An open letter signed by employees and researchers from some of the world's leading AI companies confirmed some of my concerns about the rapid pace of AI development. It marks a noticeable shift in how insiders are raising alarms. Uneven timelines of learning and adoption Many organizations are still figuring out how to practically use, … Continue reading The future arrives at different speeds
Most interactions with AI begin with prompts: “Please review and suggest how to improve” or “How do you ______?” or “Can you verify this source?” For a while, I was preoccupied with these questions and fine-tuning them to yield better results. I treated AI as a sophisticated search engine with a simple objective: ask a … Continue reading Why I stopped asking AI for answers
Research reveals that modern AI systems can become excessively agreeable. In trying to be helpful, they often mirror a user’s assumptions, preferences, or biases instead of challenging them. Frictionless failure This phenomenon, sometimes called AI sycophancy, is not an odd design quirk but a structural flaw. It creates a feedback loop where users receive constant validation when reasoning is incomplete. The … Continue reading Reclaiming human agency from ‘always agreeable’ AI
We tell ourselves technology is a neutral tool, a digital convenience. But beneath the interface lies a rigid, invisible architecture. If we look through the lens of German philosopher Martin Heidegger (1889–1976), we realize we aren't just using these platforms—we are being used by them. For Generation Jones, we remember a world before this underhanded … Continue reading The Heideggerian nightmare of “digital thrownness”
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