[yowlingcat]

It definitely does suck. I had the same feelings about a year ago and the unpleasantness has definitely increased. But glass half full, we didn't have Kimi K2.5, GLM5, Qwen3.5, MiniMax 2.5, Step Flash 3.5, etc available and the cambrian explosion is only continuing (DeepSeek V4 should be out pretty soon too).

The real moment of relief for me was the first time I used DeepSeek R1 to do a large task that I would've otherwise needed Claude/OpenAI for about 12 months ago and it just did it -- not just decently, but with less slop than Claude/OpenAI. Ever since that point, I've been continuing to eye local models and parallel testing them for workloads I'd otherwise use commercial frontier models for. It's never a perfect 1:1 replacement, but I've found that I've gotten close enough that I no longer feel that paranoia of my AI workloads not being something I can own and control. True, I do have to sacrifice some capability, but the tradeoff is I get something that lives on my metal, never leaks data or IP, doesn't change behavior or get worse under my feet, doesn't rate limit me, can be fine tuned and customized. It's all lead to a belief for me that the market competition is very much functioning and the cat is out of the bag, for the benefit of all of us as users.