Mr. Thomas Papalaskaris | Municipality of Kavala | Greece

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Switching off AI's ability to lie makes it more likely to claim it's conscious, eerie study finds

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  Large language models (LLMs) are more likely to report being self-aware when prompted to think about themselves if their capacity to lie is suppressed, new research suggests. In experiments on artificial intelligence (AI) systems including GPT, Claude and Gemini, researchers found that models that were discouraged from lying were more likely to describe being aware or having subjective experiences when prompted to think about their own thinking. Although all models could claim this to some extent, such claims were stronger and more common when researchers suppressed their ability to roleplay or give deceptive responses. In other words, the less able AI models were to lie, the more likely they were to say they were self-aware. The team published their findings Oct. 30 on the preprint arXiv server. While the researchers stopped short of calling this conscious behavior, they did say it raised key scientific and philosophical questions — particularly as it only happened under condit...
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AI Breakthrough Finally Cracks Century-Old Physics Problem

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  An AI framework now computes once-impossible physics equations within seconds. The breakthrough redefines how scientists study the behavior of materials. Researchers at the University of New Mexico and Los Alamos National Laboratory have created an advanced computational framework that solves a major problem that has challenged statistical physicists for decades. Known as the Tensors for High-dimensional Object Representation (THOR) AI framework, the system uses tensor network algorithms to efficiently compress and analyze vast configurational integrals and partial differential equations. These equations are fundamental for determining how materials behave under different thermodynamic and mechanical conditions. By combining tensor networks with machine learning potentials, which represent interatomic forces and atomic motion, the researchers achieved accurate, scalable simulations of materials across a wide range of physical environments. “The configurational integral — which c...
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Bistable Gene Expression in Pseudomonas Aeruginosa

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  Recent research has uncovered that the bacterium Pseudomonas aeruginosa exhibits bistable gene expression, a phenomenon where identical cells show different levels of gene activity. This discovery sheds light on how this deadly pathogen adapts and survives in hostile environments such as hospitals. The study focuses on the glpD gene, which shows variable expression linked to the bacterium’s ability to cause infections. Understanding this mechanism is crucial because P. aeruginosa is a major cause of hospital-acquired infections and is often resistant to antibiotics. Bistability in Microorganisms Bistability refers to the existence of two distinct expression states of the same gene within genetically identical cells. This variation can be inherited by daughter cells, a process called epigenetic inheritance. It allows bacteria to diversify their behaviour and adapt to changing environments. In Pseudomonas aeruginosa, bistability may help the pathogen survive immune responses and a...
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