Tag: awareness
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Slashdot: AI ‘Hallucinations’ in Court Papers Spell Trouble For Lawyers
Source URL: https://yro.slashdot.org/story/25/02/18/2147200/ai-hallucinations-in-court-papers-spell-trouble-for-lawyers?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: AI ‘Hallucinations’ in Court Papers Spell Trouble For Lawyers Feedly Summary: AI Summary and Description: Yes Summary: The report highlights a critical issue in the intersection of AI and the legal profession, particularly focusing on how artificial intelligence tools can generate fictitious case law, leading to real-world consequences for…
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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: The Impact of Generative AI on Critical Thinking [pdf]
Source URL: https://www.microsoft.com/en-us/research/uploads/prod/2025/01/lee_2025_ai_critical_thinking_survey.pdf Source: Hacker News Title: The Impact of Generative AI on Critical Thinking [pdf] Feedly Summary: Comments AI Summary and Description: Yes **Short Summary with Insight:** The text presents a comprehensive study on the impact of Generative AI (GenAI) on critical thinking skills among knowledge workers. It reveals notable correlations between self-confidence, confidence…
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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…