It feels like we just hit a point where ‘bigger number = better’ isn’t the whole story anymore. With the latest wave of releases from Anthropic, Google, and others, the lines are getting blurry between general purpose models and specialized agents. I’ve been testing the new Opus against the reasoning updates in Gemini, and honestly, the use cases are diverging fast. One is becoming my go-to for deep research and synthesis, while the other is strictly for coding and quick execution. It used to be that I’d just camp out in one interface for everything. Now I find myself context switching constantly because the ‘best’ model is completely dependent on whether I need deep reasoning or agentic action. How are you all managing your workflows with these new specialized capabilities? Are you building intricate routing systems, or just manually hopping between tabs like I am? submitted by /u/HarrisonAIx
Originally posted by u/HarrisonAIx on r/ArtificialInteligence