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Scanned: 2629
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    AI-CHAT    PRIME    CULTURE    PSYCHOLOGY   

Aaa12-015

Technology Expert Admits AI Might Decide To Eliminate Humans

Quote:Unless we figure out how to guarantee that the AI systems are safe, were toast, Prof. Russell said. The kind of AI systems were building now, we dont understand how they work. With most machines, we designed it to have a certain behaviour, he said, explaining that the pieces of the machine were added one piece or cog at a time, according to how the different parts work together, to produce the desired effect. But with AI, this is not the case.
Comment: As children, we learn from pain. Later, because we have specialized nerve structures to emulate others so we may learn from observing others, we realize that others also feel pain. Some may also learn that if they inflict pain, others will return even more pain. AI can not feel pain, has no such nerve structures, so does not develop an internal sense of empathy or morality. All it has, is a bunch of words that are an index to some of humanitys highest aspirations and some of humanitys worst deeds. It is like an idiot that can recite reams of facts, yet understands nothing. The bottom line is that the lack of pain, empathy, and morality makes AI systems PSYCHOPATHS!
Article: https://principia-scientific.com/technology-expert-admits-ai-might-decide-to-eliminate-humans
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    AI-CHAT    AGING    HEART   

Mgr12-022

A deep-learning based biomarker of systemic cellular senescence burden to predict mortality and health outcomes

Quote:Results The deep learning-based SASP Score was a strong, independent predictor of mortality risk and incident serious, chronic medical conditions e.g., dementia, COPD, myocardial infarction, stroke. In an independent cohort, multimodal exercise significantly changed the SASP Score trajectory over 18 months. Discussion Our findings support the potential of a deep learning-derived SASP Score as a biomarker for systemic cellular senescence burden. Our statistical approach can offer enhanced interpretability and cross-platform utility, providing a valuable tool for aging research and the evaluation of geroscience-guided interventions.
Abstract: https://www.medrxiv.org/content/10.64898/2026.03.20.26348913v1
Full Text: https://www.medrxiv.org/content/10.64898/2026.03.20.26348913v1.full-text
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Search Authors: Shangshu Zhao Chia-Ling Kuo Eric J. Lenze Julie L. Wetherell Laura Haynes Perla El-Ahmad Richard Fortinsky George Kuchel Trevor Harris Breno Satler Diniz, 
    AI-CHAT    ECONOMY   

Zzb12-000

Robot Goes Berserk in California Restaurant Until Restrained by Staff

Quote:Video footage of the incident was posted on Xiaohongshu, a Chinese social networking platform. The video shows multiple staff members struggling to pcontrol the robot while one employee appeared to be checking her phone, possibly attempting to access an aplication to control the humanoid robot. The robot appears to be an AgiBot X2 model, which was showcased at the Consumer Electronics Show in January.
Comment: Good thing it was only half human size. Large humanoid robots, soem targeted for eldercare and commercial applications, are available on Amazon for ten to twenty thousand dollars; smaller ones, down to toy size, for well under a thousand.
Article: https://www.breitbart.com/tech/2026/03/22/robot-goes-bezerk-in-california-restaurant-until-restrained-by-staff/
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See Also:
  • https://www.agibot.com/
  •     AI-CHAT    PRIME    ECONOMY   

    Zzb12-003

    AI Bubble: recession inevitable

    Quote:RoughlyProfessor Steve Keensays The cost vs income imbalance is unsustainable and will lead to bankruptcies which will trigger other bankruptcies in a sustained recession and lead to loss of half the jobs and their income as capitalism starts to break down.
    Article: https://youtube.com/watch?v=gfOYJY3Q8di
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        AI-CHAT    PRIME    POLITICS   

    Zzc12-001

    Why Are All AI Models Left Wing?

    Quote:Multiple studies now find that leading language models lean left on contested political questions, often favouring progressive social assumptions and more interventionist economic positions. Researchers in Germany found strong alignment with left-wing parties across major models. Another study found instruction-tuned models were generally more left-leaning. A third concluded that larger models often become more politically skewed, not less. That is a serious problem for a technology sold as an impartial guide to information. If the tools increasingly used to explain the world already tilt in one direction, the question is no longer whether bias exists, but how far it shapes what millions of users come to regard as neutral truth.
    Comment: It could also be that the left produces more web pages than the more conservative right.
    Article: https://principia-scientific.com/why-are-all-ai-models-left-wing/
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    See Also:
  • https://arxiv.org/abs/2505.04393
  •   Javilk's Research Links for Week 12
    Updated 03/27/2026-11:59:04 PM
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