The Most Underreported and Important Story in AI Right Now Is That Pure Scaling Has Failed to Produce AGI

Scaling AI has not led to AGI, despite heavy investments. The scaling hypothesis—adding data and computational power—is failing, as models exhibit unreliability and hallucinations. Experts, including Gary Marcus, argue for new solutions, emphasizing that existing strategies have limitations akin to past technological trends. Major companies must innovate beyond scaling to achieve reliable AI.

https://fortune.com/2025/02/19/generative-ai-scaling-agi-deep-learning/

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