> If you asked someone 10 years ago about the possibilities of ML/Deep learning they'd say it was far off too.
But when you read a little more about recent advances, you gain a healthy respect for the difficulty of the problems that are still left to solve. That tends to make researchers have lower expectations for an easy emergence of AGI than the general public.
We can't even generate a whole page of text that doesn't sound silly, with any neural network or AI algorithm to date. We're a long way off.
I don't know. It sounds more like the current approaches don't get us AGI. The machine learning tools are not enough. But that doesn't mean AGI is intrinsically hard. Maybe you just need a couple of different things in tandem, like OpenCog does.
> If you asked someone 10 years ago about the possibilities of ML/Deep learning they'd say it was far off too.
But when you read a little more about recent advances, you gain a healthy respect for the difficulty of the problems that are still left to solve. That tends to make researchers have lower expectations for an easy emergence of AGI than the general public.
We can't even generate a whole page of text that doesn't sound silly, with any neural network or AI algorithm to date. We're a long way off.