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Practitioners using JSON-schema enforcement, formal grammars, and regex-based decoding are doing classical symbolic AI without naming it. Naming it changes how the next round of investment gets made.
Read moreRetrieval augmented generation became the default for grounding language model outputs. For domains where being wrong is expensive, knowledge augmented generation is the next move, and the reason it works is older than the technique.
Read moreDavis, Shrobe, and Szolovits defined knowledge representation through five roles in 1993. Used as a diagnostic, those five roles will tell you where any AI agent system is likely to fail before it does.
Read moreModern AI agents are not pure neural systems. They are hybrid systems whose reliability comes from specific symbolic investments made in the layer around the model. The pattern is selective, not universal.
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