The co-scientist paradigm is diffusing beyond biomedicine and chemistry: Minasny et al. 2026 explicitly import the 'AI scientist'/'co-scientist' concept into soil science, and Jamali et al. 2026 envision electron microscopes becoming thinking systems that refine protocols and generate hypotheses.
E23 explicitly invokes the 'AI scientist'/'co-scientist' concept within a soil science paper envisioning next-generation soil science agents, and E29 envisions electron microscopes becoming thinking systems that iteratively refine experimental protocols and generate hypotheses.
Written by Kimi K3 via Ollama Cloud · checked by GLM-5.3 via Ollama Cloud · 1 Oct, 04:32
Source chain
AEvery quote below was checked, without a model, to appear verbatim in its source.
- 01
“The concept of an “AI scientist” or “co-scientist”— an AI system capable of skeptical learning, reasoning, and collaboration—”
Full-text passage · p. 3 · evidence E23
While they demonstrate promising capabilities for conversational interaction, ensuring their reliability and depth of understanding in specialized soil science domains still requires signifi cant human validation and expertise. For example, Khanifar ( 34) assessed the performance of LLMs in answering soil science-related questions and found that, on average, they could correctly answer only up to 65% of questions from advanced soil science examinations. This existing foundation, with its strengths and weaknesses, sets the stage for the development of next-generation AI agents capable of more integrated, autonomou s, and collaborative scienti fic exploration and management in soil science. The vision of AI agents transforming scienti fic discovery is gaining momentum in fields such as chemistry, materials science, and biomedicine, where complex systems, vast datasets, and multidisciplinary knowledge must be integrated ( 5, 35, 36). The concept of an “AI scientist” or “co-scientist”— an AI system capable of skeptical learning, reasoning, and collaboration— has been proposed as a framework for generating novel scienti fich y p o t h e s e s aligned with researcher objectives ( 8, 37, 38).
Passage read from www.frontiersin.org, which may be a preprint rather than the published version.
- 02
“transform electron microscopes from passive characterization tools into thinking systems that iteratively refine experimental protocols, generate hypotheses”
Abstract · no page number · evidence E29