Shanghai Artificial Intelligence Laboratory has released and open-sourced the trillion-parameter scientific multimodal large model ShuRen Intern-S1-Pro, based on the "Integration of General and Specialized" architecture SAGE. It sets a new record for parameter scale in the open-source community and achieves breakthroughs in multiple scientific capabilities, maintaining a leading position in international academic evaluations in the AI4S field.
Apple's vision reasoning paper submitted to ICLR 2025 claimed to surpass GPT-5, but was exposed by researchers who replicated the study, revealing serious issues: the official code lacked an image input module, and after fixing it, the accuracy dropped sharply;抽查 found that 30% of the annotated data had errors. The author team hastily closed issue reports on GitHub before finally admitting flaws in the data generation process. This incident exposed flaws in the paper review mechanism and raised concerns in the academic community about the reproducibility of AI research. (140 characters)
OpenAI's GPT-5Pro identified a proof paper for Erdos Problem #339 as early as 2003 through screenshot recognition, a discovery that shocked the mathematics community. This number theory problem was proposed by Paul Erdos, focusing on whether it is possible to cover specific mathematical properties using r elements from a set A of natural numbers when A is an r-th order basis. The resolution of this 22-year-old mystery highlights the breakthrough potential of AI in academic research.
Recently, the latest issue of the journal Nature featured a cover paper that has attracted widespread attention. The research focuses on DeepSeek-R1. This study was led by Professor Liang Wenfeng's team and centers on how to enhance the reasoning capabilities of large language models (LLMs) through reinforcement learning. As early as January this year, the research was published on arXiv and received high praise from the academic community. In the cover introduction, Nature pointed out that if large models can plan the steps to solve problems, they often achieve better solutions. This
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