Histories of Intelligence

Artificial Intelligence sets in motion a new chapter in the history of intelligence’s confrontation with fate and necessity. Telling the stories of its twists and turns is crucial work for our time out of joint.

Why Histories of Intelligence?

Artificial Intelligence ushers in watershed changes in the history of intelligence. LLM’s in particular are genuinely remarkable accomplishments in the history of intelligence. To reformat our historical record from texts to probability vectors opens entirely new opportunities in the advancement of knowledge and a renewal of the Enlightenment’s optimism about the future. LLM’s also offer tremendous opportunity for our own personal improvement so long as each of us treats them as genuine tools for furthering curiosity and not simply reinforcing what we already believe.

The essays collected here seek a broad and historical understanding of intelligence: the expansive and adaptive capacity to turn necessity into possibilities. It is an ongoing confrontation with fate, necessity and limits—not purely to overcome them but to understand them and to perhaps grow in wisdom as we confront them. This definition lacks a subject by design. Intelligence is not a possession that is exercised by a Being, whether machine or organism. I treat intelligence like the weather when we say ‘It is raining’. The ‘it’ that rains simply marks the absence of an active subject doing the raining. As Nietzsche said about lightning, there is no doer authoring the deed; we cannot separate lightning from its flash (GM 1.13).

The it that exercises intelligence is the it that rains. It thinks. It computes. It predicts. It acts. The grammatically required ‘it’ forces us to pay attention to the effects of the action—raining, thinking, computing, predicting—without naming an actor responsible for the deed. What is it doing? How long will it last? Will it turn into a violent tornado, or will it calm to a gentle, soaking shower?

My aim is not polemical. I don’t wish to offer a replacement definition to those of AI researchers, who focus largely on predictive modeling and error correction. These are important undertakings, but we ought not mistake them for full and complete understandings of intelligence. They are guided by engineering concerns—what can be built, at what cost, and to what ends? My aim is accompaniment. Call it ‘riding shotgun’ if you like. The idea is that there is no single history of intelligence, and there is no single definition. There is only the tracing of its effects, which have been expanding its speed and scope for thousands and perhaps millions of years.

The essays included here take the first tentative steps toward these histories, not as correctives but as bigger and broader views of what intelligence has been and is yet to be.

As AI engineers operationalize definitions of intelligence at planetary scale, we are pressed to ask larger historical questions: Does intelligence have a history? This essay proposes ‘Histories of Intelligence’ that reconnect cave paintings, Babylonian astronomy, navigation, spirituality, discernment, and AI within a single unfolding struggle to turn fate into possibility.

Essential Essays on the Histories of Intelligence

More Histories of Intelligence