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The history of personal computing is frequently narrated as a linear trajectory of increasing processing power a technological march defined by Moore’s Law, miniaturisation, and the relentless pursuit of speed. However, a parallel and perhaps more profound evolution has occurred in the philosophical and functional relationship between the human user and the digital machine. For nearly five decades, this relationship was anchored by a singular, defining metaphor: the "bicycle for the mind."

This phrase, famously popularized by Steve Jobs in the early 1980s and reiterated in the 1990 documentary Memory & Imagination, was not merely a marketing slogan; it was a statement of intent regarding the role of technology in human life. Jobs drew upon a study from Scientific American that analyzed the locomotive efficiency of various species. The study found that while a human moving under their own power was reasonably efficient, they were far surpassed by the condor. However, a human on a bicycle blew the condor away, becoming the most efficient moving entity on the planet. Jobs applied this analogy to the computer: it was a tool that amplified native human intent and energy. Crucially, the bicycle possesses no volition. It does not steer, it suggests no destination, and it does not pedal itself. It waits, inert and passive, for the rider to provide both the power and the direction.

In stark contrast, the current trajectory of Artificial Intelligence specifically the rise of "Agentic AI" and Large Language Models (LLMs) in the mid-2020s suggests a fundamental inversion of this relationship. We are transitioning from the era of the Bicycle to the era of the Chauffeur. The modern AI assistant does not simply amplify mechanical effort; it assumes cognitive labour. It suggests destinations, navigates the route, and increasingly, drives the vehicle without direct human intervention.

This podcast investigates the validity of the hypothesis posited in the query: that computing has always been an assistant, from the earliest spreadsheets to the modern smartphone, and that the current wave of AI is merely "advancing the assistance" that has always existed. By rigorously examining the history of interaction design from the rigid determinism of VisiCalc to the probabilistic autonomy of GPT-4o we reveal that while the teleological goal (efficiency) has remained constant, the ontological mechanism has shifted from cognitive extension (the tool) to cognitive delegation (the agent). This distinction is not merely semantic; it represents a crisis of agency that challenges the foundational principles of Human-Computer Interaction (HCI) established over the last half-century.