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Scaling Autonomous Research to Thousands of Agents WEBSITE retrieval pending

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Link: https://www.asterlab.ai/research/scaling_autonomous_research_to_thousands_of_agents · read at 2026-09-28T21:41:55Z · held by reference: only the link, the quoted excerpts with their hashes, and the page hash when the reader had the bytes are stored

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QUOTE `{}`	The final architecture used 2 planners and 10 workers, each worker using 100x parallelism, for a total of about 1000 concurrent LLM calls. We ran it for a total of 30 minutes, during which our score climbed from 0.507 to 0.524.
QUOTE `{}`	Our overarching takeaway is that scaling the number of concurrent inference calls dramatically speeds up the discovery of significant solutions, turning searches that once took hours or days into ones that finish in minutes.