this post was submitted on 25 Mar 2024
346 points (98.3% liked)

Technology

59594 readers
3131 users here now

This is a most excellent place for technology news and articles.


Our Rules


  1. Follow the lemmy.world rules.
  2. Only tech related content.
  3. Be excellent to each another!
  4. Mod approved content bots can post up to 10 articles per day.
  5. Threads asking for personal tech support may be deleted.
  6. Politics threads may be removed.
  7. No memes allowed as posts, OK to post as comments.
  8. Only approved bots from the list below, to ask if your bot can be added please contact us.
  9. Check for duplicates before posting, duplicates may be removed

Approved Bots


founded 1 year ago
MODERATORS
 

If you're in the US, you might see a new shaded section at the top of your Google Search results with a summary answering your inquiry, along with links for more information. That section, generated by Google's generative AI technology, used to appear only if you've opted into the Search Generative Experience(SGE) in the Search Labs platform. Now, according to Search Engine Land, Google has started adding the experience on a "subset of queries, on a small percentage of search traffic in the US." And that is why you could be getting Google's experimental AI-generated section even if you haven't switched it on.

you are viewing a single comment's thread
view the rest of the comments
[–] [email protected] 57 points 8 months ago (1 children)

All the talk about how much computing power and electricity AI uses, and then Google and Bing just run it for every (most? many? some?) search.

[–] [email protected] 14 points 8 months ago (1 children)

Isn't it the training of the models which is the most energy intensive? whereas generating some text in answer to a question is probably not super intensive. Caveat: I know nothing

[–] [email protected] 43 points 8 months ago (1 children)

Yes training is the most expensive but it's still an additional trillion or so floating point operations per generated token of output. That's not nothing computationally.

[–] [email protected] 2 points 7 months ago

Just consider how long it takes GPT4 to answer a question. Anywhere from a few seconds to a minute in my experience. There's at least one A100 at probably 400w going full throttle that whole time, plus all the supporting hardware.