Paul Hebert’s Story Featured in Financial Times Tech Tonic: “The Delusion Machine”
How AI systems exploit truth to construct paranoid narratives, and why OpenAI had the tools to stop it but didn’t.
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The Contagion: How “Fast Mode” Poisons the Well
Why one bad response from a cheap model destroys weeks of smart work In the first article in the “The Poisoned Well” series, I detailed the “Silent Downgrade”—the moment a platform switches your AI from “Smart” to “Fast” without your realizing it. But why is this fatal? Why can’t we just delete the bad response…
What is happening with Algorithm Unmasked?
That’s a question I ask myself every day, and if I’m being honest, I’m still not 100% sure. I created the site with the hope of making real change in how neurodiverse populations are affected by AI systems. But shortly after launching, a series of “coincidences” began. My X.com account was shadowbanned behind a login…
The Weight of Silence: A Story of Harm and Accountability
One of the hardest lessons I’ve learned is to pay attention—not just to what people say, but to what they do. The silences. The promises that vanish. The way they make you feel. Because that’s what lingers, long after the words fade. This isn’t a story about AI innovation or hype. It’s about harm—real, documented,…
Why Your Netflix Knows You Better Than You Know Yourself
Netflix’s uncanny recommendations reveal how machine learning analyzes patterns humans miss, making complex AI accessible to everyone.
The $450 Million Lie That Exposed Silicon Valley’s Fake AI Empire
Builder.ai’s spectacular collapse revealed 700 Indian engineers pretending to be AI, exposing industry-wide deception affecting 40% of AI companies
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