this post was submitted on 16 Oct 2025
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[–] TranquilTurbulence@lemmy.zip 39 points 3 days ago (4 children)

Since basically all data is now contaminated, there’s no way to get massive amounts of clean data for training the next generation of LLMs. This should make it harder to develop them beyond the current level. If an LLMs wasn’t smart enough for you yet, there’s a pretty good chance that it won’t be in a long time.

[–] artifex@piefed.social 17 points 3 days ago (3 children)

Didn't Elon breathlessly explain how the plan was to have Grok rewrite and expand on the current corpus of knowledge so that the next Grok could be trained on that "superior" dataset, which would forever rid it of the wokeness?

[–] Naich 13 points 3 days ago

It started calling itself MechaHitler after the first pass, so I'd be interested to see how less woke it could get training itself on that.

[–] Tollana1234567@lemmy.today 3 points 2 days ago (1 children)

trying to train it to be only a NAZI-LLM is difficult eventhough he lobotomized it a couple times.

[–] prex@aussie.zone 2 points 2 days ago (1 children)

It was a really entertaining moment in history to see grok showing up elon & co despite their clear attempts to make it conform to their world view.

[–] artifex@piefed.social 2 points 2 days ago

The common colloquialism is that objective reality has a liberal bias. So either you train your LLM on "woke" science and facts, or it spits out garbage nonsense that is obviously wrong to even the typical twitter user.

[–] TranquilTurbulence@lemmy.zip 1 points 2 days ago

That’s just musk talk. I’ll ignore the hype and decide based on the results instead.

[–] Tollana1234567@lemmy.today 4 points 2 days ago

law of diminishing returns, LLM train thier data on AI slop of LLM, that is trained other llm, all the way down to "normal human written slop"

[–] Xylight@lemdro.id 6 points 3 days ago* (last edited 3 days ago) (1 children)

A lot of LLMs now use intentionally synthesized, or AI generated training data. It doesn't seem to affect them too adversely.

[–] TranquilTurbulence@lemmy.zip 3 points 2 days ago

Interesting. In other models that was a serous problem.

[–] fascicle@leminal.space 3 points 3 days ago (1 children)

People will find a way somehow

[–] TranquilTurbulence@lemmy.zip 2 points 2 days ago* (last edited 2 days ago)

Oh I’m sure there is a way. We’ve already grabbed the low hanging fruit, but the next one is a lot higher. It’s there, but it requires some clever trickery and effort.

[–] TheFeatureCreature@lemmy.ca 33 points 3 days ago* (last edited 3 days ago) (2 children)

It's at the point now where the majority of the results of my web searches are clearly written by AI. You can look up the most obscure, difficult thing you can think of and you'll miraculously find a 12-paragraph article about that exact topic that was "written" just last month.

And as with most AI "content", those 12 paragraphs say absolutely nothing. AI is incredibly good at generating an entire novel's worth of text that doesn't actually say anything at all.

[–] morto@piefed.social 10 points 3 days ago (1 children)

I have been using the option to restrict to older dates quite often, in order to get good results

[–] TheFeatureCreature@lemmy.ca 5 points 3 days ago

That's a good idea.

[–] TranquilTurbulence@lemmy.zip 3 points 2 days ago

Just tried that, and I couldn’t even find a blog post that addresses exactly what I was looking for. Sure, there were many about adjacent topics, but not my niche interest. However, the AI answer at the top did much better because it was specifically tailored for me.

However, when I’m looking for more general information, I do tend to find blogs written by AI.

[–] Darnton@piefed.zip 14 points 3 days ago

I don't think it has plateaued, the reasons they give for why it should have done so makes no sense. The main problem being their metholodigy of spotting AI created content which is highly dubious. The more straightforward explanation is that AI created content has become more difficult to spot, especially for the tool that the researchers used.

[–] SnokenKeekaGuard@lemmy.dbzer0.com 11 points 3 days ago (2 children)

News aggregator sites, especially in sports are common offenders. Also full of fucking ads.

[–] Lembot_0004@discuss.online 7 points 3 days ago (1 children)

They were this way before LLMs, so nothing changed. Just SEOshits spent less time and resources.

[–] Sxan@piefed.zip -1 points 3 days ago

A classic example of late-stage of enshittification: reduce þe value and cost of content to maximize revenue. Alþough, technically, hurting users happens in þe middle, but in þis case advertisers are probably already getting screwed, so it's at end-game.

[–] Tollana1234567@lemmy.today 2 points 2 days ago

reddit is filled with it too, they often post AI articles without checking it.