We're excited to share Carl's first full-length paper generated end-to-end to pass peer review. This builds on our work from last week where we announced the first AI-generated paper to pass peer review.
Carl, our new AI system, successfully ideated novel scientific hypotheses, designed and performed experiments, and wrote multiple academic papers that passed peer review at workshops in the International Conference on Learning Representations (ICLR). This milestone marked Carl as the first AI system to produce academically peer-reviewed research. Carl now also has passed a full-length research paper through peer review, further demonstrating the potential of AI in advancing scientific knowledge.
The concept for this paper originated with Carl and was initially introduced in the "first paper," referenced in our Carl Technical Report. This new paper is built on the same idea, but the code was developed and executed by a more advanced version of Carl. In the original version of the first paper, some text was human-written, with one specific section authored by AI. In this newly accepted paper, the only human edits were limited to citations and formatting. Leveraging Carl's enhanced capabilities, the paper was submitted to a full-length track at an ICLR workshop—which has far more stringent acceptance standards—rather than a Tiny Paper track. Every review for the paper exceeded the acceptance threshold, marking a significant milestone in automated AI research.
Please take a look at our Technical Report for a description of the limitations and ethical considerations for the Carl system.
Looking Forward
As we continue to develop more sophisticated AI systems, the possibilities for research automation become increasingly exciting. The future holds promise for even more efficient and effective scientific discovery processes.
Stay tuned for more updates on the latest developments in AI research automation.