Wrong! If an AI leverages symbolic operations (conditionals, operations over variables, code interpreters, etc) and neural networks it is ne…

Wrong! If an AI leverages symbolic operations (conditionals, operations over variables, code interpreters, etc) and neural networks it is neurosymbolic. If it doesn’t, it’s not. ( I laid all of this out in 2001 and dozens of articles since then.) What has changed is NOT the definitions, but what people are doing. Over the last three years neurosymbolic has won, plain and simple, fair and square. If it works, it's "neurosymbolic" If it doesn't, it's "plain LLMs"

Among proponents of neurosymbolic architectures, there had been some debate over the years about whether the outer level would be symbolic (…
Checkmate: you can’t take the harness (which is typically in large part symbolic) away from the neural model without giving up performance. …
@GaryMarcus Marcus isn't wrong. Everyone bolts tools onto transformers because they hit walls fast. Neurosymbolic AI is rising for a reason:…
💯. “@garymarcus has won, others too” And the smart people already know it. AGI requires both symbols and neural networks. Period.
neurosymbolic world models – exactly what I argued for in 2020 in the Next Decade in AI – for the win.

Source: Gary Marcus (X) | 2026-08-15

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