this post was submitted on 01 May 2026
196 points (90.5% liked)

PC Gaming

14586 readers
852 users here now

For PC gaming news and discussion. PCGamingWiki

Rules:

  1. Be Respectful.
  2. No Spam or Porn.
  3. No Advertising.
  4. No Memes.
  5. No Tech Support.
  6. No questions about buying/building computers.
  7. No game suggestions, friend requests, surveys, or begging.
  8. No Let's Plays, streams, highlight reels/montages, random videos or shorts.
  9. No off-topic posts/comments, within reason.
  10. Use the original source, no clickbait titles, no duplicates. (Submissions should be from the original source if possible, unless from paywalled or non-english sources. If the title is clickbait or lacks context you may lightly edit the title.)

founded 2 years ago
MODERATORS
EXiLExJD@lemmy.ca
UncleBadTouch@lemmy.ca
KairuByte@lemmy.dbzer0.com
196
Gabe Newell was an enthusiastic supporter of OpenAI in 2018, donating $20 million and even acting as the sole member of an 'informal advisory board' (www.pcgamer.com)
submitted 1 day ago by alessandro@lemmy.ca to c/pcgaming@lemmy.ca
78 comments fedilink hide all child comments
you are viewing a single comment's thread
view the rest of the comments
[–] SaveTheTuaHawk@lemmy.ca -5 points 23 hours ago (2 children)

But neural networks (“AI”) can do pretty incredible things

Name one.

[–] Bo7a@piefed.ca 3 points 7 hours ago* (last edited 7 hours ago)

They are very good pattern matching machines. Most of our life science scientists are out there finding patterns. Like which antibodies pair with which cellular components to do things like predict cancer before it is a problem.

They are also very good at determining locations for clinical trials based on criteria found in previous trials that would be near impossible to do for a human.

[–] FauxLiving@lemmy.world 9 points 22 hours ago* (last edited 22 hours ago) (1 children)

Predict protein structures better than any other methods.

Here we provide the first computational method that can regularly predict protein structures with atomic accuracy even in cases in which no similar structure is known. We validated an entirely redesigned version of our neural network-based model, AlphaFold, in the challenging 14th Critical Assessment of protein Structure Prediction (CASP14)15, demonstrating accuracy competitive with experimental structures in a majority of cases and greatly outperforming other methods.

[–] BCsven@lemmy.ca 5 points 14 hours ago

I love it when this happens in posts 😁