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.
  • hendrik@palaver.p3x.deEnglish
    1·
    3 days ago

    Thanks.

    FIBO, which looks interesting in many ways.

    Indeed. Seems it has good performance, licensed training material… That’s all looking great. I wonder who has to come up with the JSON but I guess that’d be another AI and not my task. Guess I’ll put it on my list of things to try.

    It’s possible that there’ll be companies at some point who proudly train their models with renewable energy

    I said it in another comment, I think that’s a bit hypothetical. It’s possible. I think we should do it. But in reality we ramp up natural gas and coal. US companies hype small nuclear reactors and some some people voiced concerns China might want to take advantage of Russia’s situation for their insatiable demand for (fossil-fuel) energy. I mean they also invest massively in solar. It just looks to me we’re currently overall headed the other direction and we need substantial change to maybe change that some time in the future. So I categorize it more towards wishful-thinking.

    • Baŝto@discuss.tchncs.deEnglish
      1·
      1 day ago

      I wonder who has to come up with the

      I haven’t tried to run any of that yet, but they have these models on HF:

      that’s a bit hypothetical

      Yes, absolutely. It can happen, but we shouldn’t make decisions based on the assumption that it might happen. In other fields there are companies who try to make their products better recyclable, less energy hungry (production and run time), made from sustainable resources, repairable, more ethically sourced resources etc. So it’s not out of question, but it often starts with people who just wanna see it happen, not with a business case. There are also many black sheep who only do green washing by just letting it sound like they do that without actually doing it.

      Ecosia already tries to sell their chatbot as green, but it only uses OpenAI’s API and they plant trees how they always do. Though I generally don’t like their compensation concept, at least they claim their own servers run 100% renewable energy. I haven’t tried their chatbot(s) yet, but it looks like it’s still only OpenAI. If they do it like duckduckgo at some point in the future, they could run open models on their own servers. Whether they can produce enough energy and get their hands on hardware to get that working etc is a different question though. There isn’t any indication yet that they plan to go that way.

      It’s probably already possible to let an EMS start AI training when there is solar overproduction. That’s only worth it when the pace of new break throughs have slowed down or when they use outdated techniques anyways. I dunno where the current balance currently is between electricity prices, hardware cost, energy efficiency of the hardware and time pressure.

      EDIT: Sounds like Ecosia is on it for runnning AIs at least https://blog.ecosia.org/what-we-are-doing-with-ai/. They probably push that renewable energy into grid somewhere else than where the AI is consuming it.

      concerns China might want to take advantage

      I don’t think they’ll say no to cheap energy, but they definitely don’t wanna be dependent on other countries for their energy. As far as I understand they push solar, electric cars etc for energy dependency reasons.