Artificial Intelligence
by Terence Faircloth · updated 9d ago
Artificial Intelligence
by Terence Faircloth · updated 9d ago
Terence Faircloth added 9d ago
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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The problem may even get worse. Generative AI is producing vast amounts of questionable content that contaminates the datasets on which future AIs will be trained.
Terence Faircloth added 9d ago
Terence Faircloth added 9d ago
In order not to cause offense and alienate their customers, AI creators are making them less critical and more obsequious. Research from Google has shown that AIs get more sycophantic as they become more advanced.
Terence Faircloth added 9d ago
I think the most worrisome aspect of AI systems in the short term is that we will give them too much autonomy without being fully aware of their limitations and vulnerabilities. We tend to anthropomorphize AI systems: we impute human qualities to them and end up overestimating the extent to which these systems can actually be fully trusted.
Terence Faircloth added 9d ago
A phenomenon observed in some AI chatbots is the tendency to provide excessively positive or conflict-avoiding responses, particularly on complex or controversial topics. This “kumbaya effect” can result in oversimplified or unrealistic portrayals of nuanced issues. While seemingly benign, this tendency raises concerns about the potential for AI sy
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