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The Bitter Lesson
The Bitter Lesson
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state theorem
Rich Sutton's "Bitter Lesson" (2019) argues that a specific pattern has repeatedly determined which AI approaches succeed over decades. What is the core claim?
Hide and think first
A.
Neural networks are fundamentally limited by their reliance on backpropagation, which is not a biologically plausible learning rule
B.
General methods that leverage computation (search and learning) consistently outperform methods that encode human domain knowledge as compute scales
C.
Specialized architectures always outperform general-purpose ones because they encode important domain-specific inductive biases
D.
Symbolic AI approaches will eventually return to dominance once compute catches up with their theoretical expressive power
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