How the "bigger is better" mentality damages AI research


Something you'll hear a lot is that the increasing availability of compute resources has paved the way for important advances in artificial intelligence. With access to powerful cloud computing platforms, AI researchers have been able to train larger neural networks in shorter timespans. This has enabled AI to make inroads in many fields such as computer vision, speech recognition, and natural language processing. But what you'll hear less is the darker implications of the current direction of AI research. Currently, advances in AI is mostly tied to scaling deep learning models and creating neural networks with more layers and parameters.

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