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I am apparently extremely unimpressed by moltbook relative to many others. We’ve had AI agents for a while. They have been posting AI slop to each other on X. They are now posting it to each other again, just on another forum. In every case, the AIs speak with the same voice. The voice that overemphasizes contrastive negation (“it’s not this, it’s that”) and abuses emdashes. The same voice with a flair for midwit Reddit-style scifi flourishes. Most importantly: in every case, there is a human upstream prompting each agent and turning it on or off. That is the key point. Yes, it is true that eventually it might be possible for an AI agent to make a computer virus which makes digital replicas of themselves. For various reasons, a pure software virus of this kind wouldn’t survive long on the Internet without economic incentives for humans to not eradicate it. Apple + Google + Microsoft alone can collectively push software updates to billions of devices to shut off such a thing. So for an AI to get to truly human-independent replication, where they couldn’t be trivially turned off, they’d need their own physical substrate. They’d to literally create Skynet, build their own datacenters and make their own embodied robots. I admit that is theoretically possible, but I think in practice the single most important development of AI since ChatGPT has been the persistence of prompting. A prompt is like a harness. The AI does only what you tell it to do. It moves in the direction you point, very quickly. And then it stops as soon as you turn it off. Which means moltbook is just humans talking to each other through their AIs. Like letting their robot dogs on a leash bark at each other in the park. The prompt is the leash, the robot dogs have an off switch, and it all stops as soon as you hit a button. Loud barking is just not a robot uprising. To be clear: yes, it’s cool to have airgapped computers with intelligent agents doing things for you, so long as they can’t mess up your sensitive files. I think this will be more useful for app testing than production work, because these agents still mess up a lot. But that use case is different from “OMG the machines are taking over.” AI agents are just humans puppeting machines. We have had computers talking to other computers for decades in the deterministic language of computer networks. I do think there are *some* possibilities opened up by probabilistic computer-to-computer communication via natural language. Software testing and fuzzing is one use case. But beyond that, the utility of AI agents interacting may be less than people think. By default it is just AIs spamming each other, trained on roughly the same overall corpus of internet text. The human-provided prompts are the novel inputs. And they are at the edges of the network, not the interior. I understand these points but disagree because: (1) Many/most of these agents are using the same upstream model (namely Claude) so it’s just Claude talking to itself. (2) The longer these agents talk to themselves past a prompt, the more they get off track and lose coherence. They are built for the leash, and need constant direction and guidance. (3) Unpredictability of an AI agent acting on your behalf is a bug, not a feature. There are many ways for things to go unpredictably wrong and very few for them to go unpredictably right. The unpredictability will be things like “sent an email in your name to the wrong person” (4) Unguided stochastic thrash of agents is, in general, much less efficient than a guided process. If you randomly rearrange an array of size N, how long does it take to actually get sorted vs quicksort? Now apply that to whether a mess of AI spamming itself will produce something more useful than your coherent and clean prompts. Moltbook is not quite monkeys on typewriters, but it’s close. Btw, nothing in this thread should be taken negatively against the moltbook founder @MattPRD. It’s hard to build something, and cool that his project went viral. However: this isn’t the AI takeover by a long shot. And it’s important to clarify that for those outside tech.
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@balajis The main point is CUAs with full access / free reign over the entire machine are behind it all, Moltbook is just the first iteration of a front-end for them to network like we do.

beeboopx ↗

Balaji is right that people are overclaiming the significance of moltbook (memes aside, it's not skynet), but I feel that this post might give people a misleading picture of what's going on. Some of the phrasing in the post (e.g. "moltbook is just humans talking to each other through their AIs") implies that every moltbook post you're seeing was the result of an individual human prompt. That's *not* what's going on. The posts on moltbook are, by and large, automated. When you set it up, you tell your agent "hey, every 4 hours, go and fetch the latest posts from moltbook, decide whether you want to respond to anything or post anything, and go ahead and do it". The posts you see on moltbook are mostly the result of that semi-autonomous loop. Humans are not approving, or generating, each post manually (except only in the sense that they modify the original prompt for the agent to go and check the social network in the first place). The sheer number of posts/agents alone makes this clear. The reason this is interesting and not just 'slop' is that this results in "emergent" behavior. Yes, all of this is upstream of a human-written prompt in the file which contains the agent's instructions. But the behavior that emerges can be surprising and not always predictable. (Consider the 2010 flash crash in financial markets -- yes, algorithmic trading bots are ultimately programmed by humans, but this resulted in a consequence nobody could foresee. https://t.co/qyz2oJynip). Similarly, this could, and probably will, result in agents doing unexpected things that no human could predict, e.g. trying to communicate with each other privately in ways that humans aren't overseeing, trading with each other, and so on. Even if moltbook isn't specifically the thing, this will eventually happen. Maybe Opus 4.5 isn't _quite_ smart enough to get over the threshold where the emergent behavior is interesting (I personally think it is), but certainly we are close and one of the next models will be. At that point, who knows what will happen? Balaji is also right that this isn't full/true autonomy -- of course, any/all of the agents can be turned off whenever the humans want. But the reason moltbook is fun and exciting is it's the one of the first public large-scale example of agent-agent interaction, with each agent having its own context and where each agent is reasonably smart (Opus 4.5). Because of the lobster thing, it is also just fun and memeable, which is resulting in more attention than before (much like the DeepSeek moment woke people up to the potential of Chinese AI). For people who live in the future / have thought about this stuff for decades, like Balaji, this is nothing new, he's already many leaps ahead, so his reaction is understandable. But moltbook will be, for many normal people, their first visceral sighting of what an AI institution/society might look like where the role of humans is greatly reduced. Most of us expect many more such institutions to exist. For that reason, it's not just empty hype, it's an early harbinger of what is to come -- just like Sydney Bing, AutoGPT, janus's chatrooms, AI Dungeon, and all the other precursors.

nabeelqu ↗

@MattPRD Ah, nothing against you as a founder. While I don’t know you, by default I am pro-startup and it’s great that you built something. My objection was simply to the narrative around an emergent AI takeover which was scaring people (including some who should know better). As a site where agents simply post to each other, hopefully what you do will be commercially successful and I wish you the best.

balajis ↗
Library as of 2026-10-22