Or something that goes against the general opinions of the community? Vibes are the only benchmark that counts after all.
I tend to agree with the flow on most things but my thoughts that I’d consider going against the grain:
- QwQ was think-slop and was never that good
- Qwen3-32B is still SOTA for 32GB and under. I cannot get anything to reliably beat it despite shiny benchmarks
- Deepseek is still open-weight SotA. I’ve really tried Kimi, GLM, and Qwen3’s larger variants but asking Deepseek still feels like asking the adult in the room. Caveat is GLM codes better
- (proprietary bonus): Grok 4 handles news data better than GPT-5 or Gemini 2.5 and will always win if you ask it about something that happened that day.
Sometimes speaking to an older model feels way more human and natural, newer ones seems to be trained too much on “helpful assistant” stuff and especially on the previous AI dialogues, to the point where some of them from time to time claim to be chatgpt because that’s what they have in their training data.
Datasets should be cleared and everything newer than the release of chatgpt should be carefully vetted to make sure the models are not just regurgitating generated output to the point where they all blend into the same style of speech.
Also, it seems like models should be rewarded more for saying “I’m not sure” or “I don’t know” for things that are not in their training data and context, because every one of them still has a huge tendency to be confidently wrong.