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🔬 research2026-03-31T11:15:00.000Z

Scaling Laws: Why Bigger Isn't Always Better

Two landmark papers revealed that AI model performance follows predictable mathematical laws—and that the industry was training models wrong. The Chinchilla paper showed that a 70B model trained on more data could outperform models 4× its size, reshaping how every major AI lab builds models today.

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