Issue 9: CLIP-based Generative Art, “Horror show” of YouTube’s Recommender System

The Comet Newsletter issue #9 explores various topics, including a Mozilla study on YouTube's recommendation system, which highlights the platform's role in promoting controversial content based on crowdsourced data collected from users. The research indicates that 71% of regretful videos were recommended by the algorithm, with non-English-speaking countries reporting worse experiences. The newsletter also features a fictional narrative by Erik Bernhardsson on the challenges of integrating data-driven practices in startups, emphasizing the importance of process over tools. Additionally, it discusses the impact of OpenAI's CLIP model on generative art, and recaps a Turing Lecture by deep learning pioneers, which delves into the advancements and challenges in AI research, particularly in areas like causality and the limitations of current deep learning systems in adapting to real-world variability.

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