[EliasY]

Adding to the fact that thousands of tricks are involved in the resourcefulness of the human brain and that each trick has multiple ways to interact with other tricks or modify itself . Duplicating this feat into machines isn't a simple matter. AGI isn't going to be some miracle of ML or any one technique. It requires simulating several different self selective learning models and their managers including a way to learn and debug better ways of learning, combining at least 10 different realms of knowledge and process representation including language abstractions, several tools for selecting which method for learning/remembering/acting is appropriate, several strategies for goal creation, selection, planning, execution and evaluation, a robust and scalable memory architecture, a dependable way to interact with the environment, programs for self evaluation and debugging.... the list goes on..... Bottom line is that nobody can get all this functionality from a few optimization algorithms...

[citrablue]

Didn't we already get all this functionality from one optimization algorithm, namely, biological evolution?

[EliasY]

Yes. But I don't think we've millions of years to make that happen nor do we have the capabilities or the knowledge to create the environmental situations that could potentially reinforce these mutations.

[citrablue]

The timeline only matters if the generational period is the same. For the rest, I agree that we don't currently. But things change.