Why are we acting like early adopters anymore? Sitting here eating my chili and this hit me — when did “early adopter” stop meaning someone willing to sit with a rough, unfinished product and start meaning everyone, every single release cycle? Like when did we collectively forget that software design gets applied to models too? Version 1 of anything is going to be rough. That’s not a hot take, that’s just how it works. So when Anthropic or OpenAI drops a new model, why are we all sprinting to it like the gap between this one and the last is fundamental? And yeah — the benchmarks improved. Reasoning got better. Hallucinations went down. Cool. But to your average user? You went from smart chat to slightly smarter chat. That’s not a different product. That’s the same product with fewer errors. The API gains and capability jumps are real, but they live in developer land. Not everyday user land. It’s like when Apple upgrades the silicon in an iPhone. Does the phone run better? Yes. Do you get better battery life? Sure. But does your mom experience a fundamentally different phone? No. It’s still Instagram, still iMessage, still the same thing she’s always known. The improvement happened underneath, where most people never see it. That’s what we keep glossing over. The companies know this and they’re cashing in on our FOMO anyway. Genuinely new functionality — something that makes the average user go “wait, it can do that now?” — that’s rare. Everything else is silicon. Maybe the move is just… wait for 5. Wait for 6. Wait for 7. Crazy thought. submitted by /u/Electronic-Blood-885
Originally posted by u/Electronic-Blood-885 on r/ArtificialInteligence