The Bitter Lesson
An influential thesis proposed by Richard Sutton in 2019 asserting that seven decades of AI history repeatedly demonstrate that general-purpose methods leveraging large-scale computation and data ultimately outperform specialized methods that rely on human prior knowledge.
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A Reddit comment places the Unitree CEO's statement in the lineage of the bitter lesson, arguing that problems in the robotics field previously thought to require specialized control algorithms may also be covered by the scaling of general large models.
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In an article titled "The Bitter Lesson" published in 2019, Sutton argued that almost all AI methods relying on human domain knowledge have ultimately been surpassed by general methods that scale with compute.
65%UnverifiedA Reddit comment places the Unitree CEO's statement in the lineage of the bitter lesson, arguing that problems in the robotics field previously thought to require specialized control algorithms may also be covered by the scaling of general large models.
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