| Beschreibung |
The Cloud, something lightweight and distant, floating in the air while casting shadows upon the place we inhabit, serves as a perfect metaphor that haunts our relationship with technology. It seems that with a certain amount of subscription fee, online services will perform the magic, and we can simply vibe with it. Yet this isn’t always the case: systems go down, materializing AI code is painful, and things don’t always work as promised. In principle, this course is an open discussion on how to vibe authentically with technology. We will explore how to understand programs enough to give computers instructions they can actually comprehend. We will examine how to move beyond subscription models and run AI on our own machines, reclaiming power and agency over our digital tools. Through reading and hands-on Practice, we will engage with critical perspectives on artificial intelligence and cloud services, understanding their strengths while remaining aware of their limitations, potential, and the discourse surrounding them. In Practice, we will learn to install large language models and vision models on our own computers, program simple interactions with Python, and work with the Model Context Protocol (MCP), a framework for controlling our daily creative software with the power of language models. The goal of this course is to build a comprehensive understanding of the multiple ways we can engage with large language models, empowering us to develop our creative practices with more intentional and informed relationships with AI. Ultimately, students are expected to present the outcome through installative, video, or writing practices. |
| Literatur |
New Dark Age: Technology and the End of the Future, 2018, James Bridle. The Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence, 2021, Kate Crawford. Data Feminism, 2020, Catherine D'Ignazio, Lauren F. Klein. |
