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Goldman Sachs Is Wrong About AI (Why AI Isn't A Bubble)
The AI Daily Brief (Formerly The AI Breakdown): Artificial Intelligence News and Analysis
The Impact of Scaling Laws on AI Development
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The fundamental disagreement in AI development revolves around scaling laws, with perspectives differing on the effect of increasing data and compute capacity on AI models. While some believe that doubling data and compute capacity leads to doubled AI capabilities, others challenge this view, pointing out the complexity of measuring AI improvement and its practical application in tasks like customer service. Proponents argue that continual scaling up of data and compute power will lead to exponential growth in AI capabilities, making tasks more cost-effective, less fragile, and enabling more complex operations. The debate on the extent to which scaling laws affect AI development is crucial in determining the effectiveness of current AI approaches and the necessity of exploring alternative methods to achieve Artificial General Intelligence (AGI). This nuanced discussion presents a significant aspect of AI development, holding the potential to shape the future of AI technology and its practical applications.
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