I dunno - I hear what you're saying about how it seems to lose track of things over long conversations. But part of the mental machinery that it lacks is the ab

I dunno - I hear what you're saying about how it seems to lose track of things over long conversations. But part of the mental machinery that it lacks is the ability to learn from those conversations and insert new ideas into its base model; every new conversation starts fresh. It has no long-term storage; it can't "keep notes" for itself, and we don't give it the ability to alter its fundamental state based on new input after we're done feeding it training data. I guess we're mostly agreeing, because those things are probably part of the "other mental machinery" we'd want to provide it, but I'd push back a little on "real comprehension". It kinda seems to me like the "comprehension engine" is working just fine, it's the structure we've built around that comprehension engine that's limiting it right now.