Recent AI model progress feels mostly like bullshit

As someone who was wildly disappointed with the hype around Claude 3.7, Gemini 2.5 is easily the best programmer-assistant LLM available, IMO.

But it still feels more like a small incremental improvement rather than a radical change, and I still feel its limitations constantly.

Like... it gives me the sort of decent but uninspired solution I would expect it to generate without predictably walking me through a bunch of obvious wrong turns as I repeatedly correct it as I would have to have done with earlier models.

And that's certainly not nothing and makes the experience of using it much nicer, but I'm still going to roll my eyes anytime someone suggests that LLMs are the clear path to imminently available AGI.

This is exactly my sentiment. Sonnet-3.5-latest was the perfect code companion: wrote just the right amount of okay quality code but its strength was it really tried to adhere to your instructions. sonnet-3.7 was the exact opposite, wrote waaay too much code and overengineered things like crazy while having very poor instruction adherence. Gemini 2.5 Pro is basically what I hoped sonnet-3.7 would be: follows instructions well but still softly opinionated, massive (usable) context window, fast response, more biased towards latest best practices and a up to date knowledge cutoff.

I'm wondering how much gemini 2.5 being "amazing" comes from sonnet-3.7 being such a disappointment.