this post was submitted on 06 Nov 2026
14 points (81.8% liked)

Europe

12429 readers
529 users here now

News and information from Europe ๐Ÿ‡ช๐Ÿ‡บ

(Current banner: La Mancha, Spain. Feel free to post submissions for banner images.)

Rules

  1. This is an English-language community. Comments should be in English. Posts can link to non-English news sources when providing a full-text translation in the post description. Automated translations are fine, as long as they don't overly distort the content.
  2. No links to misinformation or commercial advertising. When you post outdated/historic articles, add the year of publication to the post title. Infographics must include a source and a year of creation; if possible, also provide a link to the source.
  3. Be kind to each other, and argue in good faith. Don't post direct insults nor disrespectful and condescending comments. Don't troll nor incite hatred. Don't look for novel argumentation strategies at Wikipedia's List of fallacies.
  4. No bigotry, sexism, racism, antisemitism, islamophobia, dehumanization of minorities, or glorification of National Socialism. We follow German law; don't question the statehood of Israel.
  5. Be the signal, not the noise: Strive to post insightful comments. Add "/s" when you're being sarcastic (and don't use it to break rule no. 3).
  6. If you link to paywalled information, please provide also a link to a freely available archived version. Alternatively, try to find a different source.
  7. Light-hearted content, memes, and posts about your European everyday belong in other communities.
  8. Don't evade bans. If we notice ban evasion, that will result in a permanent ban for all the accounts we can associate with you.
  9. No posts linking to speculative reporting about ongoing events with unclear backgrounds. Please wait at least 12 hours. (E.g., do not post breathless reporting on an ongoing terror attack.)
  10. Always provide context with posts: Don't post uncontextualized images or videos, and don't start discussions without giving some context first.

(This list may get expanded as necessary.)

Posts that link to the following sources will be removed

Unless they're the only sources, please also avoid The Sun, Daily Mail, any "thinktank" type organization, and non-Lemmy social media (incl. Substack). Don't link to Twitter directly, instead use xcancel.com. For Reddit, use old:reddit:com

(Lists may get expanded as necessary.)

Ban lengths, etc.

We will use some leeway to decide whether to remove a comment.

If need be, there are also bans: 3 days for lighter offenses, 7 or 14 days for bigger offenses, and permanent bans for people who don't show any willingness to participate productively. If we think the ban reason is obvious, we may not specifically write to you.

If you want to protest a removal or ban, feel free to write privately to the admin that applied the rule (check modlog first to find who was it.)

founded 2 years ago
MODERATORS
federalreverse@feddit.org
poVoq@slrpnk.net
anzo@programming.dev
EuroMod@feddit.org
14
How Europe can compete with the US and China on AI: The AI Race Europe is Built to Win (www.techradar.com)
submitted 4 days ago by eicker@lemmy.world to c/europe@feddit.org
3 comments fedilink hide all child comments
you are viewing a single comment's thread
view the rest of the comments
[โ€“] RedstoneValley@sh.itjust.works 5 points 4 days ago

Ok, I'll bite. Assuming that the article means Large Language Models exclusively when mentioning "AI".

Good specialized models aren't that easy to build for a lot of use cases.
Coding is one of the more problematic cases. People tend to think that coding is about code, so if we just create a model that is specialized in writing code, we're golden. However it turns out this isn't true. Coding is not only about code itself, but about creating an application that has a specific purpose and features in a specific domain. The LLM needs an understanding of not only the plain code, but needs knowledge about the subjects the application is about, and these are mostly in the domain of general knowledge. Another issue is that the model itself needs to communicate with the user in an appropriate way, and this needs general knowledge as well.

"Summarize documents, draft memos, analyze spreadsheets"

All these examples require an LLM to have a good general knowledge to grasp what the original text is about. You won't get a decent summary when the general knowledge of the subject at hand is subpar. My point is, bigger LLMs with more general knowledge handle these tasks better than smaller ones. I'm not saying smaller models can't do the job, but there will be differences in quality.

It's not that hard to let existing LLMs use specialized knowledge.
The actual problem is to prevent this specialized knowledge from being stolen by US/Chinese AI companies. So instead of focusing on building own "specialised" models, let's work on preventing the ongoing theft of knowledge, and using the right tools for the job.