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  4. How LLMs Learn from the Internet: The Training Process#LLMs https://share.google/R7w0FBUiIByrclGmk

How LLMs Learn from the Internet: The Training Process#LLMs https://share.google/R7w0FBUiIByrclGmk

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How LLMs Learn from the Internet: The Training Process#LLMs https://share.google/R7w0FBUiIByrclGmk

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  • gert@poliversity.itundefined

    Language models cannot reliably distinguish belief from knowledge and fact

    Uncategorized llms epistemology knowledge
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    gert@poliversity.itundefined
    Language models cannot reliably distinguish belief from knowledge and factAbstract-----------«As language models (LMs) increasingly infiltrate into high-stakes domains such as law, medicine, journalism and science, their ability to distinguish belief from knowledge, and fact from fiction, becomes imperative. Failure to make such distinctions can mislead diagnoses, distort judicial judgments and amplify misinformation. Here we evaluate 24 cutting-edge LMs using a new KaBLE benchmark of 13,000 questions across 13 epistemic tasks. Our findings reveal crucial limitations. In particular, all models tested systematically fail to acknowledge first-person false beliefs, with GPT-4o dropping from 98.2% to 64.4% accuracy and DeepSeek R1 plummeting from over 90% to 14.4%. Further, models process third-person false beliefs with substantially higher accuracy (95% for newer models; 79% for older ones) than first-person false beliefs (62.6% for newer; 52.5% for older), revealing a troubling attribution bias. We also find that, while recent models show competence in recursive knowledge tasks, they still rely on inconsistent reasoning strategies, suggesting superficial pattern matching rather than robust epistemic understanding. Most models lack a robust understanding of the factive nature of knowledge, that knowledge inherently requires truth. These limitations necessitate urgent improvements before deploying LMs in high-stakes domains where epistemic distinctions are crucial.»#ai #LLMs #epistemology #knowledgehttps://www.nature.com/articles/s42256-025-01113-8
  • metin@graphics.socialundefined

    A remarkably prophetic 1923 cartoon depicting how a creative process would be automated in 2023.

    Uncategorized cartoon tech technology bigtech artificialintelligence llm llms
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    metin@graphics.socialundefined
    A remarkably prophetic 1923 cartoon depicting how a creative process would be automated in 2023.#cartoon #tech #technology #BigTech #AI #ArtificialIntelligence #LLM #LLMs #MachineLearning #GenAI #generativeAI #AISlop #Meta #Google #gemini #OpenAI #ChatGPT #anthropic #claude
  • r_alb@mastodon.socialundefined

    The @EUCommission wants to offer our digital privacy to slop-machine-makers on a silver platter!

    Uncategorized omnibus gdpr privacy llms irresponsibletech humanrights
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    r_alb@mastodon.socialundefined
    The @EUCommission wants to offer our digital privacy to slop-machine-makers on a silver platter!Why are they forcing us to enable those who are harming so many of us? Do we really need more irresponsible and dangerous tech in our lives? And for what? So that the European Union can have their share of economic turmoil once this awful bubble bursts?This is wrong, plain and simple!--#omnibus #GDPR #privacy #LLMs #irresponsibleTech #humanRights
  • metin@graphics.socialundefined

    Interesting initiative ─ A SETI-like, decentralized approach to AI…

    Uncategorized artificialintelligence llm llms machinelearning tech technology bigtech
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    metin@graphics.socialundefined
    Interesting initiative ─ A SETI-like, decentralized approach to AI…https://www.theregister.com/2025/11/02/fortytwo_dcentralized_ai/#AI #ArtificialIntelligence #LLM #LLMs #MachineLearning #tech #technology #BigTech #GenAI #generativeAI #Meta #Google #OpenAI #ChatGPT