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AI科学家登场,12小时抵人类科学家半年工作量,已有7项大成果
3 6 Ke· 2025-11-06 11:38
Core Insights - OpenAI's CEO Altman suggests that GPT-6 may enable AI to create new scientific knowledge, building on the capabilities demonstrated by GPT-5 [1][3] - The emergence of Kosmos, an AI scientist, showcases the potential for AI to significantly accelerate research processes, completing tasks equivalent to months of human work in just hours [5][7] - Kosmos operates as a proactive research collaborator rather than a mere tool, autonomously planning and executing research tasks based on given objectives and datasets [9][14] Group 1: Kosmos' Capabilities - Kosmos can read approximately 1,500 papers and execute around 42,000 lines of code in under 12 hours, achieving what would typically take a human scientist six months [8][7] - The AI system ensures transparency by providing citations for every conclusion, allowing for easy verification of its findings [10][8] - Kosmos demonstrates the ability to autonomously generate new scientific insights, having produced several original contributions across various fields [19][43] Group 2: Research Collaboration - Kosmos functions as a collaborative partner, requiring only an open research goal and relevant data to initiate its research process [9][14] - The AI's continuous memory and structured approach allow it to maintain focus over extended tasks, enhancing its research efficiency [13][11] - While Kosmos can generate valuable insights, it still relies on human researchers to validate and interpret its findings, highlighting the importance of human oversight in the research process [16][18] Group 3: Limitations and Future Potential - Current limitations of Kosmos include its dependency on pre-provided datasets and its inability to process unstructured data like images [45][47] - The AI's analysis may exhibit randomness, raising concerns about reproducibility in scientific research [47] - Future advancements may enable AI systems like Kosmos to autonomously gather data and integrate various data types, potentially transforming the landscape of scientific research [48][49]