The Advantages and Disadvantages of Machine Learning

The transcript discusses the evolution of AI into machine learning, emphasizing the distinction between the two. It highlights the role of data in enhancing machine learning capabilities and the potential benefits and threats it poses. The limitations of machine learning, particularly in reading comprehension and deriving deep insights, are explored. The discussion concludes with predictions about future advancements in machine learning, such as improved accuracy in predicting company earnings, while noting the challenges that remain.

How does the speaker describe the relationship between the amount of data and the cost of processing it?

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What is the speaker's perspective on the future capabilities of machines in predicting company earnings?

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