Sure. My best guess for how we will train AGI is via giving it access to huge amounts of data—e.g. every outbound Reddit link as in GPT-2. Given that sort of a massive, rich dataset, I think that for a model to determine the particular training procedure that it’s undergoing won’t be very difficult. If it just reads the Wikipedia pages on ML, gradient descent, etc. and some arXiv papers on transparency techniques, for example, then that should give it everything it needs to know.
Sure. My best guess for how we will train AGI is via giving it access to huge amounts of data—e.g. every outbound Reddit link as in GPT-2. Given that sort of a massive, rich dataset, I think that for a model to determine the particular training procedure that it’s undergoing won’t be very difficult. If it just reads the Wikipedia pages on ML, gradient descent, etc. and some arXiv papers on transparency techniques, for example, then that should give it everything it needs to know.