This talk focuses on the political economy of venture capital as context for “technological innovation.” Successful startups grow from concepts into companies reaching billions in valuation within a few short years despite making little or no profit. Drawing on ethnographic perspectives from the U.S.
As large language models (LLMs) proliferate, understanding their emergent behaviors remains a central challenge. This talk proposes a framework for interpreting LLM behavior through the lens of geometry. We argue that the structure of an LLM’s internal semantic space—the high-dimensional arrangement of concepts—serves as a…
