Gary Marcus: neurosymbolic AI pairs reliable deterministic software with capable but unreliable ML
williamtp · x · 2026-09-03
Gary Marcus amplified a point he calls simple but critical for anyone discussing AI: neurosymbolic methods combine highly capable but unreliable machine learning ("neuro") with highly reliable but less capable deterministic software ("symbolic") to get the best of both worlds. It restates his long-standing argument that determinism of classical software should compensate for ML's unreliability.
Related event: Gary Marcus: neurosymbolic AI rescues plateauing pure LLM scaling(4 posts)→
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