> What do you think training to predict when to use different continuations is other than learning?

Sure, training = learning, but the problem with LLMs is that is where it stops, other than a limited amount of ephemeral in-context learning/extrapolation.

With an LLM, learning stops post-training when it is "born" and deployed, while with an animal that's when it starts! The intelligence of an animal is a direct result of it's lifelong learning, whether that's imitation learning from parents and peers (and subsequent experimentation to refine the observed skill), or the never ending process of observation/prediction/surprise/exploration/discovery which is what allows humans to be truly creative - not just behaving in ways that are endless mashups of things they have seen and read about other humans doing (cf training set), but generating truly novel behaviors (such as creating scientific theories) based on their own directed exploration of gaps in mankind's knowledge.

Application of AGI to science and new discovery is a large part of why Hassabis defines AGI as human-equivalent intelligence, and understands what is missing, while others like Sam Altman are content to define AGI as "whatever makes us lots of money".