Has any generative AI been demonstrated to exhibit the generalized intelligence (e.g. achieving in a non-simulated environment complex tasks or simple tasks in novel environments) of a vertebrate, or even a higher-order non-vertebrate? Serious question--I don't know either way. I've had trouble finding a clear answer; what little I have found is highly qualified and caveated once you get past the abstract, much like attempts in prior AI eras.
> Planning: We demonstrate that V-JEPA 2-AC, obtained by post-training V-JEPA 2 with only 62
hours of unlabeled robot manipulation data from the popular Droid dataset, can be deployed in new environments to solve prehensile manipulation tasks using planning with given subgoals. Without training on any additional data from robots in our labs, and without any task-specific training or reward, the model successfully handles prehensile manipulation tasks, such as Grasp and Pick-and-Place with novel objects and in new environments.
There is no real bar any more for generalized intelligence. The bars that existed prior to LLMs have largely been met. Now we’re in a state where we are trying to find new bars, but there are none that are convincing.
ARC-AGI 2 private test set is one current bar that a large number of people find important and will be convincing to a large amount of people again if LLMs start doing really well on it. Performance degradation on the private set is still huge though and far inferior to human performance.
