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I wonder if the graph part is a distraction (data representation / syntax), and once you step back, if/how this relates to the wider concept of 'durable task li
by lmeyerov 9d ago
I wonder if the graph part is a distraction (data representation / syntax), and once you step back, if/how this relates to the wider concept of 'durable task lists' used in this kind of structured dynamic planning.
Ex: Durable task lists generally use more textual representations, eg, a hierarchical text list that supports named references -- so a graph. Likewise, they're mutable, contain statuses, etc. They're fairly popular and AI models at this point have internalized them at this point.
- NBJack 9d agoI mean, sentences themselves are graphs of data and context with connectors of various types. Embeddings within these models help form the links to the underlying semantic concepts. Directly representing things as a graph would likely reduce some of the 'translation overhead', done correctly.
- lmeyerov 9d agoVery much agreed in the former I'm not so sure on the latter -- that introduces a bunch of tool calls, while the text patches are much closer to the semantic space imo and easy for harnesses If we rephrase this as instruction following alignment, what is the concern here in practice vs a skill? (Which a model eventually internalizes) It doesn't detract from the research - as a paper, it shows more crisply the structure is useful. I'm just not sure how necessary the encoding, and given durable tasks, novel the insight. Is there new alpha here somewhere, esp given the similarity?