The issue for me is different generalized classes of tasks operate on different sets of symbols, and we often use AI that are trained to operate on a single set of symbols, often the symbols are dependent on the AI as well, as with GPT-2 token embedding and position embedding, or any Transformer model. Maybe test building independent of the AI step and could see a high standard of quality and generalization power/capability. Then testing AI's ability to transfer learned grammar for operating on a set for a class of tasks between classes and form higher order grammars. ------------------------------------------ Artificial General Intelligence List: AGI Permalink: https://agi.topicbox.com/groups/agi/T8fe5317c3cebf70b-Me934aad8fdd56e599749a5cd Delivery options: https://agi.topicbox.com/groups/agi/subscription
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