Experimental News Clipping Site

Tag: uncertainty

  • Hacker News: Onlookers freak out as 25-year-old set loose on Treasury computer system

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    Kurt Seifried
    in

    Source URL: https://www.rawstory.com/musk-treasury-doge/ Source: Hacker News Title: Onlookers freak out as 25-year-old set loose on Treasury computer system Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The article discusses concerns over Marko Elez, a 25-year-old engineer previously associated with Elon Musk, gaining “read-and-write” access to fundamental U.S. Treasury Department systems that handle Social Security…

  • Slashdot: Panasonic To Cut Costs To Support Shift Into AI

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    Kurt Seifried
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    Source URL: https://slashdot.org/story/25/02/04/1738246/panasonic-to-cut-costs-to-support-shift-into-ai?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Panasonic To Cut Costs To Support Shift Into AI Feedly Summary: AI Summary and Description: Yes Summary: Panasonic is shifting focus from consumer electronics to AI data centers, indicating a significant transformation in its business strategy. This pivot could be particularly relevant for professionals in AI and cloud computing…

  • Hacker News: Show HN: Klarity – Open-source tool to analyze uncertainty/entropy in LLM output

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    Kurt Seifried
    in

    Source URL: https://github.com/klara-research/klarity Source: Hacker News Title: Show HN: Klarity – Open-source tool to analyze uncertainty/entropy in LLM output Feedly Summary: Comments AI Summary and Description: Yes **Summary:** Klarity is a robust tool designed for analyzing uncertainty in generative model predictions. By leveraging both raw probability and semantic comprehension, it provides unique insights into model…

  • Hacker News: Large Language Models Think Too Fast to Explore Effectively

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    Kurt Seifried
    in

    Source URL: https://arxiv.org/abs/2501.18009 Source: Hacker News Title: Large Language Models Think Too Fast to Explore Effectively Feedly Summary: Comments AI Summary and Description: Yes Summary: The paper titled “Large Language Models Think Too Fast To Explore Effectively” investigates the exploratory capabilities of Large Language Models (LLMs). It highlights that while LLMs excel in many domains,…