this post was submitted on 27 May 2024
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They keep saying it's impossible, when the truth is it's just expensive.
That's why they wont do it.
You could only train AI with good sources (scientific literature, not social media) and then pay experts to talk with the AI for long periods of time, giving feedback directly to the AI.
Essentially, if you want a smart AI you need to send it to college, not drop it off at the mall unsupervised for 22 years and hope for the best when you pick it back up.
I let you in on a secret: scientific literature has its fair share of bullshit too. The issue is, it is much harder to figure out its bullshit. Unless its the most blatant horseshit you've scientifically ever seen. So while it absolutely makes sense to say, let's just train these on good sources, there is no source that is just that. Of course it is still better to do it like that than as they do it now.
Google AI suggested you put glue on your pizza because a troll said it on Reddit once...
Not all scientific literature is perfect. Which is one of the many factors that will stay make my plan expensive and time consuming.
You can't throw a toddler in a library and expect them to come out knowing everything in all the books.
AI needs that guided teaching too.
Genuine question: do you know that's what happened? This type of implementation can suggest things like this without it having to be in the training data in that format.
In this case, it seems pretty likely. We know Google paid Reddit to train on their data, and the result used the exact same measurement from this comment suggesting putting Elmer’s glue in the pizza:
https://old.reddit.com/r/Pizza/comments/1a19s0/my_cheese_slides_off_the_pizza_too_easily/
And their deal with Reddit: https://www.cbsnews.com/news/google-reddit-60-million-deal-ai-training/
It's going to be hilarious to see these companies eventually abandon Reddit because it's giving them awful results, and then they're completely fucked
This doesn't mean that there are reddit comments suggesting putting glue on pizza or even eating glue. It just means that the implementation of Google's LLM is half baked and built it's model in a weird way.
Yes