Tag: thinking
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New York Times – Artificial Intelligence : How Do You Teach Computer Science in the A.I. Era?
Source URL: https://www.nytimes.com/2025/06/30/business/computer-science-education-ai.html Source: New York Times – Artificial Intelligence Title: How Do You Teach Computer Science in the A.I. Era? Feedly Summary: Universities across the country are scrambling to understand the implications of generative A.I.’s transformation of technology. AI Summary and Description: Yes Summary: The text highlights the urgent need for universities to comprehend…
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New York Times – Artificial Intelligence : A.I. Is Starting to Wear Down Democracy
Source URL: https://www.nytimes.com/2025/06/26/technology/ai-elections-democracy.html Source: New York Times – Artificial Intelligence Title: A.I. Is Starting to Wear Down Democracy Feedly Summary: Content generated by artificial intelligence has become a factor in elections around the world. Most of it is bad, misleading voters and discrediting the democratic process. AI Summary and Description: Yes Summary: The text highlights…
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Microsoft Security Blog: Microsoft is named a Leader in The Forrester Wave™: Security Analytics Platforms, 2025
Source URL: https://www.microsoft.com/en-us/security/blog/2025/06/24/microsoft-is-named-a-leader-in-the-forrester-wave-security-analytics-platforms-2025/ Source: Microsoft Security Blog Title: Microsoft is named a Leader in The Forrester Wave™: Security Analytics Platforms, 2025 Feedly Summary: Microsoft is proud to be named a Leader in The Forrester Wave™: Security Analytics Platforms, Q2 2025—which we believe reflects our deep investment in innovation and commitment to support SOC’s critical mission.…
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Slashdot: Reasoning LLMs Deliver Value Today, So AGI Hype Doesn’t Matter
Source URL: https://slashdot.org/story/25/06/19/165237/reasoning-llms-deliver-value-today-so-agi-hype-doesnt-matter?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Reasoning LLMs Deliver Value Today, So AGI Hype Doesn’t Matter Feedly Summary: AI Summary and Description: Yes Summary: The commentary by Simon Willison highlights a debate surrounding the effectiveness and applicability of large language models (LLMs), particularly in the context of their limitations and the recent critiques by various…