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Google received criticism after its AI assistant failed to provide answers about the Holocaust but could answer questions about other historical events. The incident raised concerns about the trustworthiness of Google's answers and the company's commitment to truth. Despite the backlash, Google stated that the response was unintentional and attributed it to a bug that they promptly addressed. Google has been previously criticized for developing products that have been perceived as promoting social justice absolutism. Source: https://nypost.com/2024/05/11/tech/googles-ai-refuses-to-say-how-many-jews-were-killed-by-nazis/ submitted by /u/NuseAI [link] [comments]

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The International Energy Agency predicts that the energy consumption associated with data centers, cryptocurrency, and artificial intelligence could double by 2026, equivalent to Japan's electricity usage. In the digital age, unseen processes powered by AI impact our lives, requiring materials like plastics and metals with real-world costs. Generative AI, such as OpenAI's GPT-3, demands significant energy for training and operations, contributing to environmental concerns. AI's energy costs are distributed and lack transparency, with generative AI using 30 to 40 times more energy than traditional AI approaches. Data storage, model training, and continuous AI model operation all contribute to the energy-intensive nature of AI technologies. Source: https://www.vox.com/climate/2024/3/28/241...

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Are custom LLMs able to adjust to potentially huge variations in language enough to learn the way dolphins communicate? submitted by /u/Not_a_Replika [link] [comments]

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