr.org/2026/06/how-pe…
Priority AI risks airisk.mit.edu/priorities
The Coming AI Backlash | Council on Foreign Relations cfr.org/articles/the-c…
Enterprises Are Funding 2027 AI Budgets With Savings That Never Arrived thestateofai.com/news/bain-stud…
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