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Simlish as a Performative Language Between Interpretation and Agency in a Space Where Meaning Emerges from Interaction
The growing concerns surrounding the use of centralised and proprietary artificial intelligence find a possible solution in the open source universe — a horizon of hope for building more transparent, ethical, and community-driven tools. But what lies behind the expression “open source artificial intelligence models”, and who are the actors responsible for regulating and governing the growth of these innovative tools?
As is now well known, the recent rise of artificial intelligence stems from the convergence of two key factors: the vast amounts of data generated by contemporary digital life—readily available online—and the ongoing advancement of computational power.
While the accumulation of data is an intuitive phenomenon, rooted in our daily experience, the evolution of computing capabilities follows more complex and less tangible dynamics. Yet these are crucial to fully understanding the nature and limitations of AI.