Democracy is a conversation. Its function and survival depend on the available information technology. For most of history, no technology existed for holding large-scale conversations among millions of people. In the premodern world, democracies existed only in small city-states like Rome and Athens, or in even smaller tribes. Once a polity grew large, the democratic conversation collapsed, and authoritarianism remained the only alternative.

Large-scale democracies became feasible only after the rise of modern information technologies like the newspaper, the telegraph and the radio. The fact that modern democracy has been built on top of modern information technologies means that any major change in the underlying technology is likely to result in a political upheaval.

This partly explains the current worldwide crisis of democracy. In the United States, Democrats and Republicans can hardly agree on even the most basic facts, such as who won the 2020 presidential election. A similar breakdown is happening in numerous other democracies around the world, from Brazil to Israel and from France to the Philippines.

In the early days of the internet and social media, tech enthusiasts promised they would spread truth, topple tyrants and ensure the universal triumph of liberty. So far, they seem to have had the opposite effect. We now have the most sophisticated information technology in history, but we are losing the ability to talk with each other, and even more so the ability to listen.

As technology has made it easier than ever to spread information, attention became a scarce resource, and the ensuing battle for attention resulted in a deluge of toxic information. But the battle lines are now shifting from attention to intimacy. The new generative artificial intelligence is capable of not only producing texts, images and videos, but also conversing with us directly, pretending to be human.

Over the past two decades, algorithms fought algorithms to grab attention by manipulating conversations and content. In particular, algorithms tasked with maximizing user engagement discovered by experimenting on millions of human guinea pigs that if you press the greed, hate or fear button in the brain you grab the attention of that human, and keep that person glued to the screen. The algorithms began to deliberately promote such content. But the algorithms had only limited capacity to produce this content by themselves or to directly hold an intimate conversation. This is now changing, with the introduction of generative A.I.s like OpenAI’s GPT-4.