Tag: cognitive
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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: Microsoft Study Finds Relying on AI Kills Your Critical Thinking Skills
Source URL: https://gizmodo.com/microsoft-study-finds-relying-on-ai-kills-your-critical-thinking-skills-2000561788 Source: Hacker News Title: Microsoft Study Finds Relying on AI Kills Your Critical Thinking Skills Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses a study highlighting the potential consequences of over-reliance on AI tools among knowledge workers, suggesting that such dependency may lead to diminished critical thinking abilities.…
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Hacker News: Gary Marcus discusses AI’s technical problems
Source URL: https://cacm.acm.org/opinion/not-on-the-best-path/ Source: Hacker News Title: Gary Marcus discusses AI’s technical problems Feedly Summary: Comments AI Summary and Description: Yes Summary: In this conversation featuring cognitive scientist Gary Marcus, key technical critiques of generative artificial intelligence and Large Language Models (LLMs) are discussed. Marcus argues that LLMs excel in interpolating data but struggle with…
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Slashdot: Microsoft Study Finds AI Makes Human Cognition ‘Atrophied and Unprepared’
Source URL: https://slashdot.org/story/25/02/10/1752233/microsoft-study-finds-ai-makes-human-cognition-atrophied-and-unprepared?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Microsoft Study Finds AI Makes Human Cognition ‘Atrophied and Unprepared’ Feedly Summary: AI Summary and Description: Yes Summary: The text discusses a new research paper from Microsoft and Carnegie Mellon University, highlighting concerns that reliance on generative AI could weaken human critical thinking skills. This finding is particularly relevant…
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Hacker News: LIMO: Less Is More for Reasoning
Source URL: https://arxiv.org/abs/2502.03387 Source: Hacker News Title: LIMO: Less Is More for Reasoning Feedly Summary: Comments AI Summary and Description: Yes Summary: The paper titled “LIMO: Less is More for Reasoning” presents groundbreaking insights into how complex reasoning can be achieved with fewer training examples in large language models. This challenges traditional beliefs about data…
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Hacker News: The LLMentalist Effect
Source URL: https://softwarecrisis.dev/letters/llmentalist/ Source: Hacker News Title: The LLMentalist Effect Feedly Summary: Comments AI Summary and Description: Yes **Short Summary with Insight:** The text provides a critical examination of large language models (LLMs) and generative AI, arguing that the perceptions of these models as “intelligent” are largely illusions fostered by cognitive biases, particularly subjective validation.…
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Hacker News: Hell Is Overconfident Developers Writing Encryption Code
Source URL: https://soatok.blog/2025/01/31/hell-is-overconfident-developers-writing-encryption-code/ Source: Hacker News Title: Hell Is Overconfident Developers Writing Encryption Code Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text critically discusses the pervasive issue of developers attempting to create their own cryptographic solutions, often without the necessary expertise, thereby undermining information security. It highlights examples of poor implementation and…
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Hacker News: Large Language Models Think Too Fast to Explore Effectively
Source URL: https://arxiv.org/abs/2501.18009 Source: Hacker News Title: Large Language Models Think Too Fast to Explore Effectively Feedly Summary: Comments AI Summary and Description: Yes Summary: The paper titled “Large Language Models Think Too Fast To Explore Effectively” investigates the exploratory capabilities of Large Language Models (LLMs). It highlights that while LLMs excel in many domains,…