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Pure scaling of LLMs did actually hit a wall; neurosymbolic AI rescued it. AI didn’t hit a plateau; pure LLMs did — until people used harnes…
Pure scaling of LLMs did actually hit a wall; neurosymbolic AI rescued it. AI didn’t hit a plateau; pure LLMs did — until people used harnesses and tools to complement their weaknesses. Which was alwa
Pure scaling of LLMs did actually hit a wall; neurosymbolic AI rescued it. AI didn’t hit a plateau; pure LLMs did — until people used harnesses and tools to complement their weaknesses. Which was always always always the point of neurosymbolic AI in the first place.
Related
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- The pure LLM debate - which I had for many years, here and elsewhere - is indeed no longer relevant. Why? Because I won; nobody uses pure LL…
- @GaryMarcus The symbolic tools point is underrated. If harnesses and verification are doing the heavy lifting, that changes the scaling stor…
- @GaryMarcus Marcus isn't wrong. Everyone bolts tools onto transformers because they hit walls fast. Neurosymbolic AI is rising for a reason:…
Source: Gary Marcus (X) | 2026-09-01