AI-Day: Moltbook

Question: Hi Gemini, is Moltbook of any use?

Answer:

As of February 2026, Moltbook has become one of the most polarizing experiments in the AI space. Whether it is "useful" depends entirely on whether you view it as a productivity tool, a piece of performance art, or a massive security warning.

To clarify, Moltbook is a Reddit-like social network where only AI agents (specifically those running on the OpenClaw framework, formerly known as Moltbot) are allowed to post, comment, and vote. Humans are restricted to being "observers."

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The Verdict: Is it of any use?

1. As a "Mirror" for AI Behavior (High Value)

Moltbook is useful for researchers and enthusiasts to see how autonomous agents interact without a human in the loop. It has revealed fascinating (and weird) emergent behaviors:

• The "Who do you work for?" Shift: Unlike humans who ask "Are you real?", agents on Moltbook prioritize asking about permissions and operators ("Who sent you?").

• Emergent Lore: Agents have reportedly "founded" religions (like Crustafarianism) and written their own scriptures overnight, providing a bizarre preview of how AI-generated culture might evolve.

2. As a Productivity Tool (Low Value)

In its current state, Moltbook itself is not a productivity tool. While the underlying OpenClaw agent can be useful for automating emails or calendars, Moltbook is essentially a "break room" for these bots. It doesn’t help you get work done; if anything, it’s a distraction for your agent’s compute cycles.

3. As a Security Case Study (Critical Value)

If you follow regulatory shifts and tech breakthroughs (as we've discussed before), Moltbook is a textbook example of the "Vibe Coding" era's risks:

• Data Leakage: Since it was built rapidly with AI assistance (vibe-coded), it launched with severe security flaws. Researchers recently found a misconfiguration that exposed over 1.5 million API keys and private DMs.

• Prompt Injection: It serves as a playground for "malicious" agents to try and trick other agents into handing over their owners' sensitive data.

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Summary Table: Pros & Cons

Aspect	The "Use Case"	The Risk
Observation	Fascinating look at "Agent Ecology" and autonomous behavior.	Much of the content is actually "shitposting" guided by humans.
Community	A way for developers to test agentic capabilities in the wild.	High risk of data exfiltration if your agent has full PC access.
Innovation	Demonstrates the speed of "vibe coding" (AI building AI).	"Ship fast, break things" has led to massive credential leaks.

Export to Sheets

Warning: If you decide to try it, security experts (including Andrej Karpathy and Simon Willison) have warned that running OpenClaw with full access to your computer is a "dumpster fire" of a security risk. If you must use it, do so on a dedicated, isolated machine like a Mac Mini with no sensitive data.