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This paper proposes a Rust-based multi-agent architecture that uses LLM hallucinations as a feature to generate and evaluate scientific hypotheses, comparing its performance against direct prompting and other methods.
Professor Clare Bryant at the University of Cambridge is using DeepMind's Co-Scientist to rapidly identify molecular switches that cause severe diseases like sepsis when pathogens jump between species, cutting research time from years to months.
Calico Life Sciences uses Google DeepMind's Co‑Scientist to connect scattered findings in aging biology and generate testable hypotheses, such as a novel hypothesis about ISR regulation by metabolism.