[I]f you look at the progression of AI models, it... went the opposite direction. ...AI started with linguistic protocols, which were expressed in fo… - Joscha Bach

General intelligence is not only the ability to reach a given goal (and usually, there is some very specialized, but non-intelligent way to reach a singular fixed goal, such as winning a game of chess), but includes the setting of novel goals, and most important of all, about exploration. ...[A]n environment with fixed tasks, scaled by an agent with pre-defined goals is not going to make a good benchmark problem for AGI.

Arguably most people are not generally intelligent, because they don't have to solve problems that make them generally intelligent. ...[I]t's not yet clear if we are smart enough to build AI and understand our own nature to this degree... [I]t could be a matter of capacity, and for most people it's... a matter of interest. They don't see the point because the benefits of attempting this project are marginal, because you're probably not going to succeed... and the cost... requires complete dedication of your entire life.

With this vector space you can do amazing things, [e.g.,] if you take the vector from king to queen, it's pretty much the same vector as between man and woman. ...[B]ecause [these concept spaces are] really a high dimension manifold, we can do interesting things like machine translation without understanding what it means, that is, without doing any proper mental representation that predicts the world. ...[T]his is [a] type of mental representation that is somewhat incomplete, but it captures the landscape that we share in a culture.