this post was submitted on 29 Oct 2023
0 points (NaN% liked)

Europe

8488 readers
1 users here now

News/Interesting Stories/Beautiful Pictures from Europe 🇪🇺

(Current banner: Thunder mountain, Germany, 🇩🇪 ) Feel free to post submissions for banner pictures

Rules

(This list is obviously incomplete, but it will get expanded when necessary)

  1. Be nice to each other (e.g. No direct insults against each other);
  2. No racism, antisemitism, dehumanisation of minorities or glorification of National Socialism allowed;
  3. No posts linking to mis-information funded by foreign states or billionaires.

Also check out !yurop@lemm.ee

founded 1 year ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
[–] Turun@feddit.de 0 points 1 year ago* (last edited 1 year ago)

Europe arguably already has created very successful AI powered products. It's not Apple level yet, but there is no denying the success.

  • Already quite old, but still better than most, if not all, alternatives is deepl.com to translate text. I very much prefer them over google translate, their results are just plain better.

  • LAION, which you may have heard of already due to their LAION-5B dataset is an organization that provides a set of images together with their captions to be used as training data. Googles imagen was trained on that for example.
    It's a German non profit organization, the product is freely available for everyone.

  • Also in the realm of text to image AI is stable diffusion. Arguably the best text to image model for actual art, due to the widely available additions that allow fine-tuning of the results. Midjourney makes esthetically pleasing images and DALL-E can do text now. But there is simply no other text to image model that can produce a landscape view with exactly this or that shape. Or a portrait of exactly this person.
    Stable diffusion is free and open source and provided for everyone free of charge. It was developed in Germany.

A lack of hyper capitalism makes these companies fail in the metrics usually used to determine success, but that doesn't mean they are unsuccessful or unimportant.