Anthropic \ Tracing Model Outputs to the Training Data
anthropic.com
Anthropic \ Tracing Model Outputs to the Training Data
As we build systems whose capabilities more and more resemble those of humans, despite the fact that those systems work in ways that are fundamentally different from the way humans work, it becomes increasingly tempting to anthropomorphise them. Humans have evolved to co-exist over many millions of years, and human culture has evolved over thousand
... See moreMurray Shanahan • Talking about large language models
Large language models cannot replace human participants because they cannot portray identity groups
arxiv.org
Anthropic
anthropic.com
The ouroboros effect in AI is the danger of AI-generated content contaminating datasets for future AI models. It is indeed a growing concern in the field of artificial intelligence. One result is Model Collapse. Research has shown that when new generative models are trained on AI-generated content, they can gradually degenerate, leading to a phenom
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