[Terretta]

> We can argue and do, about what agents "are" and whether they are parrots (no) or people (not yet).

It's more helpful to argue about when people are parrots and when people are not.

For a good portion of the day humans behave indistinguishably from continuation machines.

As moltbook can emulate reddit, continuation machines can emulate a uni cafeteria. What's been said before will certainly be said again, most differentiation is in the degree of variation and can be measured as unexpectedness while retaining salience. Either case is aiming at the perfect blend of congeniality and perplexity to keep your lunch mates at the table not just today but again in future days.

Seems likely we're less clever than we parrot.

[ccppurcell]

People like to, ahem, parrot this view, that we are not much more than parrots ourselves. But it's nonsense. There is something it is like to be me. I might be doing some things "on autopilot" but while I'm doing that I'm having dreams, nostalgia, dealing with suffering, and so on.

[JohnMakin]

It’s a weird product of this hype cycle that inevitably involves denying the crazy power of the human brain - every second you are awake or asleep the brain is processing enormous amounts of information available to it without you even realizing it, and even when you abuse the crap out of the brain, or damage it, it still will adapt and keep working as long as it has energy.

No current ai technology could come close to what even the dumbest human brain does already.

[djeastm]

A lot of that behind-the-scenes processing is keeping our meatbags alive, though, and is shared with a lot of other animals. Language and higher-order reasoning (that AI seems better and better at) has only evolved quite recently.

[bloomca]

All your thoughts are and experiences are real and pretty unique in some ways. However, the circumstances are usually well-defined and expected (our life is generally very standardized), so the responses can be generalized successfully.

You can see it here as well -- discussions under similar topics often touch the same topics again and again, so you can predict what will be discussed when the next similar idea comes to the front page.

[ccppurcell]

So what if we are quite predictable. That doesn't mean we are "trying" to predict the next word, or "trying" to be predictable, which is what llms are doing.

Over a large population, trends emerge. An LLM is not a member of the population, it is a replicator of trends in a population, not a population of souls but of sentences, a corpus.