"Today’s most advanced AI models have many flaws, but decades from now, they will be recognized as the first true examples of artificial general intelligence."

"Today’s most advanced AI models have many flaws, but decades from now, they will be recognized as the first true examples of artificial general intelligence." Norvig seems to be using a loose technical definition of AGI, roughly "AI with some degree of generality", which is hard to argue with, although by that measure older GOFAI systems like SOAR might also qualify. Certainly "deep learning" in general (connectionist vs symbolic, self-learnt representations) was a step in the right direction, and LLMs a second step, but it seems we're still a half dozen MAJOR steps away from anything similar to animal intelligence, with one critical step being moving beyond full dataset pre-training to new continuous learning algorithms.