Honest question, is it possible that since might be using the latest/best model to analyze and improve the existing ones, the moat will expand exponentially, making the models better and more efficient at each iteration until there is no point in competing?
I also was having a similar thought, and think you wrote the answer I could not put my finger on.
Compilers are deterministic, AI is a stochastic process, it doesn't always converge exactly to the same answer. Here's the main difference
Me too, I printed it and underlined it, I will try to memorize some of the concepts and the exposition, because this is a cristallization of what I vaguely feel about the abuse of LLM I am currently witnessing
That is very true, although I also have the opposite example: some math books at Uni (e.g. the recommended one for calculus) were so dense with information that I could not make head and tails
I often had to buy a second book where the content was... well digestible
Well... hold your horses, when you make solar panel self replicating and self-healing nano-machines that span all over the planet you would have beaten nature.
So far we have beaten nature on the aspect of sheer efficiency