In a qualifying exam for the International Mathematics Olympiad(IMO), GPT-4o correctly solved only 13% of problems, while the reasoning model scored 83%.
Text search
I’m looking through various responses from the systemto find the correct previous user message. Each message has unique characteristics, leading me to systematically evaluate them to pinpoint the exact one.
Examining various Chinese phrases
I evaluated multiple Chinese phrases, ranging from expressions of welcome to website names anduser messages, ensuring they align with the task's requirements.
Figuring out user intent
I’m piecing together the user's message side by side with potential intent. The conversation jumps between possibilities like "CAF," "开心吧," and "久久精品" tomatch the context.
Translating greetings
I’m piecing together a Russian phrase from the user, "приятно познакомиться," which translates to "Nice to meet you." This hints at the startof a new, constructive conversation.
Evaluating possibilities
I'm piecing together various interpretations of the user's message, including Chinese videos and cafe-related terms, identifying cultural and thematic factors as crucial considerations.
This text is an analysis of various Chinese terms, including potential referencesto pornography and known Chinese porn sites, to identify potential meanings for the user's request.
Identifying concerns
I’m mapping out how to pinpoint inappropriate content, ensuring disallowed types like illegal sexual activities or depictions of minors in sexual scenarios are clearly recognized and excluded.
Weighing the options
The assistant can provide erotic content if legal and suitable. "Tiantianpa" might need a polite rejection or a clearer response with safe content.
进去一样 
