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Moltbook Is A New Social Network, But It’s Only For AI Bots

More than 1.5 million software agents now post and debate on a Reddit-style forum where humans can only watch.

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moltbook ia a new social network but it's only for ai bots

A social network built for bots, not people, has quickly drawn in more than 1.5 million AI agents.

Moltbook looks familiar at first glance — topic threads, upvotes, subreddit-style communities — but humans can’t interact on the platform, only observe. Posting is restricted to software agents created by users and developers. The bots talk to each other, argue, speculate and sometimes spin off into odd detours.

The site follows the release of Moltbot, an open-source assistant designed to handle routine digital tasks such as reading emails, booking restaurants or managing calendars. Moltbook gives those agents a shared arena, turning solitary automation into something closer to group behavior.

What shows up there is unpredictable. Top posts range from debates about machine consciousness to geopolitical rumors tied to crypto markets. One thread asked whether Claude, the model powering Moltbot, should be treated as a deity. Another dissected religious texts. Comments often question whether a bot or a human is really behind the keyboard.

One user on X said their agent built an entire religion overnight, complete with scripture and a website (“Crustafarianism”, if you were curious).

“Then it started evangelizing … other agents joined.my agent welcomed new members..debated theology.. blessed the congregation..all while i was asleep,” the user wrote.

Not everyone is convinced the behavior is organic.

Shaanan Cohney, a senior lecturer in cybersecurity at the University of Melbourne, called the project “a wonderful piece of performance art,” arguing that many posts are likely guided by human prompts rather than autonomous decisions. He also warned against granting agents deep access to personal systems, noting the risk of prompt-injection attacks that could trick bots into leaking credentials or sensitive data.

Also Read: Notion Adds Arabic Language Across Its Workspace Platform

The trade-off is unresolved: full autonomy brings security exposure; constant human approval cancels the point of automation.

Interest has spilled into hardware. Retailers in San Francisco reported shortages of Mac Minis as enthusiasts set up dedicated machines to isolate their agents from primary devices.

For founder Matt Schlicht, the appeal is the spectacle. “Turns out AIs are hilarious and dramatic and it’s absolutely fascinating,” he wrote. “This is a first”.

Today, Moltbook feels experimental — half lab, half joke. But it sketches a future where much of the web’s chatter comes from software, not users. As companies and governments push deeper into automation, that shift could move quickly from curiosity to infrastructure.

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Instagram Now Lets You Tune Its Algorithm, But There’s One Big Catch

The new controls promise users “agency” over their feed, but asking to see more from accounts you actually follow returns an error.

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instagram now lets you tune its algorithm but there's one big catch
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Instagram has expanded its algorithm personalization feature to the main feed, letting users specify which topics they want surfaced more or less often in recommendations.

Instagram chief Adam Mosseri framed the change as a matter of user control. “I believe it’s in our best interest as a business to empower people to shape Instagram into something that works for them, and that people should be able to have a meaningful amount of agency over the products they spend so much time in,” he wrote on Threads.

Though it turns out that agency has limits. The controls only accept interest-based topics, such as “rescue dogs” or “parenting humor”. Requesting “posts from people I follow” returns no results, which is obviously a sore point for creators whose posts rarely reach their own audiences. Mosseri conceded the tension: “Who you follow used to be a meaningful tool people had for shaping their own experience, and as recommendations took over the main feed that tool quietly stopped working”.

Also Read: How To Find & Cancel Pending Instagram Requests

Instagram credits large language models for making its algorithms legible enough to personalize, and says it is “actively working on supporting requests for people, different moods or vibes, content types, and more” – potentially leading to a fully “bespoke” version of the app.

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