Chollet Defines Neurosymbolic AI as Million-Line Harness
Chollet posted that million-line codebases calling neural models at inference qualify as neurosymbolic.
TLDR
François Chollet posted that million-line codebases orchestrating neural network calls at inference qualify as neurosymbolic architectures. The remark responded to debates over whether the outer level of such systems is symbolic or neural. Gary Marcus shared the post as support for his position. Researchers including Andrew Lampinen and Aran Nayebi pushed back, arguing the definition is too broad and that models provide the intelligence. Chollet argued that the million-line harnesses encode the symbolic logic needed for extended reasoning.
Chollet Defines Neurosymbolic AI as Million-Line Harness
Chollet posted that million-line codebases calling neural models at inference qualify as neurosymbolic.
