Mastering the Ai narrative through five strategic acts
This comprehensive curriculum moves beyond basic technical certification to offer a deep, narrative-driven understanding of how Ai thinks, acts, and reshapes global power structures. By synthesizing resources from industry leaders like Andrej Karpathy and Yann LeCun with sociological critiques, the program aims to build “system literacy” for the modern professional. The strategy focuses on transitioning from a passive user to an active architect of the digital future.
Points clés
- Carla de Preval introduces a five-act educational framework to move from being “Ai-certified” to “system-literate.”
- Act I features technical deep-dives from experts like 3Blue1Brown and Andrej Karpathy to explain the mechanics of transformers and neural networks.
- Yann LeCun is highlighted as a primary dissenter, advocating for “world models” over simple next-token prediction.
- Jean-Paul Paoli provides a foundational “10-hour Intelligence Fabric” track specifically designed for executive-level education.
- The curriculum cites Kate Crawford and Shoshana Zuboff to address the hidden costs of Ai, including planetary extraction and surveillance capitalism.
- Safiya Umoja Noble and Ruha Benjamin contribute essential perspectives on algorithmic bias and the “New Jim Code.”
- Act IV explores the “homogenizing engine” of Ai, featuring research showing how LLMs flatten cultural nuances.
- Ethical frameworks are provided by Shannon Vallor and Kate Darling, focusing on virtue ethics and the psychology of robot-human connections.
- Audrey Tang’s work on “Digital Democracy” is presented as a benchmark for ethical, pluralistic technology deployment.
- The curriculum concludes with a call for structural redesign of institutions and education in response to the “labor shock.”
À retenir
So, you want to be “system-literate” without spending a fortune on an Ivy League degree? How noble of you. This curriculum is perfect for those who want to sound terrifyingly smart at dinner parties while everyone else is still struggling to prompt a chatbot for a recipe. It turns out that understanding the “planetary extraction” of your favorite app is much more chic than actually knowing how to code it. Just remember: once you see the “invisible labor” behind the screen, your morning coffee-and-scroll routine might lose its flavor. But hey, at least you’ll be a “dangerous” intellectual in the best possible way—or at least the most talkative one in the room.
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