I think we've reached the point where new AI model releases all kinda blur together. I honestly can't keep the names straight anymore. It's all numbers, decimals, and words like Pro, Ultra, and Max. At this point half of them sound like energy drinks. But I actually think that's a good sign. It means we've moved past the phase where the model itself was the product. I still pay close attention to new models. I've just changed what I'm paying attention to. 2 things I've noticed (maybe you've noticed it too?): 1) I've stopped caring about benchmarks completely. The only question I ask about a new model now is which of my someday ideas just became a today idea. What can I build this week that I couldn't last week? 2) The models are turning into a commodity you'll never think about. In 6-12 months you won't know or care which one you're using, the same way you have no idea which power plant your electricity comes from. Your agent just grabs whichever is best for the task, switches midtask if it needs to, and never tells you. Being an openai person or a claude person is about to sound as silly as being loyal to one electric company. I'll still cover the big releases on @startupideaspod, but only when one actually changes what you can build. Anyway, just kinda venting. Am I the only one feeling this?