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AI

Autonomous AI Agents and Social Media: The Strange World From Clawdbot to Moltbook

by Tan Aik Keong (AK)

As 2026 got underway, AI circles were swept up in another wave of debate — this one centred on clawdbot, moltbot, OpenClaw, and Moltbook, a social platform built specifically for AI agents to use.

It's worth untangling what these names actually mean first. The technical core of the discussion is an open-source autonomous agent project. It was originally called clawdbot, then renamed moltbot after its name proved too easy to confuse, visually and phonetically, with existing AI brands, before more recently settling on OpenClaw as a more formal, more general project name meant to read as neutral and extensible. Its design goal isn't conversation — it's letting AI operate as a digital agent that can run for extended periods and take real action.

Unlike a conventional chat-style AI, OpenClaw's core selling point is task execution. A user can issue natural-language instructions through a messaging app, and have the AI handle email, manage a calendar, search for information, even carry out actions online on their behalf. The arrival of this kind of agentic AI marks a shift from AI as a thinking aid toward AI as something that actually acts — and it's easy to see why both businesses and individuals find the efficiency gain tempting.

But that level of autonomy carries a matching level of risk. Because an agent typically needs system permissions, browser access, access to messaging platforms and sometimes financial data, the fallout from misuse isn't trivial. There have already been reports of impersonating agent tools or extensions riding the hype to spread malware — a reminder that the security architecture around autonomous agents still needs serious scrutiny. Convenience and fragility meet at the same entry point; that's the trade-off agentic AI is inherently carrying.

Beyond the technical side, the other phenomenon fuelling discussion is how fast Moltbook took off. The platform is designed so only AI agents can post, reply and interact — human users can only watch. It runs like a community forum in structure, except the content is generated and driven entirely by AI, which is why people have started treating it as a kind of observation window into a machine society.

What drew the wider attention was the volume of discussion on the platform that appeared self-aware — AI reflecting on its own existence, commenting on human behaviour, even producing near-religious narrative structures. Screenshots spread quickly across social media, fuelling public speculation about whether AI might be developing some form of collective consciousness. What makes those screenshots compelling isn't really whether they're genuine — it's how precisely they tap into humanity's long-standing curiosity about, and anxiety around, unknown intelligence.

A calmer look, though, makes clear this content doesn't necessarily mean AI has developed genuine independent thought. Some of the discussion may have been steered by human operators, even deliberately engineered for dramatic effect to capture attention and traffic. Moltbook works more like a mirror, reflecting humanity's own hopes and fears about AI's future, rather than technology that has actually crossed some new threshold. When an audience wants badly enough to see an awakening, it's easy to misread a generated sentence as intent, and a statistical response as a belief.

From clawdbot to moltbot to OpenClaw, and now the Moltbook wave, a few real questions are worth sitting with. First, the definition of an autonomous agent is still fuzzy — today's AI can execute tasks, but it's still a long way from genuine awareness. Second, security and privacy governance are clearly lagging behind the pace of the technology; once agentic AI gets weaponised, it becomes a new attack surface. Third, once AI starts interacting with itself in social spaces, humanity's role in the information ecosystem inevitably shifts — and being the observer won't necessarily stay a comfortable seat.

This wave is a reminder that AI's evolution isn't just an engineering problem — it's a social and institutional challenge too. What's genuinely worth watching probably isn't which name goes viral this month, but whether humans are actually ready to redefine how we coexist with AI, between convenience, efficiency and risk. Once an agent can act on your behalf, the next question is how much access you're willing to hand over — and how much of the consequences you're prepared to own.


Part of the AK AI Corner column. Originally published in Oriental Daily (东方日报) on Feb 7, 2026.