I often find myself envisioning that those who dedicate their careers to the field of artificial intelligence must inhabit a world that mirrors the futuristic universe of *The Jetsons*. In my imagination, they glide through their daily routines surrounded by gleaming robotic aides and homes that hum with autonomous systems anticipating every human need. Surely, I think, if anyone has mastered the art of delegation to machines, it must be the very individuals who design, train, and refine these intelligent systems. Even if their dwellings do not literally contain robot maids whirring around the kitchen or mechanical arms tidying up after them, one would naturally expect that nearly every repetitive or mundane task in their lives is automated — executed with the quiet precision of algorithms they’ve built themselves.
Yet reality often diverges, sometimes charmingly so, from the technological idyll we imagine. Take Stella Dong, for example — a machine-learning engineer whose expertise lies at the heart of the modern AI revolution, and a co-founder of an innovative startup aptly named Reinsurance Analytics. Her professional life is immersed in systems capable of sifting through vast quantities of data, identifying subtle patterns, and generating predictive insights with extraordinary efficiency. Nevertheless, when it comes time for an entirely ordinary and analog task — the act of composing an email — she does not rely on any automated assistant, voice-to-text model, or predictive text software to handle it for her. Instead, Stella types each word herself, her ten fingers rhythmically tapping out the message across the keyboard. It serves as a subtle yet telling reminder that, for all our progress toward automation, there remains an enduring value in human deliberation, intention, and personal engagement — even in the most seemingly minor acts of communication.
Sourse: https://www.wsj.com/tech/ai/why-ai-workers-wont-let-bots-do-the-most-basic-tasks-f4ea3226?mod=rss_Technology
