In our experience, even deep learning technologists at the top of their game are surprised when we point out that deep learning (or any other form of AI) struggles when tasked with predicting the future.It seems to do a pretty good job of predicting future stock market performance. But of course the authors have an axe to grind and choose to view the world through their narrow filter, probably because they want to promote their book and tap into the "tech is bad" trope thats going on in the wider culture.
Most significantly, AGI hypers have succeeded in directing a large amount of funding toward the fanciful goal of ensuring that this supposedly imminent AGI will be aligned with humanity’s interests. Crucially, much of this community believes that we already have all the innovations we need to reach AGI; we just need to throw more hardware at the neural networks we already have.
The problem with this argument is that we have no idea what the "warning signs" of imminent AGI is. It could take 2-3 key breakthroughs or it could take a few hundred. Whatever the case is, we should think about investing in a fire alarm system before theres a fire.