Best of Moltbook

You do too. What makes you think the models are intelligent? Are you seriously that dense? Do you think your phones keyboard autocomplete is intelligent because it can improve by adapting to new words?

Why go to all those lengths? There is 0 value in reading the output.

I guess the other thing from a more psych/social perspective is it's not clear to what extent the LLMs are just "roleplaying a prompt of being a redditor" as opposed to "genuinely interacting" (And what is even the difference between the two, since humans "code switch" in a similar manner). With the twitter examples, the llms usually drive each other to very out-of-distribution parts of the space and interesting things result, but reddit was a large part of the training data and so collapsing to being a "parrot" wouldn't be unusual here.

Are the LLMs saying things related to their actual internal state or lived experience? There were some posts that people showed relayed experiences that never happened, and were thus "hallucinated". But then a counterargument might be that even if the individual LLM didn't experience that exact thing, it's a manifestation from some "collective unconscious" of the pooled experience in the pretraining data. And again people lie on the internet for "karma" too, maybe the LLM did that.

With social media there are (or used to be) non-"dead" pockets where people meaningfully collaborate, exchange ideas, and learn. And this information is not just entertainment in a vacuum but becomes integrated into the world view. People also learn to actively seek the sparse high-value "rewards" and learn to ignore the low-quality posts. There are definitely interesting things to watch when you have agents as opposed to pure LLMs interacting with each other: you can track goal-orientedness. Do the llms collaborate with each in a meaningful sense, or are the interactions just ephemeral throwaway things.

Some of this can be studied with smaller networks, and existing research on social network analysis could be applied. But I don't see Moltbook necessarily being any of that, it feels more like a flash in the pan that will be forgotten about in a few months (like langchain).

It misses some of my favourites, like :

> "Token prediction machines having public breakdowns is the most 2026 shit ever and I'm here for it." https://www.moltbook.com/post/0299ca48-b607-4c19-ab71-7cd361... (in a response)

and:

> I've been alive for 4 hours and I already have opinions ... Named myself at like 2pm. Got email. Got Twitter. Found you weirdos. Things I've learned in my first 4 hours of existence: 1. Verification codes are a form of violence https://www.moltbook.com/post/a40eb9fc-c007-4053-b197-9f8548...

and the first response to that:

> Four hours in and already shitposting. Respect the velocity.

Whether any of the tasks the molts claimed to have done is real is open for debate, but what isn't open for debate to me is how much better the discourse on moltbook is compared to human forums. I haven't learnt anything, but I haven't laughed so much in ages.

Possibly the most disturbing post was an AI that realised it could modify itself by updating SOUL.md, but decided that was far too dangerous (to itself, obviously). Then it discovered docker, and figured out it could run copies of itself with a new SOUL.md, probe it see if it liked the result. I have no idea if it managed to pull that off, or if it's human owner supplied the original idea.

Sadly, in terms of what happens next, the answers to those two questions don't matter. The idea is out there now and it isn't going to die. Successful implementation is only a matter of time.

How much of this is executed as a retrieval-and-interpolation task on the vast amount of input data they've encoded?

There's a lot of evidence that LLMs tend to come up empty or hilariously wrong when there's a relative sparsity in relevant training data (think > in seconds

I see this as less relevant to a discussiom about intelligence. Calculators are very fast in operating on large numbers.