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…
As part of the 25th anniversary of the Liechtenstein Institute on Self-Determination (LISD), the university community and members of the public are invited to join an international colloquium on the Global Food and Water Security Project as well as advanced techniques in agriculture, forestry, and water stewardship.
Far and away the most prominent and practically influential approach to AI ethics to date is the paradigm of algorithmic fairness. Machine learning applied in high stakes contexts is an epistemic activity, aimed at inference over real world data and hence real world systems. The paradigm of ML fairness is a second-order…
