Then again, there is another obvious solution to this manufactured problem: AI companies could simply stop trying to create bigger and better models, given that aside from the training data shortage, they also use tons of electricity and expensive computing chips that require the mining of rare-earth minerals.
It’s always been a boondoggle…
But there has to be something investors don’t understand that they’ll dump billions into.
Might as well stop producing new GPUs entirely, video games, video editing, shit basically anything done of a computer outside is a waste of electricity and rare earth minerals.
We don’t even need search engines, let’s go back to libraries and paper books!
As long as it’s not housing or food, we don’t need it. Let’s go full fucking anprim because anything else isn’t required to survive and is a waste of resources.
Of course not. It is comments right here on this thread and if you are going to take a shot, you need to take a moment to get your facts together.
What I am talking about is the AI industry already ran out of data well over a year or so ago and have been using synthetic data ever since. The authors of the article clearly know this, but wanted to spin it as if it is an issue when it is not to get the haters to click.
It’s always been a boondoggle…
But there has to be something investors don’t understand that they’ll dump billions into.
Might as well stop producing new GPUs entirely, video games, video editing, shit basically anything done of a computer outside is a waste of electricity and rare earth minerals.
We don’t even need search engines, let’s go back to libraries and paper books!
As long as it’s not housing or food, we don’t need it. Let’s go full fucking anprim because anything else isn’t required to survive and is a waste of resources.
In your sarcastic drivel, you were correct.
We should stop wasting electricity for recreation. We should stop mining rare earth metals.
Okay, you go live in the cave first.
Much like every other human alive, I’m a hypocrite.
Ah, I thought you were just an idiot.
They have already moved onto synthetic data though and doing fine with training bigger models.
I was going to quote the part of the article about that, but it’s most of the article.
You should just read it.
You missed my other comments but nice try.
…
You expected me to go and read all your other comments to understand your one reply to me?
Who has time to do that? Like, not just once, but to do it everytime someone replies to you?
And even if I had, that was the first one in this thread…
Out of morbid curiosity, what are you even talking about about?
Of course not. It is comments right here on this thread and if you are going to take a shot, you need to take a moment to get your facts together.
What I am talking about is the AI industry already ran out of data well over a year or so ago and have been using synthetic data ever since. The authors of the article clearly know this, but wanted to spin it as if it is an issue when it is not to get the haters to click.