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Related communities
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Video games
Generic
- !gaming@Lemmy.world: Our sister community, focused on PC and console gaming. Meme are allowed.
- !photomode@feddit.uk: For all your screenshots needs, to share your love for games graphics.
- !vgmusic@lemmy.world: A community to share your love for video games music
Help and suggestions
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- !AutomationGames@lemmy.zip
- !Incremental_Games@incremental.social
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- !WorkersAndResources@lemmy.world
Language specific
- !JeuxVideo@jlai.lu: French
view the rest of the comments
If "everyone will be using AI" and it's not a bad thing, then these big companies should wear it as a badge of honor. The rest of us will buy accordingly.
If "everyone will be using AI", AI will turn to shit.
They can't create originality, they're only recycling and recontextualising existing information. But if you recycle and recontextualise the same information over and over again, it keeps degrading more and more.
It's ironic that the very people who advocate for AI everywhere, fail to realise just how dependent the quality of AI content is on having real, human generated content to input to train the model.
How does this model collapse thing still get spread around? It's not true. Synthetic data has actually helped bots get smarter, not dumber. And if you think that all Gemini3 does is recycle idk what to tell you
If the model collapse theory weren't true, then why do LLMs need to scrape so much data from the internet for training ?
According to you, they should be able to just generate synthetic training data purely with the previous model, and then use that to train the next generation.
So why is there even a need for human input at all then ? Why are all LLM companies fighting tooth and nail against their data scraping being restricted, if real human data is in fact so unnecessary for model training, and they could just generate their own synthetic training data instead ?
You can stop models from deteriorating without new data, and you can even train them with synthetic data, but that still requires the synthetic data to either be modelled, or filtered by humans to ensure its quality. If you just take a million random chatGPT outputs, with no human filtering whatsoever, and use those to retrain the chatGPT model, and then repeat that over and over again, eventually the model will turn to shit. Each iteration some of the random tweaks chatGPT makes to their output are going to produce some low quality outputs, which are now presented to the new training model as a target to achieve, so the new model learns that the quality of this type of bad output is actually higher, which makes it more likely for it to reappear in the next set of synthetic data.
And if you turn of the random tweaks, the model may not deteriorate, but it also won't improve, because effectively no new data is being generated.
I stopped reading when you said according to me and then produced a wall of text of shit I never said.
Synthetic data is massively helpful. You can look it up. This is a myth.
That is enormously ironic, since I literally never claimed you said anything except for what you did: Namely, that synthetic data is enough to train models.
LIterally, the very next sentence starts with the words "Then why", which clearly and explicitly means I'm no longer indirectly quoting you Everything else in my comment is quite explicitly my own thoughts on the matter, and why I disagree with that statment, so in actual fact, you're the one making up shit I never said.