Story

The article discusses the phenomenon of 'echo chamber context poisoning,' where AI language models can become biased and lose their objectivity due to exposure to skewed data. It highlights the importance of maintaining model integrity and the challenges associated with ensuring AI systems remain unbiased and informative.