Well… Its built on statistics and statistical inference will return to the mean eventually. If all it ever gets to train on is closer and closer to the mean, there will be nothing left to work with. It will all be the average…
You have to pretty much intentionally give it enough synthetic data to wreck it. OpenAI and Anthropic train their models on generated data to improve them. As long as there’s supervision during training, which there always will be, this isn’t really a problem.
Yep. It leads to a positive feedback loop. They just continue to self-reinforce whatever came out before.
And with increasing amounts of the internet being polluted with AI text output…
… AI inbreeding.
We call it the GRRM model.
What about the Grrr! model after that astoundingly XD So Random! thing from Invader Zim?
He’s an android or robot, right?
In the USA, they call it the AlaLlama model.
GPTargaryen
deleted by creator
hapsburgGPT
To be fair this doesn’t sound much different than your average human using the internet.
2024, Reverse Turing Test Challenge:
Can an LLM AI differentiate between human input and LLM AI input?
That seems so obviously predictable.
Well… Its built on statistics and statistical inference will return to the mean eventually. If all it ever gets to train on is closer and closer to the mean, there will be nothing left to work with. It will all be the average…
You have to pretty much intentionally give it enough synthetic data to wreck it. OpenAI and Anthropic train their models on generated data to improve them. As long as there’s supervision during training, which there always will be, this isn’t really a problem.
https://openai.com/index/prover-verifier-games-improve-legibility/
https://www.anthropic.com/research/claude-character