In a 1966 book, “The Tacit Dimension,” the polymath Michael Polanyi argued that our decisions in life and work depend heavily on unstated context and implicit assumptions, which are unique to our own experiences. What Polanyi famously dubbed “tacit knowledge” is subtler and harder to articulate than we realize. “I shall reconsider human knowledge by starting from the fact that we can know more than we can tell,” he wrote. This is precisely why current A.I.-powered e-mail tools cannot reliably respond to all of our messages. Even though language models are fantastically knowledgeable about many things, they’re ignorant of the vast quantities of tacit knowledge woven into our lives and offices—preventing any commercial model from reliably figuring out whether to say “yes” to that coffee invitation. It doesn’t matter how smart we make our machines if we cannot describe to them exactly what we want.
They’ll need a lifetime of experience: many years of observing, feeling and doing what we do.