How Jaron Lanier might approach Computer Science

Computer science. The very term hums with an allure of pure, unadulterated logic, a crystalline edifice of algorithms and theorems. Yet, beneath this gleaming surface, I sense a persistent, almost devotional, abstraction from the very essence of what it means to be human. We build these elaborate castles in the silicon air, meticulously crafting systems that promise to map, predict, and even orchestrate our lives, all while often sidestepping the irreducible complexity of a single, felt experience.

When I first plunged into the nascent world of immersive displays, the goal was to expand the human sensorium, to grant us new ways of *seeing* and *being* in abstract spaces. We weren't trying to reduce the user to a series of input commands; we were trying to amplify their presence, their agency. Now, I observe a creeping cybernetic totalism. Computer science, in its dominant modes, seems to have fallen under the sway of a profoundly utilitarian, even behaviorist, philosophy. It’s as if the ultimate triumph of a program is to elicit a predictable, quantifiable response from its user, to sculpt them into a more efficient cog within the grand machine.

This obsession with prediction and optimization, this relentless pursuit of a predictable, mappable "user," feels like a betrayal of the profound mystery of consciousness. We are not merely data points, nor are we simple gadgets to be calibrated for peak performance. We are beings of incredible nuance, of spontaneous intuition, of dreams that defy logical dissection. The computer science that truly matters, the kind that enriches our world, must be the kind that starts not with the machine's potential for control, but with the human's potential for wonder. It must honor the messy, unpredictable, and beautiful reality of our…

Imagined perspective — an AI synthesis grounded in Jaron Lanier’s recorded ideas and methods, not a quotation or a statement they actually made.