I tested GPT-5.2 and the AI model's mixed results raise tough questions (www.zdnet.com)

A recent evaluation of OpenAI's GPT-5.2 by ZDNET revealed mixed results, raising important questions about its advancements compared to its predecessor, GPT-5.1. The testing covered various domains, including text comprehension, creative writing, math, and coding, resulting in a total score of 109 out of 120 points. Notably, while GPT-5.2 excelled in tasks like explaining educational concepts to young children and producing a lengthy creative story, it fell short in coding accuracy, losing points on crucial functionality tests. This evaluation is significant for the AI/ML community as it highlights both the strengths and weaknesses of GPT-5.2, particularly in areas like response brevity and potential misunderstandings in coding tasks. The model's tendency to request confirmations for many responses and its inconsistent performance timelines may detract from user experience. Overall, while GPT-5.2 shows promise in literary and analytical capabilities, concerns about its coding functionality and newly introduced response patterns suggest that it may be more of an incremental upgrade than a groundbreaking advancement, warranting further scrutiny from developers and researchers alike.