The tech industry has seen a major resurgence in research and development (R&D) thanks to the emergence of artificial intelligence (AI). According to Yann LeCun, Chief AI Scientist at Meta, there are already many promising commercial applications that could lead to increased productivity. However, he believes that for AI technology to reach its full potential, it must develop an ability for planning.
LeCun explains that current AI systems have limited capabilities compared with human beings when it comes to problem-solving and decision-making. He suggests that this is because they lack the capacity for long-term goal-setting or strategic thinking, which humans possess naturally. Therefore if we want machines equipped with true artificial intelligence then they must be able to learn how to plan to achieve their goals effectively over time.
This is why R&D into new technologies, such as deep learning algorithms, is so important right now; these tools can help us create more sophisticated machine learning models capable of understanding complex tasks like planning and strategy formation – something traditional programming alone cannot do easily on its own yet remains essential in developing effective solutions powered by AI today.
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