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When Monsters Are Made: How Netflix’s Monster: The Ed Gein Story Recasts the Origins of Horror
In October 2025, Netflix releases the third installment of its true crime anthology Monster, titled Monster: The Ed Gein Story. This new season dramatizes the life of one of America’s most infamous criminals—Edward “Ed” Gein—and explores how his grotesque acts cast a long shadow over horror cinema, pop culture, and our collective fascination with monstrosity. As the show invites viewers to peer into the darkness behind the legend, it raises a provocative question: are monsters born, or are they made? In this article, we trace the real-life path of Ed Gein, situate his crimes in historical and psychological context, examine the production and narrative choices of the Netflix series, and reflect on its implications for the true crime genre. Along the way, we analyze how Monster: The Ed Gein Story positions itself within the lineage of horror, biography, and televised crime narratives—and what it hopes to say about guilt, trauma, and human culpability.
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How AI affects music streaming platforms

In recent years, Artificial Intelligence (AI) has played a significant role in the development of various industries, including the music industry. With the emergence of AI music, it has impacted the streaming platforms in several ways. This article explores the impact of AI music on streaming platforms.

Firstly, AI music has revolutionized the way music is created and produced. AI music is produced using algorithms and machine learning, which analyze data and create music based on the patterns and preferences of listeners. This means that AI music can be customized to fit the tastes of individual listeners, which can attract more subscribers to streaming platforms.

Secondly, AI music has improved the quality of music streaming platforms. For instance, AI algorithms can be used to enhance the sound quality of music tracks by removing background noise or compressing audio files without affecting the quality. This ensures that listeners have access to high-quality music, which can increase user engagement and reduce churn rates.

Thirdly, AI music has enabled streaming platforms to personalize their services to individual users. By analyzing the music preferences of users, AI algorithms can recommend music tracks and playlists that are tailored to the individual's preferences. This personalization enhances the user experience and can attract more users to the platform.

Fourthly, AI music has improved the discovery of new music. Streaming platforms can use AI algorithms to analyze the listening habits of users and recommend new music that fits their preferences. This feature can increase the user's engagement with the platform and can lead to increased revenue from subscriptions and advertisements.

Fifthly, AI music has enabled the creation of new revenue streams for streaming platforms. With the use of AI algorithms, streaming platforms can create new music tracks and playlists, which they can monetize by selling them to users or licensing them to other platforms. This can create additional revenue streams for streaming platforms and can help them to become more profitable.

In conclusion, AI music has had a significant impact on streaming platforms. It has improved the quality of music, enhanced the user experience, and created new revenue streams. As AI technology continues to develop, it is expected that AI music will play an increasingly important role in the music industry and streaming platforms.

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