These sources feature a lecture on AI for Designers, aiming to clarify common misunderstandings and highlight the importance of technical understanding over mere imagination. The speaker contrasts traditional programming (Software 1.0) with data-driven machine learning (Software 2.0), presenting AI fundamentally as data handling and an "intelligence revolution" driven by speed and accessible knowledge. A core message is that designers must move beyond superficial trends and marketing hype to grasp the underlying principles and challenges, such as bias and the nature of errors, to effectively leverage AI. Ultimately, success with AI relies not on the tools themselves, but on a deep understanding of the problem to be solved.https://namjulee.github.io/njs-lab-public/work?id=2025-introductionToDesignComputation

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