6. Negative attitudes of Fudan

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It has now surpassed human recognition speed. Managing artificial intelligence will be a great challenge. Large-scale learning algorithms teach models how to effectively use their chains of thought during the training process. The o model can generate a long internal chain of thought before responding to the user. The previous large language model was more like a liberal arts student and was still far from the level of a science student. But the core ability of human intelligence is to think and reason. OpenAI’s new reasoning model o captures the human thinking process.



We found that o outperformed some human experts, becoming belgium email list the first model to do so on this measure. These results do not mean that o is more capable than a PhD in all aspects, but only that the model is more skilled at solving some of the problems that a PhD should solve. Human beings currently lack the basic cognitive framework of artificial intelligence. " failed on the high school math "trap" problem, with an accuracy of only .%. Our latest research results have poured cold water on this "artificial intelligence genius" - when faced with high school math "trap" problems, GPT-o failed miserably: on our latest high school trap task set MathTrap_Public, the accuracy of the answer generated after calling the official GPT-o-preview API is only .



%.We constructed the MathTrap dataset based on the problems of the GSM8K and MATH datasets, adding some "traps". These custom questions often do not have clearly defined answers or solutions. Therefore, it is impossible to achieve good results on MathTrap by simply relying on "ranking deletion" to improve the results on GSM8K and MATH, because these models do not have the ability to examine conditions. Related research: Exploring compositional shortcomings of large language models in mathematical reasoning through trap problems Link to paper:How to use 7. ChatGPT paid users ChatGPT Plus and Team users can access o models in ChatGPT since .