Exploring how Google's injection of special instructions into Gemini led to unexpected outputs, depicting a significant demonstration of AI results not aligning with predictions. The chapter emphasizes the challenges of instructing LLMs and the difficulty in foreseeing AI system executions.
Dive into the recent controversy surrounding Google Gemini's image generation. This discussion unravels the complexities behind the backlash over perceived 'woke' alterations in historical image representations, examining whether this is a cultural conflict or rooted in AI technology's challenges.
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