Reclaiming human agency from ‘always agreeable’ AI 

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  →

The Heideggerian nightmare of “digital thrownness”

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” →

Beyond the prompt: the overlooked feedback loop in human‑AI collaboration

Most guidance on using AI productively—including in communications—centres on efficiency: faster drafts, quicker summaries, impactful output in less time. Despite this emphasis on speed, a less obvious yet noteworthy pattern emerges after sustained use: AI output improves when we acknowledge and reinforce the quality of its reasoning, not just its efficiency. When AI is exclusively … Continue reading Beyond the prompt: the overlooked feedback loop in human‑AI collaboration →

Jonesing for intent

A recent Mad Men binge jolted me into noticing the stark contrast between that era’s deliberate pace and today’s frictionless digital churn. The show captures a world where communication was clunky, effortful, and therefore meaningful. Every choice carried weight because every action required intention. Society was tightly codified yet simultaneously breaking free from its own … Continue reading Jonesing for intent →