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AI Models Can Evolve in Accordance with a Newly Discovered Natural Law

The universal evolution law suggests a bigger picture that includes both life on Earth and cosmic entities such as planets, stars, and minerals. It neatly sidesteps the limitations of Darwin’s evolutionary framework, positioning it as merely one aspect of a larger scientific narrative. This groundbreaking discovery stems from a collaborative effort among nine scientists from varying disciplines, revealing the ' law of increasing functional information', "'—a principle that elevates our understanding of biological evolution, much like how Einstein’s theory of relativity redefined our grasp of gravitational forces. This evolving natural framework posits that evolution is a phenomenon not restricted to earthly organisms but encompasses a wider array of complex systems, including artificial intelligence and general artificial intelligence (AGI). The fundamental idea is that any complex system is driven towards greater levels of order, diversity, and intricacy. GenAI Unveils Unmatched Analytical Capabilities, Asserts Patrick Mineault

According to the 'Law of Increasing Functional Information', a system begins to evolve when various configurations occur and are selected based on one or multiple functions. The concept of functional information serves to measure a system's condition, which can manifest in diverse forms, each requiring distinct levels of information to maintain a certain degree of 'functionality.' This functionality can range from basic stability in relation to other configurations to very specific tasks, like optimizing a particular enzymatic reaction.

Related : This principle is relevant to structures built from numerous components, such as atoms and molecules, which undergo continuous reorganization through natural processes to create an array of configurations. Still, only a minority of these formations endure through a process termed 'selection for function.' Evolution happens in both living and non-living systems when a new arrangement optimally performs its role and boosts its capabilities.

In the biological realm, Darwin primarily associated functionality with survival, which allows organisms to thrive long enough to reproduce viable offspring. However, contemporary studies build upon this framework by identifying at least three different functional dimensions within nature:

Stability: The configurations that demonstrate the greatest stability among various components tend to be selected for their resilience.

Energy Provision: Systems that maintain a more reliable energy supply are generally favored for their longevity.

  • Novelty: Systems in evolution often seek out new configurations, which can sometimes lead to the emergence of striking new traits or behaviors, such as photosynthesis.
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  • The implications of this new law are extensive, particularly when it comes to searching for life beyond our planet. If the enhancement of functionality in physical and chemical systems follows a universal natural law, then the emergence of life should be a common result of planetary evolution across the universe.
Related : As a result, prior investigations led by the study's principal authors, Michael Wong and Stuart Bartlett, delving into the concepts of 'Asymptotic Burnout and Homeostatic Awakening as Potential Solutions to the Fermi Paradox', "While this law predominantly pertains to natural systems, it offers significant insights for enhancing AI. Algorithms can align with this law by pursuing configurations that maximize both functionality and efficiency. The machine learning aspect, which forms the backbone of AI, may see progress as AI systems undergo evolution and adaptation. This could lead to the creation of AI technologies that can manage a wider array of tasks. Moreover, the law complements the evolutionary algorithms currently utilized in AI, hinting at future improvements in problem-solving and optimization capabilities. AI-integrated technologies can become more adaptable and successful in various environments. Additionally, the collaborative effort seen in the discovery of this law highlights the value of interdisciplinary approaches in AI research. In summary, the 'law of increasing functional information' encourages AI development to become increasingly adaptable, efficient, and competent, drawing inspiration from natural processes.

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New Natural Law Indicates Evolutionary Advancements in AI Models - Metaverse Post

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The principles of universal evolution apply not only to living beings but also to inanimate entities, going beyond the scope of Darwinian evolution to establish a foundational doctrine. This insight has emerged after centuries of thought, following Newton's discovery of universal gravitation and over a century since Darwin's pioneering work in evolutionary biology.

AI Models Show Potential to Evolve Under New Natural Law

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