this post was submitted on 01 Jan 2024
241 points (94.8% liked)
Technology
59308 readers
5174 users here now
This is a most excellent place for technology news and articles.
Our Rules
- Follow the lemmy.world rules.
- Only tech related content.
- Be excellent to each another!
- Mod approved content bots can post up to 10 articles per day.
- Threads asking for personal tech support may be deleted.
- Politics threads may be removed.
- No memes allowed as posts, OK to post as comments.
- Only approved bots from the list below, to ask if your bot can be added please contact us.
- Check for duplicates before posting, duplicates may be removed
Approved Bots
founded 1 year ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
Sounds like they built a neural network model and used deep learning to predict what molecules would be effective against drug-resistant bacteria. "AI" as a headline needs to be thrown out the window. We really need to start calling this technology what it is, lest people continue to think this was done by a large language model or a gpt.
Isn't "AI" being applied to deep learning more accurate than calling LLMs "AI"?
Maybe, but it's a silly battle to pick regardless. Decades ago, tons of things that are now everyday commonplace computing were widely considered the realm of AI and pursued by AI researchers. Playing chess well was true AI until we did it, and now it's nothing special. In reality, all "AI" has ever meant is doing something humanlike in a way that's still novel at the time you use the term, and that's fine. More precise terms still exist and can be employed when the distinction matters.
See the AI effect.