After 12 days of technical sharing livestream events, OpenAI released its next-generation inference model o3 on the final day. This is an upgrade following the earlier release of the o1 inference model. The o3 model series includes o3 and o3-mini, with o3-mini being a smaller, streamlined version fine-tuned for specific tasks. OpenAI stated that the o3 model could approach the realization of artificial general intelligence (AGI) under certain conditions, meaning artificial intelligence capable of performing any task that a human can accomplish.

The Alibaba Cloud Bairen Model Service Platform recently launched the 'Real-Time Audio and Video Interaction' feature, enabling users to easily build multi-modal AI applications without the need for programming knowledge. This new feature allows users to quickly integrate AI models into Web, iOS, and Android applications and share them with others. Users can create intelligent agent applications through simple steps: first, create a new intelligent agent application, then select and configure the required text, speech, or visual understanding models on the Alibaba Cloud Bairen platform. The platform offers over 200 large models, including

OpenAI announced its next-generation inference series models - o3 and its lite version o3-mini during a 12-day launch event. These models are viewed as successors to the o1 series, specifically designed to conduct deeper thinking before answering questions to improve accuracy. The o3 model achieved outstanding performance on the ARC-AGI benchmark test, becoming the first AI model to surpass this benchmark, demonstrating question-solving capabilities close to human levels. The o3 series models have a minimum performance of 75.7% on the ARC-AGI benchmark.

On December 19, 2024, at a press conference, ZhiYuan Research Institute and Tencent announced the launch of LongBench v2, a benchmark designed to evaluate the deep understanding and reasoning capabilities of large language models (LLMs) in real-world long text multi-task scenarios. The platform aims to advance long text models in understanding and reasoning, addressing the current challenges faced by large language models in practical applications.