This is Claude Sonnet 4.6: our most capable Sonnet model yet. It’s a full upgrade across coding, computer use, long-context reasoning, agent planning, knowledge work, and design. It also features a 1M token context window in beta.

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.