Tag: based
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Hacker News: DHS removes all members of cyber security advisory boards, halts investigations
Source URL: https://bsky.app/profile/ericjgeller.com/post/3lgbpqmxeok2f Source: Hacker News Title: DHS removes all members of cyber security advisory boards, halts investigations Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the U.S. Treasury Department’s sanctions against a Chinese cyber actor and a cybersecurity company linked to malicious cyber activities threatening U.S. national security. This reflects…
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Simon Willison’s Weblog: Run DeepSeek R1 or V3 with MLX Distributed
Source URL: https://simonwillison.net/2025/Jan/22/mlx-distributed/ Source: Simon Willison’s Weblog Title: Run DeepSeek R1 or V3 with MLX Distributed Feedly Summary: Run DeepSeek R1 or V3 with MLX Distributed Handy detailed instructions from Awni Hannun on running the enormous DeepSeek R1 or v3 models on a cluster of Macs using the distributed communication feature of Apple’s MLX library.…
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CSA: How Can SaaS Businesses Simplify Compliance Challenges?
Source URL: https://www.vanta.com/resources/saas-compliance Source: CSA Title: How Can SaaS Businesses Simplify Compliance Challenges? Feedly Summary: AI Summary and Description: Yes Summary: This text provides valuable insights into the complexities of SaaS compliance, emphasizing its significance for IT managers in navigating various regulatory landscapes. It outlines key compliance areas, notable regulations, and best practices for effectively…
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Schneier on Security: AI Mistakes Are Very Different from Human Mistakes
Source URL: https://www.schneier.com/blog/archives/2025/01/ai-mistakes-are-very-different-from-human-mistakes.html Source: Schneier on Security Title: AI Mistakes Are Very Different from Human Mistakes Feedly Summary: Humans make mistakes all the time. All of us do, every day, in tasks both new and routine. Some of our mistakes are minor and some are catastrophic. Mistakes can break trust with our friends, lose the…
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Hacker News: What I’ve learned about writing AI apps so far
Source URL: https://seldo.com/posts/what-ive-learned-about-writing-ai-apps-so-far Source: Hacker News Title: What I’ve learned about writing AI apps so far Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides insights on effectively writing AI-powered applications, specifically focusing on Large Language Models (LLMs). It offers practical advice for practitioners regarding the capabilities and limitations of LLMs, emphasizing…
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Hacker News: Kimi K1.5: Scaling Reinforcement Learning with LLMs
Source URL: https://github.com/MoonshotAI/Kimi-k1.5 Source: Hacker News Title: Kimi K1.5: Scaling Reinforcement Learning with LLMs Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces Kimi k1.5, a new multi-modal language model that employs reinforcement learning (RL) techniques to significantly enhance AI performance, particularly in reasoning tasks. With advancements in context scaling and policy…