The AI "hype train" is causing turbulence as we head into earnings season. Mentioning AI used to be enough to excite Wall Street, but now a more critical view is emerging.
The lofty promises of AI come with hefty price tags. From significant environmental impacts to massive hardware costs, the justification for Big Tech's sky-high valuations is being questioned, especially given the unpredictable nature of AI progress.
As earnings season approaches, AI remains a focal point for several major stocks. However, growing skepticism suggests that the promised returns may not materialize.
The vast amount of content available online, which fuels advanced AI models, is not infinite. This scarcity has led AI companies to scramble for more data, resorting to methods like using copyrighted material, converting videos to text, or employing AI-generated content for training.
However, using synthetic data compromises the quality and reliability of AI models, as res ...
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