Running Out Of Data: It Could Be A Concern
SMRTR summary
Data scarcity could slow AI progress by 2040, with a 20% chance of significant slowdown due to lack of high-quality training data. Experts warn that freely available data may be insufficient, as AI models require vast amounts of detailed, unbiased, and authentic information to function effectively.
SMRTR provides this summary for quick context. The original article belongs to Forbes.
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