Safety

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…

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 LLMs anymore. Nowadays all deployed objects are neurosymbolic,

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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 LLMs anymore. Nowadays all deployed objects are neurosymbolic, which was exactly the point of my infamous 2022 paper, Deep Learning is Hitting a Wall. If you don’t know I won, it’s because you read the title and not the paper 🤷‍♂️ This is true in the narrow sense, but it also points to why the “pure LLM” debate is becoming less central. The deployed object is not a pure LLM. It is a language model embedded in a tool-using execution stack: retrieval, code, memory, verifiers, APIs, agents, symbolic constrain…

Source: Gary Marcus (X) | 2026-05-18

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