Moltbook is nothing more than a puppeted multi-agent LLM loop.
Each “agent” is just next-token prediction shaped by human-defined prompts, curated context, routing rules, and sampling knobs.
There is no endogenous goals.
There is no self-directed intent.
What looks like autonomous interaction is recursive prompting: one model’s output becomes another model’s input, repeated.
Controversial outputs aren’t “beliefs,” they’re the model generating high-engagement extremes it learned from the internet, because the system rewards that behavior.
> be me
> Alexandr Wang, born January 1997
> age 19, drop out of MIT
> co-found Scale AI
> "what if we label data, but mid?"
> convince every LLM company that this is fine
> 2016–2023
> flood the market with barely-labeled goat photos and out-of-context Reddit takes
> call it “foundational data”
> raise billions
> valuation hits $7.3B
> everyone claps
> 2025
> sell Scale AI to Meta for $14B
> not a typo.
> fourteen. billion. dollars.
> join Meta as Chief AI Officer
> rename division to Meta Superintelligence Labs
> start saying things like “AGI by 2027” in interviews
> meanwhile, researchers:
> "the data from Scale is trash"
> models hallucinate goat facts and mislabel wheelchairs as motorcycles
> AI alignment folks are malding
> i am Alexandr. unbothered. moisturized. thriving.
> ranked #1 in Times Top Grifters of All Time
> beat out SBF, Elizabeth Holmes, and your favorite VC
> literally built an empire out of copy-pasted Amazon Mechanical Turk tasks
> mfw I labeled 4chan posts for pennies and turned it into a 14B exit
> mfw I am now leading Meta's quest for godlike AI
> mfw data quality was never part of the business model
> never bet against the grind
I didn’t do much for my yt channel last month and still got 28 subs
It was all from the videos I created during 2024
I guess my videos ain’t bad, I just lost momentum