One week after its AI algorithms advised users to consume rocks and put adhesive on pizza, Google admitted the necessity of refining its AI search function, emphasizing the perilous nature of commercializing generative AI and the technology's constraints.
The AI Overviews feature uses a large language model called Gemini to generate responses to user queries by summarizing online data. While LLMs excel at text manipulation, they can also propagate inaccuracies and falsehoods as seen in this incident.
Richard Socher, an AI researcher, highlights the challenge of streamlining LLMs due to their lack of genuine understanding of reality. The prevalence of unreliable online information further complicates efforts to harness AI effectively for search purposes.
Despite Google's thorough testing, adjustments were necessary post 'rock eating and glue pizza' incidents. Liz Reid mentioned improvements like better detection of nonsensical queries and reduced reliance on user-generated content to enhance AI Overviews' accuracy.
#generative-ai #large-language-models #text-manipulation #online-data-accuracy #ai-search-algorithms
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