I don’t think a gradual scale is very helpful because I don’t think that the progression from current-generation AI to AGI is going to be gradual (it will require at least one paradigm shift). That said, if you want to compare AI progress to actual animals then our current-gen AI way beyond ants. Note that, while we haven’t fully mapped the neurons/connectome of ants yet, this is unnecessary to emulate their decision-making power. And we have mapped (and can simulate) the full connectome of simpler animals (e.g. C. elegans, P. dumerilii) so we’re definitely a long way beyond single molecules.
As I understand it open worm is a hodge podge of statistical and numerical methods to try and replicate the sensorimotor behavior of c elegans. Open worm is neither complete, accurate nor elegant, despite knowing c elegans connectome and having mapped the some 900 cells in the worms body.
But pick any set of stimuli you like, feed it into the models and you get a response that corresponds exactly with empirical observation. I’d therefore definitely call the neuronal model itself accurate and complete.