In “Modes of Cognition: Implications for Large Language Models,” N. Katherine Hayles asks us to think of cognition more broadly than conscious human thought. She proposes five criteria, which she calls SIRAL: sensing, interpreting, responding flexibly, anticipating, and learning. By these criteria, organisms such as bacteria and plants can be cognitive even without brains. Hayles also argues that large language models have cognitive capacities, though their ways of sensing and learning differ from those of living organisms. Her essay invites readers to consider how humans, other living beings, and artificial systems make sense of their worlds—and what responsibilities arise as their lives and activities become increasingly intertwined.
Source: N. Katherine Hayles, “Modes of Cognition: Implications for Large Language Models,” Antikythera Journal (2025). Presented online with Knoth & Renner.
Conventionally, intelligence is seen as a property of individuals. However, it is also known to be a property of collectives. Here, we broaden the idea of intelligence as a collective property and extend it to the planetary scale. We consider the ways in which the appearance of technological intelligence may represent a kind of planetary scale transition, and thus might be seen not as something which happens on a planet but to a planet.
As we will describe, a transition to global planetary intelligence should include a kind of intelligence that is more than the aggregate sum of the localized activities of life on smaller scales. We are interested in properties that exist at the scale of biospheres and/or technospheres (where technospheres are the aggregate planetary activity of technology...Thus, the cognitive activity we are interested in must operate via feedback loops that are global in scale, coordination and operation.