Note that gpt-5 in a standard scaffold (Codex) lost to almost everyone, while in the ARTEMIS scaffold, it won. The key isn't the model itself, but the Triage Module and Sub-agents. Splitting roles into "Supervisor" (manager) and "Worker" (executor) with intermediate validation is the only viable pattern for complex tasks. This is a blueprint for any AI agent, not just in cybersec

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ACCount37 2 days ago | parent [-]

If you can do it by splitting roles explicitly, you can fold it into a unified model too. So "scaffolding advantage" might be a thing now, but I don't expect it to stay that way.

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vessenes 2 days ago | parent [-]

Is this true? I mean it’s true for any specific workflow, but I am not clear it’s true for all workflows - the power set of all workflows exceeds any single architecture, in my mind.

	▲	c7b 2 days ago \| parent \| next [-]
		Think of it in an end-to-end way: produce a ton of examples of final results of supervisor-worker agentic outputs and then train a model to predict those from the original user prompts straight away.
	▲	ACCount37 a day ago \| parent \| prev [-]
		It's not true for all workflows. But many of today's custom workflows are like the magic "let's think step by step" prompt for the early LLMs. Low-hanging fruits, set to become redundant as better agentic capabilities are folded into the LLMs themselves.