this post was submitted on 06 Aug 2025
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[–] Electricd@lemmybefree.net -3 points 2 weeks ago* (last edited 2 weeks ago) (1 children)

the harder it is for AI developing companies to improve on previous models.

They all use each other's data to improve. That's federated learning!

In a way, it's good because it helps have more competition

[–] BlackRoseAmongThorns@slrpnk.net 3 points 2 weeks ago (1 children)

I was talking about ai training on ai output, ai requires genuine data, having a feedback loop makes models regress, see how ai makes yellow pictures because of the ghibli ai thing

[–] Electricd@lemmybefree.net 0 points 2 weeks ago (1 children)

Sure, that mainly applies when it's the same model training on itself. If a model trains on a different one, it might retrieve some good features from it, but the bad sides as well

[–] BlackRoseAmongThorns@slrpnk.net 0 points 2 weeks ago (1 children)

AI requires genuine data, period. Go read about it instead of spewing nonsense.

[–] Electricd@lemmybefree.net 0 points 2 weeks ago* (last edited 2 weeks ago)

If they weren’t trained on the same data, it ends up similar

Training inferior models with superior models output can lower the gap between both. It’ll not be optimal by any means and you might fuck its future learning, but it will work to an extent

The data you feed it should be good quality though