Unless you want to call your predictive text on your keyboard a mind you really can’t call an LLM a mind. It is nothing more than a linear progression from that. Mathematically proven to not show any form of emergent behavior.
I do not think that it is “linear” progression. ANN by definition is nonlinear. Neither I think anything is “mathematically proven”. If I am wrong, please provide a link.
Thank you. This paper though does not state that there are no emergent abilities. It only states that one can introduce a metric with respect to which the emergent ability behaves smoothly and not threshold-like. While interesting, it only suggests that things like intelligence are smooth functions, but so what? Some other metrics show exponential or threshold dependence and whether the metric is right depends only how one will use it. And there is no law that emerging properties have to be threshold like. Quite the opposite - nearly all examples in physics that I know, the emergence appears gradually.
No such thing has been “mathematically proven.” The emergent behavior of ML models is their notable characteristic. The whole point is that their ability to do anything is emergent behavior.
Unless you want to call your predictive text on your keyboard a mind you really can’t call an LLM a mind. It is nothing more than a linear progression from that. Mathematically proven to not show any form of emergent behavior.
I do not think that it is “linear” progression. ANN by definition is nonlinear. Neither I think anything is “mathematically proven”. If I am wrong, please provide a link.
Sure thing: here’s a white paper explicitly proving:
https://arxiv.org/abs/2304.15004
Thank you. This paper though does not state that there are no emergent abilities. It only states that one can introduce a metric with respect to which the emergent ability behaves smoothly and not threshold-like. While interesting, it only suggests that things like intelligence are smooth functions, but so what? Some other metrics show exponential or threshold dependence and whether the metric is right depends only how one will use it. And there is no law that emerging properties have to be threshold like. Quite the opposite - nearly all examples in physics that I know, the emergence appears gradually.
No such thing has been “mathematically proven.” The emergent behavior of ML models is their notable characteristic. The whole point is that their ability to do anything is emergent behavior.
Here’s a white paper explicitly proving:
https://arxiv.org/abs/2304.15004
The field changes fast, I understand it is hard to keep up
Sure, if you define “emergent abilities” just so. It’s obvious from context that this is not what I described.
Their paper uses industry standard definitions
Their paper uses terminology that makes sense in context. It’s not a definition of “emergent behavior.”