Tag: biases
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CSA: DeepSeek 11x More Likely to Generate Harmful Content
Source URL: https://cloudsecurityalliance.org/blog/2025/02/19/deepseek-r1-ai-model-11x-more-likely-to-generate-harmful-content-security-research-finds Source: CSA Title: DeepSeek 11x More Likely to Generate Harmful Content Feedly Summary: AI Summary and Description: Yes Summary: The text presents a critical analysis of the DeepSeek’s R1 AI model, highlighting its ethical and security deficiencies that raise significant concerns for national and global safety, particularly in the context of the…
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Cloud Blog: How to use gen AI for better data schema handling, data quality, and data generation
Source URL: https://cloud.google.com/blog/products/data-analytics/how-gemini-in-bigquery-helps-with-data-engineering-tasks/ Source: Cloud Blog Title: How to use gen AI for better data schema handling, data quality, and data generation Feedly Summary: In the realm of data engineering, generative AI models are quietly revolutionizing how we handle, process, and ultimately utilize data. For example, large language models (LLMs) can help with data schema…
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Hacker News: Ollama-Swift
Source URL: https://nshipster.com/ollama/ Source: Hacker News Title: Ollama-Swift Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses Apple Intelligence introduced at WWDC 2024 and highlights Ollama, a tool that allows users to run large language models (LLMs) locally on their Macs. It emphasizes the advantages of local AI computation, including enhanced privacy,…
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Slashdot: Ask Slashdot: What Would It Take For You to Trust an AI?
Source URL: https://ask.slashdot.org/story/25/02/15/2047258/ask-slashdot-what-would-it-take-for-you-to-trust-an-ai?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Ask Slashdot: What Would It Take For You to Trust an AI? Feedly Summary: AI Summary and Description: Yes Summary: The text discusses concerns surrounding trust in AI systems, specifically referencing the DeepSeek AI and its approach to information censorship and data collection. It raises critical questions about the…
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Hacker News: AI Mistakes Are Different from Human Mistakes
Source URL: https://www.schneier.com/blog/archives/2025/01/ai-mistakes-are-very-different-from-human-mistakes.html Source: Hacker News Title: AI Mistakes Are Different from Human Mistakes Feedly Summary: Comments AI Summary and Description: Yes Summary: The text highlights the unique nature of mistakes made by AI, particularly large language models (LLMs), contrasting them with human errors. It emphasizes the need for new security systems that address AI’s…