Experimental News Clipping Site

Tag: large

  • Hacker News: Contemplative LLMs

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    Kurt Seifried
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    Source URL: https://maharshi.bearblog.dev/contemplative-llms-prompt/ Source: Hacker News Title: Contemplative LLMs Feedly Summary: Comments AI Summary and Description: Yes **Short Summary with Insight:** The text discusses the novel approach of prompting Large Language Models (LLMs) to engage in a contemplation phase before generating answers. By mimicking a reasoning process, which encourages exploration and questioning assumptions, this method…

  • Hacker News: Ask HN: Pull the curtain back on Nvidia’s CES keynote please

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    Kurt Seifried
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    Source URL: https://news.ycombinator.com/item?id=42670808 Source: Hacker News Title: Ask HN: Pull the curtain back on Nvidia’s CES keynote please Feedly Summary: Comments AI Summary and Description: Yes Summary: The text highlights a professional’s skepticism regarding the transformative potential of AI and LLMs in engineering, despite optimistic industry visions like those presented by NVIDIA. It calls for…

  • Hacker News: Phi4 Available on Ollama

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    Kurt Seifried
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    Source URL: https://ollama.com/library/phi4 Source: Hacker News Title: Phi4 Available on Ollama Feedly Summary: Comments AI Summary and Description: Yes Summary: The text describes Phi 4, a state-of-the-art language model focusing on generative AI capabilities. It highlights the model’s design, enhancements for safety and accuracy, and its primary and out-of-scope use cases, along with regulatory considerations.…

  • Simon Willison’s Weblog: Agents

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jan/11/agents/ Source: Simon Willison’s Weblog Title: Agents Feedly Summary: Agents Chip Huyen’s 8,000 word practical guide to building useful LLM-driven workflows that take advantage of tools. Chip starts by providing a definition of “agents" to be used in the piece – in this case it’s LLM systems that plan an approach and then…

  • Hacker News: My AI/LLM predictions for the next 1, 3 and 6 years

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jan/10/ai-predictions/ Source: Hacker News Title: My AI/LLM predictions for the next 1, 3 and 6 years Feedly Summary: Comments AI Summary and Description: Yes Summary: The text presents predictions regarding AI and Large Language Models (LLMs) over the next one, three, and six years, with insights into their potential applications, limitations, and societal…

  • Slashdot: Database Tables of Student, Teacher Info Stolen From PowerSchool In Cyberattack

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    Kurt Seifried
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    Source URL: https://yro.slashdot.org/story/25/01/10/2059204/database-tables-of-student-teacher-info-stolen-from-powerschool-in-cyberattack?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Database Tables of Student, Teacher Info Stolen From PowerSchool In Cyberattack Feedly Summary: AI Summary and Description: Yes Summary: The text describes a significant cybersecurity breach involving PowerSchool, a leading education software provider, where personal data of millions of students and educators was compromised. This incident highlights vulnerabilities associated…

  • Hacker News: I Program with LLMs

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    Kurt Seifried
    in

    Source URL: https://arstechnica.com/ai/2025/01/how-i-program-with-llms/ Source: Hacker News Title: I Program with LLMs Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the author’s personal experiences and insights from using generative AI models, specifically large language models (LLMs), in programming. It emphasizes the productivity benefits derived from LLMs and introduces a tool in development…

  • Hacker News: Learning How to Think with Meta Chain-of-Thought

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    Kurt Seifried
    in

    Source URL: https://arxiv.org/abs/2501.04682 Source: Hacker News Title: Learning How to Think with Meta Chain-of-Thought Feedly Summary: Comments AI Summary and Description: Yes Summary: The document presents a novel framework called Meta Chain-of-Thought (Meta-CoT) aimed at enhancing reasoning capabilities in Large Language Models (LLMs). This framework is positioned to advance AI behavior toward more human-like reasoning,…

  • Slashdot: See the Thousands of Apps Hijacked To Spy On Your Location

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    Kurt Seifried
    in

    Source URL: https://yro.slashdot.org/story/25/01/10/0056202/see-the-thousands-of-apps-hijacked-to-spy-on-your-location?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: See the Thousands of Apps Hijacked To Spy On Your Location Feedly Summary: AI Summary and Description: Yes Summary: The report highlights a significant privacy concern involving popular apps that are being exploited to harvest sensitive location data through the advertising ecosystem. This data, which is aggregated by rogue…