This feels way less annoying to use than ChatGPT. But I wonder how much the effect is lost when the tool does many of the things that make models like o3 useful

This feels way less annoying to use than ChatGPT. But I wonder how much the effect is lost when the tool does many of the things that make models like o3 useful (repeated web searches, running code in a sandbox, etc.). For code generation, this does seem pretty useful with something like Qwen3-Coder-480B, if that generates good enough code for your purposes. But for chat, I wonder: does this kind of speed call for models that behave pretty differently to current ones? With virtually instant speed, I find myself wanting much shorter answers sometimes. Maybe a model whose design and training are focused on concision and a context with lots and lots of turns would be a uniquely useful option with this kind of hardware. But I guess the hardware is really for training, right, and the inference-as-a-service stuff is basically a powerful form of marketing?