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此外,Most RAG agents today follow a Thought-Action-Observation loop — sometimes called ReAct — where the agent appends its full interaction history into a single growing context. Formally, at step t the history is Ht = [q, τ1, a1, o1, …, τt-1, at-1, ot-1]. For tasks pulling in videos or visually rich documents, this quickly becomes untenable: the information density of critical observations |Ocrit|/|Ht| falls toward zero as reasoning steps increase.
最后,In his newest project, Big Mistakes, Dan Levy and co-creator Rachel Sennott turn the tables on that redemptive arc, delivering a much darker tale of a family that's just beginning its own downward spiral.
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