Tag: exploration
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CSA: What is Protocol Break? Isolate Attackers in the Cloud
Source URL: https://blog.reemo.io/what-is-protocol-break-a-deep-defense-to-isolate-attackers-in-the-cloud Source: CSA Title: What is Protocol Break? Isolate Attackers in the Cloud Feedly Summary: AI Summary and Description: Yes **Summary:** The text discusses the increasingly crucial need for secure remote access and explores the concept of protocol break, emphasizing its significance in cloud security. It highlights how protocol break can isolate systems,…
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Hacker News: SOTA on swebench-verified: relearning the bitter lesson
Source URL: https://aide.dev/blog/sota-bitter-lesson Source: Hacker News Title: SOTA on swebench-verified: relearning the bitter lesson Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses advancements in AI, particularly around leveraging large language models (LLMs) for software engineering challenges through novel approaches such as test-time inference scaling. It emphasizes the key insight that scaling…
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Slashdot: Religious Leaders Experiment With AI In Sermons
Source URL: https://slashdot.org/story/25/01/08/0015223/religious-leaders-experiment-with-ai-in-sermons Source: Slashdot Title: Religious Leaders Experiment With AI In Sermons Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the innovative use of AI in religious contexts, highlighting Rabbi Josh Fixler’s experience with an AI chatbot that generates and delivers sermons. This development reflects a broader trend of religious leaders…
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Hacker News: How I Program with LLMs
Source URL: https://crawshaw.io/blog/programming-with-llms Source: Hacker News Title: How I Program with LLMs Feedly Summary: Comments AI Summary and Description: Yes **Short Summary with Insight:** The document shares personal experiences and insights on integrating large language models (LLMs) into programming workflows. The author emphasizes the productivity benefits derived from using LLMs for tasks like autocompletion, search…
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Simon Willison’s Weblog: Quoting Colin Fraser
Source URL: https://simonwillison.net/2025/Jan/4/colin-fraser/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Colin Fraser Feedly Summary: Claude is not a real guy. Claude is a character in the stories that an LLM has been programmed to write. Just to give it a distinct name, let’s call the LLM “the Shoggoth". When you have a conversation with Claude, what’s…
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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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Hacker News: A path to O1 open source
Source URL: https://arxiv.org/abs/2412.14135 Source: Hacker News Title: A path to O1 open source Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses advancements in artificial intelligence, particularly focusing on the reinforcement learning approach to reproduce OpenAI’s o1 model. It highlights key components like policy initialization, reward design, search, and learning that contribute…
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Hacker News: What we learned copying all the best code assistants
Source URL: https://blog.val.town/blog/fast-follow/ Source: Hacker News Title: What we learned copying all the best code assistants Feedly Summary: Comments AI Summary and Description: Yes Summary: This text provides a historical overview of Val Town’s journey in developing LLM-driven code generation tools, highlighting innovations and challenges faced in the evolving landscape of AI-powered coding assistants. It…