1313
Google search is over
(mastodon.social)
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
this post was submitted on 16 Aug 2023
1313 points (100.0% liked)
Technology
60009 readers
1963 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 2 years ago
MODERATORS
You cannot detect AI generated content. Not with any real world accuracy and it will only get worse.
Also, because google relies on growth for everything from compensation structure to business model, they are in a bind - ads is not growing anymore, it’s done.
And while they managed to create an illusion of growth this earnings round by juicing subscription fees 20% and increasing ad load everywhere, it’s not a sustainable tactic. We are already seeing a tech sell off as people are getting less and less secure.
So they rely on AI narrative to keep investors invested Google needs AI to work or the investors will move it to a place that may offer higher returns than a squeezed out ads model.
Worse even they are being attacked by AI - on the quality front (junk content) and in the marketplace (openAI), they don’t have a choice but to take a pro AI stance.
AI is its own worst enemy. If you can't identify AI output, that means AIs are going to train on AI generated content, which really hurts the model.
Its literally in everyone's best interest, including AI itself, to start leaving identification of some kind inherent to all output.
Those studies are flawed. by definition when you can no longer tell the difference the difference on training is nil.
It's more like successive generations of inbreeding. Unless you have perfect AI content, perfect meaning exactly mirroring the diversity of human content, the drivel will amplify over time.
Given chinchilla law, nobody in their right mind trains models via shotgun ingesting all data anymore. Gains are made with quality of data at this point, less than volume.