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Summary: Our ability to process sentences relies on the dynamic nature of working memory, where information is stored and integrated with our future intentions.

New research reveals that visual memories adapt according to our future use of that information. These findings challenge conventional theories arguing that our working memory’s neural codes remain unchanged over time.

Instead, the study reveals that our brains dynamically reformat these memories to better align with potential future actions based on these recollections.

(Suggested reading: “The Non-things”, Byung-Chul Han).

The idea that human connection will be crucial in the age of superintelligence is not uncommon among some experts and futurists. Superintelligence refers to a hypothetical form of artificial intelligence that surpasses human intelligence across all domains. Some individuals, including scientists and technologists, have expressed concerns about the potential impact of superintelligence on humanity.

Some argument that if superintelligence were to become a reality, it could bring about profound changes to society and the way we live. In such a scenario, human traits and values like compassion, empathy, and emotional connections could become even more critical to preserve our uniqueness and counterbalance the overwhelming capabilities of superintelligent machines. The idea is that our ability to connect with each other emotionally and maintain a sense of community, compassion, and mutual understanding could provide a counterpoint to the cold and logical calculations of superintelligent AI. This human element might serve as a safeguard against potential negative consequences or misuse of superintelligence.

Investigadores de Singapur están utilizando inteligencia artificial para observar escáneres cerebrales y recrear las imágenes que se ven. Lynda Kinkade, de CNN, informa de que es esencialmente como “leer” la mente de una persona.

#inteligenciaartificial.

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Dissipation affects the time asymmetry of fluctuations in systems out of thermodynamic equilibrium. A newly discovered inequality elucidates that connection.

The emergent field of stochastic thermodynamics uses random variables to investigate the dynamics of microscopic systems that operate out of thermodynamic equilibrium, such as active matter and metabolic pathways. Now Naruo Ohga and two colleagues at the University of Tokyo have applied tools from stochastic thermodynamics to uncover a universal law that could find broad applications in the description of active matter, cell metabolism, and other systems whose continuous supply of energy keeps them out of equilibrium [1] (Fig. 1.)

When a thermodynamic system is close to equilibrium, the fluxes of physical quantities, such as energy and electric charge, are linearly proportional to thermodynamic forces, such as temperature gradients and voltage differences. The coefficients connecting the fluxes and forces are symmetric, meaning that the one relating flux A to force B is the same as the one relating flux B to force A. Such symmetries are known as Onsager’s reciprocal relations [2]. At the microscopic level, their origin can be attributed to the time-reversal symmetry of the cross-correlation function between two physical quantities at equilibrium.