Within the theme of Hinton and LeCun colouring outside their lines, it bothers me how much the general public seem to look to them for opinions on ASI, which is a very different thing from engineering ML models, which, in my understanding, is what they are experts of.
Sure, understanding where ML fits in the process of developing ASI requires knowledge of ML, but it seems to me that Bostrom and Yampolskiy are clearly more experts in the domain of ASI than Hinton or LeCun.
More subtly, I think Hinton and LeCun are experts at getting ML models to perform well. That may or may not give them understanding of the limits of ML capabilities as the technology continues to develop.
It is as if Hinton and LeCun have been given authority to speak on the subject not because they understand it, but because they made something that is now profitable and popular. Please correct me if I am misunderstanding their expertise. I haven’t researched their backgrounds extensively.
Within the theme of Hinton and LeCun colouring outside their lines, it bothers me how much the general public seem to look to them for opinions on ASI, which is a very different thing from engineering ML models, which, in my understanding, is what they are experts of.
Sure, understanding where ML fits in the process of developing ASI requires knowledge of ML, but it seems to me that Bostrom and Yampolskiy are clearly more experts in the domain of ASI than Hinton or LeCun.
More subtly, I think Hinton and LeCun are experts at getting ML models to perform well. That may or may not give them understanding of the limits of ML capabilities as the technology continues to develop.
It is as if Hinton and LeCun have been given authority to speak on the subject not because they understand it, but because they made something that is now profitable and popular. Please correct me if I am misunderstanding their expertise. I haven’t researched their backgrounds extensively.