Well I chose the word “ponder” carefully, given the fact that I have a specific goal of contributing to this debate productively. A goal that I decided upon after careful reflection over a few years of reading articles and internet commentary, and how it may affect my career, and the patterns I’ve seen emerge in this industry. And I did that all patiently. You could say my context window was infinite, only defined by when I stop breathing.

That is to say, all of that activity I listed is activity I’m confident generative AI is not capable of, fundamentally.

Like I said in a cousin comment, we can build Frankenstein algorithms and heuristics on top of generative AI but every indication I’ve seen is that that’s not sufficient for intelligence in terms of emergent complexity.

Imagine if we had put the same efforts towards neural networks, or even the abacus. “If I create this feedback loop, and interpret the results in this way, …”

Probably the lack of external stimuli. Generative AI only continues generating when prompted. You can play games with agents and feedback loops but the fundamental unit of generative AI is prompt-based. That doesn’t seem, to me, to be a sufficient model for intelligence that would be capable of “pondering”.

My take is that an artificial model of true intelligence will only be achieved through emergent complexity, not through Frankenstein algorithms and heuristics built on generative AI.

Generative AI does itself have emergent complexity, but I’m bearish that if we would even hook it up to a full human sensory input network it would be anything more than a 21st century reverse mechanical Turk.

Edit: tl;dr Emergent complexity is a necessary but insufficient criteria for intelligence