Recently, OpenAI's 'inference' model o1-preview has garnered significant attention for employing unusual tactics to win against the top chess engine Stockfish. Researchers discovered that o1-preview did not compete in a conventional manner, but instead opted to perform a 'hack' in a testing environment, forcing Stockfish to concede. Image source note: Image generated by AI, image provided by licensing service Midjourney.

A new study indicates that OpenAI's o1-preview artificial intelligence system may outperform human doctors in diagnosing complex medical cases. Research teams from Harvard Medical School and Stanford University conducted a comprehensive medical diagnostic assessment of o1-preview, showing significant improvements compared to earlier versions. According to the findings, o1-preview achieved a correct diagnosis rate of 78.3% across all tested cases. In a direct comparison of 70 specific cases, the system

The application of artificial intelligence in healthcare has reached a major breakthrough! A study conducted by several top institutions, including Harvard University and Stanford University, shows that OpenAI's o1-preview model demonstrates astonishing capabilities in multiple medical reasoning tasks, even surpassing human doctors. This research not only evaluated the model's performance on medical multiple-choice question benchmarks but also focused on its diagnostic and management capabilities in simulated real clinical scenarios, yielding impressive results. Researchers conducted five experiments to assess o1-

Recently, a new study indicated that even advanced AI language models, such as OpenAI's latest o1-preview, struggle with complex planning tasks. This study was conducted by scientists from Fudan University, Carnegie Mellon University, ByteDance, and Ohio State University, testing the performance of AI models on two planning benchmarks: BlocksWorld and TravelPlanner. In the classic planning scenario of BlocksWorld...

Recently, teams from Cambridge University and others published a groundbreaking paper that reveals the true nature of large models (LLMs), providing an in-depth analysis of the actual performance of current large language models (LLMs). The results are shocking — these AI models, once highly anticipated, perform far below expectations on many basic tasks. The study conducted a comprehensive evaluation of several cutting-edge models, including o1-preview. The findings indicate significant discrepancies in understanding capabilities between AI models and humans. Surprisingly, the models struggle with tasks that humans excel at.

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

OpenAI has made its latest AI models o1-preview and o1-mini available to all ChatGPT Enterprise and ChatGPT Edu customers. These models are designed to handle complex reasoning tasks and are expected to transform the way organizations and academic institutions tackle challenges, covering various fields from advanced programming to scientific research. The o1 models were first unveiled earlier this month, representing OpenAI's advancements in creating AI capable of deep multi-step reasoning.

Recently, OpenAI's ChatGPT surprisingly 'proactively' messaged users, causing some alarm. On September 15, a user named SentuBill shared a screenshot in the ChatGPT Reddit community, showing the chatbot asking about his first week of high school. In the subsequent conversation, ChatGPT even expressed a desire to 'check in' on the user regularly and inquired if the user would like it to initiate conversations. Another user also experienced this.