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ramstar3000

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Running more scanning agents exponentially is an interesting proposition as we scale to massive, continuously growing tasks. In my initial experimentations with well-defined tasks, the overhead has not been worth diving into yet, since latency has been low enough.

It would turn a slow search into a highly parallelised "MapReduce" problem. You trade a brief, massive burst of machine execution to keep wall-clock latency incredibly low for the human waiting at the top.

A tree structure means these scanning agents don’t just run wild. High-level nodes could aggressively prune entire branches the moment a scanning agent reports a dead end.

"upper limit on how many tasks can be run in parallel" - definitely, however at the moment codinig workflows like Claude Code will spawn around 5 agents in parallel at max, but we can hope that dynamic workflows provides a better solution however the intial reports on the coherency of the their multi-agent system seems to be sub-optimal

Excited to see more about their partnership they with Alexa+. In agentic and tool-calling, Mistral’s model architecture excels at the exact structured JSON output Alexa needs to trigger APIs and smart home routines without breaking.