Elon Musk wants to rewrite "the entire corpus of human knowledge" with Grok

[tedde@lemmy.world]

Unironically Orwellian

[mehblah@lemmy.world]

I'm just seeing bakes in the lies.

[aaron@infosec.pub]

asdf

[aaron@infosec.pub]

asdf

[jaemo@sh.itjust.works]

An interesting thought experiment: I think he's full of shit, you think he's full of himself. Maybe there's a "theory of everything" here somewhere. E = shit squared?

[softestsapphic@lemmy.world]

I remember when I learned what corpus meant too

[why0y@lemmy.ml]

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?

[schadrach@lemmy.sdf.org]

Again, read the rest of the comment. Wikipedia very much repeats the views of reliable sources on notable topics - most of the fuckery is in deciding what counts as "reliable" and "notable".

[aaron@infosec.pub]

asdf

[andros_rex@lemmy.world]

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.

[justapenguin@lemmy.world]

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.

[jcbazpx@lemmy.world]

which has advanced reasoning

No it doesn't.

[jcbazpx@lemmy.world]

Can't stop the signal.

[greenknight23@lemmy.world]

if you won't tell my truth I'll force you to acknowledge my truth.

nothing says abusive asshole more than this.

[cilethesane@lemmy.ca]

Is he still carrying his little human shield around with him everywhere or can someone Luigi this fucker already?

[zildjiandrummer1@lemmy.world]

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.

[unsavorymollusk@lemmy.world]

Yes please do that Elon, please poison grok with garbage until full model collapse.

[zildjiandrummer1@lemmy.world]

I said literally this in my reply, and the lemmy hivemind downvoted me. Beware of sharing information here I guess.

[thedeadlysquid@lemm.ee]

“Deleting Errors” should sound alarm bells in your head.

[leftthegroup@lemmings.world]

Instead, he should improve humanity by dying. So much easier and everyone would be so much happier.