Probabilistic programming advocate: hybrid AI architectures are the realistic path
xuanalogue · x · 2026-09-16
In a discussion on the 'engineered vs grown' AI route, xuanalogue places their view between Josh Tenenbaum, Vikash Mansinghka and Stuart Russell: an ambitious fully-engineered, interpretable AI is possible, but the realistic outcome is hybrid — keeping the efficiency of learned systems while using probabilistic programming to restore interpretability and reasoning. They point newcomers to talks by those three researchers.
Related event: Probabilistic Programming Camp Debates Engineered vs. Grown AI(6 posts)→
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