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policy#content moderation📰 NewsAnalyzed: Jan 5, 2026 09:58

YouTube Cracks Down on AI-Generated Fake Movie Trailers: A Content Moderation Dilemma

Published:Dec 18, 2025 22:39
1 min read
Ars Technica

Analysis

This incident highlights the challenges of content moderation in the age of AI-generated content, particularly regarding copyright infringement and potential misinformation. YouTube's inconsistent stance on AI content raises questions about its long-term strategy for handling such material. The ban suggests a reactive approach rather than a proactive policy framework.
Reference

Google loves AI content, except when it doesn't.

Research#llm📝 BlogAnalyzed: Dec 29, 2025 08:18

Building a Recommender System from Scratch at 20th Century Fox with JJ Espinoza - TWiML Talk #220

Published:Jan 14, 2019 20:15
1 min read
Practical AI

Analysis

This article discusses a podcast episode featuring JJ Espinoza, former Director of Data Science at 20th Century Fox. The core focus is on the development and deployment of a content recommendation system. The conversation delves into the specifics of the system's design, highlighting two key components: one that analyzes movie scripts to suggest potential film projects, and another that processes trailers to personalize user recommendations. The article provides a glimpse into the practical application of data science in the entertainment industry, specifically focusing on how AI is used to inform content creation and distribution strategies.

Key Takeaways

Reference

In this talk we dig into JJ and his team’s experience building and deploying a content recommendation system from the ground up.