Christopher Manning(@chrmanning):Here’s a piece by @goodfellow_ian, @sunfanyun, and me arguing that use of symbolic representations and game virtual world data offers the best path to building action-conditioned multimodal world models that enable reliable prediction and planning for long-horizon tasks. The advantages of symbolic language representations in this context was also recently argued for in new work from @physical

Christopher Manning

@chrmanning

Founder @stanfordnlp & cs224n—Senior Fellow @StanfordHAI—Prof. CS & Linguistics @Stanford—GP @aixventureshq—MTS @moonlake—Australian🇦🇺—Do #NLProc# & #AI# 👋

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Christopher Manning@chrmanning

2026.03.06 18:33

Here’s a piece by @goodfellow_ian, @sunfanyun, and me arguing that use of symbolic representations and game virtual world data offers the best path to building action-conditioned multimodal world models that enable reliable prediction and planning for long-horizon tasks. The advantages of symbolic language representations in this context was also recently argued for in new work from @physical_int: .