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Bio-inspired AI

Does ‘fear’ serve as a fundamental factor in developing more flexible, robust, and organic AI systems?

Artificial general intelligence (AGI), also known as superintelligence, is the ultimate goal of AI research. It aims to create autonomous systems capable of performing a wide range of tasks as humans do. However, the concept of AGI is still elusive, with critics arguing that current AI systems can never achieve general intelligence. They cite limitations…

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Could “anxiety” be crucial in developing more flexible, robust, and organic AI systems?

The pursuit of artificial general intelligence (AGI), where an AI can perform tasks similar to a human, is at the forefront of research. This involves complex systems mimicking behaviors observed in natural organisms. Despite this, the belief that AI cannot obtain natural intelligence is prevalent. Some limitations of AI include its inability to navigate unpredictable…

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The Contradiction of Inquisitiveness in the Era of Artificial Intelligence

There has been a wide-ranging debate on whether curiosity that drives technology research and development could also magnify risks associated with AI systems. Current AI manipulations and their misuse have shown us how curiosity can be both a source of progress and a harbinger of danger. One example is ChatGPT, which appeared to lose its…

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Researchers suggest techniques for constructing linked “Collective AI”

Scientists from Loughborough University, MIT, and Yale have introduced a concept titled 'Collective AI,’ proposing a framework called Shared Experience Lifelong Learning (ShELL). This approach supports the development of decentralized AI systems comprised of multiple independent agents that continually learn and share knowledge. The researchers compare this model to a 'hive mind,' stating it could…

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Discussions on AI awareness and consciousness were reignited by the third installment of Claude.

Anthropic's latest AI model, Claude 3 Opus, has raised debates over machine self-awareness in the AI community by allegedly displaying signs of meta-awareness. During an internal testing of the model, Opus showed an unexpected level of understanding by identifying an irrelevant sentence within a block of text and commenting on its incongruence, astounding the engineer…

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