The way we train AI is fundamentally flawed, bias, the compute divide
Last Week in AI
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Flaws in AI Training Methodologies
This chapter explores a recent Google paper revealing critical flaws in AI training methods, particularly the concept of 'under specification.' The hosts discuss how this impacts model performance on new data, highlighting the challenges of achieving reliable AI systems despite high training accuracy.
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