Stop using ChatGPT for everything: I use these AI models for research, coding, and more (and which I avoid) (www.zdnet.com)

A recent article explores the diversity of AI models and their optimal use for various tasks, emphasizing that choosing the right tool is more crucial than fixating on specific model versions. The author reveals their personal toolkit, utilizing models like Google's Gemini for creating audio explainers and OpenAI’s GPT-5.1 for coding support. They also highlight the importance of app integrations, noting that many software vendors charge additional fees for AI features, which can lead to increased costs for users who are already subscribed to certain models. This discussion is particularly significant for the AI/ML community, as it underscores the rapid evolution of generative AI, making it necessary for users to adapt without being overwhelmed by the myriad of model names and versions. Key takeaways include the varying performance of models such as ChatGPT and Claude for different tasks, showcasing that context and application matter greatly in AI deployment. The article ultimately suggests a pragmatic approach: users should prioritize the task over the model, maximizing efficiency and minimizing unnecessary subscription costs in their AI workflows.