Core Insights - The article highlights the significant advancements made by the AI scientist Kosmos, which has independently replicated three major discoveries in neuroscience, materials science, and biology, and made four original contributions in genetic epidemiology, multi-omics integration, Alzheimer's disease, and transcriptomics [1][6][24]. Group 1: AI Scientist Kosmos - Kosmos is described as a next-generation AI scientist that can read 1,500 papers and execute 42,000 lines of analysis code in a single run, significantly outperforming previous AI models [11][14]. - The AI's ability to complete research tasks equivalent to six months of human work in just one day, with an accuracy rate of 79.4%, showcases its potential to accelerate scientific discovery [13][24]. Group 2: Future House and Its Mission - Future House, a non-profit organization established in 2023, aims to equip every researcher with an AI scientist to facilitate cross-disciplinary discoveries [8][9]. - The commercial branch, Edison, is expanding the AI scientist technology to researchers globally, providing free services while offering paid options for advanced users [9][8]. Group 3: Key Discoveries by Kosmos - Kosmos has made seven significant scientific discoveries, including the independent replication of findings related to nucleotide metabolism in mice and the efficiency of perovskite solar cells under specific humidity conditions [25][30]. - Original contributions include evidence linking increased SOD2 levels to reduced myocardial fibrosis risk and a novel analysis method for understanding Tau protein accumulation in Alzheimer's disease [42][48][54].

Core Viewpoint - The article discusses Kosmos, an AI scientist capable of conducting extensive research autonomously, achieving results equivalent to six months of human work in just one day, and demonstrating high reproducibility in scientific findings [2][24]. Group 1: Kosmos Capabilities - Kosmos can work continuously for up to 12 hours, reading 1,500 papers and writing 42,000 lines of code in a single research session [2][6]. - It has successfully made seven genuine discoveries across various fields, including metabolomics and neuroscience, some of which were previously unpublished by humans [4][6]. - The AI has a reproducibility rate of 79% for its research results, indicating a high level of reliability [2]. Group 2: Research Process - Kosmos operates through a structured world model that allows for real-time information sharing between data analysis and literature search modules [20]. - The research process involves a "cyclic iteration + information sharing" model, where Kosmos can run up to 200 iterations to refine its findings [21]. - Each research cycle produces results that are automatically compiled into a report, with all data and sources clearly cited [21]. Group 3: Research Findings - Kosmos has replicated an unpublished finding regarding the metabolic mechanisms of brain protection at low temperatures, achieving a correlation of R²=0.998 with human research [13][15]. - It has also discovered new patterns, such as the environmental factors affecting perovskite solar cell efficiency and protective proteins in myocardial fibrosis [26]. Group 4: Team Background - The Kosmos project is led by Ludovico Mitchener and Michaela Hinks from Edison Scientific, both of whom have strong academic backgrounds in AI and biological engineering [27][29]. - Edison Scientific is a non-profit organization focused on automating research in biology and other complex scientific fields [30].