Shypd.aiThe largest open index of AI toolsTo function in the real world, AI needs motivation is an academic research article exploring the necessity of motivation in AI systems for effective real-world operation. It argues that biological principles hold the key to developing motivated machines.
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This article, "To function in the real world, AI needs motivation," delves into the critical need for AI systems to possess motivation to operate effectively outside of controlled environments. Authored by computational neuroscientist Gaurav Suri, it posits that current AI models, including large language models, lack the intrinsic motivation seen in biological organisms to prioritize tasks, adapt to changing circumstances, and regulate their own actions. The piece advocates for AI architectures inspired by biology, particularly neural networks and neuromodulation, to enable machines to continuously rebalance competing demands and learn from consequential events, moving beyond fixed rules or reward functions.
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