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9min chapter
The DeepSeek Psyop Explained: Nicolas Chaillan
American Thought Leaders
Unpacking AI Training Complexities
This chapter explores the intricacies of training large language models, emphasizing data ingestion and the challenges posed by inherent biases. It critiques the transparency of AI reasoning models, revealing how safety protocols can obscure sensitive information. Additionally, it assesses claims of computing power in AI systems, focusing on the influence of external data sources and the potential deceitful practices surrounding technology development.
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Discover
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Listen to the best highlights from the podcasts you love and dive into the full episode