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.
Your experience with AI coding seems to align with mine. I think it’s awesome for generating boilerplate code, placeholders including images, and for quick mockups. Or asking questions about some documentation. The more complicated it gets, the more it fails me. I’ve measured the time once or twice and I’m fairly sure it’s more than usual, though I didn’t do any proper scientific study. It was just similar tasks and me running a timer. I believe the more complicated maths and trigonometry I mentioned was me yelling at AI for 90min or 120minutes or so until it was close and then I took the stuff around, deleted the maths part and wrote that myself. Maybe AI is going to become more “intelligent” in the future. I think a lot of people hope that’s going to happen. I think as of today we’re need to pay close attention if it fools us but is a big time and energy waster, or if it’s actually a good fit for a given task.
I like to believe that as well, but I don’t think there’s any guarantee they’ll continue to release new models. Sure, they can’t ever take Mistral-Nemo from us. But that’s going to be old and obsolete tech in the world of 2030 and dwarfed by any new tech then. So I think the question is more, are they going to continue? And I think we’re kind of picking up what the big companies dumped when battling and outcompeting each other. I’d imagine this could change once China and the USA settle their battle. Or multiple competitors can’t afford it any more. And they’d all like to become profitable one day. Their motivation is going to change with that as well. Or the AI bubble pops and that’s also going to have a dramatic effect. So I’m really not sure if this is going to continue indefinitely. Ultimately, it’s all speculation. A lot of things could possibly happen in the future.
If that’s a question about development of AI in general, it’s an entire can of worms. And I suppose also difficult to answer for your or my individual use. What part of the overall environment footprint gets attributed to a single user? Even more difficult to answer with local models. Do the copyright violations the companies did translate to the product and then to the user? Then what impact do you have on society as a single person using AI for something? Does what you achieve with it outweigh all the cost?
Yes, I think that and text to speech and speech to text are massively underrated. Firefox Translate is something I use quite often and I can do crazy stuff with it like casually browse Japanese websites.