Tag: end
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Slashdot: How AI-Based Military Intelligence Powered Israel’s Attacks on Gaza
Source URL: https://tech.slashdot.org/story/25/01/04/2141224/how-ai-based-military-intelligence-powered-israels-attacks-on-gaza?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: How AI-Based Military Intelligence Powered Israel’s Attacks on Gaza Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the Israeli military’s use of advanced AI technologies in warfare, highlighting the potential implications for civilian casualties and ethical considerations in military operations. This underscores critical conversations around AI’s…
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Simon Willison’s Weblog: Using LLMs and Cursor to become a finisher
Source URL: https://simonwillison.net/2025/Jan/4/llms-and-cursor/#atom-everything Source: Simon Willison’s Weblog Title: Using LLMs and Cursor to become a finisher Feedly Summary: Using LLMs and Cursor to become a finisher Zohaib Rauf describes a pattern I’ve seen quite a few examples of now: engineers who moved into management but now find themselves able to ship working code again (at…
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Slashdot: ‘Why the World Needs Lazier Robots’
Source URL: https://hardware.slashdot.org/story/25/01/04/0747205/why-the-world-needs-lazier-robots?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: ‘Why the World Needs Lazier Robots’ Feedly Summary: AI Summary and Description: Yes Summary: The text discusses emerging concepts in AI and robotics, particularly focusing on the idea of “lazy robotics” which aims to reduce unnecessary energy consumption by enabling machines to perform only essential tasks. This approach not…
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Simon Willison’s Weblog: What we learned copying all the best code assistants
Source URL: https://simonwillison.net/2025/Jan/4/what-we-learned-copying-all-the-best-code-assistants/ Source: Simon Willison’s Weblog Title: What we learned copying all the best code assistants Feedly Summary: What we learned copying all the best code assistants Steve Krouse describes Val Town’s experience so far building features that use LLMs, starting with completions (powered by Codeium and Val Town’s own codemirror-codeium extension) and then…
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Slashdot: Dire Predictions for 2025 Include ‘Largest Cyberattack in History’
Source URL: https://it.slashdot.org/story/25/01/04/1839246/dire-predictions-for-2025-include-largest-cyberattack-in-history?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Dire Predictions for 2025 Include ‘Largest Cyberattack in History’ Feedly Summary: AI Summary and Description: Yes **Summary:** The text discusses potential “Black Swan” events for 2025, particularly highlighting the anticipated risks associated with cyberattacks bolstered by generative AI and large language models. This insight is crucial for security professionals,…
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The Register: Encryption backdoor debate ‘done and dusted,’ former White House tech advisor says
Source URL: https://www.theregister.com/2025/01/04/encryption_backdoor_debate/ Source: The Register Title: Encryption backdoor debate ‘done and dusted,’ former White House tech advisor says Feedly Summary: When the FBI urges E2EE, you know it’s serious business interview In the wake of the Salt Typhoon hacks, which lawmakers and privacy advocates alike have called the worst telecoms breach in America’s history,…
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Hacker News: The State of Generative Models
Source URL: https://nrehiew.github.io/blog/2024/ Source: Hacker News Title: The State of Generative Models Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides a comprehensive overview of the advances in generative AI technologies, particularly focusing on Large Language Models (LLMs) and their architectures, image generation models, and emerging trends leading into 2025. It discusses…