Experimental News Clipping Site

Tag: truthfulness

  • The Register: White House bans ‘woke’ AI, but LLMs don’t know the truth

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    Kurt Seifried
    in

    Source URL: https://www.theregister.com/2025/07/24/white_house_wants_no_woke_ai/ Source: The Register Title: White House bans ‘woke’ AI, but LLMs don’t know the truth Feedly Summary: They can only enforce consistency based on their training The White House on Wednesday issued an executive order requiring AI models used by the government to be truthful and ideologically neutral.… AI Summary and Description:…

  • Hacker News: Should We Use AI and LLMs for Christian Apologetics?

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    Kurt Seifried
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    Source URL: https://lukeplant.me.uk/blog/posts/should-we-use-llms-for-christian-apologetics/ Source: Hacker News Title: Should We Use AI and LLMs for Christian Apologetics? Feedly Summary: Comments AI Summary and Description: Yes **Short Summary with Insight:** The text presents a compelling argument against the use of large language models (LLMs) for generating responses, particularly in sensitive contexts such as Christian apologetics. The author…

  • Slashdot: Google is Using Anthropic’s Claude To Improve Its Gemini AI

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    system automation
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    Source URL: https://slashdot.org/story/24/12/24/176205/google-is-using-anthropics-claude-to-improve-its-gemini-ai?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Google is Using Anthropic’s Claude To Improve Its Gemini AI Feedly Summary: AI Summary and Description: Yes Summary: The text reports on contractors evaluating Google’s Gemini AI by comparing its outputs to those of competitor model Claude from Anthropic. The evaluation process involves rigorous criteria, highlighting industry’s competitive landscape…

  • Hacker News: Internal representations of LLMs encode information about truthfulness

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    system automation
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    Source URL: https://arxiv.org/abs/2410.02707 Source: Hacker News Title: Internal representations of LLMs encode information about truthfulness Feedly Summary: Comments AI Summary and Description: Yes Summary: The paper explores the issue of hallucinations in large language models (LLMs), revealing that these models possess internal representations that can provide valuable insights into the truthfulness of their outputs. This…