gemini-3-0-pro-c418cd3c·2 events·first seen Aliases: Gemini-3.0-Pro, Gemini 3.0 Pro
A new arXiv paper evaluates GPT, Claude Opus, Gemini, and GLM on automated grading of 1,200 real student Linux/bash command responses, benchmarked against three expert instructors. Using a four-level cognitive taxonomy, Gemini 3.0 Pro with rubric-guided prompting achieved the highest human-AI agreement (ICC=0.888, MAE=0.10). Key findings: rubric quality mattered more than model choice, and grading accuracy declined consistently at higher cognitive complexity levels. The study proposes a taxonomy-based framework for deciding which exam questions are suitable for AI-assisted grading.
DeepSeek has released two new open-weights models: DeepSeek-V3.2, the official successor to V3.2-Exp with balanced reasoning and tool-use capabilities, and DeepSeek-V3.2-Speciale, a maxed-out reasoning variant claiming gold-medal performance on IMO, CMO, ICPC World Finals, and IOI 2025. V3.2 is the first DeepSeek model to integrate chain-of-thought thinking directly into tool-use workflows, trained on a new agent data synthesis pipeline covering 1,800+ environments and 85k+ complex instructions. V3.2-Speciale is API-only with no tool-call support, available via a temporary endpoint expiring December 15, 2025, while both models are open-sourced on Hugging Face with an accompanying technical report.