Google has officially released its next-generation video generation model Veo2, aiming to compete with OpenAI's Sora. Google claims that Veo2 demonstrates higher realism and intricacy in video generation. This update not only enhances video quality but also improves understanding of real-world physics and the subtle nuances of human movement and expression. Google states that Veo2 has a better understanding of the physics of the real world as well as the nuances of human movement and expression.

OpenAI's new systems have achieved outstanding results in a recent evaluation, securing the top position in chatbot rankings. However, the low number of ratings may distort the evaluation results. According to the published overview, these new systems excelled in all evaluation categories, including overall performance, safety, and technical capability. One system specifically designed for STEM tasks briefly ranked second alongside the GPT-4o version released in early September, leading in the technical field. Chatbot Arena is a platform for

The 'invasion' of AI into university exam halls has quietly occurred. Research from the University of Reading in the UK has revealed a staggering phenomenon: in actual university exams, 94% of AI-generated answers went unnoticed by teachers and were not detected. Even more shocking is that these AI 'students' achieved scores that were significantly higher than human students 83.4% of the time. This seems to signal that AI not only shows potential in replacing human jobs but is also beginning to surpass university students in cognitive tasks.

The 15-inch M3 MacBook Air has appeared on the Geekbench 6 benchmarking site with a single-core score of 3157 and a multi-core score of 12020, showing a significant improvement over the M2. The M3 features an 8-core CPU and a 10-core GPU, with a CPU clock speed of 4.05GHz, and offers memory options of 8GB, 16GB, and 24GB, along with a maximum storage capacity of 2TB. It comes pre-installed with macOS Sonoma and is available in multiple color options.

ZhiYuan Research Institute has open-sourced the JudgeLM evaluation model, which can efficiently assess various large models and provide scores. Compared to GPT-4, JudgeLM's cost is only 1/120, with a consistency rate of over 90% for evaluation results. JudgeLM can be applied in various assessment scenarios including pure text and multimodal contexts, generating scores and justifying reasons. The consistency of JudgeLM with reference answers exceeds 90%, approaching human performance. ZhiYuan Research Institute has also released datasets for training and validation samples for in-depth research on large models.