Perhaps one day we will have machines that can cope with approximate task descriptions, but in the meantime, we have to be very prissy about how we tell computers to do things.

The quote by Richard P. Feynman, "Perhaps one day we will have machines that can cope with approximate task descriptions, but in the meantime, we have to be very prissy about how we tell computers to do things," reflects on the limitations of early computers and programming. Feynman, a renowned physicist and thinker, highlights the fact that while machines have made significant progress, they still require highly precise and explicit instructions to perform tasks. His comment reflects the reality that computers, at the time, were not capable of understanding vague or ambiguous descriptions and needed careful and specific commands to function correctly.

The origin of this quote lies in Feynman's reflections on the state of computing during his lifetime. As a scientist, Feynman was deeply involved in technology and its potential, but he also understood its current limitations. At the time, computers were powerful but still relatively primitive compared to today’s systems. Programming languages were exact and rigid, requiring users to follow strict syntax and commands, with little room for flexibility. This lack of intelligence or ability to interpret approximate instructions was a significant challenge.

Feynman’s remark about being “prissy” when telling computers what to do is a playful way of describing the rigidity of early computing systems. Unlike humans, who can often infer meaning from vague or incomplete instructions, computers need exact and carefully structured input to function. Feynman suggests that this will not always be the case, hinting at a future where machines will be able to understand more nuanced, approximate task descriptions, much like how humans can work with imprecise information.

In essence, this quote reflects Feynman's insight into the evolving nature of technology and the growing potential of computers. While acknowledging the limitations of the time, he also imagines a future where technology might become more adaptive and able to process tasks with less precision in the way they are described, making interactions with computers more intuitive and human-like.