We will use Grok 3.5 (maybe we should call it 4), which has advanced reasoning, to rewrite the entire corpus of human knowledge, adding missing information and deleting errors.
Then retrain on that.
Far too much garbage in any foundation model trained on uncorrected data.
“and then on retrain on that”
Thats called model collapse.
Grandiose delusions from a ketamine-rotted brain.
Spoiler: He’s gonna fix the “missing” information with MISinformation.
She sounds Hot
She’s unfortunately can’t see you because of financial difficulties. You gotta give her money like I do. One day, I will see her in person.
[My] translation: “I want to rewrite history to what I want”.
That was my first impression, but then it shifted into “I want my AI to be the shittiest of them all”.
Why not both?
Isn’t everyone just sick of his bullshit though?
US tax payers clearly aren’t since they’re subsidising his drug habit.
If we had direct control over how our tax dollars were spent, things would be different pretty fast. Might not be better, but different.
At this point a significant part of the country would decide to airstrike US primary schools to stop wasting money and indoctrinating kids.
More guns?
I wonder how many papers he’s read since ChatGPT released about how bad it is to train AI on AI output.
adding missing information and deleting errors
Which is to say, “I’m sick of Grok accurately portraying me as an evil dipshit, so I’m going to feed it a bunch of right-wing talking points and get rid of anything that hurts my feelings.”
That is definitely how I read it.
History can’t just be ‘rewritten’ by A.I. and taken as truth. That’s fucking stupid.
It’s truth in Whitemanistan though
“Deleting Errors” should sound alarm bells in your head.
And the adding missing information doesn’t. Isn’t that just saying we are going to make shit up.
He’s been frustrated by the fact that he can’t make Wikipedia ‘tell the truth’ for years. This will be his attempt to replace it.
There are thousands of backups of wikipedia, and you can download the entire thing legally, for free.
He’ll never be rid of it.
Wikipedia may even outlive humanity, ever so slightly.
Wikipedia may even outlive humanity, ever so slightly.
Seconds after the last human being dies, the Wikipedia page is updated to read:
Humans (Homo sapiens) or modern humans were the most common and widespread species of primate
And then 30 seconds after that it’ll get reverted because the edit contains primary sources.
Elon Musk, like most pseudo intellectuals, has a very shallow understanding of things. Human knowledge is full of holes, and they cannot simply be resolved through logic, which Mush the dweeb imagines.
Uh, just a thought. Please pardon, I’m not an Elon shill, I just think your argument phrasing is off.
How would you know there are holes in understanding, without logic. How would you remedy gaps of understanding in human knowledge, without the application of logic to find things are consistent?
You have to have data to apply your logic too.
If it is raining, the sidewalk is wet. Does that mean if the sidewalk is wet, that it is raining?
There are domains of human knowledge that we will never have data on. There’s no logical way for me to 100% determine what was in Abraham Lincoln’s pockets on the day he was shot.
When you read real academic texts, you’ll notice that there is always the “this suggests that,” “we can speculate that,” etc etc. The real world is not straight math and binary logic. The closest fields to that might be physics and chemistry to a lesser extent, but even then - theoretical physics must be backed by experimentation and data.
Thanks I’ve never heard of data. And I’ve never read an academic text either. Condescending pos
So, while I’m ironing out your logic for you, “what else would you rely on, if not logic, to prove or disprove and ascertain knowledge about gaps?”
You asked a question, I gave an answer. I’m not sure where you get “condescending” there. I was assuming you had read an academic text, so I was hoping that you might have seen those patterns before.
You would look at the data for gaps, as my answer explained. You could use logic to predict some gaps, but not all gaps would be predictable. Mendeleev was able to use logic and patterns in the periodic table to predict the existence of germanium and other elements, which data confirmed, but you could not logically derive the existence of protons, electrons and neutrons without the later experimentations of say, JJ Thompson and Rutherford.
You can’t just feed the sum of human knowledge into a computer and expect it to know everything. You can’t predict “unknown unknowns” with logic.
So just making shit up.
Don’t forget the retraining on the made up shit part!
So they’re just going to fill it with Hitler’s world view, got it.
Typical and expected.
I mean, this is the same guy who said we’d be living on Mars in 2025.
In a sense, he’s right. I miss good old Earth.
“If we take this 0.84 accuracy model and train another 0.84 accuracy model on it that will make it a 1.68 accuracy model!”
~Fucking Dumbass
1.68 IQ move
More like 0.7056 IQ move.
The thing that annoys me most is that there have been studies done on LLMs where, when trained on subsets of output, it produces increasingly noisier output.
Sources (unordered):
- What is model collapse?
- AI models collapse when trained on recursively generated data
- Large Language Models Suffer From Their Own Output: An Analysis of the Self-Consuming Training Loop
- Collapse of Self-trained Language Models
Whatever nonsense Muskrat is spewing, it is factually incorrect. He won’t be able to successfully retrain any model on generated content. At least, not an LLM if he wants a successful product. If anything, he will be producing a model that is heavily trained on censored datasets.
It’s not so simple, there are papers on zero data ‘self play’ or other schemes for using other LLM’s output.
Distillation is probably the only one you’d want for a pretrain, specifically.
deleted by creator
The plan to “rewrite the entire corpus of human knowledge” with AI sounds impressive until you realize LLMs are just pattern-matching systems that remix existing text. They can’t create genuinely new knowledge or identify “missing information” that wasn’t already in their training data.
What he means is correct the model so all it models is racism and far-right nonsense.
Remember the “white genocide in South Africa” nonsense? That kind of rewriting of history.
It’s not the LLM doing that though. It’s the people feeding it information
Try rereading the whole tweet, it’s not very long. It’s specifically saying that they plan to “correct” the dataset using Grok, then retrain with that dataset.
It would be way too expensive to go through it by hand
Yes.
He wants to prompt grok to rewrite history according to his worldview, then retrain the model on that output.
Literally what Elon is talking about doing…
But Grok 3.5/4 has Advanced Reasoning
Surprised he didn’t name it Giga Reasoning or some other dumb shit.
Gigachad Reasoning
To be fair, your brain is a pattern-matching system.
When you catch a ball, you’re not doing the physics calculations in your head- you’re making predictions based on an enormous quantity of input. Unless you’re being very deliberate, you’re not thinking before you speak every word- your brain’s predictive processing takes over and you often literally speak before you think.
Fuck LLMs- but I think it’s a bit wild to dismiss the power of a sufficiently advanced pattern-matching system.
I said literally this in my reply, and the lemmy hivemind downvoted me. Beware of sharing information here I guess.
Generally, yes. However, there have been some incredible (borderline “magic”) emergent generalization capabilities that I don’t think anyone was expecting.
Modern AI is more than just “pattern matching” at this point. Yes at the lowest levels, sure that’s what it’s doing, but then you could also say human brains are just pattern matching at that same low level.
Nothing that has been demonstrated makes me think these chatbots should be allowed to rewrite human history what the fuck?!
Tech bros see zero value in humanity beyond how it can be commodified.
That’s not what I said. It’s absolutely dystopian how Musk is trying to tailor his own reality.
What I did say (and I’ve been doing AI research since the AlexNet days…) is that LLMs aren’t old school ML systems, and we’re at the point that simply scaling up to insane levels has yielded results that no one expected, but it was the lowest hanging fruit at the time. Few shot learning -> novel space generalization is very hard, so the easiest method was just take what is currently done and make it bigger (a la ResNet back in the day).
Lemmy is almost as bad as reddit when it comes to hiveminds.
You literally called it borderline magic.
Don’t do that? They’re pattern recognition engines, they can produce some neat results and are good for niche tasks and interesting as toys, but they really aren’t that impressive. This “borderline magic” line is why they’re trying to shove these chatbots into literally everything, even though they aren’t good at most tasks.
It’s clear you don’t really understand the wider context and how historically hard these tasks have been. I’ve been doing this for a decade and the fact that these foundational models can be pretrained on unrelated things then jump that generalization gap so easily (within reason) is amazing. You just see the end result of corporate uses in the news, but this technology is used in every aspect of science and life in general (source: I do this for many important applications).
