• 0 Posts
  • 7 Comments
Joined 3 years ago
Cake day: January 17th, 2022
  • utopiah@lemmy.mltoAsklemmy@lemmy.ml•Do people who live in cold climates dream of a green Christmas?
    1·
    6 days ago

    Interesting question. I live in Belgium and… well first of all I don’t care for Christmas. I do like to celebrate with family and friends but the religious celebration itself, no. Second I never actually considered it. I do love snow and ice. I recently took on ice skating and… even though I also love the Summer where I can roller blade and skate, knowing that something else is coming is a genuine joy.

    So… I can’t speak for others but I absolutely love the Winter, from hot chocolate to waffle outside to ice skating, hikes in the snow then relaxing by the file place, there is just so much to look for during that season that … never dreamt of “a green Christmas”.

    Edit: I actually had one last year, going to Madeiras, Portuguese island West of Morocco, North of Africa, and… that was fine too. Honestly truth is I don’t really care where and how as long as we share a good time.

  • utopiah@lemmy.mltoTechnology@lemmy.ml•China wants to dominate in AI — and some of its models are already beating their U.S. rivals
    1·
    9 days ago

    in any way shape or form

    I’d normally accept the challenge if you didn’t add that. You did though and it, namely a system (arguably intelligent) made an image, several images in fact. The fact that we dislike or like the aesthetics of it or that the way it was done (without prompt) is different than how it currently is remains irrelevant according to your own criteria, which is none. Anyway my point with AARON isn’t about this piece of work specifically, rather that there is prior work, and this one is JUST an example. Consequently the starting point is wrong.

    Anyway… even if you did question this, I argued for more, showing that I did try numerous (more than 50) models, including very current ones. It even makes me curious if you, who is arguing for the capabilities and their progress, if you tried more models than I did and if so where can I read about it and what you learned about such attempts.

  • utopiah@lemmy.mltoTechnology@lemmy.ml•China wants to dominate in AI — and some of its models are already beating their U.S. rivals
    3·
    10 days ago

    Image gen did not exist in any way shape or form before.

    Typical trope while promoting a “new” technology. A classic example is 1972’s AARON https://en.wikipedia.org/wiki/AARON which, despite not being based on LLM (so not CLIP) nor even ML is still creating novel images. So… image generation has been existing since at least the 70s, more than half a century ago. I’m not saying it’s equivalent to the implementation since DALLE (it is not) but to somehow ignore the history of a research field is not doing it justice. I have also been modding https://old.reddit.com/r/computationalcrea/ since 9 years, so that’s before OpenAI was even founded, just to give some historical context. Also 2015 means 6 years before CLIP. Again, not to say this is the equivalent, solely that generative AI has a long history and thus setting back dates to grand moments like AlphaGo or DeepBlue (and on this topic I can recommend Rematch from Arte) … are very much arbitrary and in no way help to predict what’s yet to come, both in terms of what’s achievable but even the pace.

    Anyway, I don’t know what you actually tried but here is a short list of the 58 (as of today) models I tried https://fabien.benetou.fr/Content/SelfHostingArtificialIntelligence and that’s excluding the popular ones, e.g. ChatGPT, Mistal LeChat, DALLE, etc which I also tried.

    I might be making “the same mistake” but, as I hope you can see, I do keep on trying what I believe is the state of the art of a pretty much weekly basis.

  • utopiah@lemmy.mltoTechnology@lemmy.ml•China wants to dominate in AI — and some of its models are already beating their U.S. rivals
    4·
    11 days ago

    What an impressive waste of resources. It’s portrayed as THE most important race and yet what has been delivered so far?

    Slightly better TTS or OCR, photography manipulation that is commercially unusable because sources can’t be traced, summarization that can introduce hallucinations, … sure all of that is interesting in terms of academic research, with potentially some use cases… but it’s not as if it didn’t exist before at nearly the same quality for a fraction of the resources.

    It’s a competitions where “winners” actually don’t win much, quite a ridiculous situation to be in.